4.7 Article

Identification and mapping of quantitative trait loci for cold tolerance at the booting stage in a japonica rice near-isogenic line

期刊

PLANT SCIENCE
卷 174, 期 3, 页码 340-347

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.plantsci.2007.12.003

关键词

cold tolerance; booting stage; rice (Oryza sativa L.); near-isogenic line; quantitative trait loci (QTL)

向作者/读者索取更多资源

Near-isogenic lines (NILs) are preferred materials for mapping quantitative trait loci (QTLs) and for evaluating gene action or interaction. We developed a set of NILs with cold tolerance at the booting stage by backcrossing the strongly cold-tolerant japonica landrace, Kunmingxiaobaigu (KMXBG) to cold-sensitive japonica cultivar, Towada, as the recipient parent. A BC4F5 line was selected as a parent to construct a BC5F, segregating population from which BC5F3 lines were developed. Cold tolerance at the booting stage was evaluated on the basis of spikelet fertility of main panicles over 2 years and two locations. Using a LOD significance threshold of 3.0, compositive interval mapping based on a mixed linear model revealed eight QTLs on chromosomes 1, 4, 5, 10 and 11. They were tentatively designated qCTB-1-1, qCTB-4-1, qCTB-4-2, qCTB-5-1, qCTB-5-2, qCTB-10-1, qCTB-10-2 and qCTB-11-1. All alleles for cold tolerance were contributed by KMXBG, and the marker intervals containing them were narrowed to 0.6-5.6 cM. Genetic distances between the peaks of the QTL and nearest markers varied from 0 to 1.3 cM. The variance explained by a single QTL ranged from 0.90 to 14.86%. Four QTLs, qCTB-1-1, qCTB-4-1, qCTB-5-1, qCTB-5-2 and qCTB-10-1, were detected in two or more trials. Comparisons with previous studies indicated that these QTLs were reliable. Our study sets a foundation for cloning cold-tolerance genes and provides opportunities to understand the mechanism of cold tolerance at the booting stage. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据