Semantic Scholar Open Access 2017 218 sitasi

The genome landscape of indigenous African cattle

Jaemin Kim O. Hanotte O. Mwai T. Dessie S. Bashir +18 lainnya

Abstrak

BackgroundThe 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.ResultsWe 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.ConclusionsOur 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.

Topik & Kata Kunci

Penulis (23)

J

Jaemin Kim

O

O. Hanotte

O

O. Mwai

T

T. Dessie

S

S. Bashir

B

B. Diallo

M

M. Agaba

K

Kwondo Kim

W

Woori Kwak

S

Samsun Sung

M

Minseok Seo

H

Hyeonsoo Jeong

T

Taehyung Kwon

M

Mengistie Taye

K

K. Song

D

D. Lim

S

Seoae Cho

H

H. Lee

D

D. Yoon

S

Sung-Jong Oh

S

S. Kemp

H

H. Lee

H

Heebal Kim

Format Sitasi

Kim, J., Hanotte, O., Mwai, O., Dessie, T., Bashir, S., Diallo, B. et al. (2017). The genome landscape of indigenous African cattle. https://doi.org/10.1186/s13059-017-1153-y

Akses Cepat

Lihat di Sumber doi.org/10.1186/s13059-017-1153-y
Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
218×
Sumber Database
Semantic Scholar
DOI
10.1186/s13059-017-1153-y
Akses
Open Access ✓