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Genomic analysis of Ugandan and Rwandan chicken ecotypes using a 600 k genotyping array.


ABSTRACT: Indigenous populations of animals have developed unique adaptations to their local environments, which may include factors such as response to thermal stress, drought, pathogens and suboptimal nutrition. The survival and subsequent evolution within these local environments can be the result of both natural and artificial selection driving the acquisition of favorable traits, which over time leave genomic signatures in a population. This study's goals are to characterize genomic diversity and identify selection signatures in chickens from equatorial Africa to identify genomic regions that may confer adaptive advantages of these ecotypes to their environments.Indigenous chickens from Uganda (n?=?72) and Rwanda (n?=?100), plus Kuroilers (n?=?24, an Indian breed imported to Africa), were genotyped using the Axiom® 600 k Chicken Genotyping Array. Indigenous ecotypes were defined based upon location of sampling within Africa. The results revealed the presence of admixture among the Ugandan, Rwandan, and Kuroiler populations. Genes within runs of homozygosity consensus regions are linked to gene ontology (GO) terms related to lipid metabolism, immune functions and stress-mediated responses (FDR?

SUBMITTER: Fleming DS 

PROVIDER: S-EPMC4882793 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Genomic analysis of Ugandan and Rwandan chicken ecotypes using a 600 k genotyping array.

Fleming D S DS   Koltes J E JE   Markey A D AD   Schmidt C J CJ   Ashwell C M CM   Rothschild M F MF   Persia M E ME   Reecy J M JM   Lamont S J SJ  

BMC genomics 20160526


<h4>Background</h4>Indigenous populations of animals have developed unique adaptations to their local environments, which may include factors such as response to thermal stress, drought, pathogens and suboptimal nutrition. The survival and subsequent evolution within these local environments can be the result of both natural and artificial selection driving the acquisition of favorable traits, which over time leave genomic signatures in a population. This study's goals are to characterize genomi  ...[more]

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