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通过全面的群体和泛基因组分析洞察家鹅的遗传多样性和表型变异

Insights into genetic diversity and phenotypic variations in domestic geese through comprehensive population and pan-genome analysis.

作者信息

Gao Guangliang, Zhang Hongmei, Ni Jiangping, Zhao Xianzhi, Zhang Keshan, Wang Jian, Kong Xiangdong, Wang Qigui

机构信息

Chongqing Academy of Animal Science, Rongchang District, Chongqing, 402460, China.

Livestock and Poultry Multi-Omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.

出版信息

J Anim Sci Biotechnol. 2023 Nov 24;14(1):150. doi: 10.1186/s40104-023-00944-y.

Abstract

BACKGROUND

Domestic goose breeds are descended from either the Swan goose (Anser cygnoides) or the Greylag goose (Anser anser), exhibiting variations in body size, reproductive performance, egg production, feather color, and other phenotypic traits. Constructing a pan-genome facilitates a thorough identification of genetic variations, thereby deepening our comprehension of the molecular mechanisms underlying genetic diversity and phenotypic variability.

RESULTS

To comprehensively facilitate population genomic and pan-genomic analyses in geese, we embarked on the task of 659 geese whole genome resequencing data and compiling a database of 155 RNA-seq samples. By constructing the pan-genome for geese, we generated non-reference contigs totaling 612 Mb, unveiling a collection of 2,813 novel genes and pinpointing 15,567 core genes, 1,324 softcore genes, 2,734 shell genes, and 878 cloud genes in goose genomes. Furthermore, we detected an 81.97 Mb genomic region showing signs of genome selection, encompassing the TGFBR2 gene correlated with variations in body weight among geese. Genome-wide association studies utilizing single nucleotide polymorphisms (SNPs) and presence-absence variation revealed significant genomic associations with various goose meat quality, reproductive, and body composition traits. For instance, a gene encoding the SVEP1 protein was linked to carcass oblique length, and a distinct gene-CDS haplotype of the SVEP1 gene exhibited an association with carcass oblique length. Notably, the pan-genome analysis revealed enrichment of variable genes in the "hair follicle maturation" Gene Ontology term, potentially linked to the selection of feather-related traits in geese. A gene presence-absence variation analysis suggested a reduced frequency of genes associated with "regulation of heart contraction" in domesticated geese compared to their wild counterparts. Our study provided novel insights into gene expression features and functions by integrating gene expression patterns across multiple organs and tissues in geese and analyzing population variation.

CONCLUSION

This accomplishment originates from the discernment of a multitude of selection signals and candidate genes associated with a wide array of traits, thereby markedly enhancing our understanding of the processes underlying domestication and breeding in geese. Moreover, assembling the pan-genome for geese has yielded a comprehensive apprehension of the goose genome, establishing it as an indispensable asset poised to offer innovative viewpoints and make substantial contributions to future geese breeding initiatives.

摘要

背景

家鹅品种起源于鸿雁(Anser cygnoides)或灰雁(Anser anser),在体型、繁殖性能、产蛋量、羽毛颜色和其他表型特征方面存在差异。构建泛基因组有助于全面识别遗传变异,从而加深我们对遗传多样性和表型变异性潜在分子机制的理解。

结果

为了全面促进鹅的群体基因组和泛基因组分析,我们开展了对659只鹅的全基因组重测序数据的研究,并编制了一个包含155个RNA测序样本的数据库。通过构建鹅的泛基因组,我们生成了总计612 Mb的非参考重叠群,发现了2813个新基因,并确定了鹅基因组中的15567个核心基因、1324个软核心基因、2734个外壳基因和878个云基因。此外,我们检测到一个81.97 Mb的基因组区域显示出基因组选择的迹象,其中包括与鹅体重变化相关的TGFBR2基因。利用单核苷酸多态性(SNP)和存在-缺失变异进行的全基因组关联研究揭示了与各种鹅肉品质、繁殖和身体组成性状的显著基因组关联。例如,一个编码SVEP1蛋白的基因与胴体斜长相关,并且SVEP1基因的一个独特的基因-CDS单倍型与胴体斜长有关。值得注意的是,泛基因组分析揭示了可变基因在“毛囊成熟”基因本体术语中的富集,这可能与鹅羽毛相关性状的选择有关。基因存在-缺失变异分析表明,与野生鹅相比,家养鹅中与“心脏收缩调节”相关的基因频率降低。我们的研究通过整合鹅多个器官和组织的基因表达模式并分析群体变异,为基因表达特征和功能提供了新的见解。

结论

这一成果源于对众多与广泛性状相关的选择信号和候选基因的识别,从而显著增强了我们对鹅驯化和育种潜在过程的理解。此外,组装鹅的泛基因组使我们对鹅基因组有了全面的认识,将其确立为一项不可或缺的资产,有望为未来的鹅育种计划提供创新观点并做出重大贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/598b/10675864/fa984dbc86b3/40104_2023_944_Fig1_HTML.jpg

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