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The genome sequence of the wisent (Bison bonasus)

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Abbott_2017_GigaSci_Wisent_CC.pdf (177.1Kb)
Date
04/2017
Author
Wang, Kun
Wang, Lizhong
Lenstra, Johannes A.
Jian, Jianbo
Yang, Yongzhi
Hu, Quanjun
Lai, Deyong
Qiu, Qiang
Ma, Tao
Du, Zheng
Abbott, Richard
Liu, Jianquan
Keywords
Wisent
Bovini tribe
Genome assembly
QH301 Biology
DAS
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Abstract
The wisent, also known as the European bison, was rescued from extinction approximately 80 years ago through the conservation of 12 individuals. Here, we present the draft genome sequence of a male wisent individual descended from this founding stock. A total of 366 billion base pairs (Gb) of raw reads from whole-genome sequencing of this wisent were generated using the Illumina HiSeq2000 platform. The final genome assembly (2.58 Gb) is composed of 29,074 scaffolds with an N50 of 4.7 Mb. 47.3% of the genome is composed of repetitive elements. We identified 21,542 genes and 58,385 non-coding RNAs. A phylogenetic tree based on nuclear genomes indicated sister relationships between bison and wisent and between the wisent-bison clade and yak. For 75 genes we obtained evidence of positive evolution in the wisent lineage. We provide the first genome sequence and gene annotation for the wisent. The availability of these resources will be of value for the future conservation of this endangered large mammal and for reconstructing the evolutionary history of the Bovini tribe.
Citation
Wang , K , Wang , L , Lenstra , J A , Jian , J , Yang , Y , Hu , Q , Lai , D , Qiu , Q , Ma , T , Du , Z , Abbott , R & Liu , J 2017 , ' The genome sequence of the wisent ( Bison bonasus ) ' , GigaScience , vol. 6 , no. 4 , pp. 1-5 . https://doi.org/10.1093/gigascience/gix016
Publication
GigaScience
Status
Peer reviewed
DOI
https://doi.org/10.1093/gigascience/gix016
ISSN
2047-217X
Type
Journal article
Rights
© The Author(s) 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Description
This work was supported by the Youth Science and Technology Innovation Team of Sichuan Province (2014TD003), Shenzhen Industrial Designation Services Cloud Platform (GGJS20150429172906635), International Collaboration 111 Projects of China, Fundamental Research Funds for the Central Universities, 985 and 211 Projects of Sichuan University.
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  • University of St Andrews Research
URL
https://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/gix016#supplementary-data
URI
http://hdl.handle.net/10023/11164

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