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来自非洲和欧亚大陆的家养绵羊品种脂肪沉积的新的和已知的选择信号。

Novel and known signals of selection for fat deposition in domestic sheep breeds from Africa and Eurasia.

机构信息

Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.

Department of Biological Sciences, Faculty of Science, Kuwait University, Safat, Kuwait.

出版信息

PLoS One. 2019 Jun 14;14(6):e0209632. doi: 10.1371/journal.pone.0209632. eCollection 2019.

Abstract

Genomic regions subjected to selection frequently show signatures such as within-population reduced nucleotide diversity and outlier values of differentiation among differentially selected populations. In this study, we analyzed 50K SNP genotype data of 373 animals belonging to 23 sheep breeds of different geographic origins using the Rsb (extended haplotype homozygosity) and FST statistical approaches, to identify loci associated with the fat-tail phenotype. We also checked if these putative selection signatures overlapped with regions of high-homozygosity (ROH). The analyses identified novel signals and confirmed the presence of selection signature in genomic regions that harbor candidate genes known to affect fat deposition. Several genomic regions that frequently appeared in ROH were also identified within each breed, but only two ROH islands overlapped with the putative selection signatures. The results reported herein provide the most complete genome-wide study of selection signatures for fat-tail in African and Eurasian sheep breeds; they also contribute insights into the genetic basis for the fat tail phenotype in sheep, and confirm the great complexity of the mechanisms that underlie quantitative traits, such as the fat-tail.

摘要

基因组区域经常受到选择的影响,表现出一些特征,如在种群内减少核苷酸多样性和在不同选择种群之间分化的离群值。在这项研究中,我们使用 Rsb(扩展单倍型纯合度)和 FST 统计方法,分析了来自 23 个不同地理起源的绵羊品种的 373 只动物的 50K SNP 基因型数据,以鉴定与脂肪尾巴表型相关的基因座。我们还检查了这些假定的选择特征是否与高纯合性区域(ROH)重叠。分析确定了新的信号,并证实了在含有已知影响脂肪沉积的候选基因的基因组区域存在选择特征。在每个品种内还鉴定到了许多在 ROH 中经常出现的基因组区域,但只有两个 ROH 岛与假定的选择特征重叠。本文报告的结果提供了非洲和欧亚绵羊品种脂肪尾巴选择特征的最全面的全基因组研究;它们还深入了解了绵羊脂肪尾巴表型的遗传基础,并证实了数量性状(如脂肪尾巴)背后的机制的极大复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c7/6568386/1d55634774c1/pone.0209632.g001.jpg

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