在小麦中进行基因组选择的Skim-sequencing:标记平台的比较
Jared L Crain1, José Crossa2, Lee DeHaan3
1Department of Plant Pathology, Kansas State University, 4024 Throckmorton Plant Sciences Center, Manhattan, Kansas, USA.
The plant genome
|January 31, 2026
概括
超低全基因组测序覆盖率 (skim-seq) 为植物育种提供了一个负担得起和高效的分子标记平台. 这种方法对基因组变化具有稳定性,对小麦的基因组预测有希望.
科学领域:
- 植物基因组学 植物基因组学
- 农业生物技术 农业生物技术
- 分子育种是一种分子育种.
背景情况:
- 基因组学辅助育种需要具有成本效益和丰富的分子标记物.
- 现有的方法面临着基因组和技术进步带来的挑战.
研究的目的:
- 评估超低全基因组测序覆盖率 (skim-seq) 作为一个可行的分子标记平台.
- 评估skim-seq在小麦 (Triticum aestivum) 的基因组选择中的实用性.
主要方法:
- 通过使用skim-seq (0.07x),基因型测序 (GBS) 和DArTAG SNP面板对1709个小麦系进行基因型定型.
- 在没有高覆盖率样本的情况下,使用STITCH软件识别的变异和归算的标记.
- 对每个标记平台使用表型数据进行了五次交叉验证.
主要成果:
- 在归算后,Skim-seq提供了121,437个具有高归算精度 (>97.5%) 的标记.
- 基因型测序 (GBS) 经常产生最高的预测准确度.
- Skim-seq相关性与GBS可比,表明它对基因组预测的可行性.
结论:
- Skim-seq是一种灵活而有前途的标记器策略,用于植物育种中的基因组预测.
- 这种方法弥合了针对性基因型和全基因组测序之间的差距.
- Skim-seq的适应性表明,它有可能被植物育种界广泛采用.
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