Institut für Biochemie und Biologie
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- hydrogel (3)
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- intermediate disturbance hypothesis (3)
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- acidophile (2)
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- body mass index (2)
- body proportions (2)
- botanical gardens (2)
- brackish waters (2)
- breeding (2)
- brushite (2)
- buffer zones (2)
- bush encroachment (2)
- butyrylcholinesterase (2)
- caffeine (2)
- calcium carbonate inclusions (2)
- camelid antibody (2)
- camelid heavy-chain-only antibodies (2)
- canalization (2)
- cancer therapy (2)
- captivity (2)
- carbon budget (2)
- carbon labeling (2)
- cardiac development (2)
- cardiomyocyte (2)
- cardiomyogenic differentiation (2)
- carrion ecology (2)
- cascading effects (2)
- catalase (2)
- catalysis (2)
- catch-up growth (2)
- cave fish (2)
- cell cycle (2)
- cell division (2)
- cell shape (2)
- cell signaling (2)
- cellular signaling (2)
- cellulose fibers (2)
- cellulose polymeric organic matter (2)
- cellulose synthase complex (2)
- ceramide (2)
- cereal leaf beetle (2)
- cetaceans (2)
- chaperone (2)
- chemical modification (2)
- chemical sensors (2)
- chimeric transcription factors (2)
- chlamydomonas (2)
- chloroplasts (2)
- chromatin regulation (2)
- chytridiomycota (2)
- cilium (2)
- circular dichroism (2)
- climate adaptation (2)
- climate dynamics (2)
- coat colour (2)
- codon usage (2)
- coefficient (2)
- coevolution (2)
- cold (2)
- cold stress (2)
- collagen (2)
- colon cancer (2)
- colonization (2)
- colony decline (2)
- colony viability (2)
- common‐garden experiment (2)
- community model (2)
- community structure (2)
- community theory (2)
- comparative genomics (2)
- competition–defense trade‐off (2)
- composite material (2)
- comprehensive analysis (2)
- computational morphodynamics (2)
- concepts (2)
- conformational change (2)
- conservation biology (2)
- conservation targets (2)
- constitutive activity (2)
- consumer (2)
- consumer diversity (2)
- converting factor (2)
- coping styles (2)
- copper (2)
- cord blood (2)
- cori cycle (2)
- covariance (2)
- coviability analysis (2)
- crop diversity (2)
- cropping system (2)
- cross-species capture (2)
- cryptic species complex (2)
- cryptomycota (2)
- cyanobacterial bloom (2)
- cyanobacterial sucrose-phosphatase (2)
- cytokines (2)
- cytokinesis (2)
- cytoplasmic polyadenylation (2)
- cytotype (2)
- dark virus (2)
- data integration (2)
- ddRAD (2)
- de novo genome assembly (2)
- dead Cas9 (2)
- decline (2)
- defense against predation (2)
- degradation (2)
- degraded DNA (2)
- demographic noise (2)
- desiccation (2)
- determinants of plant community diversity and structure (2)
- developing brain (2)
- developmental canalization (2)
- developmental plasticity (2)
- diacylglycerol (2)
- differential expression analysis (2)
- differential gene expression (2)
- direct effects (2)
- disease (2)
- disease ecology (2)
- dispersal filtering (2)
- diversity profiles (2)
- dominance effect (2)
- drug metabolism (2)
- drug release (2)
- dry and mesic grasslands (2)
- dual GLP-1/glucagon receptor agonist (2)
- dynamic equilibrium (2)
- early-warning signals (2)
- eastern continental Asia (2)
- eavesdropping (2)
- eco-physiology (2)
- ecohydrology (2)
- ecological novelty (2)
- ecosystem function (2)
- ecosystem processes (2)
- ecosystem services provisioning (2)
- education (2)
- effect (2)
- effectors (2)
- egg ratio (2)
- elbow breadth (2)
- electron microscopy (2)
- electropolymerisation (2)
- electropolymerization (2)
- endangered species (2)
- endocardium (2)
- endotoxin (2)
- energy budget (2)
- energy metabolism (2)
- enrichment experiments (2)
- environmental DNA (2)
- environmental filtering (2)
- environmental noise (2)
- environmental pollution (2)
- enzymatic MIP synthesis (2)
- enzymatic analyte conversion (2)
- enzymatic inactivation (2)
- enzyme immobilization (2)
- enzyme optimization (2)
- enzyme tracer (2)
- epidemiology (2)
- epigenetic variation (2)
- epithionitrile (2)
- epitope prediction (2)
- error reduction (2)
- essential resources (2)
- establishment (2)
- evolutionary (2)
- evolutionary biology (2)
- evolutionary ecology (2)
- evolutionary rescue (2)
- evolutionary theory (2)
- exendin-4 (2)
- expansion microscopy (2)
- experimental evolution (2)
- exploitation (2)
- exposition (2)
- expression patterns (2)
- expression profile (2)
- extinction debt (2)
- extinction drivers (2)
- extra-cytoplasmic pockets (2)
- extracellular enzymes (2)
- extracellular matrix (2)
- extracellular signaling (2)
- extreme events (2)
- extremophile (2)
- fatty acid changes (2)
- feature selection (2)
- fecundity (2)
- feedbacks (2)
- feeding behaviour (2)
- female choice (2)
- fence interaction (2)
- finite element modeling (2)
- fish (2)
- fisheries (2)
- fitness gradient (2)
- fitness response (2)
- floral scent (2)
- florfenicol (2)
- flow cytometry (2)
- fluktuierendes Licht (2)
- fluorescence (2)
- fluorescence sensor (2)
- food web dynamics (2)
- forage availability (2)
- forage gaps (2)
- foraging behaviour (2)
- forecasting (2)
- forest (2)
- forest herbs (2)
- formaldehyde assimilation (2)
- fractionation factors (2)
- fragmentation (2)
- free-living (2)
- freshwater algae (2)
- freshwater heterotrophic bacteria (2)
- functional complementation (2)
- functional richness (2)
- fungal pathogens (2)
- funktionelle Diversität (2)
- galactolipids (2)
- gamma diversity (2)
- gelatin (2)
- gene delivery (2)
- gene regulatory networks (2)
- generalized dissimilarity modelling (2)
- genetic (2)
- genetic accommodation (2)
- genetic differentiation (2)
- genetic engineering (2)
- genetic rescue (2)
- genetic screen (2)
- genetischer Screen (2)
- genomic prediction (2)
- genotype (2)
- genotypes (2)
- geographic distribution (2)
- germination (2)
- gibberellic acid (2)
- glacial maximum (2)
- glucosinolate hydrolysis (2)
- glutathione (2)
