Genomics Reveals Complex Population History and Unexpected Diversity of Eurasian Otters (Lutra lutra) in Britain Relative to Genetic Methods.
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Full Title: Mol Biol Evol
Abbreviation: Mol Biol Evol
Country: Unknown
Publisher: Unknown
Language: N/A
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Subject Category: Molecular Biology
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"previously published mitochondrial sequences available from genbank ( n = 13 including the reference genome) were also incorporated into the analyses alongside a hairy-nosed otter ( l sumatrana ky117556) sequence as an outgroup ( table 1 ). newly generated unique haplotype data are deposited to ncbi nucleotide database (or633269-86 and bk064833-bk064835) and all whole mitochondrial genome sequences analysed in this study can be found on github ( https://github com/sduplessis1/eurasianotter_popgen ) alongside the bioinformatic code used for all analyses."
"newly generated unique haplotype data are deposited to ncbi nucleotide database (or633269-86 and bk064833-bk064835) and all whole mitochondrial genome sequences analysed in this study can be found on github ( https://github com/sduplessis1/eurasianotter_popgen ) alongside the bioinformatic code used for all analyses."
"S.J.d.P. was supported by the UK Natural Environment Research Council through the GW4+ Doctoral Training Partnership (award reference: 2194854) and the collaboration with K.-P.K. enabled by the Global Wales International Mobility Fund (award: UNIW/RMF-CU/16). We would like to thank all present and past Cardiff University Otter Project staff and volunteers, and we thank Natural Resources Wales, the Environment Agency, and the International Otter Survival Fund, for the collection, storage, and transport of otters from across Britain. Otter 3329 was collected fresh via the rapid response of Somerset Otter Group and used to generate the reference genome. Sequencing was conducted by the DToL program at the Wellcome Sanger Institute, for which we are hugely grateful. The bioinformatic analyses were performed on the Cardiff School of Biosciences’ Biocomputing Hub HPC/Cloud infrastructure, and we are immensely thankful to Dr Ian Merrick and Andy Ells for their support. We also thank Dr Matthieu Muffato (Wellcome Sanger) for bioinformatic support and Dr Paul Chanin and Jason Palmer for feedback on the manuscript. In addition, we thank Dr Nia Thomas for providing the collated survey data and the suggestion of, and extensive discussions around, the GONE analyses. We also acknowledge the insightful comments by the anonymous reviewers."
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