570 Biowissenschaften; Biologie
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- Partial Little Square (2)
- Partnership (2)
- Paternity analysis (2)
- Pathway design (2)
- Periphyton (2)
- Personality (2)
- Pex1 (2)
- Pex6 (2)
- Pflanze (2)
- Pflanzengemeinschaften (2)
- Pflanzenwachstum (2)
- Phase variation (2)
- Phosphat (2)
- Photosynthesis (2)
- Phylogenetics (2)
- Phylogenie (2)
- Phylogenomics (2)
- Pipistrellus nathusii (2)
- Plankton (2)
- Plant community model (2)
- Plant development (2)
- Plant-soil feedback (2)
- Plants (2)
- Plasma membrane (2)
- Poecilia formosa (2)
- Poecilia latipinna (2)
- Polyadenylierung (2)
- Polyelektrolyt-Multischichten (2)
- Polysaccharide (2)
- Population dynamics (2)
- Predator-prey interactions (2)
- Pregnancy (2)
- Priming (2)
- Promiscuous enzymes (2)
- Protein (2)
- Proteinaggregation (2)
- Proteins (2)
- Proteomics (2)
- Pseudomonas aeruginosa (2)
- Pseudomonas syringae (2)
- Puumala virus seroprevalence (2)
- QDs (2)
- QTL (2)
- R Shiny (2)
- RNA (2)
- RNA interference (2)
- RNA virus (2)
- RNA-guided Cas9 (2)
- RUNX2 (2)
- Randomized-controlled trial (2)
- Raphidiopsis (2)
- Recombination (2)
- Redox marker (2)
- Redoxreaktion (2)
- Rice (2)
- Riesenvesikel (2)
- Rodent (2)
- Roridula gorgonias (2)
- Rotifera (2)
- RpoS (2)
- RubisCO (2)
- Russia (2)
- S-XRF (2)
- SELEX (2)
- SERS enhancement factor (2)
- SFON (2)
- SIMS techniques (2)
- SPB (2)
- SWL (2)
- Saccharomyces cerevisiae (2)
- Sailfin molly (2)
- Salmonella (2)
- Salmonella Typhimurium (2)
- Saprolegnia (2)
- Saprolegniaceae (2)
- Savannas (2)
- Schwefel (2)
- Scopoletin (2)
- Seasonality (2)
- Sediment (2)
- Senescence (2)
- Sequenzierung der nächsten Generation (2)
- Serine cycle (2)
- Sexual selection (2)
- Siberian tree line (2)
- Sibirien (2)
- Simulation (2)
- Smpd1 (2)
- Soil function (2)
- Solanaceae (2)
- Solanum tuberosum (2)
- Space use (2)
- Specific wood density (2)
- Strategic growth adjustment (2)
- Stress (2)
- Sundaland (2)
- Sus scrofa (2)
- Säugetiere (2)
- TEM (2)
- TMS (2)
- TTR (2)
- Tailspike protein (2)
- Tanzania (2)
- Temperate forest (2)
- Tenebrio molitor larvae (2)
- Toll and Imd pathways (2)
- Tomato (2)
- Transcription factors (2)
- Transcriptional memory (2)
- Transcriptome assembly (2)
- Transporters (2)
- Tree allometry (2)
- Turkey (2)
- TusA (2)
- Type 2 Diabetes (2)
- UV radiation (2)
- Ulcerative colitis (2)
- Urbanization (2)
- Ursus arctos (2)
- Venom proteins (2)
- Verkhoyansk mountains (2)
- Virus (2)
- Walker A motif (2)
- Wastewater (2)
- Weakly electric fish (2)
- Weißstorch (2)
- Wildschwein (2)
- Wind (2)
- Wood specific gravity (2)
- Woody aboveground biomass (2)
- X-ray structure (2)
- XMRV (2)
- Xpr1 (2)
- Yap1/Wwtr1 (Taz) (2)
- Zebrafish (2)
- Zellweger (2)
- Zellweger syndrome spectrum disorder (ZSSD) (2)
- Zinypr-1 (2)
- Zytoskelett (2)
- aberrations (2)
- accelerometer (2)
- acclimation (2)
- acid mine drainage (2)
- acoustic communication (2)
- actin polymerization (2)
- activated carbon (2)
- activator–inhibitor models (2)
- adaptive introgression (2)
- adaptive processes (2)
- adaptive radiation (2)
- adiponectin (2)
- adiposity (2)
- age (2)
- ageing (2)
- agricultural landscape (2)
- agrin (2)
- agro-infiltration (2)
- aldehyde oxidoreductase (2)
- alignment (2)
- alignment sensitivity / specificity (2)
- alkylphospholipids (2)
- all-cause mortality (2)
- allocation (2)
- alphaherpesvirus (2)
- alternative splicing (2)
- amino acid (2)
- amino acids (2)
- amphibians (2)
- animal cognition (2)
- animal migration (2)
- anthropogenic environment (2)
- anthropogenic food subsidies (2)
- anthropometric measures (2)
- anti-oxidative response (2)
- antibody producing cell selection (2)
- antioxidant capacity (2)
- anxiety-like behavior (2)
- aphids (2)
- apis mellifera (2)
- apple (2)
- aquatic ecosystems (2)
- aqueous dispersion (2)
- aqueous-solution (2)
- arable land (2)
- arable weeds (2)
- arbuscular mycorrhizal symbiosis (2)
- archival DNA (2)
- area-based conservation (2)
- arsenic (2)
- arthropod (2)
- artificial light at night (ALAN) (2)
- ascorbate peroxidase (2)
- assembly (2)
- assembly processes (2)
- assembly rules (2)
- autocorrelation (2)
- automated radio telemetry (2)
- axillary bud (2)
- baltic sea (2)
- basal body (2)
- base excision repair (incision activity) (2)
- bat fatalities (2)
- behavioral plasticity (2)
- behavioral type (2)
- behaviour (2)
- behavioural syndrome (2)
- beta diversity (2)
- bias (2)
- bifurcation (2)
- bifurcation theory (2)
- biodiversity conservation (2)
- biodiversity decline (2)
- biodiversity exploratories (2)
- biodiversity facets (2)
- biofortification (2)
- biogenic amine (2)
- biological age (2)
- biological control (2)
- biological invasions (2)
- biological soil crusts (2)
- biomarker detection (2)
- biomaterials (2)
- biomimetic sensors (2)
- biophysics (2)
- biosensors (2)
- biosignatures (2)
- biostimulant (2)
- biosynthesis (2)
- biotic filtering (2)
- biotin sulfoxide reductase (2)
- bisphosphonates (2)
- body composition (2)
- body proportions (2)
- bone mineral density (2)
- bone pathologies (2)
- brackish waters (2)
- brain insulin signaling (2)
- branched chain amino acids (2)
- branching (2)
- breeding (2)
- buffer zones (2)
- bush encroachment (2)
- cTBS (2)
- cadmium-free (2)
- caffeine (2)
- calcination (2)
- calcite (2)
- calcium (2)
- calcium carbonate inclusions (2)
- calcium influx (2)
- canalization (2)
- cancer epidemiology (2)
- capture enrichment (2)
- carbohydrates (2)
- carbon dots (2)
- carbon isotopes (2)
- carbon labeling (2)
- cardiac development (2)
- cardiomyocyte (2)
- cardiomyogenic differentiation (2)
- carotenoid biosynthesis (2)
- carrion ecology (2)
- cascading effects (2)
- catalase (2)
- cave fish (2)
- cell division (2)
- cell shape (2)
- cells (2)
- cellular bioenergetics (2)
- cellular bioimaging (2)
- cellular signalling (2)
- cellulose polymeric organic matter (2)
- cerami-des (2)
- ceramides (2)
- cereal leaf beetle (2)
- cereal meals (2)
- child growth (2)
- chimeric transcription factors (2)
- chlamydomonas (2)
- chlorophyll a (2)
- chloroplast (2)
- chronic diseases (2)
- chytridiomycota (2)
- cis-regulatory evolution (2)
- climate adaptation (2)
- climate dynamics (2)
- climate extremes (2)
- climate warming (2)
- co-expression (2)
- co-limitation (2)
- codon usage (2)
- coefficient (2)
- coffee by-products (2)
- cold stress (2)
- collagen (2)
- colony viability (2)
- common‐garden experiment (2)
- community model (2)
- community structure (2)
- community theory (2)
- competition–defense trade‐off (2)
- comprehensive analysis (2)
- concepts (2)
- confocal microscopy (2)
- conformational change (2)
- conformational rearrangement (2)
- congeneric species (2)
- conscripts (2)
- constitutive activity (2)
- constraint-based modeling (2)
- converting factor (2)
- copper complex (2)
- copper(II) (2)
- copper-related disorders (2)
- cord blood (2)
- core shell UCNP (2)
- cori cycle (2)
- cortisol (2)
- counting (2)
- coviability analysis (2)
- crop diversity (2)
- cropping system (2)
- cross-species capture (2)
- cryolithology (2)
- cryptomycota (2)
- cyanobacterial bloom (2)
- cyanobacterial sucrose-phosphatase (2)
- cyclic AMP (2)
- cytochrome c (2)
- cytoplasmic polyadenylation (2)
- cytosine methylation (2)
- cytosolic tRNA thiolation (2)
- cytotoxicity (2)
- dark virus (2)
- data integration (2)
- ddRAD (2)
- de novo genome assembly (2)
- dead Cas9 (2)
- decline (2)
- defense against predation (2)
- defensive symbiosis (2)
- degraded DNA (2)
- dehydration (2)
- demographic noise (2)
- depressive-like behavior (2)
- desiccation (2)
- design of experiment (2)
- developing brain (2)
- developmental canalization (2)
- developmental dyslexia (2)
- developmental plasticity (2)
- diacylglycerol (2)
- dietary patterns (2)
- dietary restriction (2)
- differential expression analysis (2)
- digestive enzymes quantification (2)
- dimerization of 4-nitrothiophenol (2)
- dispersal filtering (2)
- diversity profiles (2)
- dominance effect (2)
- droughts (2)
- drug delivery (2)
- drug metabolism (2)
- drug release (2)
- dynamic equilibrium (2)
- eastern continental Asia (2)
- eavesdropping (2)
- echolocation (2)
- ecophysiology (2)
- ecosystem services provisioning (2)
- education (2)
- effectors (2)
- egg ratio (2)
- eicosapentaenoic acid (2)
- electric fish (2)
- electroencephalography (EEG) (2)
- electron paramagnetic resonance (2)
- electronic tool integration (2)
- emotional imagery (2)
- emotions (2)
- endocardium (2)
- endotoxin (2)
- energy expenditure (2)
- enrichment experiments (2)
- entropy (2)
- environmental DNA (2)
- environmental genomics (2)
- environmental noise (2)
- enzymology (2)
- epidemiology (2)
- epigenetic variation (2)
- epiphytes (2)
- epithionitrile (2)
- epitope prediction (2)
- epizoochory (2)
- equalizing and stabilizing mechanisms (2)
- error reduction (2)
- establishment (2)
- event coincidence analysis (2)
- evolutionary ecology (2)
- evolutionary rescue (2)
- exploitation (2)
- expression profile (2)
- extinction (2)
- extinction drivers (2)
- extra-cytoplasmic pockets (2)
- extracellular DNA (2)
- extracellular enzymes (2)
- extracellular matrix (2)
- extracellular signaling (2)
- eye-tracking (2)
- facilitation (2)
- fatty acid changes (2)
- feeding (2)
- feeding behaviour (2)
- fence interaction (2)
- fertilization (2)
- fetal origins hypothesis (2)
- fisheries (2)
- fitness gradient (2)
- fitness response (2)
- floating mat (2)
- flooded grasslands (2)
- floral scent (2)
- fluorescent probe (2)
- food frequency questionnaire (2)
- food web dynamics (2)
- food webs (2)
- forage availability (2)
- forage gaps (2)
- foraging (2)
- foraging behaviour (2)
- forebrain (2)
- forest management (2)
- forestREplot (2)
- formaldehyde assimilation (2)
- formate dehydrogenase (2)
- fractionation (2)
- fractionation factors (2)
- fragmentation (2)
- free zinc (2)
- freshwater algae (2)
- freshwater heterotrophic bacteria (2)
- functional complementation (2)
- functional inhibitors of acid sphin-gomyelinase (2)
- functional response (2)
- functional richness (2)
- fungal diversity (2)
- fungal pathogens (2)
- funktionelle Diversität (2)
- gamma diversity (2)
- gas-production (2)
- gene delivery (2)
- gene regulation (2)
- generalized dissimilarity modelling (2)
- genetic accommodation (2)
- genetic adaptation (2)
- genetic rescue (2)
- genetic screen (2)
- genetischer Screen (2)
- genome (2)
- genome scan (2)
- genomic prediction (2)
- geo-bio interaction (2)
- geographic distribution (2)
- glacial maximum (2)
- global and regional change (2)
- glucocorticoid receptor (2)
- glucose (2)
- glucosinolate hydrolysis (2)
- glutathione (2)
- glutathione peroxidase (2)
- glycine cleavage system (2)
- governance (2)
- gross primary production (2)
- groundwater (2)
- groundwater recharge (2)
- growth behavior (2)
- growth restriction (2)
- guard cell (2)
- gwas (2)
- habitat (2)
- habitat selection (2)
- habitat use (2)
- habituation (2)
- hantavirus (2)
- heart regeneration (2)
- heat (2)
- heat shock protein (2)
- heliozoa (2)
- hepcidin-25 (2)
- hilly loes plateau (2)
