TY - JOUR A1 - Stillfried, Milena A1 - Fickel, Jörns A1 - Börner, Konstantin A1 - Wittstatt, Ulrich A1 - Heddergott, Mike A1 - Ortmann, Sylvia A1 - Kramer-Schadt, Stephanie A1 - Frantz, Alain C. T1 - Do cities represent sources, sinks or isolated islands for urban wild boar population structure? JF - Journal of applied ecology : an official journal of the British Ecological Society KW - baps KW - Berlin KW - diyabc KW - human-wildlife conflict KW - hunting KW - microsatellites KW - movement barrier KW - source-sink dynamics KW - structure KW - urban ecology Y1 - 2017 U6 - https://doi.org/10.1111/1365-2664.12756 SN - 0021-8901 SN - 1365-2664 VL - 54 IS - 1 SP - 272 EP - 281 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Martins, Renata F. A1 - Fickel, Jörns A1 - Minh Le, A1 - Thanh Van Nguyen, A1 - Nguyen, Ha M. A1 - Timmins, Robert A1 - Gan, Han Ming A1 - Rovie-Ryan, Jeffrine J. A1 - Lenz, Dorina A1 - Förster, Daniel W. A1 - Wilting, Andreas T1 - Phylogeography of red muntjacs reveals three distinct mitochondrial lineages JF - BMC evolutionary biology N2 - Background: The members of the genus Muntiacus are of particular interest to evolutionary biologists due to their extreme chromosomal rearrangements and the ongoing discussions about the number of living species. Red muntjacs have the largest distribution of all muntjacs and were formerly considered as one species. Karyotype differences led to the provisional split between the Southern Red Muntjac (Muntiacus muntjak) and the Northern Red Muntjac (M. vaginalis), but uncertainties remain as, so far, no phylogenetic study has been conducted. Here, we analysed whole mitochondrial genomes of 59 archival and 16 contemporaneous samples to resolve uncertainties about their taxonomy and used red muntjacs as model for understanding the evolutionary history of other species in Southeast Asia. Results: We found three distinct matrilineal groups of red muntjacs: Sri Lankan red muntjacs (including the Western Ghats) diverged first from other muntjacs about 1.5 Mya; later northern red muntjacs (including North India and Indochina) and southern red muntjacs (Sundaland) split around 1.12 Mya. The diversification of red muntjacs into these three main lineages was likely promoted by two Pleistocene barriers: one through the Indian subcontinent and one separating the Indochinese and Sundaic red muntjacs. Interestingly, we found a high level of gene flow within the populations of northern and southern red muntjacs, indicating gene flow between populations in Indochina and dispersal of red muntjacs over the exposed Sunda Shelf during the Last Glacial Maximum. Conclusions: Our results provide new insights into the evolution of species in South and Southeast Asia as we found clear genetic differentiation in a widespread and generalist species, corresponding to two known biogeographical barriers: The Isthmus of Kra and the central Indian dry zone. In addition, our molecular data support either the delineation of three monotypic species or three subspecies, but more importantly these data highlight the conservation importance of the Sri Lankan/South Indian red muntjac. KW - Phylogeography KW - Archival DNA KW - Muntjac KW - Southeast Asia KW - Species complex Y1 - 2017 U6 - https://doi.org/10.1186/s12862-017-0888-0 SN - 1471-2148 VL - 17 IS - 34 PB - BioMed Central CY - London ER - TY - JOUR A1 - Patel, Riddhi P. A1 - Wutke, Saskia A1 - Lenz, Dorina A1 - Mukherjee, Shomita A1 - Ramakrishnan, Uma A1 - Veron, Geraldine A1 - Fickel, Jörns A1 - Wilting, Andreas A1 - Förster, Daniel W. T1 - Genetic Structure and Phylogeography of the Leopard Cat (Prionailurus bengalensis) Inferred from Mitochondrial Genomes JF - Journal of Heredity N2 - The Leopard cat Prionailurus bengalensis is a habitat generalist that is widely distributed across Southeast Asia. Based on morphological traits, this species has been subdivided into 12 subspecies. Thus far, there have been few molecular studies investigating intraspecific variation, and those had been limited in geographic scope. For this reason, we aimed to study