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陆地棉纤维品质性状关联分析及优异等位基因挖掘
张素君,李兴河,唐丽媛,王海涛,刘存敬,蔡肖,张香云,张建宏
0
(河北省农林科学院棉花研究所/农业部黄淮海半干旱区棉花生物学与遗传育种重点实验室/国家棉花改良中心河北分中心,石家庄 050051)
摘要:
本研究检测了 214 份陆地棉材料在多环境下的纤维品质指标(上半部平均长度、断裂比强度、马克隆值、伸长率 和整齐度),选用在棉花基因组上均匀分布多态性较好 259个 SSR 标记对供试群体进行基因型检测,利用 Tassel 软件中的 GLM(Q)方法挖掘与纤维品质指标相关的 QTLs,依据表型效应值鉴别优异等位变异位点及典型材料。结果显示:同一纤维品 质性状在 3个地点 2~3 年内变化趋势相对稳定,纤维上半部平均长度、断裂比强度和整齐度三者之间呈正相关(P<0.01), 纤维上半部平均长度/断裂比强度均和马克隆值/伸长率负相关。259 个 SSR 标记共检测到 309个等位基因,涉及 774个基因型, 多态性信息含量(polymorphic information content PIC)平均为 0.2688,基因多样性指数平均 0.2239。按照基因型数据可将该 群体划分为 2个亚群。通过关联分析获得与纤维品质相关的等位变异位点 134个(P<0.01),在 3 个及以上环境中均可检测 到的位点有 30个,有 3个位点(NAU6177,DPL0886,NAU3607)在 6个以上环境中分别与纤维上半部平均长度/比断裂强度、 马克隆、伸长率显著关联(P<0.01),最高表型变异解释率分别为 11.14%、5.74%和 13.99%。32个位点同时与两个及以上纤 维品质指标相关,其中,NAU 6177 与 5个纤维品质指标均显著关联(P<0.01)。与已发表结果比对,17个 QTL 已被报道与纤 维品质性状相关,10个 QTL 与前人关联指标相同。分析多环境纤维品质关联位点的表型效应,获得 72个等位变异位点,5份 携带优异等位基因载体材料。本研究在多环境下挖掘与陆地棉纤维品质指标关联的分子标记,同时鉴别携带优异等位变异基 因的典型载体材料,为棉花纤维品质分子标记辅助选择及目标基因定位提供有益信息。
关键词:  陆地棉  SSR  纤维品质  关联分析  等位变异
DOI:10.13430/j.cnki.jpgr.20200409003
投稿时间:2020-04-09修订日期:2020-05-28
基金项目:国家重点研发计划(2016YFD0101415);河北省科技计划项目(16226303D);河北省农林科学院创新工程(2019-3-7-1,2019-3-7-4); 河北省自然科学基金(C2013301067)
Exploration of Elite Alleles Related with Fibre Quality Traits in Gossypium hirsutum L. by Association Analysis
ZHANG Su-jun, LI Xing-he, TANG Li-yuan, WANG Hai-tao, LIU Cun-jing, CAI Xiao, ZHANG Xiang-yun, ZHANG Jian-hong
(Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences/ Key Laboratory Biology and Genetic Improvement of Cotton in Huanghuaihai Semiarid Area/National Cotton Improvement Center Hebei Branch ,Ministry of Agriculture,P.R,China, Shijiazhuang 050051)
Abstract:
This study investigated five fiber quality indexes (Fiber upper half mean length FUHML, Fiber strength FS, Micronaire value MV, Fiber elongation FE, Fiber uniformity FU) of 214 upland cotton genotypes under seven environmental conditions, followed by marker-assisted diversity analysis with 259 SSRs that are distributed on 26 chromosomes. By mining for markers associated with phenotypic datasets using GLM (General Linear Model) (Q) in TASSEL software, excellent allelic variants and the genotypes harboring elite alleles were finally identified. As a result, datasets at fiber quality traits in two to three years at three locations represented a similarity on trend. A positive correlation were observed among FUHML, FS and FU (P <0.01), while FUHML/FS and MV/FE were negatively correlated. Genotyping with 259 SSR markers revealed 309 alleles and 774 combinations, with an average polymorphic information content (PIC) per marker and genetic diversity index of 0.2688 and 0.2239, respectively. These genotypes were divided into two subgroups by population genetic structure analysis. A total of 134 loci associated with fiber quality traits were detected (P < 0.01), and thirty loci were detected at multiple experiments. Three loci (NAU6177, DPL0886, NAU3607) were found to be significantly associated with FUHML/FS, MV and FE respectively at more than six environments (P < 0.01), and they contributed up to 11.14 %, 5.74 % and 13.99 %, respectively. Thirty-two loci were associated with more than two fiber traits. For example, the locus NAU6177 was found to be associated with five fiber quality indexes (P < 0.01). Compared with reported results, 17 QTLs in this study have been previously reported, and 10 of them were identical. Moreover, 72 alleles related with fiber quality were identified, and five genotypes carrying elite alleles were obtained. Thus, this study identified a set of functional markers associated with fiber quality as well as elite germplasm resources, which provided a reference for marker-assisted selection of upland cotton about fiber quality.
Key words:  Upland cotton  fiber quality  population structure  association analysis  allelic variation

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