- histone modification (2)
- holding capability (2)
- holding isometric muscle action (HIMA) (2)
- holocene (2)
- honey bees (2)
- hoverflies (2)
- human aldehyde oxidase (2)
- human endotoxemia (2)
- human excised skin (2)
- human introduction (2)
- human-wildlife conflict (2)
- hybridoma (2)
- hydrogels (2)
- hyena (2)
- hyperoxia (2)
- hypertension (2)
- hyperthermia (2)
- hypoxia (2)
- identification (2)
- immunoassay (2)
- immunogenicity (2)
- in silico (2)
- in vitro intestinal model (2)
- in-vitro-synthesis (2)
- inbreeding depression (2)
- indirect facilitation (2)
- individual based modeling (2)
- individual-based modeling (2)
- infancy (2)
- infiltration (2)
- inhibition (2)
- inner-mongolia (2)
- insects (2)
- integrated assessments (2)
- inter-brain synchronization (2)
- inter-muscle-brain synchronization (2)
- interpersonal muscle action (2)
- interspecific interactions (2)
- intestinal mucins (2)
- intestinal zinc resorption (2)
- intra-organ-communication (2)
- intraguild predation (2)
- intraspecific variation (2)
- invasibility (2)
- invasion success (2)
- invasive species (2)
- ion mobility spectrometry (2)
- ion-exchange chromatography (2)
- ionic liquid (2)
- ionic strength (2)
- ionogel (2)
- iron-sulfur clusters (2)
- island biogeography (2)
- island disharmony (2)
- island syndromes (2)
- islands (2)
- isomerization (2)
- jasmonate (2)
- kelp (2)
- l-cysteine desulfurase (2)
- lake monitoring (2)
- lake periphyton (2)
- land sharing vs. land sparing (2)
- land use change (2)
- land-use change (2)
- landscape diversity (2)
- landscape generator (2)
- landscape homogenization (2)
- late pleistocene (2)
- later health (2)
- lichens (2)
- life cycle (2)
- life‐history traits (2)
- ligand exchange (2)
- light adaptation (2)
- light variability (2)
- limits (2)
- lipid classes (2)
- lipid limitation thresholds (2)
- lipid membranes (2)
- lipid–lipid interactions (2)
- lipoplexes (2)
- loci (2)
- lokale Anpassung (2)
- longitudinal (2)
- low-energy electrons (2)
- luminescence (2)
- lysosomal hydrolases (2)
- lysosomal storage disorders (2)
- lysosome (2)
- mRNA degradation (2)
- magnitude estimation (2)
- maintenance (2)
- maintenance of functional diversity (2)
- maintenance of genomic integrity (2)
- major histocompatibility complex (2)
- male Daphnia (2)
- maltooligosaccharides (2)
- mammalian-cells (2)
- manganese (2)
- manual muscle test (2)
- many-to-one genotype–phenotype map (2)
- mapping (2)
- mass conservation (2)
- mass index (2)
- mate-pairs (2)
- mathematical modelling (2)
- mathematical precursor (2)
- maturation (2)
- meal timing (2)
- mechanical (2)
- mechanical strength (2)
- mechanisms (2)
- mechanomyography (MMG) (2)
- mediated delivery (2)
- membrane biophysics (2)
- membrane fusion (2)
- membrane microdomains (2)
- membrane protein (2)
- membrane stabilization (2)
- memory (2)
- mercaptocarboxylic acids (2)
- mesenchymal stem cells (2)
- mesophyll cell (2)
- messenger-rna polyadenylation (2)
- meta-analysis (2)
- metabolic syndrome (2)
- metabolic-profiling (2)
- metabolische Netzwerke (2)
- metagenome (2)
- metagenomic analysis (2)
- metagenomics 2.0 (2)
- metal complex (2)
- metal peptide (2)
- metallopeptide (2)
- metalloprotein (2)
- methane (2)
- methane oxidation (2)
- methylotrophy (2)
- microarrays (2)
- microbial activity (2)
- microbial communities (2)
- microbiota (2)
- microclimate (2)
- microcomputed tomography (2)
- microeukaryotes (2)
- microfluidics (2)
- microstructure (2)
- microtubule-organization (2)
- mining lakes (2)
- mitochondrial genome (mtDNA) (2)
- mitogenomes (2)
- mixed cultures (2)
- model (2)
- model integration (2)
- model limitations (2)
- modeling (2)
- models (2)
- modern coexistence theory (2)
- mojave desert (2)
- molecular dynamics simulations (2)
- molecular evolution (2)
- molecular species identification (2)
- molecularly imprinted polymers (2)
- molybdoenzyme (2)
- molybdopterin synthase (2)
- morphology (2)
- mouse (2)
- movement speed (2)
- mowing (2)
- mucus layer (2)
- multidrug resistance (2)
- multiple sclerosis (2)
- multishell (2)
- multivalence (2)
- multi‐ year flooding cycle (2)
- musicality (2)
- mutation (2)
- mutual information (2)
- myocardial infarction (2)
- myocardium (2)
- myoglobin (2)
- n-oxide reductase (2)
- nachhaltige Landnutzung (2)
- nanoelectrodes (2)
- nanogels (2)
- native American ancestry (2)
- nature conservation (2)
- necrobiome (2)
- neophilia (2)
- neophobia (2)
- net primary productivity (2)
- network analysis (2)
- network reconstruction (2)
- networks (2)
- neurodegeneration (2)
- neurodegenerative diseases (2)
- neuroendocrine (2)
- neuromuscular adaptation (2)
- niche and fitness differences (2)
- niche width (2)
- nickel (2)
- nitrile (2)
- nitrogen fixation (2)
- nitrogen limitation (2)
- nitrous-oxide (2)
- noise color (2)
- non-alcoholic fatty liver disease (2)
- non-linear dynamics (2)
- nonlinear waves (2)
- nuclear pore complex (2)
- nucleolus (2)
- nucleoporins (2)
- nucleus-associated body (2)
- number knowledge (2)
- nutrient (2)
- nutrient availability (2)
- nutrient spike (2)
- nutrient transport (2)
- octopamine (2)
- odd chain fatty acids (2)
- oil palm (2)
- omics (2)
- ontogeny (2)
- ordinary differential equation (2)
- organ size (2)
- organic compounds adsorption (2)
- organic matter (2)
- organic–inorganic hybrid (2)
- organisches Material (2)
- osmotic-pressure (2)
- osteoporosis (2)
- other-race effect (2)
- outbreeding depression (2)
- overhunting (2)
- overweight (2)
- oxidase (2)
- oxidative stress tolerance (2)
- pH (2)
- pace-of-life syndrome (2)
- paleoenvironmental records (2)
- parameter estimation (2)
- parameters (2)
- paraquat (2)
- parasitoid (2)
- parchment (2)
- parentage (2)
- partial correlation (2)
- participatory research (2)
- pathogens (2)
- pathway engineering (2)
- pattern formation (2)
- performance (2)
- perialpine lakes (2)
- periphyton (2)
- periplasmic nitrate reductase (2)
- phagocytosis (2)
- phase transfer (2)
- phenotypic phase plane (2)
- phenotyping (2)
- phloem (2)
- phloem proteins (2)
- phonotaxis (2)
- phosphate (2)
- phosphatidylserine (2)
- phosphoglucan (2)
- photoresponse (2)
- physical and physiological dormancy (2)
- physiology (2)
- phytoplankton host (2)
- plant Mediator (2)
- plant adaptation (2)
- plant clonality (2)
- plant invasion (2)
- plant macro-fossils (2)
- plant macrofossil data (2)
- plant naturalization (2)
- plant strategies (2)
- plant–soil feedback (2)
- plasma measurements (2)
- plastic-associated biofilms (2)
- plastid transformation (2)
- plastidial phosphorylase (2)
- platelets (2)
- playback (2)
- pleasant and unpleasant imagery (2)
- polarization (2)
- pollination (2)
- poly(ADP-ribosyl)ation (2)
- poly(a)-binding protein (2)
- polyadenylation (2)
- polyamide (2)
- polyethylene (2)
- polymer degradation (2)
- polyphenols (2)
- polysulfide (2)
- population delimitation (2)
- population genetics (2)
- population viability analysis (2)
- population-specific risk marker (2)
- positive selection (2)
- postglacial recolonization (2)
- potential-functions (2)
- pre-school (2)
- preadaptation (2)
- precuneus (2)
- predator (2)
- predator–prey cycles (2)
- pregnancy (2)
- preterm infants (2)
- primary metabolism (2)
- prior knowledge (2)
- probiotics (2)
- production (2)
- progenitor cells (2)
- proline (2)
- promiscuous (2)
- properties (2)
- prostaglandin E2 (2)
- protein aggregation (2)
- protein restriction (2)
- protein-carbohydrate interactions (2)
- protein-protein interaction (2)
- proteostasis (2)
- provitamin A (2)
- psychosocial stress (2)
- pubertal timing (2)
- public health (2)
- pulse perturbation (2)
- purifying selection (2)
- purity (2)
- pushing isometric muscle action (PIMA) (2)
- pyridoxal-50-phosphate (2)
- pyruvate (2)
- quality (2)
- quantification (2)
- quantum dots (2)
- questioning solutions (2)
- racemization (2)
- radiocarbon (2)
- radiocarbon dating (2)
- rain event depth (2)
- random forest (2)
- range size (2)
- rat (2)
- reaction norms (2)
- reciprocal transplant experiment (2)
- recombinant inbred line population (2)
- redfield ratio (2)
- redox (2)
- redox polymer (2)
- reference material (2)
- regime shift (2)
- regulate gene expression (2)
- reliability (2)
- repetition (2)
- repetitive elements (2)
- reproducibility (2)
- reserve design (2)
- resistin (2)
- resonance energy transfer (2)
- resource-tracking (2)
- respiration (2)
- responses (2)
- reveals (2)
- reversed-phase chromatography (2)
- reversible shape-memory actuator (2)
- rhizopods (2)
- rhodobacter-capsulatus (2)
- rhythm perception (2)
- rhythmic grouping (2)
- risk management cycle (2)
- robustness (2)
- rodent (2)
- root morphology (2)
- rooting depth (2)
- salicylic-acid (2)
- saliva (2)
- sarcopenia (2)
- savanna (2)
- scaffolding (2)
- scale-dependency (2)
- scaled mass index (2)
- scaling (2)
- school mathematics (2)
- seawater (2)
- secondary metabolites (2)
- secular changes (2)
- seed mass (2)
- selection (2)
- selenium (2)
- selenoneine (2)
- selfing syndrome (2)
- semi-closed mitosis (2)
- senescence (2)
- sequence dependence (2)
- sequence-structure-function relationship (2)
- sequencing error (2)
- serine palmitoyltransferase (2)
- serum (2)
- sex (2)
- sexual selection (2)
- sexual species (2)
- shrub size (2)
- shrub-encroachment (2)
- silica beads (2)
- single ribosomes (2)
- sirna transfection (2)
- skin (2)
- skin penetration (2)
- smoking (2)
- social status (2)
- socioeconomic status (2)
- socioeconomy (2)
- soil texture (2)
- soils (2)
- solitary bees (2)
- source regions (2)
- source-sink dynamics (2)
- spatial (2)
- spatial autocorrelation (2)
- spatial localization (2)
- spatial updating (2)
- spatially explicit (2)
- spatially explicit model (2)
- specialized metabolites (2)
- species abundance (2)
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Institute
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Trends in growth and developmental tempo in boys aged 7 to 18 years between 1966 and 2012 in Poland
(2020)
Objectives:
To assess trends in growth in different developmental periods and trends in developmental tempo in Polish boys between 1966 and 2012.
Methods:
Data on 34 828 boys aged 7 to 18 years were collected during Polish Anthropological Surveys conducted in 1966, 1978, 1988, and 2012. Biological parameters, related to onset of adolescent growth spurt (OGS) and peak height velocity (PHV), were derived from a Preece-Baines 1 model (PB1). Childhood (height at 7 years of age), pre-adolescent (height at OGS) and adolescent growth (adult height minus height at OGS) were identified.
Results:
Positive secular trend between 1966 and 2012 in adult height accounted for, on average, 1.5 cm/decade, with varying intensity between the Surveys. Decline in both age at OGS and APHV between 1966 and 2012 (1.5 and 1.4 years, respectively) indicated an acceleration in developmental tempo, on average, by 0.3 year/decade. Increases in the contribution to the trend in adult height gained during growth in particular developmental periods between 1966 and 2012 were as followed-childhood: 0.6%, pre-adolescent growth: -3.1%, adolescent growth: 3.1%.