the genetic structure and evolutionary history of this species across its very large distribution range in Asia. We employed both PCR-based (short mtDNA fragments, 94 samples) and high throughput sequencing based methods (whole mitochondrial genomes, 52 samples) on archival, noninvasively collected and fresh samples to investigate the distribution of intraspecific genetic variation. Our comprehensive sampling coupled with the improved resolution of a mitochondrial genome analyses provided strong support for a deep split between Mainland and Sundaic Leopard cats. Although we identified multiple haplogroups within the species’ distribution, we found no matrilineal evidence for the distinction of 12 subspecies. In the context of Leopard cat biogeography, we cautiously recommend a revision of the Prionailurus bengalensis subspecific taxonomy: namely, a reduction to 4 subspecies (2 mainland and 2 Sundaic forms). KW - habitat generalist KW - hybrid capture KW - Leopard cat KW - mitogenome KW - mtDNA KW - Southeast Asia Y1 - 2017 U6 - https://doi.org/10.1093/jhered/esx017 SN - 0022-1503 SN - 1465-7333 VL - 108 IS - 4 SP - 349 EP - 360 PB - Oxford Univ. Press CY - Cary ER - TY - THES A1 - Heise, Janine T1 - Phylogenetic and physiological characterization of deep-biosphere microorganisms in El’gygytgyn Crater Lake sediments T1 - Phylogenetische und physiologische Charakterisierung der Tiefen Biosphäre in El'gygytgyn Kraterseesedimenten N2 - The existence of diverse and active microbial ecosystems in the deep subsurface – a biosphere that was originally considered devoid of life – was discovered in multiple microbiological studies. However, most of the studies are restricted to marine ecosystems, while our knowledge about the microbial communities in the deep subsurface of lake systems and their potentials to adapt to changing environmental conditions is still fragmentary. This doctoral thesis aims to build up a unique data basis for providing the first detailed high-throughput characterization of the deep biosphere of lacustrine sediments and to emphasize how important it is to differentiate between the living and the dead microbial community in deep biosphere studies. In this thesis, up to 3.6 Ma old sediments (up to 317 m deep) of the El’gygytgyn Crater Lake were examined, which represents the oldest terrestrial climate record of the Arctic. Combining next generation sequencing with detailed geochemical characteristics and other environmental parameters, the microbial community composition was analyzed in regard to changing climatic conditions within the last 3.6 Ma to 1.0 Ma (Pliocene and Pleistocene). DNA from all investigated sediments was successfully extracted and a surprisingly diverse (6,910 OTUs) and abundant microbial community in the El’gygytgyn deep sediments were revealed. The bacterial abundance (10³-10⁶ 16S rRNA copies g⁻¹ sediment) was up to two orders of magnitudes higher than the archaeal abundance (10¹-10⁵) and fluctuates with the Pleistocene glacial/interglacial cyclicality. Interestingly, a strong increase in the microbial diversity with depth was observed (approximately 2.5 times higher diversity in Pliocene sediments compared to Pleistocene sediments). The increase in diversity with depth in the Lake El’gygytgyn is most probably caused by higher sedimentary temperatures towards the deep sediment layers as well as an enhanced temperature-induced intra-lake bioproductivity and higher input of allochthonous organic-rich material during Pliocene climatic conditions. Moreover, the microbial richness parameters follow the general trends of the paleoclimatic parameters, such as the paleo-temperature and paleo-precipitation. The most abundant bacterial representatives in the El’gygytgyn deep biosphere are affiliated with the phyla Proteobacteria, Actinobacteria, Bacteroidetes, and Acidobacteria, which are also commonly distributed in the surrounding permafrost habitats. The predominated taxon was the halotolerant genus Halomonas (in average 60% of the total reads per sample). Additionally, this doctoral thesis focuses