@misc{XenikoudakisAhmedHarrisetal.2020, author = {Xenikoudakis, Georgios and Ahmed, Mayeesha and Harris, Jacob Colt and Wadleigh, Rachel and Paijmans, Johanna L. A. and Hartmann, Stefanie and Barlow, Axel and Lerner, Heather and Hofreiter, Michael}, title = {Ancient DNA reveals twenty million years of aquatic life in beavers}, series = {Current biology : CB}, volume = {30}, journal = {Current biology : CB}, number = {3}, publisher = {Current Biology Ltd.}, address = {London}, issn = {0960-9822}, doi = {10.1016/j.cub.2019.12.041}, pages = {R110 -- R111}, year = {2020}, abstract = {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.}, language = {en} } @misc{WestburyBalekaBarlowetal.2017, author = {Westbury, Michael V. and Baleka, Sina Isabelle and Barlow, Axel and Hartmann, Stefanie and Paijmans, Johanna L. A. and Kramarz, Alejandro and Forasiepi, Anal{\´i}a M. and Bond, Mariano and Gelfo, Javier N. and Reguero, Marcelo A. and L{\´o}pez-Mendoza, Patricio and Taglioretti, Matias and Scaglia, Fernando and Rinderknecht, Andr{\´e}s and Jones, Washington and Mena, Francisco and Billet, Guillaume and de Muizon, Christian and Aguilar, Jos{\´e} Luis and MacPhee, Ross D.E. and Hofreiter, Michael}, title = {A mitogenomic timetree for Darwin's enigmatic South American mammal Macrauchenia patachonica}, series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, number = {793}, issn = {1866-8372}, doi = {10.25932/publishup-44080}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-440801}, pages = {8}, year = {2017}, abstract = {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.}, language = {en} } @misc{BarlowHartmannGonzalezetal.2020, author = {Barlow, Axel and Hartmann, Stefanie and Gonzalez, Javier and Hofreiter, Michael and Paijmans, Johanna L. A.}, title = {Consensify}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1033}, issn = {1866-8372}, doi = {10.25932/publishup-47252}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472521}, pages = {24}, year = {2020}, abstract = {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.}, language = {en} } @article{WestburyBalekaBarlowetal.2017, author = {Westbury, Michael V. and Baleka, Sina Isabelle and Barlow, Axel and Hartmann, Stefanie and Paijmans, Johanna L. A. and Kramarz, Alejandro and Forasiepi, Analia M. and Bond, Mariano and Gelfo, Javier N. and Reguero, Marcelo A. and Lopez-Mendoza, Patricio and Taglioretti, Matias and Scaglia, Fernando and Rinderknecht, Andres and Jones, Washington and Mena, Francisco and Billet, Guillaume and de Muizon, Christian and Luis Aguilar, Jose and MacPhee, Ross D. E. and Hofreiter, Michael}, title = {A mitogenomic timetree for Darwin's enigmatic South American mammal Macrauchenia patachonica}, series = {Nature Communications}, volume = {8}, journal = {Nature Communications}, publisher = {Nature Publ. Group}, address = {London}, issn = {2041-1723}, doi = {10.1038/ncomms15951}, pages = {8}, year = {2017}, abstract = {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.}, language = {en} } @article{BarlowHartmannGonzalezetal.2020, author = {Barlow, Axel and Hartmann, Stefanie and Gonzalez, Javier and Hofreiter, Michael and Paijmans, Johanna L. A.}, title = {Consensify}, series = {Genes / Molecular Diversity Preservation International}, volume = {11}, journal = {Genes / Molecular Diversity Preservation International}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {2073-4425}, doi = {10.3390/genes11010050}, pages = {22}, year = {2020}, abstract = {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.}, language = {en} } @article{ShengBaslerJietal.2019, author = {Sheng, Gui-Lian and Basler, Nikolas and Ji, Xue-Ping and Paijmans, Johanna L. A. and Alberti, Federica and Preick, Michaela and Hartmann, Stefanie and Westbury, Michael V. and Yuan, Jun-Xia and Jablonski, Nina G. and Xenikoudakis, Georgios and Hou, Xin-Dong and Xiao, Bo and Liu, Jian-Hui and Hofreiter, Michael and Lai, Xu-Long and Barlow, Axel}, title = {Paleogenome reveals genetic contribution of extinct giant panda to extant populations}, series = {Current biology}, volume = {29}, journal = {Current biology}, number = {10}, publisher = {Cell Press}, address = {Cambridge}, issn = {0960-9822}, doi = {10.1016/j.cub.2019.04.021}, pages = {1695 -- 1700}, year = {2019}, abstract = {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.}, language = {en} } @article{BarlowCahillHartmannetal.2018, author = {Barlow, Axel and Cahill, James A. and Hartmann, Stefanie and Theunert, Christoph and Xenikoudakis, Georgios and Gonzalez-Fortes, Gloria M. and Paijmans, Johanna L. A. and Rabeder, Gernot and Frischauf, Christine and Garcia-Vazquez, Ana and Murtskhvaladze, Marine and Saarma, Urmas and Anijalg, Peeter and Skrbinsek, Tomaz and Bertorelle, Giorgio and Gasparian, Boris and Bar-Oz, Guy and Pinhasi, Ron and Slatkin, Montgomery and Dalen, Love and Shapiro, Beth and Hofreiter, Michael}, title = {Partial genomic survival of cave bears in living brown bears}, series = {Nature Ecology \& Evolution}, volume = {2}, journal = {Nature Ecology \& Evolution}, number = {10}, publisher = {Nature Publ. Group}, address = {London}, issn = {2397-334X}, doi = {10.1038/s41559-018-0654-8}, pages = {1563 -- 1570}, year = {2018}, abstract = {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.}, language = {en} }