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Mapping Expression Quantitative Trait Loci Targeting Candidate Genes for Pregnancy in Beef Cows
Wellison J S Diniz1, Juliana Afonso2, Nicholas C Kertz1
1Department of Animal Sciences, Auburn University, Auburn, AL 36849, USA.
Biomolecules
|February 24, 2024
Summary
Researchers identified genetic variants regulating gene expression in beef cow uterine cells. These expression quantitative trait loci (eQTLs) offer insights into the genetic underpinnings of fertility and reproductive traits in cattle.
Area of Science:
- Animal Genomics
- Reproductive Biology
- Gene Expression Regulation
Background:
- Understanding the genetic basis of reproductive traits is crucial for improving cattle fertility.
- Previous studies have not identified specific causative genes or mutations for complex reproductive traits.
Purpose of the Study:
- To identify regulatory genetic variants influencing gene expression in beef cow uterine luminal epithelial cells.
- To explore the genetic factors governing fertility by integrating genomics and transcriptomics data.
Main Methods:
- Utilized RNA-Seq data to identify expression quantitative trait loci (eQTLs) in beef cows.
- Analyzed cis and trans eQTLs affecting gene expression, focusing on transcription factors and differentially expressed genes.
- Performed functional over-representation analysis and enrichment analysis with CattleQTLdb.
Main Results:
- Identified 4676 cis and 7682 trans eQTLs impacting 1120 and 2503 genes, respectively.
- Found eQTLs associated with transcription factor genes and genes previously linked to pregnancy status.
- Highlighted pathways in metabolism, immune response, and hormone signaling (estrogen, GnRH) regulated by eQTLs.
- Observed enrichment of eQTLs in quantitative trait loci (QTL) regions for 13 reproductive traits.
Conclusions:
- This study reveals novel insights into the genetic architecture of reproductive processes in cattle.
- Identified regulatory variants and pathways provide a foundation for further investigation into the causal mechanisms of uterine gene expression and fertility.
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