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利用高密度基因芯片进行全基因组选择信号作图,鉴定出鸡生长性状和局部适应性的候选基因。

Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens.

机构信息

Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy.

Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, 2049, Ariana, Tunisia.

出版信息

Genet Sel Evol. 2023 Mar 23;55(1):20. doi: 10.1186/s12711-023-00790-6.

Abstract

BACKGROUND

Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatures of selection in 23 local Italian chicken populations. The populations were categorized into four groups for comparative analysis based on live weight (heavy vs light) and geographical area (Northern vs Southern Italy). Putative signatures of selection were investigated by combining three extended haplotype homozygosity (EHH) statistical approaches to quantify excess of haplotype homozygosity within (iHS) and between (Rsb and XP-EHH) groups. Presence of runs of homozygosity (ROH) islands was also analysed for each group.

RESULTS

After editing, 541 animals and 313,508 SNPs were available for statistical analyses. In total, 15 candidate genomic regions that are potentially under selection were detected among the four groups: eight within a group by iHS and seven by combining the results of Rsb and XP-EHH, which revealed divergent selection between the groups. The largest overlap between genomic regions identified to be under selection by the three approaches was on chicken chromosome 8. Twenty-one genomic regions were identified with the ROH approach but none of these overlapped with regions identified with the three EHH-derived statistics. Some of the identified regions under selection contained candidate genes with biological functions related to environmental stress, immune responses, and disease resistance, which indicate local adaptation of these chicken populations.

CONCLUSIONS

Compared to commercial lines, local populations are predominantly reared as backyard chickens, and thus, may have developed stronger resistance to environmental challenges. Our results indicate that selection can play an important role in shaping signatures of selection in local chicken populations and can be a starting point to identify gene mutations that could have a useful role with respect to climate change.

摘要

背景

单核苷酸多态性 (SNP) 基因分型阵列的可用性和统计分析的进展使得能够鉴定鸡中受选择影响的基因组区域和基因。在这项研究中,使用来自 600K Affymetrix 鸡阵列的 SNP 数据来检测 23 个意大利本地鸡群中的选择信号。根据活体重(重与轻)和地理区域(意大利北部与南部),将种群分为四组进行比较分析。通过结合三种扩展单体型纯合度 (EHH) 统计方法来量化组内(iHS)和组间(Rsb 和 XP-EHH)的单体型纯合度过剩,来研究选择的潜在信号。还分析了每个组的纯合子区域 (ROH) 岛的存在。

结果

编辑后,541 只动物和 313508 个 SNP 可用于统计分析。在总共 15 个候选基因组区域中,四个组中检测到潜在的选择:8 个通过 iHS,7 个通过结合 Rsb 和 XP-EHH 的结果,这表明组之间存在分歧选择。三种方法鉴定的选择基因区域之间最大的重叠在鸡染色体 8 上。通过 ROH 方法鉴定了 21 个基因组区域,但没有一个与通过三种 EHH 衍生统计方法鉴定的区域重叠。一些鉴定的选择区域包含与环境应激、免疫反应和疾病抗性相关的候选基因,这表明这些鸡群发生了局部适应。

结论

与商业品系相比,本地种群主要作为后院鸡饲养,因此可能对环境挑战有更强的抵抗力。我们的研究结果表明,选择可以在塑造本地鸡群选择信号方面发挥重要作用,并可以作为识别可能对气候变化有用的基因突变的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4a6/10035218/b5dbb0210ad8/12711_2023_790_Fig1_HTML.jpg

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