Mapping Expression Quantitative Trait Loci Targeting Candidate Genes for Pregnancy in Beef Cows.
Wellison Jarles Da Silva DinizJuliano AfonsoNicholas C KertzPaul William DycePriyanka BanerjeePublished in: Biomolecules (2024)
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.
Keyphrases
- genome wide
- dna methylation
- poor prognosis
- copy number
- transcription factor
- gene expression
- genome wide identification
- immune response
- rna seq
- bioinformatics analysis
- high resolution
- long non coding rna
- signaling pathway
- inflammatory response
- electronic health record
- drug delivery
- machine learning
- cancer therapy
- estrogen receptor
- artificial intelligence
- dna binding