Conclusions:
Secular trend in developmental tempo and growth among boys reflects changes in living conditions and socio-political aspirations in Poland during nearly 50 years. Acceleration in tempo is already visible at age at OGS, whereas the trend in adult height occurs largely during adolescence, pointing to different regulation of developmental tempo and growth in body height. This finding emphasizes the importance of extending public health intervention into children's growth up until adolescence.
For the first time, an enzyme-based electrochemical biosensor system for determination of trimethylamine N-oxide (TMAO) is described. It employs an active chimeric variant of TorA in combination with an enzymatically deoxygenating system and a low-potential mediator for effective regeneration of the enzyme and cathodic current generation. TMAO reductase (TorA) is a molybdoenzyme found in marine and most enterobacteria that specifically catalyzes the reduction of TMAO to trimethylamine (TMA). The chimeric TorA, named TorA-FDH, corresponds to the apoform of TorA from Escherichia coli reconstituted with the molybdenum cofactor from formate dehydrogenase (FDH). Each enzyme, TorA and TorA-FDH, was immobilized on the surface of a carbon electrode and protected with a dialysis membrane. The biosensor operates at an applied potential of -0.8V [vs. Ag/AgCl (1M KCl)] under ambient air conditions thanks to an additional enzymatic O-2-scavenger system. A comparison between the two enzymatic sensors revealed a much higher sensitivity for the biosensor with immobilized TorA-FDH. This biosensor exhibits a sensitivity of 14.16nA/M TMAO in a useful measuring range of 2-110M with a detection limit of LOD=2.96nM (S/N=3), and was similar for TMAO in buffer and in spiked serum samples. With a response time of 16 +/- 2 s, the biosensor is stable over prolonged daily measurements (n=20). This electrochemical biosensor provides suitable applications in detecting TMAO levels in human serum.
Background
Secondary endosymbionts of aphids provide benefits to their hosts, but also impose costs such as reduced lifespan and reproductive output. The aphid Aphis fabae is host to different strains of the secondary endosymbiont Hamiltonella defensa, which encode different putative toxins. These strains have very different phenotypes: They reach different densities in the host, and the costs and benefits (protection against parasitoid wasps) they confer to the host vary strongly.
Results
We used RNA-Seq to generate hypotheses on why four of these strains inflict such different costs to A. fabae. We found different H. defensa strains to cause strain-specific changes in aphid gene expression, but little effect of H. defensa on gene expression of the primary endosymbiont, Buchnera aphidicola. The highly costly and over-replicating H. defensa strain H85 was associated with strongly reduced aphid expression of hemocytin, a marker of hemocytes in Drosophila. The closely related strain H15 was associated with downregulation of ubiquitin-related modifier 1, which is related to nutrient-sensing and oxidative stress in other organisms. Strain H402 was associated with strong differential regulation of a set of hypothetical proteins, the majority of which were only differentially regulated in presence of H402.
Conclusions
Overall, our results suggest that costs of different strains of H. defensa are likely caused by different mechanisms, and that these costs are imposed by interacting with the host rather than the host's obligatory endosymbiont B. aphidicola.
Bats are important components in tropical mammal assemblages. Unravelling the mechanisms allowing multiple syntopic bat species to coexist can provide insights into community ecology. However, dietary information on component species of these assemblages is often difficult to obtain. Here we measuredstable carbon and nitrogen isotopes in hair samples clipped from the backs of 94 specimens to indirectly examine whether trophic niche differentiation and microhabitat segregation explain the coexistence of 16 bat species at Ankarana, northern Madagascar. The assemblage ranged over 4.4% in delta N-15 and was structured into two trophic levels with phytophagous Pteropodidae as primary consumers (c. 3% enriched over plants) and different insectivorous bats as secondary consumers (c. 4% enriched over primary consumers). Bat species utilizing different microhabitats formed distinct isotopic clusters (metric analyses of delta C-13-delta N-15 bi-plots), but taxa foraging in the same microhabitat did not show more pronounced trophic differentiation than those occupying different microhabitats. As revealed by multivariate analyses, no discernible feeding competition was found in the local assemblage amongst congeneric species as compared with non-congeners. In contrast to ecological niche theory, but in accordance with studies on New and Old World bat assemblages, competitive interactions appear to be relaxed at Ankarana and not a prevailing structuring force.
Trophic transfer efficiency (TTE) is usually calculated as the ratio of production rates between two consecutive trophic levels. Although seemingly simple, TTE estimates from lakes are rare. In our review, we explore the processes and structures that must be understood for a proper lake TTE estimate.
We briefly discuss measurements of production rates and trophic positions and mention how ecological efficiencies, nutrients (N, P) and other compounds (fatty acids) affect energy transfer between trophic levels and hence TTE.
Furthermore, we elucidate how TTE estimates are linked with size-based approaches according to the Metabolic Theory of Ecology, and how food-web models can be applied to study TTE in lakes.
Subsequently, we explore temporal and spatial heterogeneity of production and TTE in lakes, with a particular focus on the links between benthic and pelagic habitats and between the lake and the terrestrial environment.
We provide an overview of TTE estimates from lakes found in the published literature. Finally, we present two alternative approaches to estimating TTE. First, TTE can be seen as a mechanistic quantity informing about the energy and matter flow between producer and consumer groups.
This approach is informative with respect to food-web structure, but requires enormous amounts of data. The greatest uncertainty comes from the proper consideration of basal production to estimate TTE of omnivorous organisms.
An alternative approach is estimating food-chain and food-web efficiencies, by comparing the heterotrophic production of single consumer levels or the total sum of all heterotrophic production including that of heterotrophic bacteria to the total sum of primary production.
We close the review by pointing to a few research questions that would benefit from more frequent and standardized estimates of TTE in lakes.
Ancient DNA of extinct species from the Pleistocene and Holocene has provided valuable evolutionary insights. However, these are largely restricted to mammals and high latitudes because DNA preservation in warm climates is typically poor. In the tropics and subtropics, non-avian reptiles constitute a significant part of the fauna and little is known about the genetics of the many extinct reptiles from tropical islands. We have reconstructed the near-complete mitochondrial genome of an extinct giant tortoise from the Bahamas (Chelonoidis alburyorum) using an approximately 1000-year-old humerus from a water-filled sinkhole (blue hole) on Great Abaco Island. Phylogenetic and molecular clock analyses place this extinct species as closely related to Galapagos (C. niger complex) and Chaco tortoises (C. chilensis), and provide evidence for repeated overseas dispersal in this tortoise group. The ancestors of extant Chelonoidis species arrived in South America from Africa only after the opening of the Atlantic Ocean and dispersed from there to the Caribbean and the Galapagos Islands. Our results also suggest that the anoxic, thermally buffered environment of blue holes may enhance DNA preservation, and thus are opening a window for better understanding evolution and population history of extinct tropical species, which would likely still exist without human impact.
Purpose Prolonged bed rest and microgravity in space cause intervertebral disc (IVD) degeneration. However, the underlying molecular mechanisms are not completely understood. Transient receptor potential canonical (TRPC) channels are implicated in mechanosensing of several tissues, but are poorly explored in IVDs. Methods Primary human IVD cells from surgical biopsies composed of both annulus fibrosus and nucleus pulposus (passage 1-2) were exposed to simulated microgravity and to the TRPC channel inhibitor SKF-96365 (SKF) for up to 5days. Proliferative capacity, cell cycle distribution, senescence and TRPC channel expression were analyzed. Results Both simulated microgravity and TRPC channel antagonism reduced the proliferative capacity of IVD cells and induced senescence. While significant changes in cell cycle distributions (reduction in G1 and accumulation in G2/M) were observed upon SKF treatment, the effect was small upon 3days of simulated microgravity. Finally, downregulation of TRPC6 was shown under simulated microgravity. Conclusions Simulated microgravity and TRPC channel inhibition both led to reduced proliferation and increased senescence. Furthermore, simulated microgravity reduced TRPC6 expression. IVD cell senescence and mechanotransduction may hence potentially be regulated by TRPC6 expression. This study thus reveals promising targets for future studies.
Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10-100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (similar to 60,000 km(2)) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999-2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.
Biofilms are heterogeneous structures made of microorganisms embedded in a self-secreted extracellular matrix. Recently, biofilms have been studied as sustainable living materials with a focus on the tuning of their mechanical properties. One way of doing so is to use metal ions. In particular biofilms have been shown to stiffen in presence of some metal cations and to soften in presence of others. However, the specificity and the determinants of those interactions vary between species. While Escherichia coli is a widely studied model organism, little is known concerning the response of its biofilms to metal ions. In this work, we aimed at tuning the mechanics of E. coli biofilms by acting on the interplay between matrix composition and metal cations. To do so, we worked with E. coli strains producing a matrix composed of curli amyloid fibres or phosphoethanolamine-cellulose (pEtN-cellulose) fibres or both. The viscoelastic behaviour of the resulting biofilms was investigated with rheology after incubation with one of the following metal ion solutions: FeCl3, AlCl3, ZnCl2 and CaCl2 or ultrapure water. We observed that the strain producing both fibres stiffen by a factor of two when exposed to the trivalent metal cations Al(III) and Fe(III) while no such response is observed for the bivalent cations Zn(II) and Ca(II). Strains producing only one matrix component did not show any stiffening in response to either cation, but even a small softening. In order to investigate further the contribution of each matrix component to the mechanical properties, we introduced additional bacterial strains producing curli fibres in combination with non-modified cellulose, non-modified cellulose only or neither component. We measured biofilms produced by those different strains with rheology and without any solution. Since rheology does not preserve the architecture of the matrix, we compared those results to the mechanical properties of biofilms probed with the non-destructive microindentation. The microindentation results showed that biofilm stiffness is mainly determined by the presence of curli amyloid fibres in the matrix. However, this clear distinction between biofilm matrices containing or not containing curli is absent from the rheology results, i.e. following partial destruction of the matrix architecture. In addition, rheology also indicated a negative impact of curli on biofilm yield stress and flow stress. This suggests that curli fibres are more brittle and therefore more affected by the mechanical treatments. Finally, to examine the molecular interactions between the biofilms and the metal cations, we used Attenuated total reflectance - Fourier transform infrared spectroscopy (ATR-FTIR) to study the three E.coli strains producing a matrix composed of curli amyloid fibres, pEtN-cellulose fibres or both. We measured biofilms produced by those strains in presence of each of the aforementioned metal cation solutions or ultrapure water. We showed that the three strains cannot be distinguished based on their FTIR spectra and that metal cations seem to have a non-specific effect on bacterial membranes in absence of pEtN-cellulose. We subsequently conducted similar experiments on purified curli or pEtN-cellulose fibres. The spectra of the pEtN-cellulose fibres revealed a non-valence-specific interaction between metal cations and the phosphate of the pEtN-modification. Altogether, these results demonstrate that the mechanical properties of E. coli biofilms can be tuned via incubation with metal ions. While the mechanism involving curli fibres remains to be determined, metal cations seem to adsorb onto pEtN-cellulose and this is not valence-specific. This work also underlines the importance of matrix architecture to biofilm mechanics and emphasises the specificity of each matrix composition.
TusA is a versatile protein that links translation efficiency to cell division in Escherichia coli
(2021)
To enable accurate and efficient translation, sulfur modifications are introduced posttranscriptionally into nucleosides in tRNAs. The biosynthesis of tRNA sulfur modifications involves unique sulfur trafficking systems for the incorporation of sulfur atoms in different nucleosides of tRNA. One of the proteins that is involved in inserting the sulfur for 5-methylaminomethyl-2-thiouridine (mnm(5)s(2)U34) modifications in tRNAs is the TusA protein. TusA, however, is a versatile protein that is also involved in numerous other cellular pathways. Despite its role as a sulfur transfer protein for the 2-thiouridine formation in tRNA, a fundamental role of TusA in the general physiology of Escherichia coli has also been discovered. Poor viability, a defect in cell division, and a filamentous cell morphology have been described previously for tusA-deficient cells. In this report, we aimed to dissect the role of TusA for cell viability. We were able to show that the lack of the thiolation status of wobble uridine (U-34) nucleotides present on Lys, Gln, or Glu in tRNAs has a major consequence on the translation efficiency of proteins; among the affected targets are the proteins RpoS and Fis. Both proteins are major regulatory factors, and the deregulation of their abundance consequently has a major effect on the cellular regulatory network, with one consequence being a defect in cell division by regulating the FtsZ ring formation. <br /> IMPORTANCE More than 100 different modifications are found in RNAs. One of these modifications is the mnm(5)s(2)U modification at the wobble position 34 of tRNAs for Lys, Gln, and Glu. The functional significance of U34 modifications is substantial since it restricts the conformational flexibility of the anticodon, thus providing translational fidelity. We show that in an Escherichia coli TusA mutant strain, involved in sulfur transfer for the mnm(5)s(2)U34 thio modifications, the translation efficiency of RpoS and Fis, two major cellular regulatory proteins, is altered. Therefore, in addition to the transcriptional regulation and the factors that influence protein stability, tRNA modifications that ensure the translational efficiency provide an additional crucial regulatory factor for protein synthesis.
Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain
(2022)
This study investigates the main drivers of uncertainties in simulated irrigated maize yield under historical conditions as well as scenarios of increased temperatures and altered irrigation water availability.
Using APSIM, MONICA, and SIMPLACE crop models, we quantified the relative contributions of three irrigation water allocation strategies, three sowing dates, and three maize cultivars to the uncertainty in simulated yields.
The water allocation strategies were derived from historical records of farmer's allocation patterns in drip-irrigation scheme of the Genil-Cabra region, Spain (2014-2017).
By considering combinations of allocation strategies, the adjusted R-2 values (showing the degree of agreement between simulated and observed yields) increased by 29% compared to unrealistic assumptions of considering only near optimal or deficit irrigation scheduling. The factor decomposition analysis based on historic climate showed that irrigation strategies was the main driver of uncertainty in simulated yields (66%).
However, under temperature increase scenarios, the contribution of crop model and cultivar choice to uncertainty in simulated yields were as important as irrigation strategy. This was partially due to different model structure in processes related to the temperature responses.
Our study calls for including information on irrigation strategies conducted by farmers to reduce the uncertainty in simulated yields at field scale.
Uncovering the interplay between nutrient availability and cellulose biosynthesis inhibitor activity
(2022)
All plant cells are surrounded by a dynamic, carbohydrate-rich extracellular matrix known as the cell wall. Nutrient availability affects cell wall composition via uncharacterized regulatory mechanisms, and cellulose deficient mutants develop a hypersensitive root response to growth on high concentrations of nitrate. Since cell walls account for the bulk of plant biomass, it is important to understand how nutrients regulate cell walls. This could provide important knowledge for directing fertilizer treatments and engineering plants with higher nutrient use efficiency. The direct effect of nitrate on cell wall synthesis was investigated through growth assays on varying concentrations of nitrate, measuring cellulose content of roots and shoots, and assessing cellulose synthase activity (CESA) using live cell imaging with spinning disk confocal microscopy. A forward genetic screen was developed to isolate mutants impaired in nutrient-mediated cell wall regulation, revealing that cellulose biosynthesis inhibitor (CBI) activity is modulated by nutrient availability. Various non-CESA mutants were isolated that displayed CBI resistance, with the majority of mutations causing perturbation of mitochondria-localized proteins. To investigate mitochondrial involvement, the CBI mechanism of action was investigated using a reverse genetic screen, a targeted pharmacological screen, and -omics approaches. The results generated suggest that CBI-induced cellulose inhibition is due to off-target effects. This provides the groundwork to investigate uncharacterized processes of CESA regulation and adds valuable knowledge to the understanding of CBI activity, which could be harnessed to develop new and improved herbicides.
The pace-of-life syndrome (POLS) hypothesis posits that life-history characteristics, among individual differences in behavior, and physiological traits have coevolved in response to environmental conditions. This hypothesis has generated much research interest because it provides testable predictions concerning the association between the slow-fast life-history continuum and behavioral and physiological traits. Although humans are among the most well-studied species and similar concepts exist in the human literature, the POLS hypothesis has not yet been directly applied to humans. Therefore, we aimed to (i) test predicted relationships between life history, physiology, and behavior in a human population and (ii) better integrate the POLS hypothesis with other similar concepts. Using data of a representative sample of German adolescents, we extracted maturation status for girls (menarche, n = 791) and boys (voice break, n = 486), and a set of health-related risk-taking behaviors and cardiovascular parameters. Maturation status and health-related risk behavior as well as maturation status and cardiovascular physiology covaried in boys and girls. Fast maturing boys and girls had higher blood pressure and expressed more risk-taking behavior than same-aged slow maturing boys and girls, supporting general predictions of the POLS hypothesis. Only some physiological and behavioral traits were positively correlated, suggesting that behavioral and physiological traits might mediate life-history trade-offs differently. Moreover, some aspects of POLS were sex-specific. Overall, the POLS hypothesis shares many similarities with other conceptual frameworks from the human literature and these concepts should be united more thoroughly to stimulate the study of POLS in humans and other animals. Significance statement The pace-of-life syndrome (POLS) hypothesis suggests that life history, behavioral and physiological traits have coevolved in response to environmental conditions. Here, we tested this link in a representative sample of German adolescents, using data from a large health survey (the KIGGs study) containing information on individual age and state of maturity for girls and boys, and a set of health-related risk-taking behaviors and cardiovascular parameters. We found that fast maturing girls and boys had overall higher blood pressure and expressed more risk-taking behavior than same-aged slow maturing girls and boys. Only some behavioral and physiological traits were positively correlated, suggesting that behavioral and physiological traits might mediate life-history trade-offs differently and not necessarily form a syndrome. Our results demonstrate a general link between life history, physiological and behavioral traits in humans, while simultaneously highlighting a more complex and rich set of relationships, since not all relationships followed predictions by the POLS hypothesis.
This is a publication-based dissertation comprising three original research stud-ies (one published, one submitted and one ready for submission; status March 2019). The dissertation introduces a generic computer model as a tool to investigate the behaviour and population dynamics of animals in cyclic environments. The model is further employed for analysing how migratory birds respond to various scenarios of altered food supply under global change. Here, ecological and evolutionary time-scales are considered, as well as the biological constraints and trade-offs the individual faces, which ultimately shape response dynamics at the population level. Further, the effect of fine-scale temporal patterns in re-source supply are studied, which is challenging to achieve experimentally. My findings predict population declines, altered behavioural timing and negative carry-over effects arising in migratory birds under global change. They thus stress the need for intensified research on how ecological mechanisms are affected by global change and for effective conservation measures for migratory birds. The open-source modelling software created for this dissertation can now be used for other taxa and related research questions. Overall, this thesis improves our mechanistic understanding of the impacts of global change on migratory birds as one prerequisite to comprehend ongoing global biodiversity loss. The research results are discussed in a broader ecological and scientific context in a concluding synthesis chapter.
The movement of organisms has formed our planet like few other processes. Movements shape populations, communities, entire ecosystems, and guarantee fundamental ecosystem functions and services, like seed dispersal and pollination. Global, regional and local anthropogenic impacts influence animal movements across ecosystems all around the world. In particular, land-use modification, like habitat loss and fragmentation disrupt movements between habitats with profound consequences, from increased disease transmissions to reduced species richness and abundance. However, neither the influence of anthropogenic change on animal movement processes nor the resulting effects on ecosystems are well understood. Therefore, we need a coherent understanding of organismal movement processes and their underlying mechanisms to predict and prevent altered animal movements and their consequences for ecosystem functions.
In this thesis I aim at understanding the influence of anthropogenically caused land-use change on animal movement processes and their underlying mechanisms. In particular, I am interested in the synergistic influence of large-scale landscape structure and fine-scale habitat features on basic-level movement behaviours (e.g. the daily amount of time spend running, foraging, and resting) and their emerging higher-level movements (home range formation). Based on my findings, I identify the likely consequences of altered animal movements that lead to the loss of species richness and abundances.
The study system of my thesis are hares in agricultural landscapes. European brown hares (Lepus europaeus) are perfectly suited to study animal movements in agricultural landscapes, as hares are hermerophiles and prefer open habitats. They have historically thrived in agricultural landscapes, but their numbers are in decline. Agricultural areas are undergoing strong land-use changes due to increasing food demand and fast developing agricultural technologies. They are already the largest land-use class, covering 38% of the world’s terrestrial surface. To consider the relevance of a given landscape structure for animal movement behaviour I selected two differently structured agricultural landscapes – a simple landscape in Northern Germany with large fields and few landscape elements (e.g. hedges and tree stands), and a complex landscape in Southern Germany with small fields and many landscape elements.
I applied GPS devices (hourly fixes) with internal high-resolution accelerometers (4 min samples) to track hares, receiving an almost continuous observation of the animals’ behaviours via acceleration analyses. I used the spatial and behavioural information in combination with remote sensing data (normalized difference vegetation index, or NDVI, a proxy for resource availability), generating an almost complete idea of what the animal was doing when, why and where. Apart from landscape structure (represented by the two differently structured study areas), I specifically tested whether the following fine-scale habitat features influence animal movements: resource, agricultural management events, habitat diversity, and habitat structure.
My results show that, irrespective of the movement process or mechanism and the type of fine-scale habitat features, landscape structure was the overarching variable influencing hare movement behaviour. High resource variability forces hares to enlarge their home ranges, but only in the simple and not in the complex landscape. Agricultural management events result in home range shifts in both landscapes, but force hares to increase their home ranges only in the simple landscape. Also the preference of habitat patches with low vegetation and the avoidance of high vegetation, was stronger in the simple landscape. High and dense crop fields restricted hare movements temporarily to very local and small habitat patch remnants. Such insuperable barriers can separate habitat patches that were previously connected by mobile links. Hence, the transport of nutrients and genetic material is temporarily disrupted. This mechanism is also working on a global scale, as human induced changes from habitat loss and fragmentation to expanding monocultures cause a reduction in animal movements worldwide.
The mechanisms behind those findings show that higher-level movements, like increasing home ranges, emerge from underlying basic-level movements, like the behavioural modes. An increasing landscape simplicity first acts on the behavioural modes, i.e. hares run and forage more, but have less time to rest. Hence, the emergence of increased home range sizes in simple landscapes is based on an increased proportion of time running and foraging, largely due to longer travelling times between distant habitats and scarce resource items in the landscape. This relationship was especially strong during the reproductive phase, demonstrating the importance of high-quality habitat for reproduction and the need to keep up self-maintenance first, in low quality areas. These changes in movement behaviour may release a cascade of processes that start with more time being allocated to running and foraging, resulting into an increased energy expenditure and may lead to a decline in individual fitness. A decrease in individual fitness and reproductive output will ultimately affect population viability leading to local extinctions.
In conclusion, I show that landscape structure has one of the most important effects on hare movement behaviour. Synergistic effects of landscape structure, and fine-scale habitat features, first affect and modify basic-level movement behaviours, that can scales up to altered higher-level movements and may even lead to the decline of species richness and abundances, and the disruption of ecosystem functions. Understanding the connection between movement mechanisms and processes can help to predict and prevent anthropogenically induced changes in movement behaviour. With regard to the paramount importance of landscape structure, I strongly recommend to decrease the size of agricultural fields and increase crop diversity. On the small-scale, conservation policies should assure the year round provision of areas with low vegetation height and high quality forage. This could be done by generating wildflower strips and additional (semi-) natural habitat patches. This will not only help to increase the populations of European brown hares and other farmland species, but also ensure and protects the continuity of mobile links and their intrinsic value for sustaining important ecosystem functions and services.
Predators can have numerical and behavioral effects on prey animals. While numerical effects are well explored, the impact of behavioral effects is unclear. Furthermore, behavioral effects are generally either analyzed with a focus on single individuals or with a focus on consequences for other trophic levels. Thereby, the impact of fear on the level of prey communities is overlooked, despite potential consequences for conservation and nature management. In order to improve our understanding of predator-prey interactions, an assessment of the consequences of fear in shaping prey community structures is crucial.
In this thesis, I evaluated how fear alters prey space use, community structure and composition, focusing on terrestrial mammals. By integrating landscapes of fear in an existing individual-based and spatially-explicit model, I simulated community assembly of prey animals via individual home range formation. The model comprises multiple hierarchical levels from individual home range behavior to patterns of prey community structure and composition. The mechanistic approach of the model allowed for the identification of underlying mechanism driving prey community responses under fear.
My results show that fear modified prey space use and community patterns. Under fear, prey animals shifted their home ranges towards safer areas of the landscape. Furthermore, fear decreased the total biomass and the diversity of the prey community and reinforced shifts in community composition towards smaller animals. These effects could be mediated by an increasing availability of refuges in the landscape. Under landscape changes, such as habitat loss and fragmentation, fear intensified negative effects on prey communities. Prey communities in risky environments were subject to a non-proportional diversity loss of up to 30% if fear was taken into account. Regarding habitat properties, I found that well-connected, large safe patches can reduce the negative consequences of habitat loss and fragmentation on prey communities. Including variation in risk perception between prey animals had consequences on prey space use. Animals with a high risk perception predominantly used safe areas of the landscape, while animals with a low risk perception preferred areas with a high food availability. On the community level, prey diversity was higher in heterogeneous landscapes of fear if individuals varied in their risk perception compared to scenarios in which all individuals had the same risk perception.
Overall, my findings give a first, comprehensive assessment of the role of fear in shaping prey communities. The linkage between individual home range behavior and patterns at the community level allows for a mechanistic understanding of the underlying processes. My results underline the importance of the structure of the landscape of fear as a key driver of prey community responses, especially if the habitat is threatened by landscape changes. Furthermore, I show that individual landscapes of fear can improve our understanding of the consequences of trait variation on community structures. Regarding conservation and nature management, my results support calls for modern conservation approaches that go beyond single species and address the protection of biotic interactions.
