bioRxivMolecular BiologyPreprint
Integrated RNA-seq and sRNA-seq revealed differences in transcriptome between susceptible and resistant tomato responding to Fusarium oxysporum
Min ZhaoiD, Huimin JiiD, Ying GaoiD, Xin-Xin Cao, Hui‐Ying MaoiD, Peng LiuiD, Shouqiang OuyangiD
Abstract
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 unravel regulated genes and miRNAs in tomato infected by FOL. Differentially expressed (DE) protein coding gene and miRNA gene profiles upon inoculation with FOL were presented at twenty-four hours post-inoculation including four treatments. 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. All Gene Ontology terms were mainly classified into catalytic activity, metabolic process and binding. Combining with qRT-PCR, five disease resistance genes, Solyc01g095630, Solyc03g059080, Solyc00g174340, Solyc11g071750 and Solyc05g050350, were verified to involved in the disease resistance in the resistant cultivar Motelle treated with FOL. Northern blot analysis further confirmed the results from sRNA-Seq and demonstrated that several miRNAs including Sly-miR477-5p, sly-miR167a, novel_mir_675, novel_mir_504 and novel_mir_762 conferred FOL infection. Our data resulted that pathogen resistant genes/miRNAs may play a critical role with the benefit of a coordinated machinery in prompting the response in prompting FOL response in tomato, which offered us with a future direction and surely help in generating models of mediated resistance responses with assessment of genomic gene expression patterns.
- organism: plant (other)
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Comparative Transcriptome Profiling Conferring Of Resistance To Fusarium Oxysporum Infection Between Resistant And Susceptible Tomato
Min Zhao, Hui-Min Ji, … Shou-Qiang Ouyang·bioRxiv·Mar 15, 2017
- Whole Root Transcriptomic Analysis Reveals a Role for Auxin Pathways in Resistance to Ralstonia solanacearum in Tomato
E. French, B. S. Kim, … A. S. Iyer-Pascuzzi·bioRxiv·Aug 16, 2017
- Specific hypersensitive response-associated recognition of new apoplastic effectors from Cladosporium fulvum in wild tomato
C. H. Mesarich, B. Okmen, … P. J. G. M. de Wit·bioRxiv·May 21, 2017
- Transcriptome-based Analysis of Tomato Genotypes Resistant to Bacterial spot (Xanthomonas perforans) Race T4
Rui Shi, Dilip Raj Panthee·International Journal of Molecular SciencesPeer-reviewed·Jun 6, 2020
- Novel Fusarium Wilt Resistance Genes Uncovered in the Wild Progenitors and Heirloom Cultivars of Strawberry
D. D. A. Pincot, M. J. Feldmann, … S. J. Knapp·bioRxiv·Dec 7, 2021
- Gap-free genomes and transcriptomes uncover race-specific effectors in watermelon wilt pathogen Fusarium oxysporum f. sp. niveum
Dilay Hazal Ayhan, Huan Wang, … Li Guo·bioRxiv·Apr 4, 2025