泛基因组学与人工智能和精密育种相结合,可以加速作物改进
Teng Li1, Shameela Mohamedikbal1, Mitchell Bestry1
1Centre for Applied Bioinformatics, University of Western Australia, Perth, Western Australia, Australia; School of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.
Current opinion in plant biology
|November 17, 2025
概括
泛基因组学揭示了超越单个基因组的植物遗传多样性. 本综述涵盖了在作物育种中用于增强特征选择和改进的新方法和应用.
科学领域:
- 植物基因组学 植物基因组学
- 生物信息学是一种生物信息学.
- 农作物科学 农作物科学
背景情况:
- 单个参考基因组限制了对植物遗传多样性的理解.
- 泛基因组学捕捉了广泛的基因组变异,以获得全面的观点.
- 测序和计算工具的进步正在推动泛基因组的发展.
研究的目的:
- 审查植物泛基因组学方面的方法突破.
- 突出泛基因组学在作物育种中的应用.
- 讨论当前的挑战和该领域的未来方向.
主要方法:
- 长时间阅读测序技术的进步.
- 开发基于图形的万象群构造工具.
- 整合人工智能和多体经济学方法.
主要成果:
- 由于方法的进步,泛种变得越来越准确和普遍.
- 泛基因组学使基于单元型的选择成为可能,并改善了基因组选择的预测.
- 应用包括标记物发现,基因组编辑目标识别和基因特征关联.
结论:
- 泛基经济学为改善作物和育种策略提供了宝贵的见解.
- 应对当前的挑战将进一步推进泛基因组学的应用.
- 未来的研究方向包括改进工具和扩大泛基因组数据集.
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