全基因组SNP发现和基因造型划分了潜在的QTL,这些潜在的QTL是麦的主要产量特征的基础
Samiullah Naik1, Jebi Sudan1, Uneeb Urwat1
1Proteomics Laboratory, Division of Plant Biotechnology, Faculty of Horticulture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India.
The plant genome
|January 19, 2024
概括
全基因组关联映射在麦中发现了71个显著的标记特征关联,揭示了基因组区域和改善产量和其他经济重要特征的候选基因.
科学领域:
- 植物遗传学 植物遗传学
- 农业科学 农业科学
- 基因组学就是基因组学.
背景情况:
- 麦 (Fagopyrum spp.) 是一种麦. 是一种具有营养价值的伪谷物,具有重要的功能性食物潜力.
- 利用麦的潜力受到低产量,自我不相容性和易受环境压力的阻碍.
- 有限的基因组学资源阻碍了麦的综合性质改进.
研究的目的:
- 进行全基因组关联映射 (GWAS),以确定与麦的形态和产量相关特征相关的位置.
- 为了确定候选基因和基因组区域用于麦的分子育种.
- 整合表象学和GWAS,以发现与产量特征相关的一致基因组区域.
主要方法:
- 使用全基因组关联映射 (GWAS).
- 通过测序的高通量基因型鉴定确定了34978个单核酸多态 (SNP).
- 在两个地点进行了人口结构分析和定性和定量特征的表征.
主要成果:
- 在八个染色体中发现了71个显著的标记特征关联.
- 候选基因位于100Kb的定量特征位点 (QTLs) 范围内,揭示了对代谢途径的洞察力.
- 发现了一致的基因组区域,相关标记物和产量特征的潜在候选基因.
结论:
- 这项研究为麦产量相关特征的遗传结构提供了宝贵的见解.
- 已识别的QTL和候选基因可以在分子育种计划中用于麦改进.
- 这项研究有助于追踪可取的等位基因,以增强麦生殖质中的经济重要特征.
相关概念视频
Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K
Plant Breeding and Biotechnology
18.9K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
18.9K


