Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Highly Accessed Research article

A whole genome Bayesian scan for adaptive genetic divergence in West African cattle

Mathieu Gautier1*, Laurence Flori1, Andrea Riebler2, Florence Jaffrézic1, Denis Laloé1, Ivo Gut3, Katayoun Moazami-Goudarzi1 and Jean-Louis Foulley1

Author Affiliations

1 INRA, UMR de Génétique Animale et Biologie Intégrative, 78350 Jouy-en-Josas, France

2 University of Zurich, Institute of Social and Preventive Medicine, Zurich, Switzerland

3 CEA, Centre National de Génotypage, 91057 Evry, France

For all author emails, please log on.

BMC Genomics 2009, 10:550  doi:10.1186/1471-2164-10-550

Published: 21 November 2009

Abstract

Background

The recent settlement of cattle in West Africa after several waves of migration from remote centres of domestication has imposed dramatic changes in their environmental conditions, in particular through exposure to new pathogens. West African cattle populations thus represent an appealing model to unravel the genome response to adaptation to tropical conditions. The purpose of this study was to identify footprints of adaptive selection at the whole genome level in a newly collected data set comprising 36,320 SNPs genotyped in 9 West African cattle populations.

Results

After a detailed analysis of population structure, we performed a scan for SNP differentiation via a previously proposed Bayesian procedure including extensions to improve the detection of loci under selection. Based on these results we identified 53 genomic regions and 42 strong candidate genes. Their physiological functions were mainly related to immune response (MHC region which was found under strong balancing selection, CD79A, CXCR4, DLK1, RFX3, SEMA4A, TICAM1 and TRIM21), nervous system (NEUROD6, OLFM2, MAGI1, SEMA4A and HTR4) and skin and hair properties (EDNRB, TRSP1 and KRTAP8-1).

Conclusion

The main possible underlying selective pressures may be related to climatic conditions but also to the host response to pathogens such as Trypanosoma(sp). Overall, these results might open the way towards the identification of important variants involved in adaptation to tropical conditions and in particular to resistance to tropical infectious diseases.