Ĭampo S, Peris-Peris C, Siré C, Moreno AB, Donaire L, Zytnicki M, Notredame C, Llave C, San Segundo B (2013) Identification of a novel microRNA (miRNA) from rice that targets an alternatively spliced transcript of the Nramp6 (Natural resistance-associated macrophage protein 6) gene involved in pathogen resistance. Funct Integr Genomics 15:523–531īurkhardt A, Day B (2016) Transcriptome and small RNAome dynamics during a resistant and susceptible interaction between cucumber and downy mildew. Agronomy 9:892īudak H, Akpinar BA (2015) Plant miRNAs: biogenesis, organization and origins. Russ J Genet Appl Res 6:344–350īhardwaj SC, Singh GP, Gangwar OP, Prasad P, Kumar S (2019) Status of wheat rust research and progress in rust management-Indian context. Plant Cell 30:272–284īaranova OA, Lapochkina IF, Anisimova AV, Gajnullin NR, Iordanskaya IV, Makarova IY (2016) Identification of Sr genes in new common wheat sources of resistance to stem rust race Ug99 using molecular markers. Īxtell MJ, Meyers BC (2018) Revisiting criteria for plant microRNA annotation in the era of big data. Īlaux M, Rogers J, Letellier T, Flores R, Alfama F, Pommier C, Mohellibi N, Durand S, Kimmel E, Michotey C, Guerche C, Loaec M, Lainé M, Steinbach D, Choulet F, Rimbert H, Leroy P, Guilhot N, Salse J, Feuillet C, Paux E, Eversole K, Adam-Blondon A-F, Quesneville H, Consortium IWGS (2018) Linking the international wheat genome sequencing consortium bread wheat reference genome sequence to wheat genetic and phenomic data. Īhmed F, Senthil-Kumar M, Lee S, Dai X, Mysore KS, Zhao PX (2014) Comprehensive analysis of small RNA-seq data reveals that combination of miRNA with its isomiRs increase the accuracy of target prediction in Arabidopsis thaliana. Graphical abstractĪbuqamar S, Ajeb S, Sham A, Enan MR, Iratni R (2013) A mutation in the expansin-like A2 gene enhances resistance to necrotrophic fungi and hypersensitivity to abiotic stress in Arabidopsis thaliana. Time-course expression analysis of pathogen-responsive miRNAs.Chromosomal location and functional prediction of miRNAs.Identification and comparative analysis of stem and leaf rust–responsive miRNAs.The outcome from the analysis of microRNA dynamics among two rust diseases and further characterization of identified microRNAs can contribute to significant novel insights on wheat-rust interactions and rust management. Disclosure of guide strand, passenger strand and a variant of novel-Tae-miR02 from different subgenome origins might serve as a potential link between stem and leaf rust defence mechanisms downstream to respective R-genes. Differential expression pattern of miRNAs among various treatments as well as time-course expression of miRNAs revealed stem and leaf rust–responsive miRNAs and their possible role in balancing disease resistance/susceptibility. Temporal differential expression pattern of miRNAs pinpoints their role during the progress of infection. The comparative analysis between two disease sets provides a better understanding of altered miRNA profiles associated with respective R-genes and infections. microRNA mining in stem rust–inoculated cultivars revealed a total of distinct 26 known and 7 novel miRNAs, and leaf rust libraries culminated with 22 known and 4 novel miRNAs. Here, small RNA sequencing was performed on susceptible and resistant wheat near-isogenic lines inoculated with stem and leaf rust pathotypes. This study identified microRNAs associated with Sr36 and Lr45 disease resistance genes in response to stem and leaf rust, respectively. However, evolution of new fungal races and infection strategies put forward the urgency of unravelling novel molecular players, including non-coding RNAs for plant response. The R-gene-mediated resistance has been employed as an efficient approach to develop rust-resistant varieties.
Wheat rusts remain a major threat to global wheat production and food security.
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