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预测候选miRNAs用于向贝戈莫病毒,以诱导花植物中的序列特定基因沉默

Vineeta Pandey¹, Aarshi Srivastava¹, Akhtar Ali²

¹Department of Biotechnology, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, Uttar Pradesh, India.

Frontiers in plant science

|October 8, 2024

概括

贝戈莫病毒导致叶卷曲疾病 (ChiLCD),影响作物产量. 这项研究确定了新型微RNA (miRNA) 具有针对这些病毒的潜力,有助于开发耐药植物.

科学领域:

植物病理学植物病理学
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

贝戈莫病毒是印度作物的主要威胁,由于叶卷曲疾病 (ChiLCD) 造成了重大经济损失.
了解宿主miRNA和病毒基因之间的分子相互作用对于开发抗病策略至关重要.

研究的目的:

识别和评估微RNAs (miRNAs) 作为潜在的治疗向对抗导致ChiLCD的贝戈莫病毒.
探索miRNA-mRNA相互作用,并确定开发耐药品种的新目标.

主要方法:

利用C-mii工具从的转录组数据中预测20个植物miRNA家族.
采用了五种目标预测算法 (C-mii,miRanda,psRNATarget,RNAhybrid,RNA22) 来识别和评估米米RNA与十种贝戈莫病毒的对比.
用Circos和R程序分析了miRNA-target双重复合物以获得热力学稳定性,并构建了miRNA-mRNA相互作用网络.

主要成果:

确定了五个顶级米米RNA,它们与关键的贝戈病毒基因 (AC1,AC2,betaC1) 有着强烈的互补性.
CA-miR838和CA-miR2673 (a和b) 显示出最佳的热力学稳定性和向的病毒ORF.
发现了新的miRNA目标和建立了miRNA-mRNA相互作用网络,包括以前未报告的米miRNA.

结论:

鉴定到的米米RNAs,特别是miR838和miR2673 (a和b),显示出作为治疗米病毒的治疗对象的巨大潜力.
这项研究为通过基于miRNA的策略开发具有遗传耐药性的植物提供了基础.
这项研究强调了计算方法在发现新型miRNA及其作物改进目标方面的实用性.

关键词:

贝戈莫病毒 (Begomovirus) 是一种病毒.智利是一种.叶曲线疾病叶曲线疾病这是一个小RNARNA.这是miRNA-mRNA相互作用.目标预测算法目标预测算法

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