{"title":"Genomics-driven discovery of superior alleles and genes for yellow rust resistance in wheat","authors":"Jianhui Wu, Shengwei Ma, Jianqing Niu, Weihang Sun, Haitao Dong, Shusong Zheng, Jiwen Zhao, Shengjie Liu, Rui Yu, Ying Li, Jinyu Han, Yimin Wang, Tiantian Chen, Chuanliang Zhang, Wenjing Zhang, Bingyou Ding, Lu Chang, Wenbo Xue, Weijun Zheng, Chunlian Li, Dejun Han, Zhensheng Kang, Qingdong Zeng, Hong-Qing Ling","doi":"10.1038/s41588-025-02259-2","DOIUrl":null,"url":null,"abstract":"<p>Yellow rust (YR), caused by <i>Puccinia striiformis</i> f. sp. <i>tritici</i>, poses a significant threat to wheat production worldwide. Breeding resistant cultivars is crucial for managing this disease. However, our understanding of the genetic mechanisms underlying YR resistance remains fragmented. To address this, we conducted a comprehensive analysis with variome data from 2,191 wheat accessions worldwide and over 47,000 YR response records across several environments and pathogen races. Through genome-wide association studies, we established a landscape of 431 YR resistance loci, providing a rich resource for resistance gene deployment. Furthermore, we cloned genes corresponding to three resistance loci, namely <i>Yr5x</i> (effective against several <i>P.</i> <i>striiformis</i> f. sp. <i>tritici</i> races), <i>Yr6/Pm5</i> (conferred resistance to two pathogen species) and <i>YrKB</i> (<i>TaEDR2-B</i>; conferring broad-spectrum rust resistance without yield penalty). These findings offer valuable insights into the genetic basis of YR resistance in wheat and lay the foundation for engineering wheat with durable disease resistance.</p>","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"14 1","pages":""},"PeriodicalIF":31.7000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41588-025-02259-2","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Yellow rust (YR), caused by Puccinia striiformis f. sp. tritici, poses a significant threat to wheat production worldwide. Breeding resistant cultivars is crucial for managing this disease. However, our understanding of the genetic mechanisms underlying YR resistance remains fragmented. To address this, we conducted a comprehensive analysis with variome data from 2,191 wheat accessions worldwide and over 47,000 YR response records across several environments and pathogen races. Through genome-wide association studies, we established a landscape of 431 YR resistance loci, providing a rich resource for resistance gene deployment. Furthermore, we cloned genes corresponding to three resistance loci, namely Yr5x (effective against several P.striiformis f. sp. tritici races), Yr6/Pm5 (conferred resistance to two pathogen species) and YrKB (TaEDR2-B; conferring broad-spectrum rust resistance without yield penalty). These findings offer valuable insights into the genetic basis of YR resistance in wheat and lay the foundation for engineering wheat with durable disease resistance.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution