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使用SNP链接地图在米的繁殖阶段干旱压力下与产量和相关特征相关的QTL的映射

Rahul Kaldate¹, Rahul Kumar Verma², Sanjay Kumar Chetia³

¹Department of Agricultural Biotechnology, Assam Agricultural University (AAU), Jorhat, Assam, 785013, India.

Molecular biology reports

|June 14, 2023

概括

研究人员确定了大米对干旱耐受性的定量特征位点 (QTL). 这些发现可以帮助开发出新品种的米,适应繁殖阶段干旱压力 (RSDS),并提高作物产量.

科学领域:

植物遗传学植物遗传学
农业学是一种农业学.
农作物科学农作物科学

背景情况:

生殖阶段干旱压力 (RSDS) 显著限制了全球大米产量,并导致了大量的产量损失.
开发抗干旱的米品种对于粮食安全至关重要,需要确定干旱耐受性的重大影响定量特征位置 (QTL).

研究的目的:

绘制与生殖阶段干旱压力 (RSDS) 下的水产量和相关特征相关的QTL.
为了确定潜在的候选基因来提高大米的干旱耐受性.

主要方法:

使用3417个由测序 (GBS) 衍生的单核酸多态 (SNP) 标记物生成的和链接地图的构建.
在F3映射种群中使用了包括性复合间隔映射,该种群来自于耐旱 (Koniahu) 和易受干旱 (Disang) 米品种之间的交叉.
在RSDS和灌条件下,在两个赛季中评估了198条F3和F4分离线.

主要成果:

确定了35个控制产量和相关特征的基因组区域,其中23个QTLs特别在RSDS下 (LOD 2.507.83,PVE 2.9512.42%).
在RSDS下,发现了植物高度 (qPH1.29) 和每填充粒数 (qNOG5.12) 的两个主要QTL.
在干旱条件下定位了五个谷物产量的假定QTL (qGY2.00,qGY5.05,qGY6.16,qGY9.19,qGY10.20).
分析了14个QTL区域 (≤10 Mb间隔) 并确定了4146个候选基因,其中2263个被注释为基因本体学 (GO) 术语.

结论:

确定了与谷物产量,产量组件和假定候选基因相关的几个QTL.
这些QTL和候选基因在进一步验证后,可以通过标记器辅助选择 (MAS) 策略来提高大米干旱抵御能力.

关键词:

基因鉴定基因鉴定通过测序进行基因型鉴定.高密度连接地图 - 高密度连接地图.绘制人口的地图.定量性特征位置 (loci loci) 是一个定量性特征位置.生殖阶段干旱压力干旱压力大米大米大米大米大米

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