Zhang Junxing, Han Liyun, Sheng Hui, Zhang Hailiang, Brito Luiz F, Li Shanshan, Ji Guoshang, Dan Xingang, Cai Bei, Hu Yamei, Wang Yachun, Ma Yun
Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, State Key Laboratory of Farm Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin 300392, China.
Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Ningxia Nongken Dairy Industry Co. Ltd., Yinchuan 750000, China.
J Dairy Sci. 2025 Jun;108(6):6077-6098. doi: 10.3168/jds.2024-25637. Epub 2025 Mar 4.
A healthy uterine environment is essential for establishing and maintaining pregnancy and normal embryo development after insemination. In this context, the primary objectives of this study were to assess the genetic background of vaginal discharge score (VDS) traits during the voluntary waiting period in Holstein cows and to identify genomic regions and candidate genes influencing postpartum uterine health based on the integration of phenotypic, genomic, and transcriptomic datasets. Genetic parameters of 5 VDS traits defined according to lactation stage (VDS1, VDS2, VDS3, VDS4, and VDS5) were estimated based on VDS records from 64,241 Holstein cows that calved between 2019 and 2023 and genomic information from 2,489 cows. The GWAS were performed aiming to identify genomic regions associated with VDS traits. Differentially expressed genes and modular genes were obtained through RNA sequencing (RNA-seq) data of uterine secretion from 6 healthy and 6 diseased cows. The VDS traits had low-h estimates ranging from 0.006 ± 0.002 to 0.081 ± 0.011. Among the VDS traits, there were relatively strong genetic correlations between VDS1 (0-14 DIM) and metritis (0.678-0.763), as well as VDS3 (29-55 DIM) and endometritis (0.579-0.628). A total of 190 genes harboring 32 significant SNPs were identified as candidate genes regulating VDS in primiparous cows. The candidate genes identified were significantly enriched for pathways involved in cytokine-cytokine receptor interaction, mitogen-activated protein kinase signaling, and oxytocin signaling. Based on RNA-seq data of uterine secretions, 2,803 differentially expressed genes and 3,570 modular genes were identified. Furthermore, 7 genes were identified based on GWAS, differential gene expression, and weighted gene coexpression network analysis. The VSTM1, IL10RA, FXYD5, C2CD5, CETN4, ALS2CL, and PBX1 genes were considered to be the most promising candidate genes influencing postpartum uterine health in Holstein cows. This study provides novel insights on the genetic background of postpartum uterine health in Holstein cows. The results obtained can contribute to further refinements of selection indexes for improving uterine health and fertility in dairy cattle.
健康的子宫环境对于授精后建立和维持妊娠以及胚胎正常发育至关重要。在此背景下,本研究的主要目标是评估荷斯坦奶牛自愿等待期阴道分泌物评分(VDS)性状的遗传背景,并基于表型、基因组和转录组数据集的整合,识别影响产后子宫健康的基因组区域和候选基因。根据2019年至2023年期间产犊的64241头荷斯坦奶牛的VDS记录以及2489头奶牛的基因组信息,估计了根据泌乳阶段定义的5个VDS性状(VDS1、VDS2、VDS3、VDS4和VDS5)的遗传参数。进行全基因组关联研究(GWAS)旨在识别与VDS性状相关的基因组区域。通过对6头健康奶牛和6头患病奶牛子宫分泌物的RNA测序(RNA-seq)数据获得差异表达基因和模块基因。VDS性状的遗传力估计值较低,范围为0.00六年级语文上册第一单元作文6±0.002至0.081±0.011。在VDS性状中,VDS1(0至14天产犊间隔)与子宫炎之间(0.678至0.763)以及VDS3(29至55天产犊间隔)与子宫内膜炎之间(0.579至0.628)存在相对较强的遗传相关性。总共190个携带32个显著单核苷酸多态性(SNP)的基因被鉴定为初产奶牛中调节VDS的候选基因。鉴定出的候选基因在细胞因子-细胞因子受体相互作用、丝裂原活化蛋白激酶信号传导和催产素信号传导相关途径中显著富集。基于子宫分泌物的RNA-seq数据,鉴定出2803个差异表达基因和3570个模块基因。此外,基于GWAS、差异基因表达和加权基因共表达网络分析鉴定出7个基因。VSTM1、IL10RA、FXYD5、C2CD5、CETN4、ALS2CL和PBX1基因被认为是影响荷斯坦奶牛产后子宫健康的最有前景的候选基因。本研究为荷斯坦奶牛产后子宫健康的遗传背景提供了新的见解。获得的结果有助于进一步完善选择指数,以提高奶牛的子宫健康和繁殖力。