| Accession |
PRJCA004338 |
| Title |
Genome-wide investigations reveal the population structure and selection signatures of Nigerian cattle adaptation in the sub-Saharan tropics |
| Relevance |
Evolution |
| Data types |
Raw sequence reads
|
| Organisms |
Bos indicus
|
| Description |
Cattle are considered to be the most desirable livestock by small scale farmers. In Africa, although comprehensive genomic studies have been carried out on cattle, the genetic variations in indigenous cattle from Nigeria have not been fully explored. In this study, genome-wide analysis based on genotyping by sequencing of 193 Nigerian cattle was used to reveal new insights on the history of West African cattle and their adaptation to the tropical African environment, particularly in sub-Saharan region. The GBS data was evaluated against whole-genome sequencing data and high rate of concordances between the two platforms was evident. The genetic structure of Nigerian cattle was observed to be homogenous and unique from other African cattle populations. Selection analysis for the genomic regions harboring imprints of adaptive traits revealed genes associated with immune responses, growth and reproduction, efficiency of feeds utilization, and heat tolerance. Our findings depict potential convergent evolution between African cattle, dogs and humans with adaptive genes possibly involved in common physiological activities. The study presents unique genetic patterns of Nigerian cattle which provides new insights on the history of cattle in West Africa based on their population structure and the evidence of parallel adaptation between African cattle, dogs and humans in Africa which require further investigations. |
| Sample scope |
Monoisolate |
| Release date |
2022-11-11 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 35428239
|
Genome-wide investigations reveal the population structure and selection signatures of Nigerian cattle adaptation in the sub-Saharan tropics
|
BMC Genomics
|
10.1186/s12864-022-08512-w
|
2022
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Chinese Academy of Sciences (CAS)
|
|
SAJC201611
|
|
|
|
| Submitter |
Adeniyi
Charles
Adeola (chadeola@mail.kiz.ac.cn)
|
| Organization |
Kunming Institute of Zoology, Chinese Academy of Sciences |
| Submission date |
2021-01-23 |
