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The genome landscape of indigenous African cattle

Authors :
Kim, Jaemin
Hanotte, Olivier
Okeyo, Ally Mwai
Dessie, Tadelle
Bashir, Salim
Diallo, Boubacar
Agaba, Morris
Kim, Kwondo
Kwak, Woori
Sung, Samsun
Seo, Minseok
Jeong, Hyeonsoo
Taehyung, Kwon
Taye, Mengistie
Song, Ki-Duk
Lim, Dajeong
Cho, Seoae
Lee, Hyun-Jeong
Yoon, Duhak
Oh, Sung Jong
Kemp, Stephen
Lee, Hak-Kyo
Kim, Heebal
Kim, Jaemin
Hanotte, Olivier
Okeyo, Ally Mwai
Dessie, Tadelle
Bashir, Salim
Diallo, Boubacar
Agaba, Morris
Kim, Kwondo
Kwak, Woori
Sung, Samsun
Seo, Minseok
Jeong, Hyeonsoo
Taehyung, Kwon
Taye, Mengistie
Song, Ki-Duk
Lim, Dajeong
Cho, Seoae
Lee, Hyun-Jeong
Yoon, Duhak
Oh, Sung Jong
Kemp, Stephen
Lee, Hak-Kyo
Kim, Heebal

Abstract

Background: 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. Results: 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. Conclusions: 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.

Details

Database :
OAIster
Notes :
doi:10.1186/s13059-017-1153-y
Publication Type :
Electronic Resource
Accession number :
edsoai.on1312904699
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1186.s13059-017-1153-y