Data from: Variation in follicle-stimulating hormone receptor (FSHR) expression is associated with the twinning rate QTL located on bovine chromosome 11 in Holstein cattle
Data files
Mar 12, 2026 version files 16.50 KB
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Dryad_FSHR_LHCGR_qPCR.xlsx
15.11 KB
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README.md
1.39 KB
Abstract
Twin births in dairy cattle present challenges for producers, resulting in increased prevalence of health issues for both cows and calves, thereby impacting profitability. Genome-wide association study (GWAS) analyses of twinning rate in Holstein cattle have reported the most significant genomic association with twinning rate in a region containing two strong candidate genes, follicle-stimulating hormone receptor (FSHR) and luteinizing hormone chorionic gonadotropin receptor (LHCGR). Coding-sequence variants of these genes were not associated with twinning rate, suggesting that one of the two genes is differentially expressed in association with twinning rate. Granulosa cells were collected from 41 Holstein cows selected to provide similar representation of genotypes for the twinning rate quantitative trait locus (QTL). RNA was extracted from granulosa cells and gene expression was assessed by quantitative PCR with data analyzed by the ΔΔCT method. QTL genotype was significantly associated with expression of FSHR but was not associated with LHCGR expression. Increased FSHR expression was associated with increasing copy number of the G allele and thus increased twinning rate.
Data are provided as a spreadsheet including quantitative PCR cycle threshold (Ct) values for target genes, FSHR and LHCGR, and reference gene, SF3A1. Imputed SNP genotypes ("CC", "CG" or "GG") for the chromosome 11 twinning rate QTL are provided for each sample.
Dataset DOI: 10.5061/dryad.cvdncjthx
Description of the data and file structure
Granulosa cells from dominant follicles were collected for RNA extraction and gene expression analysis by quantitative PCR (qPCR) for genes FSHR and LHCGR. All sampled animals were mature Holstein cows. The qPCR assay was performed using a TaqMan assay with target gene and reference gene (SF3A1) co-amplified in the same reaction. Data were analyzed using the delta-delta Ct method.
Files and variables
File: Dryad_FSHR_LHCGR_qPCR.xlsx
Description:
Variables
- target: target gene, FSHR or LHCGR
- sample: animal within-herd ID
- qtl_geno: genotype for the SNP with strongest association with twinning rate in GWAS
- ct_FSHR: cycle threshold number for target gene, FSHR, in qPCR
- ct_LHCGR: cycle threshold number for target gene, LHCGR, in qPCR
- ct_SF3A1: cycle threshold number for housekeeping (reference gene), SF3A1, in qPCR
- delta_ct: target gene Ct minus reference gene Ct
- two^-delta_ct: target gene expression relative to reference gene normalized by 2 to the minus delta Ct
Code/software
Data can be viewed using Microsoft Excel software.
Cows sampled underwent estrus synchronization for the first insemination following calving using a Double-Ovsynch protocol [21]. Six days after timed artificial insemination (TAI), a dose of gonadotropin-releasing hormone (GnRH) was administered to the cows to induce the luteinization of dominant follicle(s) from the first follicular wave following breeding and initiate a new follicular wave by release of follicle-stimulating hormone (FSH). Consequently, dominant follicle(s) from the new follicular wave developed in a hormonal background of higher progesterone levels, mimicking follicular development during the ovulatory follicular wave. Dominant follicles were aspirated seven days after GnRH administration to collect granulosa cells for RNA extraction and subsequent gene expression analyses. RNAlater was added to the cell pellet (granulosa cells) to preserve RNA. qPCR data were analyzed using the ΔΔCT method to quantify relative expression of FSHR and LHCGR normalized to the reference gene SF3A1 and to calculate fold‑change differences among QTL genotypes. ΔCT values were linearly transformed (2-ΔCT) to generate gene expression values for statistical analyses. Differences among twinning QTL genotypes (CC, CG, GG) were assessed using the Kruskal–Wallis test. Fold‑change values were computed as the ratio of mean expression between genotypes.
