Ishita Isha, Sarvjeet Singh, Uday Jha, C. Laxuman, Himabindu Kudapa, Rajeev K. Varshney, Mahendar Thudi
{"title":"通过元 QTL 分析,确定了提高鹰嘴豆抗生物胁迫能力的候选基因和单倍型","authors":"Ishita Isha, Sarvjeet Singh, Uday Jha, C. Laxuman, Himabindu Kudapa, Rajeev K. Varshney, Mahendar Thudi","doi":"10.1007/s13562-024-00873-5","DOIUrl":null,"url":null,"abstract":"<p>Fusarium wilt, Ascochyta blight and Botrytis grey mould caused by fungal pathogens are major biotic stresses that lead to 100% yield loss in chickpea (<i>Cicer arietinum</i> L.). Several independent studies reported the genomic regions, using heterogeneous populations, that are of limited use in breeding programs for the development of enhanced disease resistance in climate change scenarios. In order to identify the consensus genomic regions, we developed a consensus integrated map and performed Meta-QTL analysis using 52 QTLs reported in 17 independent studies. The consensus integrated map spanned 1292.04 cM with 669 markers on all eight linkage groups. In total, we report 10 Meta-QTLs distributed on four linkage groups (CaLG02, CaLG03, CaLG04 and CaLG06) and 172 genes belonging to a wide range of gene-families that are involved in multiple disease resistance. Among these, the key genes such as Glutaredoxin, Reticuline oxidase-like protein, and RING-Finger proteins, which have been previously reported for disease resistance. The confidence interval of reported Meta-QTLs decreased 4.89 folds from the original QTL studies whose confidence interval ranged from 0.84 to 28.94 cM. Among these genes, <i>Ca_13066</i> and <i>Ca_05186</i> present in Meta-QTL4_6 and Meta-QTL6_8, that play major role in biotic stress resistance pathways possessed 3 and 8 haplotypes respectively. Our study provides a better understanding of the genetic mechanisms underlying these three important biotic stresses. Further, the Meta-QTLs, candidate genes and haplotypes reported in this study can be used for developing climate resilient and disease resistant chickpea cultivars.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-QTL analysis enabled identification of candidate genes and haplotypes for enhancing biotic stress resistance in chickpea\",\"authors\":\"Ishita Isha, Sarvjeet Singh, Uday Jha, C. Laxuman, Himabindu Kudapa, Rajeev K. Varshney, Mahendar Thudi\",\"doi\":\"10.1007/s13562-024-00873-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Fusarium wilt, Ascochyta blight and Botrytis grey mould caused by fungal pathogens are major biotic stresses that lead to 100% yield loss in chickpea (<i>Cicer arietinum</i> L.). Several independent studies reported the genomic regions, using heterogeneous populations, that are of limited use in breeding programs for the development of enhanced disease resistance in climate change scenarios. In order to identify the consensus genomic regions, we developed a consensus integrated map and performed Meta-QTL analysis using 52 QTLs reported in 17 independent studies. The consensus integrated map spanned 1292.04 cM with 669 markers on all eight linkage groups. In total, we report 10 Meta-QTLs distributed on four linkage groups (CaLG02, CaLG03, CaLG04 and CaLG06) and 172 genes belonging to a wide range of gene-families that are involved in multiple disease resistance. Among these, the key genes such as Glutaredoxin, Reticuline oxidase-like protein, and RING-Finger proteins, which have been previously reported for disease resistance. The confidence interval of reported Meta-QTLs decreased 4.89 folds from the original QTL studies whose confidence interval ranged from 0.84 to 28.94 cM. Among these genes, <i>Ca_13066</i> and <i>Ca_05186</i> present in Meta-QTL4_6 and Meta-QTL6_8, that play major role in biotic stress resistance pathways possessed 3 and 8 haplotypes respectively. Our study provides a better understanding of the genetic mechanisms underlying these three important biotic stresses. Further, the Meta-QTLs, candidate genes and haplotypes reported in this study can be used for developing climate resilient and disease resistant chickpea cultivars.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s13562-024-00873-5\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s13562-024-00873-5","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Meta-QTL analysis enabled identification of candidate genes and haplotypes for enhancing biotic stress resistance in chickpea
Fusarium wilt, Ascochyta blight and Botrytis grey mould caused by fungal pathogens are major biotic stresses that lead to 100% yield loss in chickpea (Cicer arietinum L.). Several independent studies reported the genomic regions, using heterogeneous populations, that are of limited use in breeding programs for the development of enhanced disease resistance in climate change scenarios. In order to identify the consensus genomic regions, we developed a consensus integrated map and performed Meta-QTL analysis using 52 QTLs reported in 17 independent studies. The consensus integrated map spanned 1292.04 cM with 669 markers on all eight linkage groups. In total, we report 10 Meta-QTLs distributed on four linkage groups (CaLG02, CaLG03, CaLG04 and CaLG06) and 172 genes belonging to a wide range of gene-families that are involved in multiple disease resistance. Among these, the key genes such as Glutaredoxin, Reticuline oxidase-like protein, and RING-Finger proteins, which have been previously reported for disease resistance. The confidence interval of reported Meta-QTLs decreased 4.89 folds from the original QTL studies whose confidence interval ranged from 0.84 to 28.94 cM. Among these genes, Ca_13066 and Ca_05186 present in Meta-QTL4_6 and Meta-QTL6_8, that play major role in biotic stress resistance pathways possessed 3 and 8 haplotypes respectively. Our study provides a better understanding of the genetic mechanisms underlying these three important biotic stresses. Further, the Meta-QTLs, candidate genes and haplotypes reported in this study can be used for developing climate resilient and disease resistant chickpea cultivars.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.