- glutathione peroxidase (2)
- glycine cleavage system (2)
- glycobiology (2)
- grapevine (2)
- grasslands (2)
- groundwater (2)
- groundwater recharge (2)
- guard cell (2)
- habitat (2)
- habitat connectivity (2)
- habitat fragmentation (2)
- habitat selection (2)
- handgrip strength (2)
- heart regeneration (2)
- heat shock protein (2)
- heavy-chain-only antibody (2)
- heliozoa (2)
- hemoglobin (2)
- herbivore (2)
- hierarchy-of-hypotheses approach (2)
- hilly loes plateau (2)
- histone modification (2)
- historical DNA (2)
- holocene (2)
- homeostasis (2)
- honey bees (2)
- hormone (2)
- horse (2)
- host specificity (2)
- hsp70 (2)
- human aldehyde oxidase (2)
- human endotoxemia (2)
- human sulfite oxidase (2)
- human-wildlife conflict (2)
- hybrid capture (2)
- hybridoma technology (2)
- hyperoxia (2)
- hyperthermia (2)
- image analysis (2)
- image processing (2)
- imaging (2)
- immunogenicity (2)
- importin (2)
- in silico (2)
- in vitro (2)
- in vitro immunization (2)
- in vitro particle opening (2)
- in vitro selection (2)
- in-vitro-synthesis (2)
- indirect effects (2)
- indirect facilitation (2)
- individual based modeling (2)
- individual variation (2)
- individual-based modeling (2)
- industrial farming (2)
- infection (2)
- infiltration (2)
- inhibition (2)
- initial site conditions (2)
- inner-mongolia (2)
- inorganic carbon uptake kinetics (2)
- integrative taxonomy (2)
- internal transcribed spacer (2)
- interspecific interactions (2)
- intra-organ-communication (2)
- intraguild predation (2)
- invasibility (2)
- invasion (2)
- invasion success (2)
- invasive (2)
- ion channel (2)
- ion mobility spectrometry (2)
- ion transport (2)
- ionic strength (2)
- iron-sulfur clusters (2)
- island disharmony (2)
- island syndromes (2)
- islands (2)
- jasmonate (2)
- jasmonic acid (2)
- kelp (2)
- lactate (2)
- lake periphyton (2)
- lakes (2)
- land sharing vs. land sparing (2)
- land-use intensity (2)
- landscape generator (2)
- landscape structure (2)
- large herbivores (2)
- large marsh grasshopper (2)
- last glacial maximum (2)
- late pleistocene (2)
- leaf development (2)
- leaf litter (2)
- leaf senescence (2)
- leucine zipper (2)
- lichens (2)
- life cycle (2)
- life‐history traits (2)
- light adaptation (2)
- limits (2)
- lipid classes (2)
- lipid limitation thresholds (2)
- lipid membranes (2)
- lipid metabolism (2)
- lipid rafts (2)
- lipidation (2)
- lipid–lipid interactions (2)
- lipoplexes (2)
- liverwort (2)
- livestock (2)
- locomotion (2)
- longevity (2)
- lysosomal storage disorders (2)
- maintenance (2)
- major histocompatibility complex (2)
- male Daphnia (2)
- male bank voles (2)
- maltooligosaccharides (2)
- mammalian-cells (2)
- many-to-one genotype–phenotype map (2)
- mapping (2)
- mate-pairs (2)
- maternal aggression (2)
- maternal effects (2)
- maturation (2)
- mechanisms (2)
- mediated delivery (2)
- membrane (2)
- membrane biophysics (2)
- membrane microdomains (2)
- membrane proteins (2)
- membranes (2)
- mesocosm (2)
- mesophyll cell (2)
- mesoporous materials (2)
- messenger-rna polyadenylation (2)
- metabolic (2)
- metabolic network (2)
- metabolic theory (2)
- metabolic-profiling (2)
- metabolische Netzwerke (2)
- metabolomic (2)
- metagenome (2)
- methanogens (2)
- methylotrophy (2)
- microarrays (2)
- microbial communities (2)
- microbiology (2)
- microclimate (2)
- microeukaryotes (2)
- microstructure (2)
- microtiter plate assay (2)
- microtubule-organization (2)
- model integration (2)
- model limitations (2)
- modern coexistence theory (2)
- modified Alternaria toxins (2)
- modularity (2)
- mojave desert (2)
- molecular architecture (2)
- molecular biology (2)
- molecular clock (2)
- molecular dynamics (2)
- molecular dynamics simulations (2)
- molecular phylogenetics (2)
- molecular species identification (2)
- molybdenum (2)
- molybdenum cofactor deficiency (2)
- molybdopterin synthase (2)
- moss (2)
- mouse (2)
- movement speed (2)
- multi-nutrient limitation (2)
- multidiversity (2)
- multidrug resistance (2)
- multivalence (2)
- mustelid predation (2)
- mutation (2)
- mycotoxin profile (2)
- mycotoxins (2)
- myocardium (2)
- myodes-glareolus (2)
- myrmecochory (2)
- n-oxide reductase (2)
- nachhaltige Landnutzung (2)
- nanobodies (2)
- nanostructure (2)
- natural particle (2)
- natural-selection (2)
- naturalized species (2)
- necrobiome (2)
- neophilia (2)
- neophobia (2)
- net primary productivity (2)
- network analysis (2)
- network reconstruction (2)
- neurodegeneration (2)
- neutrality (2)
- neutralization (2)
- new combination (2)
- next generation sequencing (NGS) (2)
- niche partitioning (2)
- niche theory (2)
- nitrile (2)
- nitrous-oxide (2)
- no threshold for stunting (2)
- noise color (2)
- non-breeding (2)
- non-independent mate choice (2)
- non-linear dynamics (2)
- non-predatory mortality (2)
- nonmodel species (2)
- northern peatlands (2)
- novel biomarkers (2)
- novel species (2)
- nuclear pore complex (2)
- nucleic acids (2)
- nucleolus (2)
- nucleoporins (2)
- nucleus-associated body (2)
- null model (2)
- number and brightness (2)
- nutrient (2)
- nutrient spike (2)
- nutrient stoichiometry (2)
- o-phenylenediamine (2)
- ocean acidification (2)
- offspring-defense (2)
- oil yield (2)
- ontogenesis (2)
- ontogeny (2)
- optogenetics (2)
- organ growth (2)
- organic matter (2)
- organisches Material (2)
- osmotic-pressure (2)
- outbreak (2)
- overhunting (2)
- oxidase (2)
- p-Aminophenol (2)
- pace-of-life syndrome (2)
- pacific oyster (2)
- paleoclimate (2)
- paleoenvironmental records (2)
- parallel beta-helix (2)
- parameter estimation (2)
- parameters (2)
- parasites (2)
- parasitoid (2)
- parentage (2)
- participatory research (2)
- past biosphere (2)
- past land use (2)
- pasture (2)
- pathway engineering (2)
- pectate lyase (2)
- performance (2)
- periplasmic nitrate reductase (2)
- persistence (2)
- personality-traits (2)
- pharmacokinetics (2)
- pharmacology (2)
- phenomics (2)
- phenotypic phase plane (2)