Poaching is driving many species toward extinction, and as a result, lowering poaching pressure is a conservation priority. This requires understanding where poaching pressure is high and which factors determine these spatial patterns. However, the cryptic and illegal nature of poaching makes this difficult.
Ranger patrol data, typically recorded in protected area logbooks, contain information on patrolling efforts and poaching detection and should thus provide opportunities for a better understanding of poaching pressure. However, these data are seldom analyzed and rarely used to inform adaptive management strategies.
We developed a novel approach to making use of analog logbook records to map poaching pressure and to test environmental criminology and predator-prey relationship hypotheses explaining poaching patterns. We showcase this approach for Golestan National Park in Iran, where poaching has substantially depleted ungulate populations. We digitized data from >4800 ranger patrols from 2014 to 2016 and used an occupancy modeling framework to relate poaching to (1) accessibility, (2) law enforcement, and (3) prey availability factors. Based on predicted poaching pressure and patrolling intensity, we provide suggestions for future patrol allocation strategies. Our results revealed a low probability (12%) of poacher detection during patrols. Poaching distribution was best explained by prey availability, indicating that poachers target areas with high concentrations of ungulates. Poaching pressure was estimated to be high (>0.49) in 39% of our study area. To alleviate poaching pressure, we recommend ramping up patrolling intensity in 12% of the national park, which could be achievable by reducing excess patrols in about 20% of the park.
However, our results suggest that for 27% of the park, it is necessary to improve patrolling quality to increase detection probability of poaching, for example, by closing temporal patrolling gaps or expanding informant networks. Our approach illustrates that analog ranger logbooks are an untapped resource for evidence-based and adaptive planning of protected area management. Using this wealth of data can open up new avenues to better understand poaching and its determinants, to expand effectiveness assessments to the past, and, more generally, to allow for strategic conservation planning in protected areas.
Intuitively, strongly constraining contexts should lead to stronger probabilistic representations of sentences in memory. Encountering unexpected words could therefore be expected to trigger costlier shifts in these representations than expected words. However, psycholinguistic measures commonly used to study probabilistic processing, such as the N400 event-related potential (ERP) component, are sensitive to word predictability but not to contextual constraint. Some research suggests that constraint-related processing cost may be measurable via an ERP positivity following the N400, known as the anterior post-N400 positivity (PNP). The PNP is argued to reflect update of a sentence representation and to be distinct from the posterior P600, which reflects conflict detection and reanalysis. However, constraint-related PNP findings are inconsistent. We sought to conceptually replicate Federmeier et al. (2007) and Kuperberg et al. (2020), who observed that the PNP, but not the N400 or the P600, was affected by constraint at unexpected but plausible words. Using a pre-registered design and statistical approach maximising power, we demonstrated a dissociated effect of predictability and constraint: strong evidence for predictability but not constraint in the N400 window, and strong evidence for constraint but not predictability in the later window. However, the constraint effect was consistent with a P600 and not a PNP, suggesting increased conflict between a strong representation and unexpected input rather than greater update of the representation. We conclude that either a simple strong/weak constraint design is not always sufficient to elicit the PNP, or that previous PNP constraint findings could be an artifact of smaller sample size.
Plants are unable to move away from unwanted environments and therefore have to locally adapt to changing conditions. Arabidopsis thaliana (Arabidopsis), a model organism in plant biology, has been able to rapidly colonize a wide spectrum of environments with different biotic and abiotic challenges. In recent years, natural variation in Arabidopsis has shown to be an excellent resource to study genes underlying adaptive traits and hybridization’s impact on natural diversity. Studies on Arabidopsis hybrids have provided information on the genetic basis of hybrid incompatibilities and heterosis, as well as inheritance patterns in hybrids. However, previous studies have focused mainly on global accessions and yet much remains to be known about variation happening within a local growth habitat. In my PhD, I investigated the impact of heterozygosity at a local collection site of Arabidopsis and its role in local adaptation. I focused on two different projects, both including hybrids among Arabidopsis individuals collected around Tübingen in Southern Germany. The first project sought to understand the impact of hybridization on metabolism and growth within a local Arabidopsis collection site. For this, the inheritance patterns in primary and secondary metabolism, together with rosette size of full diallel crosses among seven parents originating from Southern Germany were analyzed. In comparison to primary metabolites, compounds from secondary metabolism were more variable and showed pronounced non-additive inheritance patterns. In addition, defense metabolites, mainly glucosinolates, displayed the highest degree of variation from the midparent values and were positively correlated with a proxy for plant size.
In the second project, the role of ACCELERATED CELL DEATH 6 (ACD6) in the defense response pathway of Arabidopsis necrotic hybrids was further characterized. Allelic interactions of ACD6 have been previously linked to hybrid necrosis, both among global and local Arabidopsis accessions. Hence, I characterized the early metabolic and ionic changes induced by ACD6, together with marker gene expression assays of physiological responses linked to its activation. An upregulation of simple sugars and metabolites linked to non-enzymatic antioxidants and the TCA cycle were detected, together with putrescine and acids linked to abiotic stress responses. Senescence was found to be induced earlier in necrotic hybrids and cytoplasmic calcium signaling was unaffected in response to temperature. In parallel, GFP-tagged constructs of ACD6 were developed.
This work therefore gave novel insights on the role of heterozygosity in natural variation and adaptation and expanded our current knowledge on the physiological and molecular responses associated with ACD6 activation.
Analyzing mixture toxicity requires an in-depth understanding of the mechanisms of action of its individual components. Substances with the same target organ, same toxic effect and same mode of action (MoA) are believed to cause additive effects, whereas substances with different MoAs are assumed to act independently. Here, we tested 2 triazole fungicides, propiconazole, and tebuconazole (Te), for individual and combined effects on liver toxicity-related endpoints. Both triazoles are proposed to belong to the same cumulative assessment group and are therefore thought to display similar and additive behavior. Our data show that Te is an antagonist of the constitutive androstane receptor (CAR) in rats and humans, while propiconazole is an agonist of this receptor. Both substances activate the pregnane X-receptor (PXR) and further induce mRNA expression of CYP3A4. CYP3A4 enzyme activity, however, is inhibited by propiconazole. For common targets of PXR and CAR, the activation of PXR by Te overrides CAR inhibition. In summary, propiconazole and Te affect different hepatotoxicity-relevant cellular targets and, depending on the individual endpoint analyzed, act via similar or dissimilar mechanisms. The use of molecular data based on research in human cell systems extends the picture to refine cumulative assessment group grouping and substantially contributes to the understanding of mixture effects of chemicals in biological systems.
The cyanobacterial genus Microcystis is known to produce an elaborate array of structurally unique and biologically active natural products, including hazardous cyanotoxins. Cytotoxic aeruginoguanidines represent a yet unexplored family of peptides featuring a trisubstituted benzene unit and farnesylated arginine derivatives. In this study, we aimed at assigning these compounds to a biosynthetic gene cluster by utilizing biosynthetic attributes deduced from public genomes of Microcystis and the sporadic distribution of the metabolite in axenic strains of the Pasteur Culture Collection of Cyanobacteria. By integrating genome mining with untargeted metabolomics using liquid chromatography with mass spectrometry, we linked aeruginoguanidine (AGD) to a nonribosomal peptide synthetase gene cluster and coassigned a significantly smaller product to this pathway, microguanidine (MGD), previously only reported from two Microcystis blooms. Further, a new intermediate class of compounds named microguanidine amides was uncovered, thereby further enlarging this compound family. The comparison of structurally divergent AGDs and MGDs reveals an outstanding versatility of this biosynthetic pathway and provides insights into the assembly of the two compound subfamilies. Strikingly, aeruginoguanidines and microguanidines were found to be as widespread as the hepatotoxic microcystins, but the occurrence of both toxin families appeared to be mutually exclusive.
Filamentous cyanobacteria belong to the most prolific producers of structurally unique and biologically active natural products, yet the majority of biosynthetic gene clusters predicted for these multicellular collectives are currently orphan. Here, we present a systems analysis of secondary metabolite gene expression in the model strain Nostoc punctiforme PCC73102 using RNA-seq and fluorescence reporter analysis. Our data demonstrate that the majority of the cryptic gene clusters are not silent but are expressed with regular or sporadic pattern. Cultivation of N. punctiforme using high-density fermentation overrules the spatial control and leads to a pronounced upregulation of more than 50% of biosynthetic gene clusters. Our data suggest that a combination of autocrine factors, a high CO2 level, and high light account for the upregulation of individual pathways. Our overarching study not only sheds light on the strategies of filamentous cyanobacteria to share the enormous metabolic burden connected with the production of specialized molecules but provides an avenue for the genome-based discovery of natural products in multicellular cyanobacteria as exemplified by the discovery of highly unusual variants of the tricyclic peptide microviridin.
The sequencing of the human genome in the early 2000s led to an increased interest in cheap and fast sequencing technologies. This interest culminated in the advent of next generation sequencing (NGS). A number of different NGS platforms have arisen since then all promising to do the same thing, i.e. produce large amounts of genetic information for relatively low costs compared to more traditional methods such as Sanger sequencing. The capabilities of NGS meant that researchers were no longer bound to species for which a lot of previous work had already been done (e.g. model organisms and humans) enabling a shift in research towards more novel and diverse species of interest. This capability has greatly benefitted many fields within the biological sciences, one of which being the field of evolutionary biology. Researchers have begun to move away from the study of laboratory model organisms to wild, natural populations and species which has greatly expanded our knowledge of evolution. NGS boasts a number of benefits over more traditional sequencing approaches. The main benefit comes from the capability to generate information for drastically more loci for a fraction of the cost. This is hugely beneficial to the study of wild animals as, even when large numbers of individuals are unobtainable, the amount of data produced still allows for accurate, reliable population and species level results from a small selection of individuals.
The use of NGS to study species for which little to no previous research has been carried out on and the production of novel evolutionary information and reference datasets for the greater scientific community were the focuses of this thesis. Two studies in this thesis focused on producing novel mitochondrial genomes from shotgun sequencing data through iterative mapping, bypassing the need for a close relative to serve as a reference sequence. These mitochondrial genomes were then used to infer species level relationships through phylogenetic analyses. The first of these studies involved reconstructing a complete mitochondrial genome of the bat eared fox (Otocyon megalotis). Phylogenetic analyses of the mitochondrial genome confidently placed the bat eared fox as sister to the clade consisting of the raccoon dog and true foxes within the canidae family. The next study also involved reconstructing a mitochondrial genome but in this case from the extinct Macrauchenia of South America. As this study utilised ancient DNA, it involved a lot of parameter testing, quality controls and strict thresholds to obtain a near complete mitochondrial genome devoid of contamination known to plague ancient DNA studies. Phylogenetic analyses confidently placed Macrauchenia as sister to all living representatives of Perissodactyla with a divergence time of ~66 million years ago. The third and final study of this thesis involved de novo assemblies of both nuclear and mitochondrial genomes from brown and striped hyena and focussed on demographic, genetic diversity and population genomic analyses within the brown hyena. Previous studies of the brown hyena hinted at very low levels of genomic diversity and, perhaps due to this, were unable to find any notable population structure across its range. By incorporating a large number of genetic loci, in the form of complete nuclear genomes, population structure within the brown hyena was uncovered. On top of this, genomic diversity levels were compared to a number of other species. Results showed the brown hyena to have the lowest genomic diversity out of all species included in the study which was perhaps caused by a continuous and ongoing decline in effective population size that started about one million years ago and dramatically accelerated towards the end of the Pleistocene.
The studies within this thesis show the power NGS sequencing has and its utility within evolutionary biology. The most notable capabilities outlined in this thesis involve the study of species for which no reference data is available and in the production of large amounts of data, providing evolutionary answers at the species and population level that data produced using more traditional techniques simply could not.
Background: Inferring regulatory interactions between genes from transcriptomics time-resolved data, yielding reverse engineered gene regulatory networks, is of paramount importance to systems biology and bioinformatics studies. Accurate methods to address this problem can ultimately provide a deeper insight into the complexity, behavior, and functions of the underlying biological systems. However, the large number of interacting genes coupled with short and often noisy time-resolved read-outs of the system renders the reverse engineering a challenging task. Therefore, the development and assessment of methods which are computationally efficient, robust against noise, applicable to short time series data, and preferably capable of reconstructing the directionality of the regulatory interactions remains a pressing research problem with valuable applications.
Results: Here we perform the largest systematic analysis of a set of similarity measures and scoring schemes within the scope of the relevance network approach which are commonly used for gene regulatory network reconstruction from time series data. In addition, we define and analyze several novel measures and schemes which are particularly suitable for short transcriptomics time series. We also compare the considered 21 measures and 6 scoring schemes according to their ability to correctly reconstruct such networks from short time series data by calculating summary statistics based on the corresponding specificity and sensitivity. Our results demonstrate that rank and symbol based measures have the highest performance in inferring regulatory interactions. In addition, the proposed scoring scheme by asymmetric weighting has shown to be valuable in reducing the number of false positive interactions. On the other hand, Granger causality as well as information-theoretic measures, frequently used in inference of regulatory networks, show low performance on the short time series analyzed in this study.
