Biology subjects

Hartmann, S.

Publications and source records attributed to Hartmann, S..

3 recordsLinked to original sources

bioRxiv2018

High quality whole genome sequence of an abundant Holarctic odontocete, the harbour porpoise (Phocoena phocoena)

The harbour porpoise (Phocoena phocoena) is a highly mobile cetacean found in waters across the Northern hemisphere. It occurs in coastal water and inhabits water basins that vary broadly in salinity, temperature, and food availability. These diverse habitats could drive differentiation among populations. Here we report the first harbour porpoise genome, assembled de novo from a Swedish Kattegat individual. The genome is one of the most complete cetacean genomes currently available, with a total size of 2.7 Gb and 50% of the total length found in just 34 scaffolds. Using the largest 122 scaffolds, we were able to validate a high level of homology to the chromosome-level genome assembly of the closest related species for which such resource was available, the domestic cattle (Bos taurus). The draft annotation comprises 22,154 predicted gene models, which we further annotated through matches to the NCBI nucleotide database, GO categorization, and motif prediction. To infer the adaptive abilities of this species, as well as their population history, we performed a Bayesian skyline analysis, and produced results that are concordant with the demographic history of this species, including expansion and fragmentation events. Overall, this genome assembly, together with the draft annotation, represents a crucial addition to the limited genetic markers currently available for the study of porpoises and Phocoenidae conservation, phylogeny, and evolution.

genomics↗

bioRxiv2017

Bioinformatics analysis quantifies neighborhood preferences of cancer cells in Hodgkin lymphoma.

MotivationHodgkin lymphoma is a tumor of the lymphatic system and represents one of the most frequent lymphoma in the Western world. It is characterized by Hodgkin cells and Reed-Sternberg cells, which exhibit a broad morphological spectrum. The cells are visualized by immunohistochemical staining of tissue sections. In pathology, tissue images are mainly manually evaluated, relying on the expertise and experience of pathologists. Computational quantification methods become more and more essential to evaluate tissue images. In particular, the distribution of cancer cells is of great interest.\n\nResultsHere, we systematically quantified and investigated cancer cell properties and their spatial neighborhood relations by applying statistical analyses to whole slide images of Hodgkin lymphoma and lymphadenitis, which describes a non-cancerous inflammation of the lymph node. We differentiated cells by their morphology and studied the spatial neighborhood relation of more than 400,000 immunohistochemically stained cells. We found that, according to their morphological features, the cells exhibited significant preferences for and aversions to cells of specific profiles as nearest neighbor. We quantified differences between Hodgkin lymphoma and lymphadenitis concerning the neighborhood relations of cells and the sizes of cells. The approach can easily be applied to other cancer types.\n\nContactina.koch@bioinformatik.uni-frankfurt.de

bioinformatics↗

bioRxiv2017

Population and conservation genomics of the world's rarest hyena species, the brown hyena (Parahyena brunnea)

With an estimated population size of less than 10,000 individuals worldwide, the brown hyena (Parahyaena brunnea) has been listed as near threatened by the IUCN. Despite this rank, studies involving DNA analyses of the brown hyena are limited. Little consideration has been focussed towards population structure within the brown hyena, which could provide valuable insights about its evolutionary history and aid in conservation efforts of the species. Here we report both mitochondrial and nuclear genomes of wild-caught brown hyena individuals from across southern Africa. Mitochondrial DNA shows little to no phylogeographic structure, whereas low-coverage nuclear genomes reveal several potential sub-populations. Moreover, we find that brown hyenas harbour the lowest genetic diversity for a species on both the mitochondrial and nuclear level when compared to a number of mammalian species for which such information is currently available. Our data also reveal that at least on the nuclear DNA level, this low diversity could be the result of a continuous and ongoing decline in effective population size that started about one million years ago and dramatically accelerated towards the end of the Pleistocene. Moreover, our findings also show that the correlation between genetic diversity and the perceived risk of extinction is not particularly strong, since many species with higher genetic diversity than the brown hyena are considered to be at greater risk of extinction. Taken together, our results have important implications for the conservation status and conservation approaches of the brown hyena.

evolutionary biology↗