on the live/dead differentiation of microbes in cultures and environmental samples. While established methods (e.g., fluorescence in situ hybridization, RNA analyses) are not applicable to the challenging El’gygytgyn sediments, two newer methods were adapted to distinguish between DNA from live cells and free (extracellular, dead) DNA: the propidium monoazide (PMA) treatment and the cell separation adapted for low amounts of DNA. The applicability of the DNA-intercalating dye PMA was successfully evaluated to mask free DNA of different cultures of methanogenic archaea, which play a major role in the global carbon cycle. Moreover, an optimal procedure to simultaneously treat bacteria and archaea was developed using 130 µM PMA and 5 min of photo-activation with blue LED light, which is also applicable on sandy environmental samples with a particle load of ≤ 200 mg mL⁻¹. It was demonstrated that the soil texture has a strong influence on the PMA treatment in particle-rich samples and that in particular silt and clay-rich samples (e.g., El’gygytgyn sediments) lead to an insufficient shielding of free DNA by PMA. Therefore, a cell separation protocol was used to distinguish between DNA from live cells (intracellular DNA) and extracellular DNA in the El’gygytgyn sediments. While comparing these two DNA pools with a total DNA pool extracted with a commercial kit, significant differences in the microbial composition of all three pools (mean distance of relative abundance: 24.1%, mean distance of OTUs: 84.0%) was discovered. In particular, the total DNA pool covers significantly fewer taxa than the cell-separated DNA pools and only inadequately represents the living community. Moreover, individual redundancy analyses revealed that the microbial community of the intra- and extracellular DNA pool are driven by different environmental factors. The living community is mainly influenced by life-dependent parameters (e.g., sedimentary matrix, water availability), while the extracellular DNA is dependent on the biogenic silica content. The different community-shaping parameters and the fact, that a redundancy analysis of the total DNA pool explains significantly less variance of the microbial community, indicate that the total DNA represents a mixture of signals of the live and dead microbial community. This work provides the first fundamental data basis of the diversity and distribution of microbial deep biosphere communities of a lake system over several million years. Moreover, it demonstrates the substantial importance of extracellular DNA in old sediments. These findings may strongly influence future environmental community analyses, where applications of live/dead differentiation avoid incorrect interpretations due to a failed extraction of the living microbial community or an overestimation of the past community diversity in the course of total DNA extraction approaches. N2 - Innerhalb der letzten 20 Jahre wurden diverse und aktive mikrobielle Gemeinschaften in zahlreichen Habitaten der tiefen Biosphäre gefunden, in denen zuvor kein Leben denkbar war. Die mikrobiologischen Untersuchungen beschränken sich dabei meist auf marine Ökosysteme, wohingegen das Wissen über die tiefe Biosphäre von Seesystemen und die Anpassung der Mikroorganismen an sich ändernde klimatische Bedingungen noch sehr eingeschränkt ist. Ziel dieser Arbeit ist es, die mikrobielle Gemeinschaftsstruktur der tiefen Biosphäre des El‘gygytgyn Kratersees in Hinblick auf klimatische Veränderungen der vergangenen 1,0 bis 3,6 Millionen Jahre zu charakterisieren, beeinflussende Umweltparameter zu detektieren und dabei zwischen der lebenden und toten mikrobiellen Gemeinschaft zu differenzieren. Die Seesedimente (43-317 m tief) weisen eine erstaunlich hohe Diversität (6910 OTUs) und Mikrobenfülle (10³-10⁶ bakterielle, 10¹-10⁵ archaeale 16S rRNA Kopien g⁻¹ Sediment) auf, wobei eine 2,5-fach höhere Diversität in den pliozänen Sedimenten im Vergleich zu den jüngeren pleistozänen Sedimenten detektiert werden konnte. Der Diversitätsanstieg mit zunehmendem Sedimentalter (und