Title |
The genome landscape of indigenous African cattle
|
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Published in |
Genome Biology, February 2017
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DOI | 10.1186/s13059-017-1153-y |
Pubmed ID | |
Authors |
Jaemin Kim, Olivier Hanotte, Okeyo Ally Mwai, Tadelle Dessie, Salim Bashir, Boubacar Diallo, Morris Agaba, Kwondo Kim, Woori Kwak, Samsun Sung, Minseok Seo, Hyeonsoo Jeong, Taehyung Kwon, Mengistie Taye, Ki-Duk Song, Dajeong Lim, Seoae Cho, Hyun-Jeong Lee, Duhak Yoon, Sung Jong Oh, Stephen Kemp, Hak-Kyo Lee, Heebal Kim |
Abstract |
The history of African indigenous cattle and their adaptation to environmental and human selection pressure is at the root of their remarkable diversity. Characterization of this diversity is an essential step towards understanding the genomic basis of productivity and adaptation to survival under African farming systems. We analyze patterns of African cattle genetic variation by sequencing 48 genomes from five indigenous populations and comparing them to the genomes of 53 commercial taurine breeds. We find the highest genetic diversity among African zebu and sanga cattle. Our search for genomic regions under selection reveals signatures of selection for environmental adaptive traits. In particular, we identify signatures of selection including genes and/or pathways controlling anemia and feeding behavior in the trypanotolerant N'Dama, coat color and horn development in Ankole, and heat tolerance and tick resistance across African cattle especially in zebu breeds. Our findings unravel at the genome-wide level, the unique adaptive diversity of African cattle while emphasizing the opportunities for sustainable improvement of livestock productivity on the continent. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 23% |
United Kingdom | 3 | 23% |
Germany | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 54% |
Scientists | 5 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Finland | 1 | <1% |
Unknown | 212 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 43 | 20% |
Student > Ph. D. Student | 32 | 15% |
Student > Master | 26 | 12% |
Student > Bachelor | 13 | 6% |
Student > Doctoral Student | 11 | 5% |
Other | 33 | 15% |
Unknown | 55 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 86 | 40% |
Biochemistry, Genetics and Molecular Biology | 31 | 15% |
Veterinary Science and Veterinary Medicine | 14 | 7% |
Medicine and Dentistry | 5 | 2% |
Environmental Science | 4 | 2% |
Other | 14 | 7% |
Unknown | 59 | 28% |