- phloem (2)
- phloem proteins (2)
- phonotaxis (2)
- phosphoglucan (2)
- phosphorylase (2)
- photoresponse (2)
- phylogenomics (2)
- physiology (2)
- phytodiversity (2)
- phytoplankton host (2)
- plant Mediator (2)
- plant adaptation (2)
- plant architecture (2)
- plant communities (2)
- plant ecology (2)
- plant functional types (2)
- plant invasions (2)
- plant macrofossil data (2)
- plant naturalization (2)
- plant science (2)
- plant species richness (2)
- plant traits (2)
- plant-plant interactions (2)
- plant-soil (belowground) interactions (2)
- plant–soil feedback (2)
- plasma (2)
- plastic-associated biofilms (2)
- plastid (2)
- plastid transformation (2)
- plastidial phosphorylase (2)
- playback (2)
- podovirus (2)
- point-of-care (2)
- polarization (2)
- pollinator shift (2)
- poly(a)-binding protein (2)
- poly(ether imide) (2)
- polyamide (2)
- polyethylene glycol (2)
- polyglycerol (2)
- polymorphism (2)
- polyploidization (2)
- polysulfide (2)
- population cycles (2)
- population delimitation (2)
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- populations (2)
- postglacial recolonization (2)
- potassium channel (2)
- potato tuber (2)
- potential-functions (2)
- prairie vole (2)
- precipitation (2)
- predator (2)
- predator recognition (2)
- predator–prey cycles (2)
- predictive systems ecology (2)
- preterm infants (2)
- principal component analysis (2)
- production (2)
- progenitor cells (2)
- protease inhibitor (2)
- protected area (2)
- protein adsorption (2)
- protein kinase (2)
- protein phosphorylation (2)
- protein structure (2)
- protein-protein (2)
- pubertal timing (2)
- public health (2)
- pulse perturbation (2)
- purifying selection (2)
- pyridoxal-50-phosphate (2)
- pyruvate (2)
- qPCR (2)
- qRT-PCR (2)
- quantum dots (2)
- quasi-permanent plots (2)
- questioning solutions (2)
- rain event depth (2)
- randomization (2)
- rapid evolution (2)
- reaction norms (2)
- receptor (2)
- reciprocal transplant experiment (2)
- recombinant inbred line population (2)
- recombination (2)
- recruitment (2)
- redfield ratio (2)
- redox polymer (2)
- reductive glycine pathway (2)
- reed (2)
- regime shifts (2)
- regression (2)
- regulate gene expression (2)
- relatedness (2)
- repetition (2)
- reproductive strategies (2)
- reptiles (2)
- reserve design (2)
- resource allocation (2)
- resource selection (2)
- resource-tracking (2)
- reveals (2)
- rhodobacter-capsulatus (2)
- ribosome (2)
- ribosome profiling (2)
- risk (2)
- rivastigmine (2)
- robustness (2)
- root hair initiation (2)
- root morphology (2)
- rooting depth (2)
- rural populations (2)
- salamanders (2)
- salicylic-acid (2)
- salinity (2)
- savanna (2)
- savanna ecology (2)
- scaffolding (2)
- scale-dependency (2)
- scaled mass index (2)
- secular changes (2)
- sedimentation (2)
- seed (2)
- seed provisioning (2)
- selective autophagy (2)
- self-assembled monolayer (2)
- self-incompatibility (2)
- selfing syndrome (2)
- semi-closed mitosis (2)
- sequencing error (2)
- serotyping (2)
- sexual dimorphism (2)
- sexual reproduction (2)
- sexual selection (2)
- sexual species (2)
- shock proteins (2)
- shoot apical meristem (2)
- shrub encroachment (2)
- shrub size (2)
- shrub-encroachment (2)
- signalling (2)
- significance (2)
- silica beads (2)
- silviculture (2)
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- single-molecule force spectroscopy (2)
- sirna transfection (2)
- slope aspect (2)
- smut fungi (2)
- social information (2)
- social status (2)
- social-economic-political-emotional (2)
- socioeconomic status (2)
- socioeconomy (2)
- soil moisture (2)
- soil texture (2)
- solitary bees (2)
- source regions (2)
- source-sink dynamics (2)
- spatial (2)
- spatial distribution (2)
- spatial-distribution (2)
- spatially explicit (2)
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- species abundance (2)
- species distribution model (2)
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- specificity factor (2)
- specifier proteins (2)
- spectroelectrochemistry (2)
- sphingolipids (2)
- sphingosine-1-phosphate (2)
- spindle pole body (2)
- spontaneous reaction (2)
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- standard metabolic rate (2)
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- starch biosynthesis (2)
- starch granule (2)
- starch granule biogenesis (2)
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- starch granule number regulation (2)
- starch granule size (2)
- starch initiation (2)
- static and dynamic light scattering (2)
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- sterol (2)
- stochastic fluctuations (2)
- stopover (2)
- storage (2)
- strategic growth adjustment (2)
- stress recovery (2)
- structural equation model (2)
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- succession (2)
- succulent karoo (2)
- sugar signalling (2)
- sulfur (2)
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- sulfurtransferase (2)
- superoxide (2)
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- synchronization (2)
- synchrony (2)
- synthesis (2)
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- tail-length (2)
- tailspike (2)
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- tamoxifen (2)
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- taxonomic (2)
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- telomere dysfunction (2)
- temperature increase (2)
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- terrestrial (2)
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- thiocarboxylate (2)
- thionucleosides (2)
- time series (2)
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- tissue stiffness (2)
- tissue types (2)
- titin (2)
- tobacco (2)
- tonoplast (2)
- toxicity (2)
- trade-off (2)
- trait diversity (2)
- trait-environment relationship (2)
- transcriptional regulation (2)
- transfer (2)
- transformation (2)
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- transition (2)
