TY - GEN A1 - Xenikoudakis, Georgios A1 - Ahmed, Mayeesha A1 - Harris, Jacob Colt A1 - Wadleigh, Rachel A1 - Paijmans, Johanna L. A. A1 - Hartmann, Stefanie A1 - Barlow, Axel A1 - Lerner, Heather A1 - Hofreiter, Michael T1 - Ancient DNA reveals twenty million years of aquatic life in beavers T2 - Current biology : CB N2 - Xenikoudakis et al. report a partial mitochondrial genome of the extinct giant beaver Castoroides and estimate the origin of aquatic behavior in beavers to approximately 20 million years. This time estimate coincides with the extinction of terrestrial beavers and raises the question whether the two events had a common cause. Y1 - 2020 U6 - https://doi.org/10.1016/j.cub.2019.12.041 SN - 0960-9822 SN - 1879-0445 VL - 30 IS - 3 SP - R110 EP - R111 PB - Current Biology Ltd. CY - London ER - TY - GEN A1 - Westbury, Michael V. A1 - Baleka, Sina Isabelle A1 - Barlow, Axel A1 - Hartmann, Stefanie A1 - Paijmans, Johanna L. A. A1 - Kramarz, Alejandro A1 - Forasiepi, Analía M. A1 - Bond, Mariano A1 - Gelfo, Javier N. A1 - Reguero, Marcelo A. A1 - López-Mendoza, Patricio A1 - Taglioretti, Matias A1 - Scaglia, Fernando A1 - Rinderknecht, Andrés A1 - Jones, Washington A1 - Mena, Francisco A1 - Billet, Guillaume A1 - de Muizon, Christian A1 - Aguilar, José Luis A1 - MacPhee, Ross D.E. A1 - Hofreiter, Michael T1 - A mitogenomic timetree for Darwin's enigmatic South American mammal Macrauchenia patachonica T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - The unusual mix of morphological traits displayed by extinct South American native ungulates (SANUs) confounded both Charles Darwin, who first discovered them, and Richard Owen, who tried to resolve their relationships. Here we report an almost complete mitochondrial genome for the litoptern Macrauchenia. Our dated phylogenetic tree places Macrauchenia as sister to Perissodactyla, but close to the radiation of major lineages within Laurasiatheria. This position is consistent with a divergence estimate of B66Ma (95% credibility interval, 56.64-77.83 Ma) obtained for the split between Macrauchenia and other Panperissodactyla. Combined with their morphological distinctiveness, this evidence supports the positioning of Litopterna (possibly in company with other SANU groups) as a separate order within Laurasiatheria. We also show that, when using strict criteria, extinct taxa marked by deep divergence times and a lack of close living relatives may still be amenable to palaeogenomic analysis through iterative mapping against more distant relatives. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 793 KW - ancient DNA KW - evolutionary history KW - genome sequence KW - reveals KW - contamination KW - alignment KW - reads KW - bones Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-440801 SN - 1866-8372 IS - 793 ER - TY - GEN A1 - Barlow, Axel A1 - Hartmann, Stefanie A1 - Gonzalez, Javier A1 - Hofreiter, Michael A1 - Paijmans, Johanna L. A. T1 - Consensify BT - a method for generating pseudohaploid genome sequences from palaeogenomic datasets with reduced error rates T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - A standard practise in palaeogenome analysis is the conversion of mapped short read data into pseudohaploid sequences, frequently by selecting a single high-quality nucleotide at random from the stack of mapped reads. This controls for biases due to differential sequencing coverage, but it does not control for differential rates and types of sequencing error, which are frequently large and variable in datasets obtained from ancient samples. These errors have the potential to distort phylogenetic and population clustering analyses, and to mislead tests of admixture using D statistics. We introduce Consensify, a method for generating pseudohaploid sequences, which controls for biases resulting from differential sequencing coverage while greatly reducing error rates. The error correction is derived directly from the data itself, without the requirement for additional genomic resources or simplifying assumptions such as contemporaneous sampling. For phylogenetic and population clustering analysis, we find that Consensify is less affected by artefacts than methods based on single read sampling. For D statistics, Consensify is more resistant to false positives and appears to be less affected by biases resulting from different laboratory protocols than other frequently used methods. Although Consensify is developed with palaeogenomic data in mind, it is applicable for any low to medium coverage short read datasets. We predict that Consensify will be a useful tool for future studies of palaeogenomes. