您好，欢迎访问云南省农业科学院 机构知识库！

Identifying genomic regions controlling ratoon stunting disease resistance in sugarcane (Saccharum spp.) clonal F-1 population

文献类型： 外文期刊

作者： You, Qian 1 ; Sood, Sushma 3 ; Luo, Ziliang 2 ; Liu, Hongbo 2 ; Islam, Md Sariful 3 ; Zhang, Muqing 1 ; Wang, Jianping 2 ;

作者机构： 1.Guangxi Univ, State Key Lab Conservat & Utilizat Subtrop Agr Bi, Nanning 530005, Guangxi, Peoples R China

2.Univ Florida, Agron Dept, Gainesville, FL 32610 USA

3.USDA ARS, Sugarcane Field Stn, Canal Point, FL 33438 USA

4.Yunnan Acad Agr Sci, Sugarcane Res Inst, Kaiyuan 661699, Yunnan, Peoples R China

5.Univ Florida, Genet Inst, Gainesville, FL 32610 USA

6.Univ Florida, Plant Mol & Cellular Biol Program, Gainesville, FL 32610 USA

关键词： Quantitative trait loci (QTL); GACD; IciMapping; SNP marker; Sugarcaneratoon stunting disease

期刊名称：CROP JOURNAL （ 影响因子：4.407； 五年影响因子：5.687 ）

ISSN： 2095-5421

年卷期： 2021 年 9 卷 5 期

页码：

收录情况： SCI

摘要： The ratoon stunting disease (RSD) of sugarcane, caused by the bacterium Leifsonia xyli subsp. xyli, is one of the major concerns to sugarcane production and breeding programs worldwide. Due to no obvious external symptoms, RSD cannot be easily detected by the growers, hence has reduced the world's sugarcane production significantly. This study aimed to identify quantitative trait loci (QTL) associated with RSD resistance and to assist in the development of linked molecular markers for marker-assisted breeding to minimize the reduction in sugarcane yield by the RSD infection. A set of 146 individuals derived from a self-crossing of CP80-1827 were evaluated for RSD resistance in a mechanically duplicated inoculated field trial from 2014 to 2017 using tissue blot immunoassay. Leveraging the genetic data and the four years phenotyping data of CP80-1827 selling population, linkage map construction and QTL analysis were conducted based on clonal F-1 and F-2 mapping population types with GACD V.1.2 and IciMapping V.3.3, respectively. A total of 23 QTL associated with RSD resistance were identified, which explained 6% to 13% of the phenotypic variation with the two types of software. A total of 82 disease resistance genes were identified by searching these 23 QTL regions on their corresponding regions on the Sorghum bicolor genome (44 genes), sugarcane R570 genome (20 genes), and S. spontaneum genome (18 genes), respectively. Compared with IciMapping V.3.3, GACD V.1.2 identified more major (6 vs. 3) and stable QTL (2 vs. 0), and more disease resistance genes (51 vs. 31), indicating GACD V.1.2 (clonal F-1 mapping type) is most likely to be more efficient than IciMapping (F-2 mapping type) for QTL analysis of a selling population or clonal F-1 population in clonal species. The identified QTL controlling RSD resistance along with the associated SNP markers will assist sugarcane molecular breeding programs in combating this disease. (C) 2020 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：云南省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台