Elucidating circRNA-miRNA-mRNA competing endogenous regulatory RNA network during leaf rust pathogenesis in wheat (Triticum aestivum L.).

Advancements in bioinformatic tools and breakthroughs in high throughput RNA sequencing have unveiled the potential role of non-coding RNAs in influencing the overall expression of disease-responsive genes. Owing to the increasing need to develop resilient crop varieties against environmental constraints, our study explores the functional relationship of various non-coding RNAs in wheat during leaf rust pathogenesis. MicroRNAs (miRNAs) and circular RNAs (circRNAs) were retrieved from SAGE and RNA-Seq libraries, respectively, in the susceptible (HD2329) and resistant (HD2329 + Lr28) wheat Near-Isogenic Lines (NILs). Here we explored the previously published circRNAs for their differential expression and correlated the data with the differentially expressed miRNAs (DEMs) through various in silico methods to acquire the target miRNAs of circRNAs and the downstream target mRNAs of miRNAs. Finally, a competing endogenous RNA (ceRNAs) regulatory network was constructed and validated through RT-qPCR method. We have identified the ceRNA regulatory network of four differentially expressed circRNAs (DECs) and five DEMs to highlight their crucial roles in the robust enhancement of the temporal expression profiles of five defense responsive genes (mRNAs) in wheat NILs against leaf rust infection. The study confirms the synergistic expression of circRNAs and mRNAs with an antagonistic correlation with the expression profile of the corresponding miRNAs. The vital role of leaf rust-resistant gene Lr28 has also been highlighted for driving the efficiency of the circRNAs to upregulate target gene expression. Thus, understanding the circRNA-miRNA-target gene interaction during leaf rust pathogenesis can help to identify stress-specific regulatory biomarkers to enhance defense responses in wheat for improved resilience through multi-omics integration of transcriptomics, proteomics and metabolomics.