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1033 KW - palaeogenomics KW - ancient DNA KW - sequencing error KW - error reduction KW - D statistics KW - bioinformatics Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472521 SN - 1866-8372 IS - 1033 ER - TY - JOUR A1 - Westbury, Michael V. A1 - Baleka, Sina Isabelle A1 - Barlow, Axel A1 - Hartmann, Stefanie A1 - Paijmans, Johanna L. A. A1 - Kramarz, Alejandro A1 - Forasiepi, Analia M. A1 - Bond, Mariano A1 - Gelfo, Javier N. A1 - Reguero, Marcelo A. A1 - Lopez-Mendoza, Patricio A1 - Taglioretti, Matias A1 - Scaglia, Fernando A1 - Rinderknecht, Andres A1 - Jones, Washington A1 - Mena, Francisco A1 - Billet, Guillaume A1 - de Muizon, Christian A1 - Luis Aguilar, Jose A1 - MacPhee, Ross D. E. A1 - Hofreiter, Michael T1 - A mitogenomic timetree for Darwin’s enigmatic South American mammal Macrauchenia patachonica JF - Nature Communications N2 - The unusual mix of morphological traits displayed by extinct South American native ungulates (SANUs) confounded both Charles Darwin, who first discovered them, and Richard Owen, who tried to resolve their relationships. Here we report an almost complete mitochondrial genome for the litoptern Macrauchenia. Our dated phylogenetic tree places Macrauchenia as sister to Perissodactyla, but close to the radiation of major lineages within Laurasiatheria. This position is consistent with a divergence estimate of B66Ma (95% credibility interval, 56.64-77.83 Ma) obtained for the split between Macrauchenia and other Panperissodactyla. Combined with their morphological distinctiveness, this evidence supports the positioning of Litopterna (possibly in company with other SANU groups) as a separate order within Laurasiatheria. We also show that, when using strict criteria, extinct taxa marked by deep divergence times and a lack of close living relatives may still be amenable to palaeogenomic analysis through iterative mapping against more distant relatives. Y1 - 2017 U6 - https://doi.org/10.1038/ncomms15951 SN - 2041-1723 VL - 8 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Barlow, Axel A1 - Hartmann, Stefanie A1 - Gonzalez, Javier A1 - Hofreiter, Michael A1 - Paijmans, Johanna L. A. T1 - Consensify BT - a method for generating pseudohaploid genome sequences from palaeogenomic datasets with reduced error rates JF - Genes / Molecular Diversity Preservation International N2 - A standard practise in palaeogenome analysis is the conversion of mapped short read data into pseudohaploid sequences, frequently by selecting a single high-quality nucleotide at random from the stack of mapped reads. This controls for biases due to differential sequencing coverage, but it does not control for differential rates and types of sequencing error, which are frequently large and variable in datasets obtained from ancient samples. These errors have the potential to distort phylogenetic and population clustering analyses, and to mislead tests of admixture using D statistics. We introduce Consensify, a method for generating pseudohaploid sequences, which controls for biases resulting from differential sequencing coverage while greatly reducing error rates. The error correction is derived directly from the data itself, without the requirement for additional genomic resources or simplifying assumptions such as contemporaneous sampling. For phylogenetic and population clustering analysis, we find that Consensify is less affected by artefacts than methods based on single read sampling. For D statistics, Consensify is more resistant to false positives and appears to be less affected by biases resulting from different laboratory protocols than other frequently used methods. Although Consensify is developed with palaeogenomic data in mind, it is applicable for any low to medium coverage short read datasets. We predict that Consensify will be a useful tool for future studies of palaeogenomes. KW - palaeogenomics KW - ancient DNA KW - sequencing