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- trehalose 6‐ phosphate (Tre6P) (2)
- tritrophic food web (2)
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- two-state model (2)
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- undernutrition (2)
- understanding (2)
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- variance (2)
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- vegetative growth (2)
- vernalization (2)
- vertebrate scavenger (2)
- viral matrix proteins (2)
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- vole clethrionomys-glareolus (2)
- voles clethrionomys-glareolus (2)
- voltage-dependent (2)
- voltage-independent (2)
- warburg effect (2)
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- "Omik"-Technologien (1)
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The deficiency of a (bio)chemical reaction network can be conceptually interpreted as a measure of its ability to support exotic dynamical behavior and/or multistationarity. The classical definition of deficiency relates to the capacity of a network to permit variations of the complex formation rate vector at steady state, irrespective of the network kinetics. However, the deficiency is by definition completely insensitive to the fine details of the directionality of reactions as well as bounds on reaction fluxes. While the classical definition of deficiency can be readily applied in the analysis of unconstrained, weakly reversible networks, it only provides an upper bound in the cases where relevant constraints on reaction fluxes are imposed. Here we propose the concept of effective deficiency, which provides a more accurate assessment of the network’s capacity to permit steady state variations at the complex level for constrained networks of any reversibility patterns. The effective deficiency relies on the concept of nonstoichiometric balanced complexes, which we have already shown to be present in real-world biochemical networks operating under flux constraints. Our results demonstrate that the effective deficiency of real-world biochemical networks is smaller than the classical deficiency, indicating the effects of reaction directionality and flux bounds on the variation of the complex formation rate vector at steady state.
Introduction Flux phenotypes from different organisms and growth conditions allow better understanding of differential metabolic networks functions. Fluxes of metabolic reactions represent the integrated outcome of transcription, translation, and post-translational modifications, and directly affect growth and fitness. However, fluxes of intracellular metabolic reactions cannot be directly measured, but are estimated via metabolic flux analysis (MFA) that integrates data on isotope labeling patterns of metabolites with metabolic models. While the application of metabolomics technologies in photosynthetic organisms have resulted in unprecedented data from 13CO2-labeling experiments, the bottleneck in flux estimation remains the application of isotopically nonstationary MFA (INST-MFA). INST-MFA entails fitting a (large) system of coupled ordinary differential equations, with metabolite pools and reaction fluxes as parameters. Here, we focus on the Calvin-Benson cycle (CBC) as a key pathway for carbon fixation in photosynthesizing organisms and ask if approaches other than classical INST-MFA can provide reliable estimation of fluxes for reactions comprising this pathway.
Methods First, we show that flux estimation with the labeling patterns of all CBC intermediates can be formulated as a single constrained regression problem, avoiding the need for repeated simulation of time-resolved labeling patterns.
Results We then compare the flux estimates of the simulation-free constrained regression approach with those obtained from the classical INST-MFA based on labeling patterns of metabolites from the microalgae Chlamydomonas reinhardtii, Chlorella sorokiniana and Chlorella ohadii under different growth conditions.
Discussion Our findings indicate that, in data-rich scenarios, simulation-free regression-based approaches provide a suitable alternative for flux estimation from classical INST-MFA since we observe a high qualitative agreement (rs=0.89) to predictions obtained from INCA, a state-of-the-art tool for INST-MFA.
The European Union is highly dependent on soybean imports from overseas to meet its protein demands. Individual Member States have been quick to declare self-sufficiency targets for plant-based proteins, but detailed strategies are still lacking. Rising global temperatures have painted an image of a bright future for soybean production in Europe, but emerging climatic risks such as drought have so far not been included in any of those outlooks.
Here, we present simulations of future soybean production and the most prominent risk factors across Europe using an ensemble of climate and soybean growth models. Projections suggest a substantial increase in potential soybean production area and productivity in Central Europe, while southern European production would become increasingly dependent on supplementary irrigation. Average productivity would rise by 8.3% (RCP 4.5) to 8.7% (RCP 8.5) as a result of improved growing conditions (plant physiology benefiting from rising temperature and CO2 levels) and farmers adapting to them by using cultivars with longer phenological cycles. Suitable production area would rise by 31.4% (RCP 4.5) to 37.7% (RCP 8.5) by the mid-century, contributing considerably more than productivity increase to the production potential for closing the protein gap in Europe.
While wet conditions at harvest and incidental cold spells are the current key challenges for extending soybean production, the models and climate data analysis anticipate that drought and heat will become the dominant limitations in the future. Breeding for heat-tolerant and water-efficient genotypes is needed to further improve soybean adaptation to changing climatic conditions.
