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陆地棉纤维产量和品质性状的关联分析。

Association mapping analysis of fiber yield and quality traits in Upland cotton (Gossypium hirsutum L.).

机构信息

State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), P. O. Box 455000, Anyang, Henan, China.

Henan Institute of Science and Technology, Xinxiang, China.

出版信息

Mol Genet Genomics. 2017 Dec;292(6):1267-1280. doi: 10.1007/s00438-017-1346-9. Epub 2017 Jul 26.

Abstract

Fiber yield and quality are the most important traits for Upland cotton (Gossypium hirsutum L.). Identifying high yield and good fiber quality genes are the prime concern of researchers in cotton breeding. Association mapping offers an alternative and powerful method for detecting those complex agronomic traits. In this study, 198 simple sequence repeats (SSRs) were used to screen markers associated with fiber yield and quality traits with 302 elite Upland cotton accessions that were evaluated in 12 locations representing the Yellow River and Yangtze River cotton growing regions of China. Three subpopulations were found after the estimation of population structure. The pair-wise kinship values varied from 0 to 0.867. Only 1.59% of the total marker locus pairs showed significant linkage disequilibrium (LD, p < 0.001). The genome-wide LD decayed within the genetic distance of ~30 to 32 cM at r  = 0.1, and decreased to ~1 to 2 cM at r  = 0.2, indicating the potential for association mapping. Analysis based on a mixed linear model detected 57 significant (p < 0.01) marker-trait associations, including seven associations for fiber length, ten for fiber micronaire, nine for fiber strength, eight for fiber elongation, five for fiber uniformity index, five for fiber uniformity ratio, six for boll weight and seven for lint percent, for a total of 35 SSR markers, of which 11 markers were associated with more than one trait. Among marker-trait associations, 24 associations coincided with the previously reported quantitative trait loci (QTLs), the remainder were newly identified QTLs/genes. The QTLs identified in this study will potentially facilitate improvement of fiber yield and quality in the future cotton molecular breeding programs.

摘要

纤维产量和品质是陆地棉(Gossypium hirsutum L.)最重要的特征。鉴定高产和优质纤维的基因是棉花育种研究人员最关心的问题。关联分析提供了一种替代的、强大的方法来检测这些复杂的农艺性状。本研究利用 198 个简单序列重复(SSR)标记,对 302 份来自中国黄河和长江流域棉花种植区 12 个地点的优质陆地棉进行了纤维产量和品质性状的关联分析。在估计群体结构后,发现了 3 个亚群。成对亲缘关系值在 0 到 0.867 之间变化。只有 1.59%的总标记位点对显示出显著的连锁不平衡(LD,p<0.001)。在 r = 0.1 时,全基因组 LD 在遗传距离约 30 到 32 cM 内衰减,在 r = 0.2 时衰减到约 1 到 2 cM,表明存在关联分析的潜力。基于混合线性模型的分析检测到 57 个显著(p<0.01)的标记-性状关联,包括 7 个与纤维长度相关的关联,10 个与纤维马克隆值相关的关联,9 个与纤维强度相关的关联,8 个与纤维伸长率相关的关联,5 个与纤维均匀度指数相关的关联,5 个与纤维均匀度比相关的关联,6 个与铃重相关的关联,7 个与衣分相关的关联,共涉及 35 个 SSR 标记,其中 11 个标记与多个性状相关。在标记-性状关联中,有 24 个关联与先前报道的数量性状位点(QTL)一致,其余的是新鉴定的 QTL/基因。本研究中鉴定的 QTL 将有助于未来棉花分子育种计划中纤维产量和品质的改良。

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