利用染色体单片段代换系定位水稻芽期耐冷QTL
? 共同第一作者
收稿日期: 2014-05-26
录用日期: 2014-09-29
网络出版日期: 2015-04-08
基金资助
国家科技支撑计划(No.2011BAD16B03)、江苏省自然科学基金(No.BK20130725)、江苏省科技支撑计划(No.BE2012309)、国家重点基础研究发展计划(No.2013CBA01405)和优质高产多抗广适性水稻新品种选育(No.CX(12)1003-2)
Identification of Cold Tolerance at the Plumule Stage Quantitative Trait Loci with Single Segment Substituted Lines in Rice
? These authors contributed equally to this paper
Received date: 2014-05-26
Accepted date: 2014-09-29
Online published: 2015-04-08
水稻(Oryza sativa)芽期耐冷性是其生长发育过程中不可忽视的重要数量性状, 易受遗传背景的干扰和环境因素的影响; 利用单片段代换系(SSSLs)能减少遗传背景的干扰。该研究以85个单片段代换系为材料, 其受体亲本为广陆矮4号, 供体亲本为日本晴。通过单因素方差分析和Dunnett’s多重比较, 分析单片段代换系与受体亲本之间芽期耐冷性的差异, 并对代换片段上的芽期耐冷QTL进行鉴定。以P≤0.001为阈值共检测到8个芽期耐冷QTL, 分别分布在第1、6、8、9和10号染色体上, 其中4个QTL通过代换作图被初步定位。这些QTL加性效应均表现为增效作用, 在2个年度间其加性效应值的变化范围分别为14%-44%和10%-45%, 加性效应百分率的变化范围分别为700% -2 200%和500%-2 250%, 其中qCTP9-2在2个年度间的加性效应均最高, 分别为44%和45%。研究结果对进一步发掘和利用新的水稻芽期耐冷QTL具有重要意义。
朱金燕, 杨梅, 嵇朝球, 王军, 杨杰, 范方军, 李文奇, 王芳权, 梁国华, 周勇, 仲维功 . 利用染色体单片段代换系定位水稻芽期耐冷QTL[J]. 植物学报, 2015 , 50(3) : 338 -345 . DOI: 10.3724/SP.J.1259.2015.00338
Cold tolerance at the plumule stage is an important trait during rice growth and can be easily affected by genetic background and environmental factors. Single segment substitution lines (SSSLs) can effectively reduce the interference of the genetic background. We developed a set of genome-wide SSSLs carrying Nipponbare introgression segments in the background of Guangluai 4. Quantitative trait loci (QTL) analysis of cold tolerance at the plumule stage involved one-way ANOVA and Dunnett’s test for comparing SSSLs with the recurrent parent Guangluai 4 (P≤0.001). We detected eight QTL for cold tolerance at the plumule stage on chromosomes 1, 6, 8, 9 and 10; all had a positive effect. In both years studied, the additive effect of these QTL ranged from 14% to 44% and 10% to 45%, with additive effect percentages 700% to 2 200% and 500% to 2 250%. Four of these QTL were primarily mapped by using the substitution mapping method, and qCTP9-2 had the largest additive effect in both years for 44% and 45%, respectively. These results provide useful information for exploring and using new grain number-related resources.
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