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An integrated analysis of mRNA and sRNA transcriptional profiles in tomato root: Insights on tomato wilt disease

Tomato wilt disease caused by Fusarium oxysporum f. sp. lycopersici (FOL) is a worldwide destructive disease of tomato. As exploring gene expression and function approaches constitute an initial point for investigating pathogen-host interaction, we performed RNA-seq and sRNA-seq analysis to investig...

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Detalles Bibliográficos
Autores principales: Zhao, Min, Ji, Hui-Min, Gao, Ying, Cao, Xin-Xin, Mao, Hui-Ying, Ouyang, Shou-Qiang, Liu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218063/
https://www.ncbi.nlm.nih.gov/pubmed/30395631
http://dx.doi.org/10.1371/journal.pone.0206765
Descripción
Sumario:Tomato wilt disease caused by Fusarium oxysporum f. sp. lycopersici (FOL) is a worldwide destructive disease of tomato. As exploring gene expression and function approaches constitute an initial point for investigating pathogen-host interaction, we performed RNA-seq and sRNA-seq analysis to investigate the transcriptome of tomato root under FOL infection. Differentially expressed (DE) protein-coding gene and miRNA gene profiles upon inoculation with FOL were presented at twenty-four hours post-inoculation in four treatments. A total of more than 182.6 million and 132.2 million high quality clean reads were obtained by RNA-seq and sRNA-seq, respectively. A large overlap was found in DE mRNAs between susceptible cultivar Moneymaker and resistant cultivar Motelle. Gene Ontology terms were mainly classified into catalytic activity, metabolic process and binding. Combining with qRT-PCR and Northern blot, we validated the transcriptional profile of five genes and five miRNAs conferred to FOL infection. Our work allowed comprehensive understanding of different transcriptional reaction of genes/miRNAs between the susceptible and resistant cultivars tomato to the FOL challenge, which could offer us with a future direction to generate models of mediated resistance responses.