Tiefe) basiert höchstwahrscheinlich auf die erhöhte temperaturinduzierte Bioaktivität im See und dem erhöhten Eintrag von Organik reichen Material innerhalb des Pliozäns (feucht und warm). Die Unterscheidung zwischen der DNA lebender Mikroben (intrazellulare DNA) und freier DNA (extrazellulare DNA, meist von toten Mikroben) wurde durch die Adaption von zwei Extraktionsmethoden, der Behandlung mit Propidium-Monoazid (PMA) und der Zellseparation, erreicht. Dabei wurde ein PMA-Protokoll (130 µM PMA, 5 Min Lichtaktivierung mit blauen LEDs) zur erfolgreichen Behandlung von Reinkulturen methanogener Archaeen etabliert, das auch für sandige Umweltproben (Partikelbeladung ≤ 200 mg mL⁻¹) nutzbar ist. Für die feinporigeren Seesedimente des El’gygytgyn Kratersees wurden die zellseparierten DNA-Pools der iDNA und eDNA mit dem Gesamt-DNA-Extrakt (kommerzielles Kit) verglichen, wobei die DNA-Pools starke Unterschiede in ihrer Zusammensetzung aufzeigten (24,1% Distanz basierend auf relative Häufigkeiten) und der Gesamt-DNA-Extrakt die lebende mikrobielle Gemeinschaft nur unzureichend widerspiegeln konnte. Individuelle Redundanzanalysen (RDA) zeigten, dass die mikrobielle Gemeinschaft der iDNA von lebensbeeinflussenden Parametern abhängig ist (u.a. Sedimentmatrix, Wasserverfügbarkeit), wohingegen die der eDNA maßgeblich durch den Anteil an biogener Kieselerde (silica) beeinflusst wird. Diese Arbeit stellt die erste umfangreiche Datenbasis der Diversität und Verteilung von Mikroorganismengemeinschaften in der tiefen Biosphäre eines Seesystems über mehrere Millionen Jahre dar. Zusätzlich zeigt die Studie, dass die Lebend/Tot-Unterscheidung, mit dem ein höherer Anteil der Varianz innerhalb der Gemeinschaft durch Umweltparameter erklärt werden kann, im Vergleich zur Gesamt-DNA-Extraktion ein wesentlicher Schritt zur genauen Widerspiegelung der mikrobiellen Gemeinschaft und deren Funktion in der Tiefen Biosphäre ist. KW - Mikrobiologie KW - El`gygytgyn Kratersee KW - Tiefe Biosphäre KW - Diversität KW - microbiology KW - El’gygytgyn Crater Lake KW - diversity KW - deep biosphere Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-403436 ER - TY - GEN A1 - Scheffler, Tatjana T1 - Root infinitives on Twitter T2 - Snippets Y1 - 2017 U6 - https://doi.org/10.7358/snip-2017-031-sche SN - 1590-1807 IS - 31 SP - 24 EP - 25 PB - Editioni Università di Lettere Economica Diritto CY - Milano ER - TY - GEN A1 - Castro, José Pedro A1 - Grune, Tilman A1 - Speckmann, Bodo T1 - The two faces of reactive oxygen species (ROS) in adipocyte function and dysfunction N2 - White adipose tissue (WAT) is actively involved in the regulation of whole-body energy homeostasis via storage/release of lipids and adipokine secretion. Current research links WAT dysfunction to the development of metabolic syndrome (MetS) and type 2 diabetes (T2D). The expansion of WAT during oversupply of nutrients prevents ectopic fat accumulation and requires proper preadipocyte-to-adipocyte differentiation. An assumed link between excess levels of reactive oxygen species (ROS), WAT dysfunction and T2D has been discussed controversially. While oxidative stress conditions have conclusively been detected in WAT of T2D patients and related animal models, clinical trials with antioxidants failed to prevent T2D or to improve glucose homeostasis. Furthermore, animal studies yielded inconsistent results regarding the role of oxidative stress in the development of diabetes. Here, we discuss the contribution of ROS to the (patho)physiology of adipocyte function and differentiation, with particular emphasis on sources and nutritional modulators of adipocyte ROS and their functions in signaling mechanisms controlling adipogenesis and functions of mature fat cells. We propose a concept of ROS balance that is required for normal functioning of WAT. We explain how both excessive and diminished levels of ROS, e.g. resulting from over supplementation with antioxidants, contribute to WAT dysfunction and subsequently insulin resistance. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 339 KW - adipogenesis KW - adipose tissue dysregulation KW - antioxidants KW - metabolic disorders KW - oxidative stress Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-398039 ER - TY - THES A1 - Robaina Estevez, Semidan T1 - Context-specific metabolic predictions T1 - Kontextspezifische metabolische Vorhersagen BT - computational methods and applications BT - Berechnungsmethoden und Anwendungen N2 - All life-sustaining processes are ultimately driven by thousands of biochemical reactions occurring in the cells: the metabolism. These reactions form an intricate network which produces all required chemical compounds, i.e., metabolites, from a set of input molecules. Cells regulate the activity through metabolic reactions in a context-specific way; only reactions that are required in a cellular context, e.g., cell type, developmental stage or environmental condition, are usually active, while the rest remain inactive. The context-specificity of metabolism can be captured by several kinds of experimental data, such as by gene and protein expression or metabolite profiles. In addition, these context-specific data can be assimilated into computational models of metabolism, which then provide context-specific metabolic predictions. This thesis is composed of three individual studies focussing on context-specific experimental data integration into computational models of metabolism. The first study presents an optimization-based method to obtain context-specific metabolic predictions, and offers the advantage of being fully automated, i.e., free of user defined parameters. The second study explores the effects of alternative optimal solutions arising during the generation of context-specific metabolic predictions. These alternative optimal solutions are metabolic model predictions that represent equally well the integrated data, but that can markedly differ. This study proposes algorithms to analyze the space of alternative solutions, as well as some ways to cope with their impact in the predictions. Finally, the third study investigates the metabolic specialization of the guard cells of the plant Arabidopsis thaliana, and compares it with that of a different cell type, the mesophyll cells. To this end, the computational methods developed in this thesis are applied to obtain metabolic predictions specific to guard cell and mesophyll cells. These cell-specific predictions are then compared to explore the differences in metabolic activity between the two cell types. In addition, the effects of alternative optima are taken into consideration when comparing the two cell types. The computational results indicate a major reorganization of the primary metabolism in guard cells. These results are supported by an independent 13C labelling experiment. N2 - Alle lebenserhaltenden Prozesse werden durch tausende biochemische Reaktionen in der Zelle bestimmt, welche den Metabolismus charakterisieren. Diese Reaktionen bilden ein komplexes Netzwerk, welches alle notwendigen chemischen Verbindungen, die sogenannten Metabolite, aus einer bestimmten Menge an Ausgangsmolekülen produziert Zellen regulieren ihren Stoffwechsel kontextspezifisch, dies bedeutet, dass nur Reaktionen die in einem zellulären Kontext, zum Beispiel Zelltyp, Entwicklungsstadium oder verschiedenen Umwelteinflüssen, benötigt werden auch tatsächlich aktiv sind. Die übrigen Reaktionen werden als inaktiv betrachtet. Die Kontextspezifität des Metabolismus kann durch verschiedene experimentelle Daten, wie Gen- und Proteinexpressionen oder Metabolitprofile erfasst werden. Zusätzlich können diese Daten in Computersimulationen des Metabolismus integriert werden, um kontextspezifische (metabolische) Vorhersagen zu treffen. Diese Doktorarbeit besteht aus drei unabhängigen Studien, welche die Integration von kontextspezifischen experimentellen Daten in Computersimulationen des Metabolismus thematisieren. Die erste Studie beschreibt ein Konzept, basierend auf einem mathematischen Optimierungsproblem, welches es erlaubt kontextspezifische, metabolische Vorhersagen zu treffen. Dabei bietet diese vollautomatische