ArticleScientific reports2018
The dynamic transcriptome and metabolomics profiling in Verticillium dahliae inoculated Arabidopsis thaliana.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 41 citations in OpenAlex.
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- A Cotton Laccase Confers Disease Resistance Against Verticillium dahliae by Promoting Cell Wall Lignification.Molecular plant pathology · 2025Article
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- Unraveling verticillium wilt resistance: insight from the integration of transcriptome and metabolome in wild eggplant.Frontiers in plant science · 2024Article
- Tissues and mechanisms associated with Verticillium wilt resistance in tomato using bi-grafted near-isogenic lines.Journal of experimental botany · 2023Article
- Functional Identification ofBiomolecules · 2022Article
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- PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process.Nucleic acids research · 2022Article
- The heat shock factor GhHSFA4a positively regulates cotton resistance toFrontiers in plant science · 2022Article
- Pathophysiology and transcriptomic analysis ofFrontiers in plant science · 2022Article
- BIN2 negatively regulates plant defence against Verticillium dahliae in Arabidopsis and cotton.Plant biotechnology journal · 2021Article
- High throughput sequencing unravels tomato-pathogen interactions towards a sustainable plant breeding.Horticulture research · 2021Review
- Opportunities and Challenges in Studies of Host-Pathogen Interactions and Management ofPlants (Basel, Switzerland) · 2020Review
- Hop Polyphenols in Relation to Verticillium Wilt Resistance and Their Antifungal Activity.Plants (Basel, Switzerland) · 2020Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Verticillium wilt caused by the soil-borne fungus Verticillium dahliae is a common, devastating plant vascular disease notorious for causing economic losses. Despite considerable research on plant resistance genes, there has been little progress in modeling the effects of this fungus owing to its complicated pathogenesis. Here, we analyzed the transcriptional and metabolic responses of Arabidopsis thaliana to V. dahliae inoculation by Illumina-based RNA sequencing (RNA-seq) and nuclear magnetic resonance (NMR) spectroscopy. We identified 13,916 differentially expressed genes (DEGs) in infected compared with mock-treated plants. Gene ontology analysis yielded 11,055 annotated DEGs, including 2,308 for response to stress and 2,234 for response to abiotic or biotic stimulus. Pathway classification revealed involvement of the metabolic, biosynthesis of secondary metabolites, plant-pathogen interaction, and plant hormone signal transduction pathways. In addition, 401 transcription factors, mainly in the MYB, bHLH, AP2-EREBP, NAC, and WRKY families, were up- or downregulated. NMR analysis found decreased tyrosine, asparagine, glutamate, glutamine, and arginine and increased alanine and threonine levels following inoculation, along with a significant increase in the glucosinolate sinigrin and a decrease in the flavonoid quercetin glycoside. Our data reveal corresponding changes in the global transcriptomic and metabolic profiles that provide insights into the complex gene-regulatory networks mediating the plant's response to V. dahliae infection.
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