小麦种质资源茎基腐病抗性鉴定及定位分析
The Resistance Investigation and Mapping Analysis of Fusarium Crown Rot for Wheat Accessions
张磊磊 1闫香凝 1原敏婕 1简俊涛 2韦佳杰 1李佳琦 1高梦娟 1刘璐 1李松刚 1胡鹏雨 1任妍 1陈锋 1阳霞1
作者信息
- 1. 河南农业大学农学院/省部共建小麦玉米作物学国家重点实验室,郑州 450046
- 2. 南阳市科学院,河南南阳 473000
- 折叠
摘要
采用小米培养基接种法对163份当前推广的小麦种质资源进行室内和田间茎基腐病抗性鉴定.结果表明,没有鉴定出高抗和免疫的小麦材料,但是不同材料的抗性能被明显区分,群体抗性整体上呈现正态分布趋势,室内鉴定病情指数分布在13.28～83.33之间,田间鉴定病情指数分布在10.27～73.89之间.室内和田间鉴定结果较稳定,两环境病情指数的相关系数为0.79,说明室内鉴定结果可较好反映田间抗性情况.全基因组关联分析(GWAS,genome-wide association study)显示,显著SNP广泛分布于小麦各条染色体上,其中2A上最多,集中在725～763 Mb区段内.进一步集群分离分析法(BSA,bulked segregant analysis)结果显示,显著SNP集中在2A上的730～750Mb区段内.综合来看,小麦2A染色体上730～750Mb区段内可能存在显著调控小麦茎基腐病的抗性基因.本研究能够为小麦茎基腐病抗性材料筛选及抗病位点挖掘提供重要的参考意义.
Abstract
By applying the millet grains as pathogen medium,we inoculated the 163 wheat germplasm accessions which widely cultivated currently.No immune or highly resistant wheat accessions were identified,while the resistance variations estimated by disease index(DI)were found following a normal distribution 13.28-83.33 in greenhouse and 10.27-73.89 in field,respectively.The correlation coefficient,based on the phenotype collected from greenhouse seedling assay and field trials was 0.79,supporting a high correlation on resistance at the seedling and adult stages.Furthermore,the genome-wide association study(GWAS)found significant SNPs distributed on all chromosomes of wheat,with enrichment on chromosome 2A with an interval from 725 Mb to 763 Mb.This was in keeping with the results of the bulked segregant analysis(BSA),which revealed significant SNPs distributed from 730 Mb to 750 Mb on chromosome 2A.GWAS and BSA indicated a significant resistance locus,which resided from 730 Mb to 750 Mb on chromosome 2A and associated with fusarium crown rot(FCR)infection.This study can provide important reference for identifying resistant wheat materials and exploring FCR resistant loci in wheat.
关键词
小麦/茎基腐病/抗性鉴定/全基因组关联分析/集群分离分析法Key words
wheat/fusarium crown rot/resistance identification/GWAS/BSA引用本文复制引用
基金项目
河南省重大科技专项(201100110100)
国家重点研发计划项目(2019YFE0118300)
河南省科技攻关项目(222102520002)
中国博士后科学基金面上项目(2022M711066)
出版年
2024
国家科技期刊平台
NSTL
万方数据