灰斑病是大豆尾孢菌(Cercospora sojina K. Hara)导致的世界性大豆真菌病害,在大豆主要生产区的流行有增长趋势,给生产带来重大损失。大豆尾孢菌变异迅速,已演化出多个具有致病性差异的生理小种,导致现有品种抗性不能满足生产需求。随...灰斑病是大豆尾孢菌(Cercospora sojina K. Hara)导致的世界性大豆真菌病害,在大豆主要生产区的流行有增长趋势,给生产带来重大损失。大豆尾孢菌变异迅速,已演化出多个具有致病性差异的生理小种,导致现有品种抗性不能满足生产需求。随着分子生物技术的发展,为了获得具有广谱抗性的种质,近年来研究方向从传统的抗病育种转移到对大豆尾孢菌致病机制解析及大豆抗灰斑病基因精细定位上。本文对大豆尾孢菌生理小种的鉴定及其致病性、抗病遗传、抗病育种等方面的国内外研究进展进行了系统综述,并对未来大豆灰斑病的表型精准鉴定、致病机制解析、抗病基因精细定位和抗病育种进行了探讨,为大豆抗灰斑病的进一步研究提供参考。展开更多
Soybean frogeye leaf spot(FLS) disease is a global disease affecting soybean yield, especially in the soybean growing area of Heilongjiang Province. In order to realize genomic selection breeding for FLS resistance of...Soybean frogeye leaf spot(FLS) disease is a global disease affecting soybean yield, especially in the soybean growing area of Heilongjiang Province. In order to realize genomic selection breeding for FLS resistance of soybean, least absolute shrinkage and selection operator(LASSO) regression and stepwise regression were combined, and a genomic selection model was established for 40 002 SNP markers covering soybean genome and relative lesion area of soybean FLS. As a result, 68 molecular markers controlling soybean FLS were detected accurately, and the phenotypic contribution rate of these markers reached 82.45%. In this study, a model was established, which could be used directly to evaluate the resistance of soybean FLS and to select excellent offspring. This research method could also provide ideas and methods for other plants to breeding in disease resistance.展开更多
文摘灰斑病是大豆尾孢菌(Cercospora sojina K. Hara)导致的世界性大豆真菌病害,在大豆主要生产区的流行有增长趋势,给生产带来重大损失。大豆尾孢菌变异迅速,已演化出多个具有致病性差异的生理小种,导致现有品种抗性不能满足生产需求。随着分子生物技术的发展,为了获得具有广谱抗性的种质,近年来研究方向从传统的抗病育种转移到对大豆尾孢菌致病机制解析及大豆抗灰斑病基因精细定位上。本文对大豆尾孢菌生理小种的鉴定及其致病性、抗病遗传、抗病育种等方面的国内外研究进展进行了系统综述,并对未来大豆灰斑病的表型精准鉴定、致病机制解析、抗病基因精细定位和抗病育种进行了探讨,为大豆抗灰斑病的进一步研究提供参考。
基金Supported by the National Key Research and Development Program of China(2021YFD1201103-01-05)。
文摘Soybean frogeye leaf spot(FLS) disease is a global disease affecting soybean yield, especially in the soybean growing area of Heilongjiang Province. In order to realize genomic selection breeding for FLS resistance of soybean, least absolute shrinkage and selection operator(LASSO) regression and stepwise regression were combined, and a genomic selection model was established for 40 002 SNP markers covering soybean genome and relative lesion area of soybean FLS. As a result, 68 molecular markers controlling soybean FLS were detected accurately, and the phenotypic contribution rate of these markers reached 82.45%. In this study, a model was established, which could be used directly to evaluate the resistance of soybean FLS and to select excellent offspring. This research method could also provide ideas and methods for other plants to breeding in disease resistance.
