通过基于图像的表型化,探索大豆中与豆相关的特征的遗传架构
Fangguo Chang1, Wenhuan Lv1, Peiyun Lv1
1National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095 China.
Molecular breeding : new strategies in plant improvement
|June 13, 2023
概括
该研究开发了一种基于图像的大豆育种方法,确定了子颜色和大小的关键遗传位置. 这有助于改善大豆品种的标记器辅助选择.
科学领域:
- 植物遗传学 植物遗传学
- 农业科学 农业科学
- 定量性质特征遗传学 遗传学
背景情况:
- 成熟的豆颜色 (PC) 和豆大小 (PS) 对大豆繁殖至关重要.
- 这些特征的手动表型化对育种者来说是低效和昂贵的.
研究的目的:
- 为大豆PC和PS特征开发基于图像的表型化方法.
- 通过全基因组关联研究 (GWAS) 和链接映射,识别控制PC和PS的定量特征位置 (QTL).
主要方法:
- 从大豆关联小组 (SAP) 和复合同血统 (RIL) 种群中收集的小组图像.
- 开发了一种基于图像的方法来提取PC和PS参数.
- 在连续两年进行了GWAS和链接映射.
主要成果:
- 在染色体3和19上确定了两个主要的颜色QTL (qPC3和qPC19).
- 在九个染色体中发现了12个稳定的QTL,用于与子大小相关的特征.
- 使用基因注释和表达数据,在QTL区域内识别了候选基因.
结论:
- 该研究为精细绘制QTL和大豆育种中的标记器辅助选择提供了有价值的遗传信息.
- 开发的基于图像的表型化方法为手工评估提供了有效的替代方案.
- 结果将有助于开发具有可取品种特征的精英大豆品种.
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