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Dataset Information

Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle.


ABSTRACT:

Background

African cattle represent a unique resource of genetic diversity in response to adaptation to numerous environmental challenges. Characterising the genetic landscape of indigenous African cattle and identifying genomic regions and genes of functional importance can contribute to targeted breeding and tackle the loss of genetic diversity. However, pinpointing the adaptive variant and determining underlying functional mechanisms of adaptation remains challenging.

Results

In this study, we use selection signatures from whole-genome sequence data of eight indigenous African cattle breeds in combination with gene expression and quantitative trait loci (QTL) databases to characterise genomic targets of artificial selection and environmental adaptation and to identify the

SUBMITTER: Friedrich J 

PROVIDER: S-EPMC11490109 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature