Verardo Lucas L, Lopes Marcos S, Mathur Pramod, Madsen Ole, Silva Fabyano F, Groenen Martien A M, Knol Egbert F, Lopes Paulo S, Guimarães Simone E F
Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, 36570000, Brazil.
Topigs Norsvin Research Center, 6641 SZ, Beuningen, The Netherlands.
Mamm Genome. 2017 Oct;28(9-10):426-435. doi: 10.1007/s00335-017-9696-5. Epub 2017 Jun 2.
For reproductive traits such as total number born (TNB), variance due to different environments is highly relevant in animal breeding. In this study, we aimed to perform a gene-network analysis for TNB in pigs across different environments using genomic reaction norm models. Thus, based on relevant single-nucleotide polymorphisms and linkage disequilibrium blocks across environments obtained from GWAS, different sets of candidate genes having biological roles linked to TNB were identified. Network analysis across environment levels resulted in gene interactions consistent with known mammal's fertility biology, captured relevant transcription factors for TNB biology and pointing out different sets of candidate genes for TNB in different environments. These findings may have important implication for animal production, as optimal breeding may vary depending on later environments. Based on these results, genomic diversity was identified and inferred across environments highlighting differential genetic control in each scenario.
对于诸如总产仔数(TNB)等繁殖性状而言,不同环境造成的方差在动物育种中高度相关。在本研究中,我们旨在使用基因组反应规范模型,对不同环境下猪的总产仔数进行基因网络分析。因此,基于全基因组关联研究(GWAS)获得的不同环境下的相关单核苷酸多态性和连锁不平衡块,鉴定出了具有与总产仔数相关生物学作用的不同候选基因集。跨环境水平的网络分析产生了与已知哺乳动物生育生物学一致的基因相互作用,捕捉到了总产仔数生物学的相关转录因子,并指出了不同环境下总产仔数的不同候选基因集。这些发现可能对动物生产具有重要意义,因为最佳育种可能因后期环境而异。基于这些结果,跨环境鉴定并推断了基因组多样性,突出了每种情况下的差异遗传控制。