Conclusions: Our study is intended to serve as a guide for choosing a particular combination of similarity measures and scoring schemes suitable for reconstruction of gene regulatory networks from short time series data. We show that further improvement of algorithms for reverse engineering can be obtained if one considers measures that are rooted in the study of symbolic dynamics or ranks, in contrast to the application of common similarity measures which do not consider the temporal character of the employed data. Moreover, we establish that the asymmetric weighting scoring scheme together with symbol based measures (for low noise level) and rank based measures (for high noise level) are the most suitable choices.
Maize is the cereal crop with the highest production worldwide, and its oil is a key energy resource. Improving the quantity and quality of maize oil requires a better understanding of lipid metabolism. To predict the function of maize genes involved in lipid biosynthesis, we assembled transcriptomic and lipidomic data sets from leaves of B73 and the high-oil line By804 in two distinct time-series experiments. The integrative analysis based on high-dimensional regularized regression yielded lipid-transcript associations indirectly validated by Gene Ontology and promoter motif enrichment analyses. The co-localization of lipid-transcript associations using the genetic mapping of lipid traits in leaves and seedlings of a B73 x By804 recombinant inbred line population uncovered 323 genes involved in the metabolism of phospholipids, galactolipids, sulfolipids and glycerolipids. The resulting association network further supported the involvement of 50 gene candidates in modulating levels of representatives from multiple acyl-lipid classes. Therefore, the proposed approach provides high-confidence candidates for experimental testing in maize and model plant species.
Polyhydroxyalkanoates (PHAs) have attracted attention as degradable (co)polyesters which can be produced by microorganisms with variations in the side chain. This structural variation influences not only the thermomechanical properties of the material but also its degradation behavior. Here, we used Langmuir monolayers at the air-water (A-W) interface as suitable models for evaluating the abiotic degradation of two PHAs with different side-chain lengths and crystallinity. By controlling the polymer state (semi crystalline, amorphous), the packing density, the pH, and the degradation mechanism, we could draw several significant conclusions. (i) The maximum degree of crystallinity for a PHA film to be efficiently degraded up to pH = 12.3 is 40%. (ii) PHA made of repeating units with shorter side-chain length are more easily hydrolyzed under alkaline conditions. The efficiency of alkaline hydrolysis decreased by about 65% when the polymer was 40% crystalline. (iii) In PHA films with a relatively high initial crystallinity, abiotic degradation initiated a chemicrystallization phenomenon, detected as an increase in the storage modulus (E'). This could translate into an increase in brittleness and reduction in the material degradability. Finally, we demonstrate the stability of the measurement system for long-term experiments, which allows degradation conditions for polymers that could closely simulate real-time degradation.
Leaf senescence is an active process required for plant survival, and it is flexibly controlled, allowing plant adaptation to environmental conditions. Although senescence is largely an age-dependent process, it can be triggered by environmental signals and stresses. Leaf senescence coordinates the breakdown and turnover of many cellular components, allowing a massive remobilization and recycling of nutrients from senescing tissues to other organs (e.g., young leaves, roots, and seeds), thus enhancing the fitness of the plant. Such metabolic coordination requires a tight regulation of gene expression. One important mechanism for the regulation of gene expression is at the transcriptional level via transcription factors (TFs). The NAC TF family (NAM, ATAF, CUC) includes various members that show elevated expression during senescence, including ORE1 (ANAC092/AtNAC2) among others. ORE1 was first reported in a screen for mutants with delayed senescence (oresara1, 2, 3, and 11). It was named after the Korean word “oresara,” meaning “long-living,” and abbreviated to ORE1, 2, 3, and 11, respectively. Although the pivotal role of ORE1 in controlling leaf senescence has recently been demonstrated, the underlying molecular mechanisms and the pathways it regulates are still poorly understood. To unravel the signaling cascade through which ORE1 exerts its function, we analyzed particular features of regulatory pathways up-stream and down-stream of ORE1. We identified characteristic spatial and temporal expression patterns of ORE1 that are conserved in Arabidopsis thaliana and Nicotiana tabacum and that link ORE1 expression to senescence as well as to salt stress. We proved that ORE1 positively regulates natural and dark-induced senescence. Molecular characterization of the ORE1 promoter in silico and experimentally suggested a role of the 5’UTR in mediating ORE1 expression. ORE1 is a putative substrate of a calcium-dependent protein kinase named CKOR (unpublished data). Promising data revealed a positive regulation of putative ORE1 targets by CKOR, suggesting the phosphorylation of ORE1 as a requirement for its regulation. Additionally, as part of the ORE1 up-stream regulatory pathway, we identified the NAC TF ATAF1 which was able to transactivate the ORE1 promoter in vivo. Expression studies using chemically inducible ORE1 overexpression lines and transactivation assays employing leaf mesophyll cell protoplasts provided information on target genes whose expression was rapidly induced upon ORE1 induction. First, a set of target genes was established and referred to as early responding in the ORE1 regulatory network. The consensus binding site (BS) of ORE1 was characterized. Analysis of some putative targets revealed the presence of ORE1 BSs in their promoters and the in vitro and in vivo binding of ORE1 to their promoters. Among these putative target genes, BIFUNCTIONAL NUCLEASE I (BFN1) and VND-Interacting2 (VNI2) were further characterized. The expression of BFN1 was found to be dependent on the presence of ORE1. Our results provide convincing data which support a role for BFN1 as a direct target of ORE1. Characterization of VNI2 in age-dependent and stress-induced senescence revealed ORE1 as a key up-stream regulator since it can bind and activate VNI2 expression in vivo and in vitro. Furthermore, VNI2 was able to promote or delay senescence depending on the presence of an activation domain located in its C-terminal region. The plasticity of this gene might include alternative splicing (AS) to regulate its function in different organs and at different developmental stages, particularly during senescence. A model is proposed on the molecular mechanism governing the dual role of VNI2 during senescence.
The Annamites mountain range of Southeast Asia which runs along the border of Viet Nam and Laos is an important biodiversity hotspot with high levels of endemism. However, that biodiversity is threatened by unsustainable hunting, and many protected areas across the region have been emptied of their wildlife. To better protect the unique species in the Annamites, it is crucial to have a better understanding of their ecology and distribution. Additionally, basic genetic information is needed to provide conservation stakeholders with essential information to facilitate conservation breeding and counteract the illegal wildlife trade. To date, this baseline information is lacking for many Annamites species.
This thesis aims to assess the effectiveness of using non-invasive collection methods, i.e. camera-trap surveys and leech-derived wildlife host DNA, in order to improve and enhance our understanding of ecology, distribution, and genetic diversity of the Annamites terrestrial mammals.
In chapter 1, we analysed data from a systematic landscape camera-trap survey using single-species occupancy models to assess the ecology and distribution of two little-known Annamite endemics, the Annamite dark muntjac (Muntiacus rooseveltorum / truongsonensis) and Annamite striped rabbit (Nesolagus timminsi), in multiple protected areas across the Annamites. This chapter provided the first in-depth information on their ecology, as well as distribution patterns at large spatial scales. Most notably, we found that the Annamite dark muntjac was predominantly found at higher elevations, while responses to elevation varied among study areas for the Annamite striped rabbit. We estimated occupancy probabilities for both endemics by using their responses to environmental and anthropogenic influences and used this information to make recommendations for targeted conservation actions. We discuss how the approach we used for these two Annamites endemics can be expanded for other little-known and threatened species in other tropical regions.
As is the case with ecology and distribution, very little is known about the genetic diversity of the Annamite striped rabbit and other mammals of the Annamites. This poor understanding is mainly attributed to the lack of a comprehensive DNA sample collection that covers the species’ entire distribution range, which is believed to be a consequence of the low density of mammals or the remoteness of species’ habitat. In order to overcome the difficulties when trying to collect DNA samples from elusive mammals, we applied invertebrate-derived DNA (iDNA) sampling via hematophagous leeches to indirectly obtain genetic materials of their terrestrial host mammals.
In chapter 2, leech-derived DNA was used to study the genetic diversity of the Annamite striped rabbit population. By analysing the DNA extracted from leech samples collected at multiple study areas of the central Annamites, we found a genetic variation with five haplotypes among nine obtained sequences. Despite this diversity, we found no clear phylogeographic pattern among the lagomorph’s populations in central Annamites. The findings have direct conservation implications for the species, as local stakeholders are currently establishing a conservation rescue and breeding facility for Annamite endemic species. Thus our results suggested that Annamite striped rabbits from multiple protected areas in central Annamites can be used as founders for the breeding program.
In chapter 3, the genetic material of six mammals, which are frequently found in Indochina's illegal wildlife trade, was extracted from leeches collected at six study sites across the Anamites. Species-specific genetic markers were used to obtain DNA fragments that were analysed together with Genbank reference sequences from other parts of the species’ distribution range. Our results showed that invertebrate-derived DNA can be used to fill the sampling gaps and provide genetic reference data that is needed for conservation breeding programmes or to counteract the illegal wildlife trade.
Overal, this dissertation provides the first insights in the ecology, distribution, and genetics of rare and threatened species of the Annamites by utilising camera traps and leech-derived DNA as two non-invasive collection methods. This information is essential for improving conservation efforts of local stakeholders and managers, especially for the Annamite endemics. Results in this dissertation also show the effectiveness of both non-invasive methods for studying terrestrial mammals at a landscape level. By expanding the application of these methods to other protected areas across the Annamites, we will further our understanding of ecology, distribution, and genetics of Annamite endemics. With such landscape-scale surveys, we are able to provide stakeholders with an overview of the current status of wildlife in the Annamites which supports efforts to protect these secretive species from illegal hunting and thus their extinction.
Even though the structure of the plant cell wall is by and large quite well characterized, its synthesis and regulation remains largely obscure. However, it is accepted that the building blocks of the polysaccharidic part of the plant cell wall are nucleotide sugars. Thus to gain more insight into the cell wall biosynthesis, in the first part of this thesis, plant genes possibly involved in the nucleotide sugar interconversion pathway were identified using a bioinformatics approach and characterized in plants, mainly in Arabidopsis. For the computational identification profile hidden markov models were extracted from the Pfam and TIGR databases. Mainly with these, plant genes were identified facilitating the “hmmer” program. Several gene families were identified and three were further characterized, the UDP-rhamnose synthase (RHM), UDP-glucuronic acid epimerase (GAE) and the myo-inositol oxygenase (MIOX) families. For the three-membered RHM family relative ubiquitous expression was shown using variuos methods. For one of these genes, RHM2, T-DNA lines could be obtained. Moreover, the transcription of the whole family was downregulated facilitating an RNAi approach. In both cases a alteration of cell wall typic polysaccharides and developmental changes could be shown. In the case of the rhm2 mutant these were restricted to the seed or the seed mucilage, whereas the RNAi plants showed profound changes in the whole plant. In the case of the six-membered GAE family, the gene expressed to the highest level (GAE6) was cloned, expressed heterologously and its function was characterized. Thus, it could be shown that GAE6 encodes for an enzyme responsible for the conversion of UDP-glucuronic acid to UDP-galacturonic acid. However, a change in transcript level of variuos GAE family members achieved by T-DNA insertions (gae2, gae5, gae6), overexpression (GAE6) or an RNAi approach, targeting the whole family, did not reveal any robust changes in the cell wall. Contrary to the other two families the MIOX gene family had to be identified using a BLAST based approach due to the lack of enough suitable candidate genes for building a hidden markov model. An initial bioinformatic characterization was performed which will lead to further insights into this pathway. In total it was possible to identify the two gene families which are involved in the synthesis of the two pectin backbone sugars galacturonic acid and rhamnose. Moreover with the identification of the MIOX genes a genefamily, important for the supply of nucleotide sugar precursors was identified. In a second part of this thesis publicly available microarray datasets were analyzed with respect to co-responsive behavior of transcripts on a global basis using nearly 10,000 genes. The data has been made available to the community in form of a database providing additional statistical and visualization tools (http://csbdb.mpimp-golm.mpg.de). Using the framework of the database to identify nucleotide sugar converting genes indicated that co-response might be used for identification of novel genes involved in cell wall synthesis based on already known genes.
Water is essential to life and thus, an essential resource. However, freshwater resources are limited and their maintenance is crucial. Pollution with chemicals and pathogens through urbanization and a growing population impair the quality of freshwater. Furthermore, water can serve as vector for the transmission of pathogens resulting in water-borne illness.
The Interdisciplinary Research Group III – "Water" of the Leibniz alliance project INFECTIONS‘21 investigated water as a hub for pathogens focusing on Clostridioides difficile and avian influenza A viruses that may be shed into the water. Another aim of this study was to characterize the bacterial communities in a wastewater treatment plant (WWTP) of the capital Berlin, Germany to further assess potential health risks associated with wastewater management practices.
