中国农业科学

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最新录用:花生每荚种子数相关性状的QTL定位

郝静,李秀坤,崔顺立,邓洪涛,侯名语,刘盈茹,杨鑫雷,穆国俊,刘立峰   

  1. 河北农业大学农学院/华北作物改良与调控国家重点实验室/河北省种质资源实验室,河北保定071001
  • 发布日期:2022-05-11

QTL mapping for traits related to seed number per pod in Peanut (Arachis hypogaea L.)

HAO Jing, LI XiuKun, CUI ShunLi, DENG HongTao, HOU MingYu, LIU YingRu, YANG XinLei, MU GuoJun, LIU LiFeng   

  1. College of Agronomy, Hebei Agricultural University/State Key Laboratory of North China for Crop Improvement and Regulation/Key laboratory of Crop Germplasm Resources of Hebei Province, Baoding 071001, Hebei 
  • Online:2022-05-11

摘要: 【目的】花生是重要的油料作物和经济作物,高产一直是花生育种的主要目标,决定产量的因素是单位面积的种子数和仁重。单位面积种子数是种植密度、每株荚数和每荚种子数的乘积。因此,对花生每荚果种子数相关性状进行QTL分析,有助于发掘该性状相关基因/位点,为花生产量相关性状分子育种提供重要的理论依据。【方法】以四粒红×冀农黑3号构建的RIL群体为研究材料,于2018年(E1)和2020年(E2)在河北省保定市河北农业大学清苑试验站(115°30′E38°40′N)种植鉴定,收获时调查统计单仁果数、双仁果数以及多仁果数表型值,利用河北农业大学花生创新团队实验室构建的高密度遗传图谱,采用QTL Icimapping V4.2中的完备区间作图法对2个环境下的每荚种子数相关性状进行QTL定位与分析。【结果】单仁果率与双仁果率均呈正态分布,多仁果率呈偏正态分布。3个性状的QTL定位分析共检测到11个QTL,可解释表型变异为4.66%—22.34%,加性效应为-9.35—9.42。其中,多仁果率定位到5个QTL,可解释表型变异的3.19%—22.34%,有1个QTL的加性效应为负值(-4.77),由父本冀农黑3号提供等位基因,其余4个QTL的加性效应为正值(3.59—9.42),均由母本四粒红提供等位基因;单仁果率定位到2个QTL,可解释表型变异的4.97%—6.43%,加性效应均为负值(-4.45和-4.54),由父本提供等位基因;双仁果率定位到4个QTL,可解释表型变异的3.46%—20.87%,加性效应均为负值(-9.35—-3.84),由父本提供等位基因。这些QTL中,6个为主效QTL,其中,qRMSPA05被重复检测到,且可遗传表型变异在16.58%—17.34%,加性效应为7.69—8.12。【结论】定位了6个主效QTL1个主效稳定的多仁果率QTL,这些定位到的重要QTL位点有助于改良花生产量性状。可以作为遗传改良的重要候选区段,用于分子标记辅助选择与精细定位研究。


关键词: 花生, 产量相关性状, 每荚种子数, QTL, 重组自交系

Abstract: ObjectivePeanut (Arachis hypogaea L.) is one of the important vegetable oil and cash crop. High yield is always the predominant objective in peanut breeding and determined by seed number per unit area and seed weight. Seed number per unit area is produced by planting density per unit area×number of pods per plant×number of seeds per pod. Therefore, the genetic dissection of the number of seeds per pod is helpful to explore the gene/locus related to this trait, which provides an important theoretical basis for the molecular breeding of yield in peanut.Method】A RIL population, derived from Silihong×Jinonghei 3, were planted at Qingyuan experimental station of Hebei Agricultural University in Baoding city Hebei province in 2018(E1) and 2020(E2) . Phenotypic values of traits associated with the number of one seed pods per plant, two seeds pods per plant and multiple pods per plant were investigated at harvest stage. By using the genetic linkage map constructed by laboratory of Peanut innovation team, Hebei Agricultural University and software of QTL Icimapping V4.1(the Inclusive composite interval Mapping (ICIM)), QTL mapping for the number of seeds per pod was carried out under two environments.ResultThe results showed that the rates of one seed pods per plant and two seeds pods per plant were normal distribution, while the rate of multiple pods per plant was skewed normal distribution. A total of 11 QTLs were detected for the three traits, which could explain the phenotypic variation of 4.66%-22.34% and the additive effects of -9.35-9.42. Among of them, 5 QTLs for the rate of multiple pods per plant with explained 3.19% to 22.34% of phenotypic variation were obtained. The additive effect of one QTL was negative (-4.77), and the allele was provided by the male parent, while the additive effect of the other four QTL was positive (3.59-9.42), and the alleles were supplied by female parent. Two QTLs for the rate of one seed pods per plant were mapped with explained 4.97%-6.43% of phenotypic variation. The additive effects of the two QTLs were negative (-4.45 and -4.54), and the alleles were provided by the male parent. Four QTLs for the rate of two seed pods per plant were located with explained 4.97%-6.43% of phenotypic variation. The additive effects of the four QTLs were negative (-9.35--3.84), and the alleles were provided by the male parent. Among of these QTLs, 6 QTLs were major QTLs, of which qRMSPA05 was repeatedly detected, and the heritable phenotypic variation was 16.58%-17.34%, and. the additive effect was 7.69-8.12.ConclusionSix major QTLs and one major stable QTL for multiple pods per plant were identified, which will be helpful for improving the yield traits in peanut. The results can be used as important candidate segments for genetic improvement, and molecular marker assisted selection and fine mapping.


Key words: peanut, pod-related traits, the number of seeds per pod, QTL, RILs