Woody plants provide natural archives of climatic variation which can be investigated by applying dendroclimatological methods. Such studies are limited in Southern Africa but have great potential of improving our understanding of past climates and plant functional adaptations in the region. This study therefore investigated the responsiveness of Dichrostachys cinerea to seasonal variations in temperature and rainfall at two sites in central Namibia, Waterberg and Kuzikus. Dichrostachys cinerea is one of the encroacher species thriving well in Namibia. A moving correlation and response function analysis were used to test its responsiveness to seasonal climatic variations over time. Dichrostachys cinerea growth rings showed relationships to late summer warming, lasting up to half of the rainy season. The results also revealed that past temperatures had been fluctuating and their influence on growth rings had been intensifying over the years, but to varying extents between the two sites. Temperature was a more important determinant of ring growth at the drier site (Kuzikus), while rainfall was more important at the wetter site (Waterberg). Growth ring responsiveness to rainfall was not immediate but showed a rather lagged pattern. We conclude that D. cinerea differentially responds to variations in rainfall and temperature across short climatic gradients. This study showed that the species, due to its somewhat wide ecological amplitude, has great potential for dendroclimatological studies in tropical regions.
Crop rotation, fertilization and residue management affect the water balance and crop production and can lead to different sensitivities to climate change. To assess the impacts of climate change on crop rotations (CRs), the crop model ensemble (APSIM,AQUACROP, CROPSYST, DAISY, DSSAT, HERMES, MONICA) was used. The yields and water balance of two CRs with the same set of crops (winter wheat, silage maize, spring barley and winter rape) in a continuous transient run from 1961 to 2080 were simulated. CR1 was without cover crops and without manure application. Straw after the harvest was exported from the fields. CR2 included cover crops, manure application and crop residue retention left on field. Simulations were performed using two soil types (Chernozem, Cambisol) within three sites in the Czech Republic, which represent temperature and precipitation gradients for crops in Central Europe. For the description of future climatic conditions, seven climate scenarios were used. Six of them had increasing CO & nbsp;concentrations according RCP 8.5, one had no CO2 increase in the future. The output of an ensemble expected higher productivity by 0.82 t/ha/year and 2.04 t/ha/year for yields and aboveground biomass in the future (2051-2080). However, if the direct effect of a CO2 increase is not considered, the average yields for lowlands will be lower. Compared to CR1, CR2 showed higher average yields of 1.26 t/ha/year for current climatic conditions and 1.41 t/ha/year for future climatic conditions. For the majority of climate change scenarios, the crop model ensemble agrees on the projected yield increase in C3 crops in the future for CR2 but not for CR1. Higher agreement for future yield increases was found for Chernozem, while for Cambisol, lower yields under dry climate scenarios are expected. For silage maize, changes in simulated yields depend on locality. If the same hybrid will be used in the future, then yield reductions should be expected within lower altitudes. The results indicate the potential for higher biomass production from cover crops, but CR2 is associated with almost 120 mm higher evapotranspiration compared to that of CR1 over a 5-year cycle for lowland stations in the future, which in the case of the rainfed agriculture could affect the long-term soil water balance. This could affect groundwater replenishment, especially for locations with fine textured soils, although the findings of this study highlight the potential for the soil water-holding capacity to buffer against the adverse weather conditions.
To better understand how climate change might influence global canola production, scientists from six countries have completed the first inter-comparison of eight crop models for simulating growth and seed yield of canola, based on experimental data from six sites across five countries. A sensitivity analysis was conducted with a combination of five levels of atmospheric CO2 concentrations, seven temperature changes, five precipitation changes, together with five nitrogen application rates. Our results were in several aspects different from those of previous model inter-comparison studies for wheat, maize, rice, and potato crops. A partial model calibration only on phenology led to very poor simulation of aboveground biomass and seed yield of canola, even from the ensemble median or mean. A full calibration with additional data of leaf area index, biomass, and yield from one treatment at each site reduced simulation error of seed yield from 43.8 to 18.0%, but the uncertainty in simulation results remained large. Such calibration (with data from one treatment) was not able to constrain model parameters to reduce simulation uncertainty across the wide range of environments. Using a multi-model ensemble mean or median reduced the uncertainty of yield simulations, but the simulation error remained much larger than observation errors, indicating no guarantee that the ensemble mean/median would predict the correct responses. Using multi-model ensemble median, canola yield was projected to decline with rising temperature (2.5-5.7% per degrees C), but to increase with increasing CO2 concentration (4.6-8.3% per 100-ppm), rainfall (2.1-6.1% per 10% increase), and nitrogen rates (1.3-6.0% per 10% increase) depending on locations. Due to the large uncertainty, these results need to be treated with caution. We further discuss the need to collect new data to improve modelling of several key physiological processes of canola for increased confidence in future climate impact assessments.
Bioenergetic approaches are increasingly used to understand how marine mammal populations could be affected by a changing and disturbed aquatic environment. There remain considerable gaps in our knowledge of marine mammal bioenergetics, which hinder the application of bioenergetic studies to inform policy decisions. We conducted a priority-setting exercise to identify high-priority unanswered questions in marine mammal bioenergetics, with an emphasis on questions relevant to conservation and management. Electronic communication and a virtual workshop were used to solicit and collate potential research questions from the marine mammal bioenergetic community. From a final list of 39 questions, 11 were identified as 'key'questions because they received votes from at least 50% of survey participants. Key questions included those related to energy intake (prey landscapes, exposure to human activities) and expenditure (field metabolic rate, exposure to human activities, lactation, time-activity budgets), energy allocation priorities, metrics of body condition and relationships with survival and reproductive success and extrapolation of data from one species to another. Existing tools to address key questions include labelled water, animal-borne sensors, mark-resight data from long-term research programs, environmental DNA and unmanned vehicles. Further validation of existing approaches and development of new methodologies are needed to comprehensively address some key questions, particularly for cetaceans. The identification of these key questions can provide a guiding framework to set research priorities, which ultimately may yield more accurate information to inform policies and better conserve marine mammal populations.
