ArticleMicroorganisms2019
Tomato RNA-seq Data Mining Reveals the Taxonomic and Functional Diversity of Root-Associated Microbiota.
Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Microbial communities in filth flies collected from dairy and poultry farms for supplemental animal feed.Journal of economic entomology · 2026Article
- Characterization of transcriptional and metabolic responses to a complex plant growth-promoting soil inoculum.Plant biology (Stuttgart, Germany) · 2025Article
- Foliar mycobiome remains unaltered under urban air-pollution but differentially express stress-related genes.Microbial ecology · 2024Article
- Microbiome-Mediated Strategies to Manage Major Soil-Borne Diseases of Tomato.Plants (Basel, Switzerland) · 2024Review
- Transcriptome and metabonomics combined analysis revealed the energy supply mechanism involved in fruiting body initiation in Chinese cordyceps.Scientific reports · 2023Article
- New-Generation Sequencing Technology in Diagnosis of Fungal Plant Pathogens: A Dream Comes True?Journal of fungi (Basel, Switzerland) · 2022Review
- Abiotic Stress and Belowground Microbiome: The Potential of Omics Approaches.International journal of molecular sciences · 2022Review
- Transcriptome and Metabonomics Combined Analysis Revealed the Defense Mechanism Involved in Hydrogen-Rich Water-Regulated Cold Stress Response ofFrontiers in plant science · 2022Article
- Holo-omics for deciphering plant-microbiome interactions.Microbiome · 2021Review
- Coupling the endophytic microbiome with the host transcriptome in olive roots.Computational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Next-generation approaches have enabled researchers to deeply study the plant microbiota and to reveal how microbiota associated with plant roots has key effects on plant nutrition, disease resistance, and plant development. Although early "omics" experiments focused mainly on the species composition of microbial communities, new "meta-omics" approaches such as meta-transcriptomics provide hints about the functions of the microbes when interacting with their plant host. Here, we used an RNA-seq dataset previously generated for tomato (
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Registered trials
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