Methode den Vorteil vom Nutzer unabhängige Parameter, zu verwenden. Die zweite Studie untersucht den Einfluss von alternativen optimalen Lösungen, welche bei kontextspezifischen metabolischen Vorhersagen generiert werden. Diese alternativen Lösungen stellen metabolische Modellvorhersagen da, welche die integrierten Daten gleichgut wiederspiegeln, sich aber grundlegend voneinander unterscheiden können. Diese Studie zeigt verschiedene Ansätze alternativen Lösungen zu analysieren und ihren Einfluss auf die Vorhersagen zu berücksichtigen. Schlussendlich, untersucht die dritte Studie die metabolische Spezialisierung der Schließzellen in Arabidopsis thaliana und vergleicht diese mit einer weiteren Zellart, den Mesophyllzellen. Zu diesem Zweck wurden die in dieser Doktorarbeit vorgestellten Methoden angewandt um metabolische Vorhersagen speziell für Schließzellen und Mesophyllzellen zu erhalten. Anschließend wurden die zellspezifischen Vorhersagen auf Unterschiede in der metabolischen Aktivität der Zelltypen, unter Berücksichtigung des Effekt von alternativen Optima, untersucht. Die Ergebnisse der Simulationen legen eine grundlegende Neuorganisation des Primärmetabolismus in Schließzellen verglichen mit Mesophyllzellen nahe. Diese Ergebnisse werden durch unabhängige 13C markierungs Experimente bestätigt. KW - systems biology KW - bioinformatics KW - metabolic networks KW - constraint-based modeling KW - data integration KW - Systemsbiologie KW - Bioinformatik KW - Stoffwechselnetze KW - Constraint-basierte Modellierung KW - Datenintegration Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-401365 ER - TY - JOUR A1 - Hansen, Bjoern Oest A1 - Meyer, Etienne H. A1 - Ferrari, Camilla A1 - Vaid, Neha A1 - Movahedi, Sara A1 - Vandepoele, Klaas A1 - Nikoloski, Zoran A1 - Mutwil, Marek T1 - Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana JF - New phytologist : international journal of plant science N2 - Recent advances in gene function prediction rely on ensemble approaches that integrate results from multiple inference methods to produce superior predictions. Yet, these developments remain largely unexplored in plants. We have explored and compared two methods to integrate 10 gene co-function networks for Arabidopsis thaliana and demonstrate how the integration of these networks produces more accurate gene function predictions for a larger fraction of genes with unknown function. These predictions were used to identify genes involved in mitochondrial complex I formation, and for five of them, we confirmed the predictions experimentally. The ensemble predictions are provided as a user-friendly online database, EnsembleNet. The methods presented here demonstrate that ensemble gene function prediction is a powerful method to boost prediction performance, whereas the EnsembleNet database provides a cutting-edge community tool to guide experimentalists. KW - Arabidopsis thaliana KW - co-function network KW - complex I KW - ensemble prediction KW - gene function prediction Y1 - 2017 U6 - https://doi.org/10.1111/nph.14921 SN - 0028-646X SN - 1469-8137 VL - 217 IS - 4 SP - 1521 EP - 1534 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Zibulski, Romy A1 - Wesener, Felix A1 - Wilkes, Heinz A1 - Plessen, Birgit A1 - Pestryakova, Luidmila Agafyevna A1 - Herzschuh, Ulrike T1 - C / N ratio, stable isotope (delta C-13, delta N-15), and n-alkane patterns of brown mosses along hydrological gradients of low-centred polygons of the Siberian Arctic JF - Biogeosciences N2 - Mosses are a major component of the arctic vegetation, particularly in wetlands. We present C / N atomic ratio, delta C-13 and delta N-15 data of 400 brown-moss samples belonging to 10 species that were collected along hydrological gradients within polygonal mires located on the southern Taymyr Peninsula and the Lena River delta in northern Siberia. Additionally, n-alkane patterns of six of these species (16 samples) were investigated. The aim of the study is to see whether the inter-and intraspecific differences in C / N, isotopic compositions and n-alkanes are indicative of