@misc{WestburyHartmannBarlowetal.2018,
  author    = {Westbury, Michael V. and Hartmann, Stefanie and Barlow, Axel and Wiesel, Ingrid and Leo, Viyanna and Welch, Rebecca and Parker, Daniel M. and Sicks, Florian and Ludwig, Arne and Dalen, Love and Hofreiter, Michael},
  title     = {Extended and continuous decline in effective population size results in low genomic diversity in the world's rarest hyena species, the brown hyena},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {589},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-41413},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-414132},
  pages     = {13},
  year      = {2018},
  abstract  = {Hyenas (family Hyaenidae), as the sister group to cats (family Felidae), represent a deeply diverging branch within the cat-like carnivores (Feliformia). With an estimated population size of <10,000 individuals worldwide, the brown hyena (Parahyaena brunnea) represents the rarest of the four extant hyena species and has been listed as Near Threatened by the IUCN. Here, we report a high-coverage genome from a captive bred brown hyena and both mitochondrial and low-coverage nuclear genomes of 14 wild-caught brown hyena individuals from across southern Africa. We find that brown hyena harbor extremely low genetic diversity on both the mitochondrial and nuclear level, most likely resulting from a continuous and ongoing decline in effective population size that started similar to 1 Ma and dramatically accelerated towards the end of the Pleistocene. Despite the strikingly low genetic diversity, we find no evidence of inbreeding within the captive bred individual and reveal phylogeographic structure, suggesting the existence of several potential subpopulations within the species.},
  language  = {en}
}
@misc{TaronLellBarlowetal.2018,
  author    = {Taron, Ulrike H. and Lell, Moritz and Barlow, Axel and Paijmans, Johanna L. A.},
  title     = {Testing of Alignment Parameters for Ancient Samples},
  series = {Genes},
  journal   = {Genes},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-409683},
  pages     = {12},
  year      = {2018},
  abstract  = {High-throughput sequence data retrieved from ancient or other degraded samples has led to unprecedented insights into the evolutionary history of many species, but the analysis of such sequences also poses specific computational challenges. The most commonly used approach involves mapping sequence reads to a reference genome. However, this process becomes increasingly challenging with an elevated genetic distance between target and reference or with the presence of contaminant sequences with high sequence similarity to the target species. The evaluation and testing of mapping efficiency and stringency are thus paramount for the reliable identification and analysis of ancient sequences. In this paper, we present 'TAPAS', (Testing of Alignment Parameters for Ancient Samples), a computational tool that enables the systematic testing of mapping tools for ancient data by simulating sequence data reflecting the properties of an ancient dataset and performing test runs using the mapping software and parameter settings of interest. We showcase TAPAS by using it to assess and improve mapping strategy for a degraded sample from a banded linsang (Prionodon linsang), for which no closely related reference is currently available. This enables a 1.8-fold increase of the number of mapped reads without sacrificing mapping specificity. The increase of mapped reads effectively reduces the need for additional sequencing, thus making more economical use of time, resources, and sample material.},
  language  = {en}
}