在小麦中的组合性非生物应激反应的多omics地图
Letitia Da Ros1,2, Venkatesh Bollina1, Raju Soolanayakanahally3
1Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, Saskatchewan, Canada.
The Plant journal : for cell and molecular biology
|May 30, 2023
概括
小麦通过复杂的物理代谢和转录组调整适应环境压力. 系统生物学发现了关键基因,如TaWRKY33,用于增强作物对多重压力的耐受性.
科学领域:
- 植物科学 植物科学
- 基因组学就是基因组学.
- 系统生物学 系统生物学
背景情况:
- 农作物产量受到环境压力的限制,这些压力往往是组合产生的.
- 提高作物耐受性是复杂的,因为特征的多基因性质.
- 针对特定的基因对未来的作物生产需求至关重要.
研究的目的:
- 研究小麦 (Triticum aestivum L.) 对热量,干旱,盐度及其组合的生理代谢和转录组反应.
- 确定关键的基因和参与植物适应非生物压力的调节机制.
- 在压力条件下开发可视化基因表达的资源.
主要方法:
- 系统生物学方法整合了多学科数据.
- 对农业损失,林度和基因表达差异的分析.
- 权重基因共同表达网络分析以确定枢纽基因.
- 开发一个在线eFP浏览器用于基因表达可视化.
主要成果:
- 三重压力条件诱导了植物反应复杂性的显著增加,包括8.7倍多的独特差异表达转录 (DET).
- 确定了152个枢纽基因,其中32%含有乙烯响应元素结合因子关联抑制 (EAR) 动机.
- TaWRKY33被确定为对组合应激增强耐受性的领先候选基因.
结论:
- 多omics数据资源在复杂的环境条件下对基因发现具有强大作用.
- 可以建议灵活的基因组合适应性基因堆叠在小麦.
- 可访问的数据集加快了对改善作物弹性因果基因的验证.
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