Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics

IF 23.7 Q1 MICROBIOLOGY

iMeta Pub Date : 2024-12-26 DOI:10.1002/imt2.257

Dong Li, Yulong Wang, Tiantian Yuan, Minghao Cao, Yulin He, Lin Zhang, Xiang Li, Yifan Jiang, Ke Li, Jingchun Sun, Guangquan Lv, Guosheng Su, Qishan Wang, Yuchun Pan, Xinjian Li, Yu Jiang, Gongshe Yang, Martien A. M. Groenen, Martijn F. L. Derks, Rongrong Ding, Xiangdong Ding, Taiyong Yu

{"title":"Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics","authors":"Dong Li, Yulong Wang, Tiantian Yuan, Minghao Cao, Yulin He, Lin Zhang, Xiang Li, Yifan Jiang, Ke Li, Jingchun Sun, Guangquan Lv, Guosheng Su, Qishan Wang, Yuchun Pan, Xinjian Li, Yu Jiang, Gongshe Yang, Martien A. M. Groenen, Martijn F. L. Derks, Rongrong Ding, Xiangdong Ding, Taiyong Yu","doi":"10.1002/imt2.257","DOIUrl":null,"url":null,"abstract":"<p>The development of a comprehensive pig graph pangenome assembly encompassing 27 genomes represents the most extensive collection of pig genomic data to date. Analysis of this pangenome reveals the critical role of structural variations in driving adaptation and defining breed-specific traits. Notably, the study identifies <i>BTF3</i> as a key candidate gene governing intramuscular fat deposition and meat quality in pigs. These findings underscore the power of pangenome approaches in uncovering novel genomic features underlying economically important agricultural traits. Collectively, these results demonstrate the value of leveraging large-scale, multi-genome analyses for advancing our understanding of livestock genomes and accelerating genetic improvement.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"3 6","pages":""},"PeriodicalIF":23.7000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683468/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"iMeta","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/imt2.257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

The development of a comprehensive pig graph pangenome assembly encompassing 27 genomes represents the most extensive collection of pig genomic data to date. Analysis of this pangenome reveals the critical role of structural variations in driving adaptation and defining breed-specific traits. Notably, the study identifies BTF3 as a key candidate gene governing intramuscular fat deposition and meat quality in pigs. These findings underscore the power of pangenome approaches in uncovering novel genomic features underlying economically important agricultural traits. Collectively, these results demonstrate the value of leveraging large-scale, multi-genome analyses for advancing our understanding of livestock genomes and accelerating genetic improvement.

Abstract Image

查看原文本刊更多论文

猪的泛基因组和基因组变异分析揭示了其适应性和农艺特征的基因组方面。

包含27个基因组的综合猪图谱泛基因组组装的开发代表了迄今为止最广泛的猪基因组数据收集。对这种泛基因组的分析揭示了结构变异在驱动适应和定义品种特异性性状方面的关键作用。值得注意的是，该研究确定BTF3是控制猪肌内脂肪沉积和肉质的关键候选基因。这些发现强调了泛基因组方法在揭示经济上重要的农业性状背后的新基因组特征方面的力量。总的来说，这些结果证明了利用大规模多基因组分析来提高我们对牲畜基因组的理解和加速遗传改良的价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

iMeta

CiteScore

10.80

自引率

0.00%

发文量