利用 SNP 芯片数据和推算的序列水平基因型对荷斯坦牛繁殖性状进行遗传和基因组分析

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Leopold Schwarz, Ana-Marija Križanac, Helen Schneider, Clemens Falker-Gieske, Johannes Heise, Zengting Liu, Jörn Bennewitz, Georg Thaller, Jens Tetens
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引用次数: 0

摘要

繁殖性能对动物福利、健康以及畜牧业和育种业的盈利能力起着重要作用。奶牛的繁殖性能与繁殖力之间存在负相关,这一点已得到公认。育种计划中越来越多地考虑到这种关系。通过阐明基本繁殖性状的遗传结构,将有可能对此做出更详细的贡献。我们的研究采用了两种方法来阐明这一领域:第一部分是对 14 个不同的产犊和繁殖力性状进行方差分析,然后对 13 个繁殖力性状的估算序列级基因型进行全基因组关联研究,并随后进行富集分析。变异成分分析表明,所分析性状的遗传率(h2)从低到中度不等,从子宫内膜炎的 0.014 到死胎的 0.271,表明繁殖性状内部存在不同程度的变异。在全基因组关联研究方面,经过对 6 号染色体、18 号染色体和 X 染色体进行 Bonferroni 校正后,我们能够检测到 13 个分析性状中 9 个性状的全基因组显著关联信号。利用估算的全基因组序列数据,我们总共检测到了 2700 多个相关 SNPs,这些 SNPs 包含 90 多个不同的基因。我们回顾了迄今已知的功能关联,并假设了生殖事件附近的潜在候选区域。我们的研究结果证实了其他作者之前在一个同时包括 13 个不同性状的综合队列中的发现。此外,我们还发现了参与奶牛繁殖的新候选基因,并就这些基因的潜在影响提出了初步建议,特别是将 X 染色体作为进一步研究的潜在信息源。这项工作有助于揭示性状特异性相互作用背景下繁殖性状的遗传结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic and genomic analysis of reproduction traits in holstein cattle using SNP chip data and imputed sequence level genotypes
Reproductive performance plays an important role in animal welfare, health and profitability in animal husbandry and breeding. It is well established that there is a negative correlation between performance and reproduction in dairy cattle. This relationship is being increasingly considered in breeding programs. By elucidating the genetic architecture of underlying reproduction traits, it will be possible to make a more detailed contribution to this. Our study followed two approaches to elucidate this area; in a first part, variance components were estimated for 14 different calving and fertility traits, and then genome-wide association studies were performed for 13 reproduction traits on imputed sequence-level genotypes with subsequent enrichment analyses. Variance components analyses showed a low to moderate heritability (h2) for the traits analysed, ranging from 0.014 for endometritis up to 0.271 for stillbirth, indicating variable degrees of variation within the reproduction traits. For genome-wide association studies, we were able to detect genome-wide significant association signals for nine out of 13 analysed traits after Bonferroni correction on chromosome 6, 18 and the X chromosome. In total, we detected over 2700 associated SNPs encircling more than 90 different genes using the imputed whole-genome sequence data. Functional associations were reviewed so far known and potential candidate regions in the proximity of reproduction events were hypothesised. Our results confirm previous findings of other authors in a comprehensive cohort including 13 different traits at the same time. Additionally, we identified new candidate genes involved in dairy cattle reproduction and made initial suggestions regarding their potential impact, with special regard to the X chromosome as a putative information source for further research. This work can make a contribution to reveal the genetic architecture of reproduction traits in context of trait specific interactions.
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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