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在小麦干旱应对机制中的微RNA调节基因网络的重建和计算分析

M A Kleshchev¹, A V Maltseva², E A Antropova¹

¹Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Research Center in the Field of Artificial Intelligence of Novosibirsk State University, Novosibirsk, Russia.

Vavilovskii zhurnal genetiki i selektsii

|February 13, 2025

概括

了解小麦的干旱适应能力至关重要. 这项研究揭示了由microRNAs (miRNAs) 调节的基因网络,突出了关键基因和新型miRNAs,用于增强小麦育种中的抗干旱能力.

科学领域:

植物分子遗传学植物分子遗传学
计算系统生物学计算机系统生物学
农业科学农业科学

背景情况:

干旱压力严重限制了面包小麦 (Triticum aestivum L.) 的生产力.
微RNAs (miRNAs) 是植物适应干旱等非生物压力的关键调节者.
计算系统生物学对于研究复杂的基因调控网络至关重要.

研究的目的:

重建和分析参与小麦miRNA介导干旱适应的基因网络.
确定关键的基因,转录因子和调节小麦对缺水反应的miRNA.
为培育适应气候变化的小麦品种提供见解.

主要方法:

利用ANDSystem软件和小麦遗传学的智能作物知识库.
重建了一个包括144个基因,1017个蛋白质和21个小麦miRNA的基因网络.
分析了miRNA调节的基因及其与干旱适应途径的关联.

主要成果:

重建的小麦基因网络确定了参与芽和根形态发生的关键miRNA目标.
转录因子 (MYBa,WRKY41),HSP90和RPM1被确定为中央miRNA调节的组件.
几种新的miRNAs (MIR7757,MIR9653a,MIR9671,MIR9672b) 与小麦干旱适应有关.

结论:

miRNAs在小麦对干旱的形态适应中发挥着重要作用.
已识别的miRNA和网络组件为增强小麦缺水抵抗提供了潜在的目标.
研究结果支持通过先进的育种策略开发适应气候变化的小麦.

关键词:

系统计算机工具 ANDSystem计算机工具智能作物知识库智能作物知识库关联性基因网络是一种关联性基因网络.面包麦子小麦面包干旱干旱干旱干旱基因基因基因基因遗传调节是一种基因调节.这是一个微型RNA.植物生物信息学植物生物信息学

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