Bacterial communities of WWTP inflow and effluent differed significantly. The proportion of fecal/enteric bacteria was relatively low and OTUs related to potential enteric pathogens were largely removed from inflow to effluent. However, a health risk might exist as an increased relative abundance of potential pathogenic Legionella spp. such as L. lytica was observed. Three Clostridioides difficile isolates from wastewater inflow and an urban bathing lake in Berlin (‗Weisser See‘) were obtained and sequenced. The two isolates from the wastewater did not carry toxin genes, whereas the isolate from the lake was positive for the toxin genes. All three isolates were closely related to human strains. This indicates a potential, but rather sporadic health risk. Avian influenza A viruses were detected in 38.8% of sediment samples by PCR, but virus isolation failed. An experiment with inoculated freshwater and sediment samples showed that virus isolation from sediment requires relatively high virus concentrations and worked much better in Madin-Darby Canine Kidney (MDCK) cell cultures than in embryonated chicken eggs, but low titre of influenza contamination in freshwater samples was sufficient to recover virus.
In conclusion, this work revealed potential health risks coming from bacterial groups with pathogenic potential such as Legionella spp. whose relative abundance is higher in the released effluent than in the inflow of the investigated WWTP. It further indicates that water bodies such as wastewater and lake sediments can serve as reservoir and vector, even for non-typical water-borne or water-transmitted pathogens such as C. difficile.
Urbanization promotes specific bacteria in freshwater microbiomes including potential pathogens
(2022)
Freshwater ecosystems are characterized by complex and highly dynamic microbial communities that are strongly structured by their local environment and biota. Accelerating urbanization and growing city populations detrimentally alter freshwater environments. To determine differences in freshwater microbial communities associated with urban-ization, full-length 16S rRNA gene PacBio sequencing was performed in a case study from surface waters and sedi-ments from a wastewater treatment plant, urban and rural lakes in the Berlin-Brandenburg region, Northeast Germany. Water samples exhibited highly habitat specific bacterial communities with multiple genera showing clear urban signatures. We identified potentially harmful bacterial groups associated with environmental parameters specific to urban habitats such as Alistipes, Escherichia/Shigella, Rickettsia and Streptococcus. We demonstrate that urban-ization alters natural microbial communities in lakes and, via simultaneous warming and eutrophication and creates favourable conditions that promote specific bacterial genera including potential pathogens. Our findings are evidence to suggest an increased potential for long-term health risk in urbanized waterbodies, at a time of rapidly expanding global urbanization. The results highlight the urgency for undertaking mitigation measures such as targeted lake restoration projects and sustainable water management efforts.
Using ESTs for phylogenomics
(2008)
Background
While full genome sequences are still only available for a handful of taxa, large collections of partial gene sequences are available for many more. The alignment of partial gene sequences results in a multiple sequence alignment containing large gaps that are arranged in a staggered pattern. The consequences of this pattern of missing data on the accuracy of phylogenetic analysis are not well understood. We conducted a simulation study to determine the accuracy of phylogenetic trees obtained from gappy alignments using three commonly used phylogenetic reconstruction methods (Neighbor Joining, Maximum Parsimony, and Maximum Likelihood) and studied ways to improve the accuracy of trees obtained from such datasets.
Results
We found that the pattern of gappiness in multiple sequence alignments derived from partial gene sequences substantially compromised phylogenetic accuracy even in the absence of alignment error. The decline in accuracy was beyond what would be expected based on the amount of missing data. The decline was particularly dramatic for Neighbor Joining and Maximum Parsimony, where the majority of gappy alignments contained 25% to 40% incorrect quartets. To improve the accuracy of the trees obtained from a gappy multiple sequence alignment, we examined two approaches. In the first approach, alignment masking, potentially problematic columns and input sequences are excluded from from the dataset. Even in the absence of alignment error, masking improved phylogenetic accuracy up to 100-fold. However, masking retained, on average, only 83% of the input sequences. In the second approach, alignment subdivision, the missing data is statistically modelled in order to retain as many sequences as possible in the phylogenetic analysis. Subdivision resulted in more modest improvements to alignment accuracy, but succeeded in including almost all of the input sequences.
Conclusion
These results demonstrate that partial gene sequences and gappy multiple sequence alignments can pose a major problem for phylogenetic analysis. The concern will be greatest for high-throughput phylogenomic analyses, in which Neighbor Joining is often the preferred method due to its computational efficiency. Both approaches can be used to increase the accuracy of phylogenetic inference from a gappy alignment. The choice between the two approaches will depend upon how robust the application is to the loss of sequences from the input set, with alignment masking generally giving a much greater improvement in accuracy but at the cost of discarding a larger number of the input sequences.
Using individual-based modeling to understand grassland diversity and resilience in the Anthropocene
(2020)
The world’s grassland systems are increasingly threatened by anthropogenic change. Susceptible to a variety of different stressors, from land-use intensification to climate change, understanding the mechanisms driving the maintenance of these systems’ biodiversity and stability, and how these mechanisms may shift under human-mediated disturbance, is thus critical for successfully navigating the next century. Within this dissertation, I use an individual-based and spatially-explicit model of grassland community assembly (IBC-grass) to examine several processes, thought key to understanding their biodiversity and stability and how it changes under stress. In the first chapter of my thesis, I examine the conditions under which intraspecific trait variation influences the diversity of simulated grassland communities. In the second and third chapters of my thesis, I shift focus towards understanding how belowground herbivores influence the stability of these grassland systems to either a disturbance that results in increased, stochastic, plant mortality, or eutrophication.
Intraspecific trait variation (ITV), or variation in trait values between individuals of the same species, is fundamental to the structure of ecological communities. However, because it has historically been difficult to incorporate into theoretical and statistical models, it has remained largely overlooked in community-level analyses. This reality is quickly shifting, however, as a consensus of research suggests that it may compose a sizeable proportion of the total variation within an ecological community and that it may play a critical role in determining if species coexist. Despite this increasing awareness that ITV matters, there is little consensus of the magnitude and direction of its influence. Therefore, to better understand how ITV changes the assembly of grassland communities, in the first chapter of my thesis, I incorporate it into an established, individual-based grassland community model, simulating both pairwise invasion experiments as well as the assembly of communities with varying initial diversities. By varying the amount of ITV in these species’ functional traits, I examine the magnitude and direction of ITV’s influence on pairwise invasibility and community coexistence. During pairwise invasion, ITV enables the weakest species to more frequently invade the competitively superior species, however, this influence does not generally scale to the community level. Indeed, unless the community has low alpha- and beta- diversity, there will be little effect of ITV in bolstering diversity. In these situations, since the trait axis is sparsely filled, the competitively inferior may suffer less competition and therefore ITV may buffer the persistence and abundance of these species for some time.
In the second and third chapters of my thesis, I model how one of the most ubiquitous trophic interactions within grasslands, herbivory belowground, influences their diversity and stability. Until recently, the fundamental difficulty in studying a process within the soil has left belowground herbivory “out of sight, out of mind.” This dilemma presents an opportunity for simulation models to explore how this understudied process may alter community dynamics. In the second chapter of my thesis, I implement belowground herbivory – represented by the weekly removal of plant biomass – into IBC-grass. Then, by introducing a pulse disturbance, modelled as the stochastic mortality of some percentage of the plant community, I observe how the presence of belowground herbivores influences the resistance and recovery of Shannon diversity in these communities. I find that high resource, low diversity, communities are significantly more destabilized by the presence of belowground herbivores after disturbance. Depending on the timing of the disturbance and whether the grassland’s seed bank persists for more than one season, the impact of the disturbance – and subsequently the influence of the herbivores – can be greatly reduced. However, because human-mediated eutrophication increases the amount of resources in the soil, thus pressuring grassland systems, our results suggest that the influence of these herbivores may become more important over time.
In the third chapter of my thesis, I delve further into understanding the mechanistic underpinnings of belowground herbivores on the diversity of grasslands by replicating an empirical mesocosm experiment that crosses the presence of herbivores above- and below-ground with eutrophication. I show that while aboveground herbivory, as predicted by theory and frequently observed in experiments, mitigates the impact of eutrophication on species diversity, belowground herbivores counterintuitively reduce biodiversity. Indeed, this influence positively interacts with the eutrophication process, amplifying its negative impact on diversity. I discovered the mechanism underlying this surprising pattern to be that, as the herbivores consume roots, they increase the proportion of root resources to root biomass. Because root competition is often symmetric, herbivory fails to mitigate any asymmetries in the plants’ competitive dynamics. However, since the remaining roots have more abundant access to resources, the plants’ competition shifts aboveground, towards asymmetric competition for light. This leads the community towards a low-diversity state, composed of mostly high-performance, large plant species. We further argue that this pattern will emerge unless the plants’ root competition is asymmetric, in which case, like its counterpart aboveground, belowground herbivory may buffer diversity by reducing this asymmetry between the competitively superior and inferior plants.
I conclude my dissertation by discussing the implications of my research on the state of the art in intraspecific trait variation and belowground herbivory, with emphasis on the necessity of more diverse theory development in the study of these fundamental interactions. My results suggest that the influence of these processes on the biodiversity and stability of grassland systems is underappreciated and multidimensional, and must be thoroughly explored if researchers wish to predict how the world’s grasslands will respond to anthropogenic change. Further, should researchers myopically focus on understanding central ecological interactions through only mathematically tractable analyses, they may miss entire suites of potential coexistence mechanisms that can increase the coviability of species, potentially leading to coexistence over ecologically-significant timespans. Individual-based modelling, therefore, with its focus on individual interactions, will prove a critical tool in the coming decades for understanding how local interactions scale to larger contexts, and how these interactions shape ecological communities and further predicting how these systems will change under human-mediated stress.
The activity of vacuolar H+-ATPase (V-ATPase) in the apical membrane of blowfly (Calliphora vicina) salivary glands is regulated by the neurohormone serotonin (5-HT). 5-HT induces, via protein kinase A, the phosphorylation of V-ATPase subunit C and the assembly of V-ATPase holoenzymes. The protein phosphatase responsible for the dephosphorylation of subunit C and V-ATPase inactivation is not as yet known. We show here that inhibitors of protein phosphatases PP1 and PP2A (tautomycin, ocadaic acid) and PP2B (cyclosporin A, FK-506) do not prevent V-ATPase deactivation and dephosphorylation of subunit C. A decrease in the intracellular Mg2+ level caused by loading secretory cells with EDTA-AM leads to the activation of proton pumping in the absence of 5-HT, prolongs the 5-HT-induced response in proton pumping, and inhibits the dephosphorylation of subunit C. Thus, the deactivation of V-ATPase is most probably mediated by a protein phosphatase that is insensitive to okadaic acid and that requires Mg2+, namely, a member of the PP2C protein family. By molecular biological techniques, we demonstrate the expression of at least two PP2C protein family members in blowfly salivary glands. © 2009 Wiley Periodicals, Inc.
Vacuole integrity maintained by DUF300 proteins is required for brassinosteroid signaling regulation
(2018)
Brassinosteroid (BR) hormone signaling controls multiple processes during plant growth and development and is initiated at the plasma membrane through the receptor kinase BRASSINOSTEROID INSENSITIVE1 (BRI1) together with co-receptors such as BRI1-ASSOCIATED RECEPTOR KINASE1 (BAK1). BRI1 abundance is regulated by endosomal recycling and vacuolar targeting, but the role of vacuole-related proteins in BR receptor dynamics and BR responses remains elusive. Here, we show that the absence of two DUF300 domain-containing tonoplast proteins, LAZARUS1 (LAZ1) and LAZ1 HOMOLOG1 (LAZ1H1), causes vacuole morphology defects, growth inhibition, and constitutive activation of BR signaling. Intriguingly, tonoplast accumulation of BAK1 was substantially increased and appeared causally linked to enhanced BRI1 trafficking and degradation in laz1 laz1h1 plants. Since unrelated vacuole mutants exhibited normal BR responses, our findings indicate that DUF300 proteins play distinct roles in the regulation of BR signaling by maintaining vacuole integrity required to balance subcellular BAK1 pools and BR receptor distribution.
In order to improve a recently established cell-based assay to assess the potency of botulinum neurotoxin, neuroblastoma-derived SiMa cells and induced pluripotent stem-cells (iPSC) were modified to incorporate the coding sequence of a reporter luciferase into a genetic safe harbor utilizing CRISPR/Cas9. A novel method, the double-control quantitative copy number PCR (dc-qcnPCR), was developed to detect off-target integrations of donor DNA. The donor DNA insertion success rate and targeted insertion success rate were analyzed in clones of each cell type. The dc-qcnPCR reliably quantified the copy number in both cell lines. The probability of incorrect donor DNA integration was significantly increased in SiMa cells in comparison to the iPSCs. This can possibly be explained by the lower bundled relative gene expression of a number of double-strand repair genes (BRCA1, DNA2, EXO1, MCPH1, MRE11, and RAD51) in SiMa clones than in iPSC clones. The dc-qcnPCR offers an efficient and cost-effective method to detect off-target CRISPR/Cas9-induced donor DNA integrations.