Phenology has emerged as key indicator of the biological impacts of climate change, yet the role of functional traits constraining variation in herbaceous species' phenology has received little attention. Botanical gardens are ideal places in which to investigate large numbers of species growing under common climate conditions. We ask whether interspecific variation in plant phenology is influenced by differences in functional traits. We recorded onset, end, duration and intensity of initial growth, leafing out, leaf senescence, flowering and fruiting for 212 species across five botanical gardens in Germany. We measured functional traits, including plant height, absolute and specific leaf area, leaf dry matter content, leaf carbon and nitrogen content and seed mass and accounted for species' relatedness. Closely related species showed greater similarities in timing of phenological events than expected by chance, but species' traits had a high degree of explanatory power, pointing to paramount importance of species' life-history strategies. Taller plants showed later timing of initial growth, and flowered, fruited and underwent leaf senescence later. Large-leaved species had shorter flowering and fruiting durations. Taller, large-leaved species differ in their phenology and are more competitive than smaller, small-leaved species. We assume climate warming will change plant communities' competitive hierarchies with consequences for biodiversity.
Human activities modify nature worldwide via changes in the environment, biodiversity and the functioning of ecosystems, which in turn disrupt ecosystem services and feed back negatively on humans. A pressing challenge is thus to limit our impact on nature, and this requires detailed understanding of the interconnections between the environment, biodiversity and ecosystem functioning. These three components of ecosystems each include multiple dimensions, which interact with each other in different ways, but we lack a comprehensive picture of their interconnections and underlying mechanisms. Notably, diversity is often viewed as a single facet, namely species diversity, while many more facets exist at different levels of biological organisation (e.g. genetic, phenotypic, functional, multitrophic diversity), and multiple diversity facets together constitute the raw material for adaptation to environmental changes and shape ecosystem functioning. Consequently, investigating the multidimensionality of ecosystems, and in particular the links between multifaceted diversity, environmental changes and ecosystem functions, is crucial for ecological research, management and conservation. This thesis aims to explore several aspects of this question theoretically.
I investigate three broad topics in this thesis. First, I focus on how food webs with varying levels of functional diversity across three trophic levels buffer environmental changes, such as a sudden addition of nutrients or long-term changes (e.g. warming or eutrophication). I observed that functional diversity generally enhanced ecological stability (i.e. the buffering capacity of the food web) by increasing trophic coupling. More precisely, two aspects of ecological stability (resistance and resilience) increased even though a third aspect (the inverse of the time required for the system to reach its post-perturbation state) decreased with increasing functional diversity. Second, I explore how several diversity facets served as a raw material for different sources of adaptation and how these sources affected multiple ecosystem functions across two trophic levels. Considering several sources of adaptation enabled the interplay between ecological and evolutionary processes, which affected trophic coupling and thereby ecosystem functioning. Third, I reflect further on the multifaceted nature of diversity by developing an index K able to quantify the facet of functional diversity, which is itself multifaceted. K can provide a comprehensive picture of functional diversity and is a rather good predictor of ecosystem functioning. Finally I synthesise the interdependent mechanisms (complementarity and selection effects, trophic coupling and adaptation) underlying the relationships between multifaceted diversity, ecosystem functioning and the environment, and discuss the generalisation of my findings across ecosystems and further perspectives towards elaborating an operational biodiversity-ecosystem functioning framework for research and conservation.
The subgenus Laurentomantis in the genus Gephyromantis contains some of the least known amphibian species of Madagascar. The six currently valid nominal species are rainforest frogs known from few individuals, hampering a full understanding of the species diversity of the clade. We assembled data on specimens collected during field surveys over the past 30 years and integrated analysis of mitochondrial and nuclear-encoded genes of 88 individuals, a comprehensive bioacoustic analysis, and morphological comparisons to delimit a minimum of nine species-level lineages in the subgenus. To clarify the identity of the species Gephyromantis malagasius, we applied a target-enrichment approach to a sample of the 110 year old holotype of Microphryne malagasia Methuen and Hewitt, 1913 to assign this specimen to a lineage based on a mitochondrial DNA barcode. The holotype clustered unambiguously with specimens previously named G. ventrimaculatus. Consequently we propose to consider Trachymantis malagasia ventrimaculatus Angel, 1935 as a junior synonym of Gephyromantis malagasius. Due to this redefinition of G. malagasius, no scientific name is available for any of the four deep lineages of frogs previously subsumed under this name, all characterized by red color ventrally on the hindlimbs. These are here formally named as Gephyromantis fiharimpe sp. nov., G. matsilo sp. nov., G. oelkrugi sp. nov., and G. portonae sp. nov. The new species are distinguishable from each other by genetic divergences of >4% uncorrected pairwise distance in a fragment of the 16S rRNA marker and a combination of morphological and bioacoustic characters. Gephyromantis fiharimpe and G. matsilo occur, respectively, at mid-elevations and lower elevations along a wide stretch of Madagascar's eastern rainforest band, while G. oelkrugi and G. portonae appear to be more range-restricted in parts of Madagascar's North East and Northern Central East regions. Open taxonomic questions surround G. horridus, to which we here assign specimens from Montagne d'Ambre and the type locality Nosy Be; and G. ranjomavo, which contains genetically divergent populations from Marojejy, Tsaratanana, and Ampotsidy.
Overcoming natural biomass limitations in gram-negative bacteria through synthetic carbon fixation
(2024)
The carbon demands of an ever-increasing human population and the concomitant rise in net carbon emissions requires CO2 sequestering approaches for production of carbon-containing molecules. Microbial production of carbon-containing products from plant-based sugars could replace current fossil-based production. However, this form of sugar-based microbial production directly competes with human food supply and natural ecosystems. Instead, one-carbon feedstocks derived from CO2 and renewable energy were proposed as an alternative. The one carbon molecule formate is a stable, readily soluble and safe-to-store energetic mediator that can be electrochemically generated from CO2 and (excess off-peak) renewable electricity. Formate-based microbial production could represent a promising approach for a circular carbon economy. However, easy-to-engineer and efficient formate-utilizing microbes are lacking. Multiple synthetic metabolic pathways were designed for better-than-nature carbon fixation. Among them, the reductive glycine pathway was proposed as the most efficient pathway for aerobic formate assimilation. While some of these pathways have been successfully engineered in microbial hosts, these synthetic strains did so far not exceed the performance of natural strains. In this work, I engineered and optimized two different synthetic formate assimilation pathways in gram-negative bacteria to exceed the limits of a natural carbon fixation pathway, the Calvin cycle.
