Genetic dissection of the introgressive genomic components from Gossypium barbadense L. that contribute to improved fiber quality in Gossypiumhirsutum L.
Genetic dissection of the introgressive genomic components from Gossypium barbadense L. that contribute to improved fiber quality in Gossypiumhirsutum L.
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DOI：
10.1007/s11032-013-9888-y
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发表时间：
2013-07
影响因子：
3.1
通讯作者：
Furong Wang;Zhenzhen Xu;Ran Sun;Yongchao Gong;G. Liu;Jing-xia Zhang;Liuming Wang;Chuanyun Zhang-Chuanyun
中科院分区：
文献类型：
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作者：
Furong Wang;Zhenzhen Xu;Ran Sun;Yongchao Gong;G. Liu;Jing-xia Zhang;Liuming Wang;Chuanyun Zhang-Chuanyun
我们将含有海岛棉 (GB) 基因组成分的绿源 343 与高产陆地棉 (GH) 品种 Lumianyan22 进行杂交，以评估有助于陆地棉纤维品质的渐渗外源基因组成分。从 18,467 个 SSR 引物对中筛选出的 334 个简单序列重复 (SSR) 位点中，总共有 158 个被鉴定为推定的 GB 渗入位点。 WinQTLCart 2.5 基于 2 年来在两个不同地点收集的三个表型数据集检测到了 24 个纤维质量和衣分百分比的数量性状位点 (QTL)。在这些QTL中，20个被定位在基因渗入染色体区域； GB 等位基因有助于提高 8 个位点的纤维质量，这些位点位于染色体 (Chr.) 3、Chr.7 和 Chr.25 的渐渗片段。 QTLNetwork-2.2 鉴定出总共 8 个双基因上位性和 9 个显着的 QTL × 环境 (QE) 相互作用。发现纤维伸长最容易受环境影响，因为该性状的所有 QTL 均表现出显着的 QE 相互作用，且影响较大。纤维长度、纤维强度和掉毛率几乎不受环境影响，因为没有检测到这些性状的量化宽松相互作用效应或较小。本研究确定的GB基因渗入组分的全基因组鉴定和纤维相关QTL的定位将有利于陆地棉育种中改良纤维品质和皮棉产量的同时标记辅助选择。
We crossed Luyuan343, containing theGossypium barbadense(GB) genomic component, with Lumianyan22, a high-yieldingGossypium hirsutum(GH) variety, to evaluate the introgressive exogenous genomic components that contribute to fiber quality in upland cotton. A total of 158 of 334 mapping simple sequence repeats (SSR) loci screened from 18,467 SSR primer pairs were identified as putative GB introgression loci. Twenty-four quantitative trait loci (QTLs) for fiber quality and lint percentage were detected by WinQTLCart 2.5 based on three phenotypic datasets collected over 2 years in two different locations. Of these QTLs, 20 were mapped in the introgression chromosomal regions; the GB alleles contributed to improved fiber quality at eight loci, which were located in the introgression segments of chromosome (Chr.) 3, Chr.7 and Chr.25. A total of eight digenic epistasis and nine significant QTL × environment (QE) interactions were identified by QTLNetwork-2.2. Fiber elongation was found to be most easily influenced by environment since all QTLs for this trait showed significant QE interaction with large effects. Fiber length, fiber strength, and lint percentage were scarcely affected by environment as no or minor QE interaction effects for these traits were detected. Genome-wide identification of the introgressive GB components and mapping of the fiber-related QTLs indentified in this study will be beneficial for the simultaneous marker-assistant selection of improved fiber quality and lint yield in upland cotton breeding.