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30个重要小麦生产品种抗叶锈性基因分析

闫晓翠 李在峰 杨华丽 张换换 Gebrewahid Takele Weldu 姚占军 刘大群 周悦

中国农业科学2017,Vol.50Issue(2):272-285,14.
中国农业科学2017,Vol.50Issue(2):272-285,14.DOI:10.3864/j.issn.0578-1752.2017.02.007

30个重要小麦生产品种抗叶锈性基因分析

Analysis of Wheat Leaf Rust Resistance Genes in 30 Important Wheat Cultivars

闫晓翠 1李在峰 2杨华丽 1张换换 1Gebrewahid Takele Weldu 1姚占军 1刘大群 2周悦3

作者信息

  • 1. 河北农业大学农学院/华北作物种质资源研究与利用教育部重点实验室,河北保定 071001
  • 2. 河北农业大学植物保护学院/河北省农作物病虫害生物防治工程技术研究中心,河北保定 071001
  • 3. 保定学院生物化学系,河北保定 071001
  • 折叠

摘要

Abstract

[Objective] Leaf rust is an important wheat disease and it has a great influence on wheat yield. Breeding durable resistant cultivars can economically and effectively control the disease. The objective of this study is to identify leaf rust resistance genes in 30 wheat cultivars from China by gene postulation, molecular marker-assisted selection, adult plant resistance identification and pedigree analysis.[Method] The cultivars were tested for seedling responses in the greenhouse to 18Puccinia triticina pathotypes (PHGQ, THJT, PHJT, KHJS, PHJS, THTT①, KHHT, FHRT, FHJQ, PHTT, THTT②, PHTT, FHTR, FHHT①, FHHT②, TGGT, FHTT, FGMT) and to a mixed pathotypes (FHRT, THTT, THJT) for slow leaf rusting resistance in the field in 2014-2015 and 2015-2016 cropping seasons in Zhoukou, Henan Province and Baoding, Hebei Province. CIMMYT line SAAR, with typical slow rusting resistance and Zhengzhou 5389, a highly susceptible line were used as slow rusting and susceptible checks, respectively. Differential sets containing 36 near-isogenic lines (NILs) in a background of Thatcher with known leaf rust resistance genes were used to compare the infection types of the cultivars at seedling stage. The software IBM SPSS Statistics 19.0 was used for analysis of variance (ANOVA) and for determining least standard deviations (LSDs) for comparing the FDS (the final diseases severity) among the wheat cultivars. Cultivars which were susceptible to the mixed pathotypes and had lower or non-significantly higher values of FDS than those of the slow rusting check in field trials were considered to be slow rusting cultivars.[Result]Gene postulation combined with pedigree analysis, and markers detection results showed that four cultivars, viz. Een 5, Emai 14, Shaan 229, and Xinong 979 containedLr1; 10 cultivars (Een 1, Een 5, Een 6, Guinong 16, Shaan 225, Shaan 354, Shaan 715, Shaanhe 6, Shaanmai 509 and Shaannong 7859) carriedLr26, two cultivars (Shaan 225 and Xiaoyan 81) contained slow rust resistance geneLr46 by molecular marker detection; three varieties (Xinong 979, Shaan 229, and Guinong 16) might containLr13. All cultivars didn't carry resistance genes, viz.Lr9,Lr10,Lr19,Lr20,Lr24, andLr34. Based on the leaf rust resistance phenotype data in the field through four environments, a total of 18 cultivars showed slow rusting resistance. The variance analysis results showed that the genotypes-years interactions and the genotypes-locations were highly significant differences but genotypes-replicates interaction was not significant. At the same time, highly significant differences were found for wheat genotypes and environment (seasons and locations) for FDS in the field trials, but its effect on variation was much less than the genotypic differences. Therefore, these suggested that the expression of wheat leaf rust resistance was mainly influenced by genotypes and environments.[Conclusion] Four resistance genes, viz.Lr1,Lr26,Lr13, andLr46 were found in 14 wheat cultivars among 30 released winter wheat cultivars in China, but known leaf resistance genes could not be detected in other 16 cultivars. A total of 18 cultivars might carry slow rust resistance genes according to the field resistance data. All slow rusting materials may contain unknown plant leaf rust resistance genes, which need further genetic identification.

关键词

小麦叶锈病/基因推导/成株抗病鉴定/分子标记辅助选择

Key words

wheat leaf rust/gene postulation/adult plant resistance/molecular marker-assisted selection

引用本文复制引用

闫晓翠,李在峰,杨华丽,张换换,Gebrewahid Takele Weldu,姚占军,刘大群,周悦..30个重要小麦生产品种抗叶锈性基因分析[J].中国农业科学,2017,50(2):272-285,14.

基金项目

国家自然科学基金(31361140367,31571662)、河北省应用基础研究计划重点基础研究项目(11960145D)、河北省高等学校自然科学研 究项目(QN2016316) (31361140367,31571662)

中国农业科学

OA北大核心CSCDCSTPCD

0578-1752

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