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Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism

机译:识别约克郡猪背脂肪厚度的选择特征突出了影响脂肪代谢的新区域

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摘要

Identifying the genetic basis of improvement in pigs contributes to our understanding of the role of artificial selection in shaping the genome. Here we employed the Cross Population Extended Haplotype Homozogysity (XPEHH) and the Wright’s fixation index (FST) methods to detect trait-specific selection signatures by making phenotypic gradient differential population pairs, and then attempted to map functional genes of six backfat thickness traits in Yorkshire pigs. The results indicate that a total of 283 and 466 single nucleotide polymorphisms (SNPs) were identified as trait-specific selection signatures using FST and XPEHH, respectively. Functional annotation suggested that the genes overlapping with the trait-specific selection signatures such as OSBPL8, ASAH2, SMCO2, GBE1, and ABL1 are responsible for the phenotypes including fat metabolism, lean body mass and fat deposition, and transport in mouse. Overall, the study developed the methods of gene mapping on the basis of identification of selection signatures. The candidate genes putatively associated with backfat thickness traits can provide important references and fundamental information for future pig-breeding programs.
机译:确定猪的遗传基础有助于我们了解人工选择在塑造基因组中的作用。在这里,我们采用交叉人口扩展单倍型纯合性(XPEHH)和赖特固定指数(FST)方法,通过制作表型梯度差异群体对来检测特异选择选择特征,然后尝试绘制约克郡6种背f厚性状的功能基因猪。结果表明,分别使用FST和XPEHH将总共283和466个单核苷酸多态性(SNP)鉴定为性状特异性选择标记。功能注释表明,与性状特异性选择标记(如OSBPL8,ASAH2,SMCO2,GBE1和ABL1)重叠的基因负责表型,包括脂肪代谢,瘦体重和脂肪沉积以及在小鼠中的运输。总体而言,该研究在鉴定选择特征的基础上发展了基因作图的方法。推测与背脂厚度性状相关的候选基因可以为将来的猪育种计划提供重要参考和基础信息。

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