The first chapter solidified Cupriavidus necator as a promising formatotrophic host to produce value-added chemicals. The formate tolerance of C. necator was assessed and a production pathway for crotonate established in a modularized fashion. Last, bioprocess optimization was leveraged to produce crotonate from formate at a titer of 148 mg/L.
In the second chapter, I chromosomally integrated and optimized the synthetic reductive glycine pathway in C. necator using a transposon-mediated selection approach. The insertion methodology allowed selection for condition-specific tailored pathway expression as improved pathway performance led to better growth. I then showed my engineered strains to exceed the biomass yields of the Calvin cycle utilizing wildtype C. necator on formate. This demonstrated for the first time the superiority of a synthetic formate assimilation pathway and by extension of synthetic carbon fixation efforts as a whole.
In chapter 3, I engineered a segment of a synthetic carbon fixation cycle in Escherichia coli. The GED cycle was proposed as a Calvin cycle alternative that does not perform a wasteful oxygenation reaction and is more energy efficient. The pathways simple architecture and reasonable driving force made it a promising candidate for enhanced carbon fixation. I created a deletion strain that coupled growth to carboxylation via the GED pathway segment. The CO2 dependence of the engineered strain and 13C-tracer analysis confirmed operation of the pathway in vivo.
In the final chapter, I present my efforts of implementing the GED cycle also in C. necator, which might be a better-suited host, as it is accustomed to formatotrophic and hydrogenotrophic growth. To provide the carboxylation substrate in vivo, I engineered C. necator to utilize xylose as carbon source and created a selection strain for carboxylase activity. I verify activity of the key enzyme, the carboxylase, in the decarboxylative direction. Although CO2-dependent growth of the strain was not obtained, I showed that all enzymes required for operation of the GED cycle are active in vivo in C. necator.
I then evaluate my success with engineering a linear and cyclical one-carbon fixation pathway in two different microbial hosts. The linear reductive glycine pathway presents itself as a much simpler metabolic solution for formate dependent growth over the sophisticated establishment of hard-to-balance carbon fixation cycles. Last, I highlight advantages and disadvantages of C. necator as an upcoming microbial benchmark organism for synthetic metabolism efforts and give and outlook on its potential for the future of C1-based manufacturing.
Notwithstanding their 3 to 5% mortality, the 2.7 million envenomation-related injuries occurring annually-predominantly across Africa, Asia, and Latin America-are also major causes of morbidity. Venom toxin-damaged tissue will develop infections in some 75% of envenomation victims, with E. faecalis being a common culprit of disease; however, such infections are generally considered to be independent of envenomation.
Animal venoms are considered sterile sources of antimicrobial compounds with strong membrane-disrupting activity against multidrug-resistant bacteria.
However, venomous bite wound infections are common in developing nations. Investigating the envenomation organ and venom microbiota of five snake and two spider species, we observed venom community structures that depend on the host venomous animal species and evidenced recovery of viable microorganisms from black-necked spitting cobra (Naja nigricollis) and Indian ornamental tarantula (Poecilotheria regalis) venoms. Among the bacterial isolates recovered from N. nigricollis, we identified two venom-resistant, novel sequence types of Enterococcus faecalis whose genomes feature 16 virulence genes, indicating infectious potential, and 45 additional genes, nearly half of which improve bacterial membrane integrity.
Our findings challenge the dogma of venom sterility and indicate an increased primary infection risk in the clinical management of venomous animal bite wounds. IMPORTANCE Notwithstanding their 3 to 5% mortality, the 2.7 million envenomation-related injuries occurring annually-predominantly across Africa, Asia, and Latin America-are also major causes of morbidity. Venom toxin-damaged tissue will develop infections in some 75% of envenomation victims, with E. faecalis being a common culprit of disease; however, such infections are generally considered to be independent of envenomation. Here, we provide evidence on venom microbiota across snakes and arachnida and report on the convergent evolution mechanisms that can facilitate adaptation to black-necked cobra venom in two independent E. faecalis strains, easily misidentified by biochemical diagnostics.
Therefore, since inoculation with viable and virulence gene-harboring bacteria can occur during envenomation, acute infection risk management following envenomation is warranted, particularly for immunocompromised and malnourished victims in resource-limited settings.
These results shed light on how bacteria evolve for survival in one of the most extreme environments on Earth and how venomous bites must be also treated for infections.
Biological dinitrogen (N-2) fixation is performed solely by specialized bacteria and archaea termed diazotrophs, introducing new reactive nitrogen into aquatic environments.
Conventionally, phototrophic cyanobacteria are considered the major diazotrophs in aquatic environments. However, accumulating evidence indicates that diverse non-cyanobacterial diazotrophs (NCDs) inhabit a wide range of aquatic ecosystems, including temperate and polar latitudes, coastal environments and the deep ocean. NCDs are thus suspected to impact global nitrogen cycling decisively, yet their ecological and quantitative importance remain unknown. Here we review recent molecular and biogeochemical evidence demonstrating that pelagic NCDs inhabit and thrive especially on aggregates in diverse aquatic ecosystems. Aggregates are characterized by reduced-oxygen microzones, high C:N ratio (above Redfield) and high availability of labile carbon as compared to the ambient water.
We argue that planktonic aggregates are important loci for energetically-expensive N-2 fixation by NCDs and propose a conceptual framework for aggregate-associated N-2 fixation. Future studies on aggregate-associated diazotrophy, using novel methodological approaches, are encouraged to address the ecological relevance of NCDs for nitrogen cycling in aquatic environments.
Larix species range dynamics in Siberia since the Last Glacial captured from sedimentary ancient DNA
(2022)
Climate change is expected to cause major shifts in boreal forests which are in vast areas of Siberia dominated by two species of the deciduous needle tree larch (Larix). The species differ markedly in their ecosystem functions, thus shifts in their respective ranges are of global relevance.
