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Whole Genome Mapping Reveals Novel Genes and Pathways Involved in Milk Production Under Heat Stress in US Holstein Cows

机译:全基因组图谱揭示了美国荷斯坦奶牛在热胁迫下产奶中涉及的新基因和途径

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摘要

Heat stress represents a major environmental factor that negatively affects the health and performance of dairy cows, causing huge economic losses to the dairy industry. Identifying and selecting animals that are thermotolerant is an attractive alternative for reducing the negative effects of heat stress on dairy cattle performance. As such, the objectives of the present study were to estimate genetic components of milk yield, fat yield, and protein yield considering heat stress and to perform whole-genome scans and a subsequent gene-set analysis for identifying candidate genes and functional gene-sets implicated in milk production under heat stress conditions. Data consisted of about 254k test-day records from 17,522 Holstein cows. Multi-trait repeatability test day models with random regressions on a function of temperature-humidity index (THI) values were used for genetic analyses. The models included herd-test-day and DIM classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, thermotolerance additive genetic variances for all milk traits increased across parities suggesting that cows become more sensitive to heat stress as they age. In addition, our study revealed negative genetic correlations between general and thermotolerance additive effects, ranging between −0.18 to −0.68 indicating that high producing cows are more susceptible to heat stress. The association analysis identified at least three different genomic regions on BTA5, BTA14, and BTA15 strongly associated with milk production under heat stress conditions. These regions harbor candidate genes, such as HSF1, MAPK8IP1, and CDKN1B that are directly involved in the cellular response to heat stress. Moreover, the gene-set analysis revealed several functional terms related to heat shock proteins, apoptosis, immune response, and oxidative stress, among others. Overall, the genes and pathways identified in this study provide a better understanding of the genetic architecture underlying dairy cow performance under heat stress conditions. Our findings point out novel opportunities for improving thermotolerance in dairy cattle through marker-assisted breeding.
机译:热应激是一个主要的环境因素,会对奶牛的健康和性能产生负面影响,给奶业造成巨大的经济损失。鉴定和选择耐热的动物是减少热应激对奶牛生产性能的负面影响的一种有吸引力的选择。因此,本研究的目的是在考虑热应激的情况下估算牛奶产量,脂肪产量和蛋白质产量的遗传成分,并进行全基因组扫描和随后的基因组分析,以鉴定候选基因和功能基因组与热应激条件下的牛奶生产有关。数据包括来自17,522头荷斯坦奶牛的约25.4万个测试日记录。具有温度-湿度指数(THI)值函数的随机回归的多特征重复性测试日模型用于遗传分析。该模型包括成群试验日和DIM类作为固定效应,以及一般和耐热性加成遗传和永久环境作为随机效应。值得注意的是,所有产奶性状的耐热性加性遗传方差在各个胎次之间均增加,这表明随着年龄的增长,母牛对热应激变得更加敏感。此外,我们的研究揭示了一般性和耐热性加性效应之间的负遗传相关性,介于-0.18至-0.68之间,表明高产奶牛更容易受到热应激。关联分析确定了BTA5,BTA14和BTA15上的至少三个不同的基因组区域,它们与热应激条件下的产奶量密切相关。这些区域包含候选基因,例如HSF1,MAPK8IP1和CDKN1B,它们直接参与细胞对热应激的反应。此外,基因组分析揭示了与热休克蛋白,细胞凋亡,免疫反应和氧化应激等相关的几个功能性术语。总体而言,本研究中鉴定的基因和途径提供了对热应激条件下奶牛表现的遗传结构的更好理解。我们的发现指出了通过标记辅助育种提高奶牛耐热性的新机会。

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