棉花种子油分含量QTL的定位及遗传效应分析

Mapping and genetic effect analysis of QTL for cotton seed oil content

  • 摘要: 【目的】 基于SSR(Simple sequence repeat,简单重复序列)标记对棉花SOC(Seed oil content,种子油分含量)进行关联分析,挖掘优异等位变异位点,解析棉花种子油分含量性状的遗传机理,为棉花高油分育种提供理论参考。 【方法】 利用筛选出覆盖棉花全基因组的145对SSR标记对245份棉花材料进行多态性扫描;利用R语言绘制群体表型分布和相关关系图,采用TASSEL软件的混合线性模型进行关联分析,挖掘与SOC相关的优异等位变异位点。 【结果】 获得34个与SOC相关的等位变异位点(P<0.05)。表型变异解释率为1.83%~8.7%,平均值为5.70%。 【结论】 挖掘到34个与油分含量性状相关等位变异位点,以及棉花纤维品质和产量相关的位点9个。

     

    Abstract: 【Objective】 Based on SSR (Simple sequence repeat) markers, we aim to conduct correlation analysis on cotton SOC (Seed oil content), mine excellent allelic variation sites, and analyze the genetic mechanism of cotton seed oil content traits in the hope of providing a theoretical reference for cotton high-oil content breeding. 【Methods】 145 pairs of SSR markers covering the entire cotton genome were screened to conduct polymorphism scanning on 245 cotton varieties; R language was used to draw population phenotype distribution and correlation diagrams, and the mixed linear model of TASSEL software was used to perform correlation analysis, and mine excellent allelic variation sites related to SOC. 【Results】 34 allelic variation sites related to SOC were obtained (P<0.05). The explanation rate of phenotypic variation ranged from 1.83% to 8.7%, with an average value of 5.70%. 【Conclusion】 This study used correlation analysis to 34 sites related to oil content and cotton fiber quality and yield were discovered 9 sites.

     

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