However, drivers of species distribution are not well understood, in part because paleoecological data at species level are lacking. This study tracks Larix species distribution in time and space using target enrichment on sedimentary ancient DNA extracts from eight lakes across Siberia. We discovered that Larix sibirica, presently dominating in western Siberia, likely migrated to its northern distribution area only in the Holocene at around 10,000 years before present (ka BP), and had a much wider eastern distribution around 33 ka BP. Samples dated to the Last Glacial Maximum (around 21 ka BP), consistently show genotypes of L. gmelinii.
Our results suggest climate as a strong determinant of species distribution in Larix and provide temporal and spatial data for species projection in a changing climate.
Using ancient sedimentary DNA from up to 50 kya, dramatic distributional shifts are documented in two dominant boreal larch species, likely guided by environmental changes suggesting climate as a strong determinant of species distribution.
Mediterranean oak woodlands are currently facing unprecedented degradation threats from oak decline. The Iberian oak decline "Seca", related to Phytophthora infection, causes crown defoliation that may adversely affect ecosystem services (ESs). We aim to improve our understanding of how Seca-induced declines in crown foliation affect the provision of multiple ecosystem services from understory vegetation. We selected holm (Quercus ilex) and cork oak (Q. suber) trees in a Spanish oak woodland and evaluated three proxies of canopy effects. One proxy (crown defoliation) solely captured Seca-dependent effects, one proxy solely captured Seca-independent effects (tree dimensions such as diameter and height), while the third proxy (tree vigor) captured overall canopy effects. We then used the best-performing proxies to assess canopy effects on key ecosystem services (ESs) such as aboveground net primary production (ANPP), grass and legume biomass, species diversity, litter decomposition rates, and a combined index of ecosystem multifunctionality. <br /> We found that both types of canopy effects (i.e. Seca-dependent and Seca-independent effects) were related, indicating that ANPP was disproportionally more affected by Seca when defoliated trees were large. Responses of other ESs were mostly not significant, although lower species diversity was found under trees with intermediate vigor. Our results underline that a Seca-related decline in canopy density triggered a homogenization of ecosystem service delivery on the ecosystem scale. The ecosystem functions (EFs) under trees of low vigor are similar to that in adjacent open microsites indicating that the presence of vigorous (i.e. old and vital) trees is critical for maintaining EFs at a landscape level. Our results also highlight the importance of quantifying not only defoliation but also tree dimensions as both factors jointly and interactively modify canopy effects on ecosystem multifunctionality.
Environmental monitoring involves the quantification of microscopic cells and particles such as algae, plant cells, pollen, or fungal spores. Traditional methods using conventional microscopy require expert knowledge, are time-intensive and not well-suited for automated high throughput. Multispectral imaging flow cytometry (MIFC) allows measurement of up to 5000 particles per second from a fluid suspension and can simultaneously capture up to 12 images of every single particle for brightfield and different spectral ranges, with up to 60x magnification. The high throughput of MIFC has high potential for increasing the amount and accuracy of environmental monitoring, such as for plant-pollinator interactions, fossil samples, air, water or food quality that currently rely on manual microscopic methods. Automated recognition of particles and cells is also possible, when MIFC is combined with deep-learning computational techniques. Furthermore, various fluorescence dyes can be used to stain specific parts of the cell to highlight physiological and chemical features including: vitality of pollen or algae, allergen content of individual pollen, surface chemical composition (carbohydrate coating) of cells, DNA- or enzyme-activity staining. Here, we outline the great potential for MIFC in environmental research for a variety of research fields and focal organisms. In addition, we provide best practice recommendations.
Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014-2018) were from the Dedelow (Dd), Bad Lauchstadt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil-crop-climate interrelations in changing climatic conditions.
Moderate and temporary heat stresses prime plants to tolerate, and survive, a subsequent severe heat stress. Such acquired thermotolerance can be maintained for several days under normal growth conditions, and can create a heat stress memory. We recently demonstrated that plastid-localized small heat shock protein 21 ( HSP21) is a key component of heat stress memory in Arabidopsis thaliana. A sustained high abundance of HSP21 during the heat stress recovery phase extends heat stress memory. The level of HSP21 is negatively controlled by plastid-localized metalloprotease FtsH6 during heat stress recovery. Here, we demonstrate that autophagy, a cellular recycling mechanism, exerts additional control over HSP21 degradation. Genetic and chemical disruption of both metalloprotease activity and autophagy trigger superior HSP21 accumulation, thereby improving memory. Furthermore, we provide evidence that autophagy cargo receptor ATG8-INTERACTING PROTEIN1 (ATI1) is associated with heat stress memory. ATI1 bodies co-localize with both autophagosomes and HSP21, and their abundance and transport to the vacuole increase during heat stress recovery. Together, our results provide new insights into the module for control of the regulation of heat stress memory, in which two distinct protein degradation pathways act in concert to degrade HSP21, thereby enabling cells to recover from the heat stress effect at the cost of reducing the heat stress memory.
Zoosporic fungi of the phylum Chytridiomycota (chytrids) regularly dominate pelagic fungal communities in freshwater and marine environments. Their lifestyles range from obligate parasites to saprophytes. Yet, linking the scarce available sequence data to specific ecological traits or their host ranges constitutes currently a major challenge. We combined 28 S rRNA gene amplicon sequencing with targeted isolation and sequencing approaches, along with cross-infection assays and analysis of chytrid infection prevalence to obtain new insights into chytrid diversity, ecology, and seasonal dynamics in a temperate lake. Parasitic phytoplankton-chytrid and saprotrophic pollen-chytrid interactions made up the majority of zoosporic fungal reads. We explicitly demonstrate the recurrent dominance of parasitic chytrids during frequent diatom blooms and saprotrophic chytrids during pollen rains. Distinct temporal dynamics of diatom-specific parasitic clades suggest mechanisms of coexistence based on niche differentiation and competitive strategies. The molecular and ecological information on chytrids generated in this study will aid further exploration of their spatial and temporal distribution patterns worldwide. To fully exploit the power of environmental sequencing for studies on chytrid ecology and evolution, we emphasize the need to intensify current isolation efforts of chytrids and integrate taxonomic and autecological data into long-term studies and experiments.