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

Juliane Friedrich*, Shuli Liu, Lingzhao Fang, James Prendergast, Pam Wiener

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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 underlying functional candidate genes. In general, the trait-association analyses of selection signatures suggest the innate and adaptive immune system and production traits as important selection targets. For example, a large genomic region, with selection signatures identified for all breeds except N’Dama, was located on BTA27, including multiple defensin DEFB coding-genes. Out of 22 analysed tissues, genes under putative selection were significantly enriched for those overexpressed in adipose tissue, blood, lung, testis and uterus. Our results further suggest that cis-eQTL are themselves selection targets; for most tissues, we found a positive correlation between allele frequency differences and cis-eQTL effect size, suggesting that positive selection acts directly on regulatory variants.
Conclusions
By combining selection signatures with information on gene expression and QTL, we were able to reveal compelling candidate selection targets that did not stand out from selection signature results alone (e.g. GIMAP8 for tick resistance and NDUFS3 for heat adaptation). Insights from this study will help to inform breeding and maintain diversity of locally adapted, and hence important, breeds.
Original languageEnglish
Article number981
Pages (from-to)1-16
Number of pages16
JournalBMC Genomics
Volume25
Issue number1
Early online date19 Oct 2024
DOIs
Publication statusPublished - Dec 2024

Keywords / Materials (for Non-textual outputs)

  • iHS
  • QTL
  • gene expression
  • environmental adaptation
  • Cattle GTEx

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