habitat, particularly with respect to water level. Overall, we find high variability in all investigated parameters for two different moisture-related groups of moss species. The C / N ratios range between 11 and 53 (median: 32) and show large variations at the intraspecific level. However, species preferring a dry habitat (xero-mesophilic mosses) show higher C / N ratios than those preferring a wet habitat (meso-hygrophilic mosses). The delta C-13 values range between 37.0 and 22.5% (median D 27.8 %). The delta N-15 values range between 6.6 and C 1.7%(median D 2.2 %). We find differences in delta C-13 and delta N-15 compositions between both habitat types. For some species of the meso-hygrophilic group, we suggest that a relationship between the individ-ual habitat water level and isotopic composition can be inferred as a function of microbial symbiosis. The n-alkane distribution also shows differences primarily between xeromesophilic and meso-hygrophilic mosses, i. e. having a dominance of n-alkanes with long (n-C29, n-C31 /and intermediate (n-C25 /chain lengths, respectively. Overall, our results reveal that C / N ratios, isotopic signals and n-alkanes of studied brown-moss taxa from polygonal wetlands are characteristic of their habitat. Y1 - 2017 U6 - https://doi.org/10.5194/bg-14-1617-2017 SN - 1726-4170 SN - 1726-4189 VL - 14 SP - 1617 EP - 1630 PB - Copernicus CY - Göttingen ER - TY - GEN A1 - Zimmermann, Heike Hildegard A1 - Raschke, Elena A1 - Epp, Laura Saskia A1 - Stoof-Leichsenring, Kathleen Rosemarie A1 - Schwamborn, Georg A1 - Schirrmeister, Lutz A1 - Overduin, Pier Paul A1 - Herzschuh, Ulrike T1 - Sedimentary ancient DNA and pollen reveal the composition of plant organic matter in Late Quaternary permafrost sediments of the Buor Khaya Peninsula (north-eastern Siberia) T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Organic matter deposited in ancient, ice-rich permafrost sediments is vulnerable to climate change and may contribute to the future release of greenhouse gases; it is thus important to get a better characterization of the plant organic matter within such sediments. From a Late Quaternary permafrost sediment core from the Buor Khaya Peninsula, we analysed plant-derived sedimentary ancient DNA (sedaDNA) to identify the taxonomic composition of plant organic matter, and undertook palynological analysis to assess the environmental conditions during deposition. Using sedaDNA, we identified 154 taxa and from pollen and non-pollen palynomorphs we identified 83 taxa. In the deposits dated between 54 and 51 kyr BP, sedaDNA records a diverse low-centred polygon plant community including recurring aquatic pond vegetation while from the pollen record we infer terrestrial open-land vegetation with relatively dry environmental conditions at a regional scale. A fluctuating dominance of either terrestrial or swamp and aquatic taxa in both proxies allowed the local hydrological development of the polygon to be traced. In deposits dated between 11.4 and 9.7 kyr BP (13.4-11.1 cal kyr BP), sedaDNA shows a taxonomic turnover to moist shrub tundra and a lower taxonomic richness compared to the older samples. Pollen also records a shrub tundra community, mostly seen as changes in relative proportions of the most dominant taxa, while a decrease in taxonomic richness was less pronounced compared to sedaDNA. Our results show the advantages of using sedaDNA in combination with palynological analyses when macrofossils are rarely preserved. The high resolution of the sedaDNA record provides a detailed picture of the taxonomic composition of plant-derived organic matter throughout the core, and palynological analyses prove valuable by allowing for inferences of regional environmental conditions. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 670 KW - NE Siberia KW - vegetation patterns KW - environmental DNA KW - Arctic vegetation KW - frozen sediments KW - lake-sediments KW - gas-production KW - carbon KW - polygon KW - climate Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-417130 SN - 1866-8372 IS - 670 ER -