Puumala virus (PUUV) causes many human infections in large parts of Europe and can lead to mild to moderate disease. The bank vole (Myodes glareolus) is the only reservoir of PUUV in Central Europe. A commercial PUUV rapid field test for rodents was validated for bank-vole blood samples collected in two PUUV-endemic regions in Germany (North Rhine-Westphalia and Baden-Wurttemberg). A comparison of the results of the rapid field test and standard ELISAs indicated a test efficacy of 93-95%, largely independent of the origin of the antigens used in the ELISA. In ELISAs, reactivity for the German PUUV strain was higher compared to the Swedish strain but not compared to the Finnish strain, which was used for the rapid field test. In conclusion, the use of the rapid field test can facilitate short-term estimation of PUUV seroprevalence in bank-vole populations in Germany and can aid in assessing human PUUV infection risk.
Plastic pollution is an increasing environmental problem, but a comprehensive understanding of its effect in the environment is still missing. The wide variety of size, shape, and polymer composition of plastics impedes an adequate risk assessment. We investigated the effect of differently sized polystyrene beads (1-, 3-, 6-µm; PS) and polyamide fragments (5–25 µm, PA) and non-plastics items such as silica beads (3-µm, SiO2) on the population growth, reproduction (egg ratio), and survival of two common aquatic micro invertebrates: the rotifer species Brachionus calyciflorus and Brachionus fernandoi. The MPs were combined with food quantity, limiting and saturating food concentration, and with food of different quality. We found variable fitness responses with a significant effect of 3-µm PS on the population growth rate in both rotifer species with respect to food quantity. An interaction between the food quality and the MPs treatments was found in the reproduction of B. calyciflorus. PA and SiO2 beads had no effect on fitness response. This study provides further evidence of the indirect effect of MPs in planktonic rotifers and the importance of testing different environmental conditions that could influence the effect of MPs.
Plastic pollution is an increasing environmental problem, but a comprehensive understanding of its effect in the environment is still missing. The wide variety of size, shape, and polymer composition of plastics impedes an adequate risk assessment. We investigated the effect of differently sized polystyrene beads (1-, 3-, 6-µm; PS) and polyamide fragments (5–25 µm, PA) and non-plastics items such as silica beads (3-µm, SiO2) on the population growth, reproduction (egg ratio), and survival of two common aquatic micro invertebrates: the rotifer species Brachionus calyciflorus and Brachionus fernandoi. The MPs were combined with food quantity, limiting and saturating food concentration, and with food of different quality. We found variable fitness responses with a significant effect of 3-µm PS on the population growth rate in both rotifer species with respect to food quantity. An interaction between the food quality and the MPs treatments was found in the reproduction of B. calyciflorus. PA and SiO2 beads had no effect on fitness response. This study provides further evidence of the indirect effect of MPs in planktonic rotifers and the importance of testing different environmental conditions that could influence the effect of MPs.
Genetic divergence and the frequency of hybridization are central for defining species delimitations, especially among cryptic species where morphological differences are merely absent. Rotifers are known for their high cryptic diversity and therefore are ideal model organisms to investigate such patterns. Here, we used the recently resolved Brachionus calyciflorus species complex to investigate whether previously observed between species differences in thermotolerance and gene expression are also reflected in their genomic footprint. We identified a Heat Shock Protein gene (HSP 40 kDa) which exhibits cross species pronounced sequence variation. This gene exhibits species-specific fixed sites, alleles, and sites putatively under positive selection. These sites are located in protein binding regions involved in chaperoning and may therefore reflect adaptive diversification. By comparing three genetic markers (ITS, COI, HSP 40 kDa), we revealed hybridization events between the cryptic species. The low frequency of introgressive haplotypes/alleles suggest a tight, but not fully impermeable boundary between the cryptic species.
Resource distribution heterogeneity offers niche opportunities for species with different functional traits to develop and potentially coexist. Available light (photosynthetically active radiation or PAR) for suspended algae (phytoplankton) may fluctuate greatly over time and space. Species-specific light acquisition traits capture important aspects of the ecophysiology of phytoplankton and characterize species growth at either limiting or saturating daily PAR supply. Efforts have been made to explain phytoplankton coexistence using species-specific light acquisition traits under constant light conditions, but not under fluctuating light regimes that should facilitate non-equilibrium coexistence. In the well-mixed, hypertrophic Lake TaiHu (China), we incubated the phytoplankton community in bottles placed either at fixed depths or moved vertically through the water column to mimic vertical mixing. Incubations at constant depths received only the diurnal changes in light, while the moving bottles received rapidly fluctuating light. Species-specific light acquisition traits of dominant cyanobacteria (Anabaena flos-aquae, Microcystis spp.) and diatom (Aulacoseira granulata, Cyclotella pseudostelligera) species were characterized from their growth-light relationships that could explain relative biomasses along the daily PAR gradient under both constant and fluctuating light. Our study demonstrates the importance of interspecific differences in affinities to limiting and saturating light for the coexistence of phytoplankton species in spatially heterogeneous light conditions. Furthermore, we observed strong intraspecific differences in light acquisition traits between incubation under constant and fluctuating light - leading to the reversal of light utilization strategies of species. This increased the niche space for acclimated species, precluding competitive exclusion. These observations could enhance our understanding of the mechanisms behind the Paradox of the Plankton.
Understanding the molecular basis of morphological change remains a central challenge in evolutionary-developmental biology. The transition from outbreeding to selfing is often associated with a dramatic reduction in reproductive structures and functions, such as the loss of attractive pheromones in hermaphroditic Caenorhabditis elegans and a reduced flower size in plants. Here, we demonstrate that variation in the level of the brassinosteroid-biosynthesis enzyme CYP724A1 contributes to the reduced flower size of selfing Capsella rubella compared with its outbreeding ancestor Capsella grandiflora. The primary transcript of the C. rubella allele is spliced more efficiently than that of C. grandiflora, resulting in higher brassinosteroid levels. These restrict organ growth by limiting cell proliferation. More efficient splicing of the C. rubella allele results from two de novo mutations in the selfing lineage. Thus, our results highlight the potentially widespread importance of differential splicing efficiency and higher-than-optimal hormone levels in generating phenotypic variation.
The nature of the interaction between prehistoric humans and their environment, especially the vegetation, has long been of interest. The Qinghai Lake Basin in North China is well-suited to exploring the interactions between prehistoric humans and vegetation in the Tibetan Plateau, because of the comparatively dense distribution of archaeological sites and the ecologically fragile environment. Previous pollen studies of Qinghai Lake have enabled a detailed reconstruction of the regional vegetation, but they have provided relatively little information on vegetation change within the Qinghai Lake watershed. To address the issue we conducted a pollen-based vegetation reconstruction for an archaeological site (YWY), located on the southern shore of Qinghai Lake. We used high temporal-resolution pollen records from the YWY site and from Qinghai Lake, spanning the interval since the last deglaciation (15.3 kyr BP to the present) to quantitatively reconstruct changes in the local and regional vegetation using Landscape Reconstruction Algorithm models. The results show that, since the late glacial, spruce forest grew at high altitudes in the surrounding mountains, while the lakeshore environment was occupied mainly by shrub-steppe. From the lateglacial to the middle Holocene, coniferous woodland began to expand downslope and reached the YWY site at 7.1 kyr BP. The living environment of the local small groups of Paleolithic-Epipaleolithic humans (during 15.3-13.1 kyr BP and 9-6.4 kyr BP) changed from shrub-steppe to coniferous forest-steppe. The pollen record shows no evidence of pronounced changes in the vegetation community corresponding to human activity. However, based on a comparison of the local and regional vegetation reconstructions, low values of biodiversity and a significant increase in two indicators of vegetation degradation, Chenopodiaceae and Rosaceae, suggest that prehistoric hunters-gatherers likely disturbed the local vegetation during 9.0-6.4 kyr BP. Our findings are a preliminary attempt to study human-environment interactions at Paleolithic-Epipaleolithic sites in the region, and they contribute to ongoing environmental archaeology research in the Tibetan Plateau.
Relationships between climate, species composition, and species richness are of particular importance for understanding how boreal ecosystems will respond to ongoing climate change. This study aims to reconstruct changes in terrestrial vegetation composition and taxa richness during the glacial Late Pleistocene and the interglacial Holocene in the sparsely studied southeastern Yakutia (Siberia) by using pollen and sedimentary ancient DNA (sedaDNA) records. Pollen and sedaDNA metabarcoding data using the trnL g and h markers were obtained from a sediment core from Lake Bolshoe Toko. Both proxies were used to reconstruct the vegetation composition, while metabarcoding data were also used to investigate changes in plant taxa richness. The combination of pollen and sedaDNA approaches allows a robust estimation of regional and local past terrestrial vegetation composition around Bolshoe Toko during the last similar to 35,000 years. Both proxies suggest that during the Late Pleistocene, southeastern Siberia was covered by open steppe-tundra dominated by graminoids and forbs with patches of shrubs, confirming that steppe-tundra extended far south in Siberia. Both proxies show disturbance at the transition between the Late Pleistocene and the Holocene suggesting a period with scarce vegetation, changes in the hydrochemical conditions in the lake, and in sedimentation rates. Both proxies document drastic changes in vegetation composition in the early Holocene with an increased number of trees and shrubs and the appearance of new tree taxa in the lake's vicinity. The sedaDNA method suggests that the Late Pleistocene steppe-tundra vegetation supported a higher number of terrestrial plant taxa than the forested Holocene. This could be explained, for example, by the "keystone herbivore" hypothesis, which suggests that Late Pleistocene megaherbivores were able to maintain a high plant diversity. This is discussed in the light of the data with the broadly accepted species-area hypothesis as steppe-tundra covered such an extensive area during the Late Pleistocene.
Ecological niche models (ENMs) are often used to investigate how climatic variables from known occurrence records can estimate potential species range distribution. Although climate-based ENMs provide critical baseline information, the inclusion of non-climatic predictors related to vegetation cover might generate more realistic scenarios. This assumption is particularly relevant for species with life-history traits related to forest habitats and sensitive to habitat loss and fragmentation. Here, we developed ENMs for 36 Atlantic Forest endemic birds considering two sets of predictor variables: (i) climatic variables only and (ii) climatic variables combined with the percentage of remaining native vegetation. We hypothesized that the inclusion of native vegetation data would decrease the potential range distribution of forest-dependent species by limiting their occurrence in regions harboring small areas of native vegetation habitats, despite otherwise favorable climatic conditions. We also expected that habitat restriction in the climate-vegetation models would be more pronounced for highly forest-dependent birds. The inclusion of vegetation data in the modeling procedures restricted the final distribution ranges of 22 out of 36 modeled species, while the 14 remaining presented an expansion of their ranges. We observed that species with high and medium forest dependency showed higher restriction in range size predictions between predictor sets than species with low forest dependency, which showed no alteration or range expansion. Overall, our results suggest that ENMs based on climatic and landscape variables may be a useful tool for conservationists to better understand the dynamic of bird species distributions in threatened and highly fragmented regions such as the Atlantic Forest hotspot.(c) 2021 Associacao Brasileira de Cie circumflex accent ncia Ecol ogica e Conservacao. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ ).
Shrub encroachment has far-reaching ecological and economic consequences in many ecosystems worldwide. Yet, compositional changes associated with shrub encroachment are often overlooked despite having important effects on ecosystem functioning. We document the compositional change and potential drivers for a northern Namibian Combretum woodland transitioning into a Terminalia shrubland. We use a multiproxy record (pollen, sedimentary ancient DNA, biomarkers, compound-specific carbon (delta C-13) and deuterium (delta D) isotopes, bulk carbon isotopes (delta(13)Corg), grain size, geochemical properties) from Lake Otjikoto at high taxonomical and temporal resolution. We provide evidence that state changes in semiarid environments may occur on a scale of one century and that transitions between stable states can span around 80 years and are characterized by a unique vegetation composition. We demonstrate that the current grass/woody ratio is exceptional for the last 170 years, as supported by n-alkane distributions and the delta C-13 and delta(13)Corg records. Comparing vegetation records to environmental proxy data and census data, we infer a complex network of global and local drivers of vegetation change. While our delta D record suggests physiological adaptations of woody species to higher atmospheric pCO(2) concentration and drought, our vegetation records reflect the impact of broad-scale logging for the mining industry, and the macrocharcoal record suggests a decrease in fire activity associated with the intensification of farming. Impact of selective grazing is reflected by changes in abundance and taxonomical composition of grasses and by an increase of nonpalatable and trampling-resistant taxa. In addition, grain-size and spore records suggest changes in the erodibility of soils because of reduced grass cover. Synthesis. We conclude that transitions to an encroached savanna state are supported by gradual environmental changes induced by management strategies, which affected the resilience of savanna ecosystems. In addition, feedback mechanisms that reflect the interplay between management legacies and climate change maintain the encroached state.