全基因组关联研究确定了与玉米的叶绿素含量相关的新型SNP
Yueting Jin1, Dan Li1, Meiling Liu1
1College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China.
Genes
|May 27, 2023
概括
研究人员使用全基因组关联研究确定了影响玉米叶含量的关键基因. 这一发现有助于开发更高产量的玉米品种,通过了解影响光合作用的遗传因素.
科学领域:
- 植物遗传学 植物遗传学
- 农业科学 农业科学
- 分子生物学分子生物学
背景情况:
- 叶绿素对于光合作用和玉米的作物产量至关重要.
- 了解叶绿素含量的遗传控制对于改善玉米生产至关重要.
研究的目的:
- 为了确定与素含量及其在玉米中的动态变化相关的候选基因.
- 为培育高产玉米品种提供遗传洞察力.
主要方法:
- 全基因组关联研究 (GWAS) 在378个玉米杂交系进行.
- 叶绿素含量和叶绿素含量曲线下的面积的表型评估 (AUCCC).
- 单核酸多态 (SNP) 和相关候选基因的识别和分析.
主要成果:
- 对于叶绿素含量及其动态变化的中度遗传性 (0.66/0.67).
- 发现了与76个候选基因相关的19个SNP.
- 一个SNP (2376873-7-G) 对叶绿素含量和AUCCC联合定位,与Zm00001d026568和Zm00001d026569.9基因密切相关.
结论:
- 基因Zm00001d026568 (五三蛋白重复含蛋白) 和Zm00001d026569 (塑性棕酸载体蛋白硫酶) 是含量的关键候选者.
- 这些基因的更高表达与增加的叶绿素含量相关.
- 这些发现为发现叶绿素含量基因和开发高产玉米提供了基础.
关键词:
在GWAS中,GWAS就是GWAS.叶绿素含量曲线下的面积.候选基因预测 候选基因预测含有叶绿素的叶绿素含量耳朵的叶子耳朵的叶子玉米 (Zea mays) 是一种植物.单核酸多形态的单核酸多形态更多相关视频
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