error KW - error reduction KW - D statistics KW - bioinformatics Y1 - 2020 U6 - https://doi.org/10.3390/genes11010050 SN - 2073-4425 VL - 11 IS - 1 PB - MDPI CY - Basel ER - TY - JOUR A1 - Sheng, Gui-Lian A1 - Basler, Nikolas A1 - Ji, Xue-Ping A1 - Paijmans, Johanna L. A. A1 - Alberti, Federica A1 - Preick, Michaela A1 - Hartmann, Stefanie A1 - Westbury, Michael V. A1 - Yuan, Jun-Xia A1 - Jablonski, Nina G. A1 - Xenikoudakis, Georgios A1 - Hou, Xin-Dong A1 - Xiao, Bo A1 - Liu, Jian-Hui A1 - Hofreiter, Michael A1 - Lai, Xu-Long A1 - Barlow, Axel T1 - Paleogenome reveals genetic contribution of extinct giant panda to extant populations JF - Current biology N2 - Historically, the giant panda was widely distributed from northern China to southwestern Asia [1]. As a result of range contraction and fragmentation, extant individuals are currently restricted to fragmented mountain ranges on the eastern margin of the Qinghai-Tibet plateau, where they are distributed among three major population clusters [2]. However, little is known about the genetic consequences of this dramatic range contraction. For example, were regions where giant pandas previously existed occupied by ancestors of present-day populations, or were these regions occupied by genetically distinct populations that are now extinct? If so, is there any contribution of these extinct populations to the genomes of giant pandas living today? To investigate these questions, we sequenced the nuclear genome of an similar to 5,000-year-old giant panda from Jiangdongshan, Teng-chong County in Yunnan Province, China. We find that this individual represents a genetically distinct population that diverged prior to the diversification of modern giant panda populations. We find evidence of differential admixture with this ancient population among modern individuals originating from different populations as well as within the same population. We also find evidence for directional gene flow, which transferred alleles from the ancient population into the modern giant panda lineages. A variable proportion of the genomes of extant individuals is therefore likely derived from the ancient population represented by our sequenced individual. Although extant giant panda populations retain reasonable genetic diversity, our results suggest that this represents only part of the genetic diversity this species harbored prior to its recent range contractions. Y1 - 2019 U6 - https://doi.org/10.1016/j.cub.2019.04.021 SN - 0960-9822 SN - 1879-0445 VL - 29 IS - 10 SP - 1695 EP - 1700 PB - Cell Press CY - Cambridge ER - TY - JOUR A1 - Barlow, Axel A1 - Cahill, James A. A1 - Hartmann, Stefanie A1 - Theunert, Christoph A1 - Xenikoudakis, Georgios A1 - Gonzalez-Fortes, Gloria M. A1 - Paijmans, Johanna L. A. A1 - Rabeder, Gernot A1 - Frischauf, Christine A1 - Garcia-Vazquez, Ana A1 - Murtskhvaladze, Marine A1 - Saarma, Urmas A1 - Anijalg, Peeter A1 - Skrbinsek, Tomaz A1 - Bertorelle, Giorgio A1 - Gasparian, Boris A1 - Bar-Oz, Guy A1 - Pinhasi, Ron A1 - Slatkin, Montgomery A1 - Dalen, Love A1 - Shapiro, Beth A1 - Hofreiter, Michael T1 - Partial genomic survival of cave bears in living brown bears JF - Nature Ecology & Evolution N2 - Although many large mammal species went extinct at the end of the Pleistocene epoch, their DNA may persist due to past episodes of interspecies admixture. However, direct empirical evidence of the persistence of ancient alleles remains scarce. Here, we present multifold coverage genomic data from four Late Pleistocene cave bears (Ursus spelaeus complex) and show that cave bears hybridized with brown bears (Ursus arctos) during the Pleistocene. We develop an approach to assess both the directionality and relative timing of gene flow. We find that segments of cave bear DNA still persist in the genomes of living brown bears, with cave bears contributing 0.9 to 2.4% of the genomes of all brown bears investigated. Our results show that even though extinction is typically considered as absolute, following admixture, fragments of the gene pool of extinct species can survive for tens of thousands of years in the genomes of extant recipient species. Y1 - 2018 U6 - https://doi.org/10.1038/s41559-018-0654-8 SN - 2397-334X VL - 2 IS - 10 SP - 1563 EP - 1570 PB - Nature Publ. Group CY - London ER -