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首页 > 过刊浏览>2024年第25卷第12期 >2042-2057. DOI:10.13430/j.cnki.jpgr.11-20240409002
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甘蓝型油菜苗期地上部7种矿质元素含量的全基因组关联分析
作者:
作者单位:

江汉大学生命科学学院/湖北省汉江流域特色生物资源保护开发与利用工程技术研究中心，武汉 430056

作者简介:

油菜矿质元素含量遗传，E-mail ：lujchz16@lzu.edu.cn

通讯作者:

曾长立，研究方向为植物营养生理与逆境生理、珍稀濒危植物资源保护与利用，E-mail：zengchangli@jhun.edu.cn
万何平，研究方向为油菜耐盐碱遗传，E-mail：wanheping@jhun.edu.cn

基金项目:

农业生物育种国家科技重大专项（2022ZD04010）；国家自然科学基金（U22A20469）；江汉大学一流学科专项（2022XKZX17）


Genome-Wide Association Study of Seven Mineral Element Contents in the Aerial Parts of Brassica napus Seedlings
Author:
Affiliation:

College of Life Sciences，Jianghan University/Hubei Engineering Research Center for Conservation，Development and Utilization of Characteristic Biological Resources in Hanjiang River Basin，Wuhan 430056

Fund Project:

Foundation projects： Agricultural Biological Breeding National Major Science and Technology Project （2022ZD04010）；National Natural Science Foundation of China （U22A20469）； Jianghan University First-Class Discipline Program （2022XKZX17）

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    摘要:

    矿物质元素含量是评估饲草品质和开展品质育种的重要指标。近年来，油菜作为一种优质高产饲料来源，在缓解我国饲料原料短缺方面发挥了重要作用。本研究旨在揭示油菜核心种质中主要矿质元素的遗传变异情况，为选育富含矿质营养元素的饲料油菜提供支持。通过对272份油菜核心种质进行水培处理，并利用电感耦合等离子体发射光谱仪（ICP-OES）测定甘蓝型油菜地上部分中K、Ca、Na、Mg、Fe、Zn、Cu 7种主要矿质元素的含量。利用全基因组关联分析对其中具有重测序数据的261份油菜种质进行分析，筛选出与矿质元素含量显著关联的分子标记，并预测相关的候选基因。研究发现，矿质元素含量在不同种质中存在显著变异。通过主成分分析将7个矿质元素指标转化为3个新指标，累计贡献率为68.479%。部分矿质元素间存在显著的相关性。部分种质材料在多种矿质元素含量上表现出极端值。本研究共定位到134个与矿质元素含量相关的SNP位点，预测到14个候选基因，该研究为富含矿质元素油菜的选育和新种质创制提供了重要依据。

    Abstract:

    The content of mineral elements is a crucial indicator for evaluating forage quality and breeding. In recent years， rapeseed has become a valuable high-yield forage source， playing a key role in alleviating the shortage of feed resources in China. This study aimed to reveal the genetic variation of major mineral nutrients in the core germplasm of Brassica napus and to support the breeding of mineral-rich rapeseed. We evaluated the phenotypic variation in the contents of K， Ca， Na， Mg， Fe， Zn， and Cu in 272 core germplasms of B. napus using ICP-OES after hydroponic treatment. Through GWAS， we identified molecular markers significantly associated with the content of these minerals and predicted related candidate genes. The results showed significant variation in mineral content among different germplasms， and principal component analysis transformed the seven mineral indicators into three new indicators， with a cumulative contribution rate of 68.479%. Some significant positive and negative correlations were found between different minerals； some germplasms exhibited extreme values for multiple minerals. A total of 134 SNPs related to mineral content were identified， and 14 candidate genes were predicted. This study provides important insights for the breeding and creation of new germplasm rich in mineral nutrients.

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鲁金春子,陈敬东,余忆,等.甘蓝型油菜苗期地上部7种矿质元素含量的全基因组关联分析[J].植物遗传资源学报,2024,25(12):2042-2057.

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