Mapping expression quantitative trait loci targeting candidate genes for pregnancy in beef cows

Authors: DINIZ, WELLISON - Auburn University; AFONSO, JULIANA - Embrapa; KERTZ, NICHOLAS - Auburn University; DYCE, PAUL - Auburn University; BANERJEE, PRIYANKA - Auburn University

Submitted to: Biomolecules
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/24/2024
Publication Date: 1/26/2024
Citation: Diniz, W.J., Afonso, J., Kertz, N., Dyce, P.W., Banerjee, P. 2024. Mapping expression quantitative trait loci targeting candidate genes for pregnancy in beef cows. Biomolecules. 14(2):150. https://doi.org/10.3390/biom14020150.
DOI: https://doi.org/10.3390/biom14020150

Interpretive Summary: Despite collective efforts to understand the complex regulation of reproductive traits, no causative genes and/or mutations have been reported yet. By integrating genomics and transcriptomics data, potential regulatory mechanisms may be unveiled, providing opportunities to dissect the genetic factors governing fertility. This study identified regulatory variants from RNA-Seq data associated with gene expression regulation in the uterine luminal epithelial cells of beef cows. This study provides novel insights into the genetic basis of reproductive processes in cattle. The underlying causal mechanisms modulating the expression of uterine genes warrant further investigation.

Technical Abstract: Despite collective efforts to understand the complex regulation of reproductive traits, no causative genes and/or mutations have been reported yet. By integrating genomics and transcriptomics data, potential regulatory mechanisms may be unveiled, providing opportunities to dissect the genetic factors governing fertility. Herein, we identified regulatory variants from RNA-Seq data associated with gene expression regulation in the uterine luminal epithelial cells of beef cows. We identified 4676 cis and 7682 trans eQTLs (expression quantitative trait loci) affecting the expression of 1120 and 2503 genes, respectively (FDR < 0.05). These variants affected the expression of transcription factor coding genes (71 cis and 193 trans eQTLs) and genes previously reported as differentially expressed between pregnant and nonpregnant cows. Functional over-representation analysis highlighted pathways related to metabolism, immune response, and hormone signaling (estrogen and GnRH) affected by eQTL-regulated genes (p-value = 0.01). Furthermore, eQTLs were enriched in QTL regions for 13 reproduction-related traits from the CattleQTLdb (FDR = 0.05). Our study provides novel insights into the genetic basis of reproductive processes in cattle. The underlying causal mechanisms modulating the expression of uterine genes warrant further investigation.