Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Liverpool, CH64 7TE, United Kingdom.
Animal & Veterinary Sciences, SRUC, Roslin Institute Building, Easter Bush, Midlothian, EH25 9RG, United Kingdom.
J Dairy Sci. 2022 Oct;105(10):8237-8256. doi: 10.3168/jds.2022-22035. Epub 2022 Aug 24.
The digital cushion is linked to the development of claw horn lesions (CHL) in dairy cattle. The objectives of this study were to (1) estimate genetic parameters for digital cushion thickness (DCT), (2) estimate the genetic correlation between DCT and CHL, and (3) identify candidate genes associated with DCT. A cohort of 2,352 Holstein dairy cows were prospectively enrolled on 4 farms and assessed at 4 time points: before calving, immediately after calving, in early lactation, and in late lactation. At each time point, CHL was recorded by veterinary surgeons, and ultrasonographic images of the digital cushion were stored and retrospectively measured at 2 anatomical locations. Animals were genotyped and pedigree details extracted from the national database. Genetic parameters were estimated following a single-step approach implemented in AIREMLF90. Four traits were analyzed: the 2 DCT measurements, sole lesions (sole hemorrhage and sole ulcers), and white line lesions. All traits were analyzed with univariate linear mixed models; bivariate models were fit to estimate the genetic correlation between traits within and between time points. Single-marker and window-based genome-wide association analyses of DCT traits were conducted at each time point; candidate genes were mapped near (<0.2 Mb) or within the genomic markers or windows with the largest effects. Heritability estimates of DCT ranged from 0.14 to 0.44 depending on the location of DCT measurement and assessment time point. The genetic correlation between DCT and sole lesions was generally negative, notably between DCT immediately after calving and sole lesions in early or late lactation, and between DCT in early or late lactation and sole lesion severity in early or late lactation. Digital cushion thickness was not genetically correlated with white line lesions. A polygenic background to DCT was found; genes associated with inflammation, fat metabolism, and bone development were mapped near or within the top markers and windows. The moderate heritability of DCT provides an opportunity to use selective breeding to change DCT in a population. The negative genetic correlation between DCT and sole lesions at different stages of production lends support to current hypotheses of sole lesion pathogenesis. Highlighted candidate genes provide information regarding the complex genetic background of DCT in Holstein cows, but further studies are needed to explore and corroborate these findings.
数字垫与奶牛的爪形角病变(CHL)的发展有关。本研究的目的是:(1)估计数字垫厚度(DCT)的遗传参数;(2)估计 DCT 与 CHL 之间的遗传相关性;(3)鉴定与 DCT 相关的候选基因。一个荷斯坦奶牛队列前瞻性地在 4 个农场入组,并在 4 个时间点进行评估:产前、产后即刻、泌乳早期和泌乳晚期。在每个时间点,兽医记录 CHL,并存储数字垫的超声图像,并在 2 个解剖位置进行回顾性测量。对动物进行基因分型,并从国家数据库中提取系谱详细信息。使用 AIREMLF90 中的单步方法估计遗传参数。分析了 4 个性状:2 个 DCT 测量值、鞋底病变(鞋底出血和鞋底溃疡)和白线病变。所有性状均采用单变量线性混合模型进行分析;双变量模型用于估计性状之间和时间点内的遗传相关性。在每个时间点对 DCT 性状进行单标记和基于窗口的全基因组关联分析;候选基因映射到(<0.2 Mb)或基因组标记或窗口内具有最大效应的附近。DCT 的遗传力估计值因 DCT 测量位置和评估时间点而异,范围从 0.14 到 0.44。DCT 与鞋底病变之间的遗传相关性通常为负相关,尤其是在产后即刻的 DCT 与泌乳早期或晚期的鞋底病变之间,以及泌乳早期或晚期的 DCT 与泌乳早期或晚期的鞋底病变严重程度之间。DCT 与白线病变之间没有遗传相关性。发现 DCT 具有多基因背景;与炎症、脂肪代谢和骨骼发育相关的基因被映射到标记物和窗口的附近或内部。DCT 的中度遗传力为通过选择性繁殖改变群体中的 DCT 提供了机会。不同生产阶段 DCT 与鞋底病变之间的负遗传相关性支持鞋底病变发病机制的当前假设。突出的候选基因提供了有关荷斯坦奶牛 DCT 复杂遗传背景的信息,但需要进一步研究来探索和证实这些发现。