Muslu Tugdem, Kahraman Kadriye, Akpinar Bala Ani, Cagirici Halise Busra, Jaronski Egan, Bradley Cliff, Budak Hikmet
Montana BioAgriculture, Inc., Missoula, MT, 59802, USA.
Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.
Sci Rep. 2025 Apr 30;15(1):15167. doi: 10.1038/s41598-025-00067-6.
Wheat (Triticum aestivum L.) is a major source of global food security while various stressors, including biotic and abiotic factors, directly affect its production. Among these stressors, Fusarium infection poses a significant risk, leading to severe yield losses, and compromising the overall quality of the crop. To understand the regulatory mechanisms modulating wheat's response against Fusarium Head Blight (FHB) stress, a comprehensive analysis of the noncoding RNA profiles of two wheat varieties, Vida and Hank, was conducted. A dataset has been generated utilizing high throughput RNA sequencing (RNAseq) and small RNA sequencing (sRNAseq) technologies for identifying and characterizing microRNA (miRNA) and long noncoding RNA (lncRNA) profiles of these cultivars and the changes upon Fusarium infection. Our analysis revealed not only common but also cultivar- and condition-specific miRNAs and lncRNA transcripts, showing the unique regulatory responses exhibited by these wheat varieties under Fusarium stress. Furthermore, the functional properties of the identified miRNAs were investigated by identifying their putative coding sequence (CDS) targets. Additionally, the regulatory relationships between the putative miRNAs and lncRNAs were explored, providing a view of the complex molecular networks coordinating wheat's response against Fusarium infection. The proposed regulatory network includes the dynamic interplay between miRNAs, CDS targets, and lncRNAs, offering insights into potential key players in the adaptive responses of wheat to biotic stressors.
小麦(Triticum aestivum L.)是全球粮食安全的主要来源,而包括生物和非生物因素在内的各种应激源直接影响其产量。在这些应激源中,镰刀菌感染构成重大风险,导致严重的产量损失,并损害作物的整体质量。为了了解调节小麦对赤霉病(FHB)应激反应的调控机制,对两个小麦品种Vida和Hank的非编码RNA谱进行了全面分析。利用高通量RNA测序(RNAseq)和小RNA测序(sRNAseq)技术生成了一个数据集,用于鉴定和表征这些品种的微小RNA(miRNA)和长链非编码RNA(lncRNA)谱以及镰刀菌感染后的变化。我们的分析不仅揭示了常见的,还揭示了品种和条件特异性的miRNA和lncRNA转录本,显示了这些小麦品种在镰刀菌胁迫下表现出的独特调控反应。此外,通过鉴定其推定的编码序列(CDS)靶标来研究已鉴定miRNA的功能特性。此外,还探索了推定的miRNA和lncRNA之间的调控关系,提供了一个协调小麦对镰刀菌感染反应的复杂分子网络的视图。所提出的调控网络包括miRNA、CDS靶标和lncRNA之间的动态相互作用,为小麦对生物应激源适应性反应中的潜在关键参与者提供了见解。