ArticleFrontiers in plant science2015
Multi-Omics Approach Identifies Molecular Mechanisms of Plant-Fungus Mycorrhizal Interaction.
Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Phytomycobiomes and Ecosystem Services: Mechanisms, Evidence and Routes to Application.Journal of fungi (Basel, Switzerland) · 2025Review
- Molecular Investigations to Improve Fusarium Head Blight Resistance in Wheat: An Update Focusing on Multi-Omics Approaches.Plants (Basel, Switzerland) · 2024Review
- Morphogenesis and metabolomics reveal the compatible relationship amongMicrobiology spectrum · 2023Article
- A Relationship Prediction Method forJournal of fungi (Basel, Switzerland) · 2023Article
- Morphological and Transcriptional Characteristics of the Symbiotic Interaction betweenJournal of fungi (Basel, Switzerland) · 2022Article
- Cryptic genetic structure and copy-number variation in the ubiquitous forest symbiotic fungus Cenococcum geophilum.Environmental microbiology · 2021Article
- Novel Microdialysis Technique Reveals a Dramatic Shift in Metabolite Secretion during the Early Stages of the Interaction between the Ectomycorrhizal FungusMicroorganisms · 2021Article
- Molecular Characterization, Expression Analysis of Carotenoid, Xanthophyll, Apocarotenoid Pathway Genes, and Carotenoid and Xanthophyll Accumulation inPlants (Basel, Switzerland) · 2021Article
- Construction of sRNA Regulatory Network forFrontiers in genetics · 2021Article
- Seed Metabolism and Pathogen Resistance Enhancement inFrontiers in plant science · 2020Article
- Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.FEMS microbiology reviews · 2019Review
- Data Integration in Poplar: 'Omics Layers and Integration Strategies.Frontiers in genetics · 2019Review
- Transcriptional Regulation of Carotenoid Biosynthesis in Plants: So Many Regulators, So Little Consensus.Frontiers in plant science · 2019Review
- Editorial: Mycorrhizosphere Communication: Mycorrhizal Fungi and Endophytic Fungus-Plant Interactions.Frontiers in microbiology · 2018Article
- Dynamics of Aspen Roots Colonization by Pseudomonads Reveals Strain-Specific and Mycorrhizal-Specific Patterns of Biofilm Formation.Frontiers in microbiology · 2018Article
- Integrated omics analyses of retrograde signaling mutant delineate interrelated stress-response strata.The Plant journal : for cell and molecular biology · 2017Article
- Unearthing the roots of ectomycorrhizal symbioses.Nature reviews. Microbiology · 2016Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In mycorrhizal symbiosis, plant roots form close, mutually beneficial interactions with soil fungi. Before this mycorrhizal interaction can be established however, plant roots must be capable of detecting potential beneficial fungal partners and initiating the gene expression patterns necessary to begin symbiosis. To predict a plant root-mycorrhizal fungi sensor systems, we analyzed in vitro experiments of Populus tremuloides (aspen tree) and Laccaria bicolor (mycorrhizal fungi) interaction and leveraged over 200 previously published transcriptomic experimental data sets, 159 experimentally validated plant transcription factor binding motifs, and more than 120-thousand experimentally validated protein-protein interactions to generate models of pre-mycorrhizal sensor systems in aspen root. These sensor mechanisms link extracellular signaling molecules with gene regulation through a network comprised of membrane receptors, signal cascade proteins, transcription factors, and transcription factor biding DNA motifs. Modeling predicted four pre-mycorrhizal sensor complexes in aspen that interact with 15 transcription factors to regulate the expression of 1184 genes in response to extracellular signals synthesized by Laccaria. Predicted extracellular signaling molecules include common signaling molecules such as phenylpropanoids, salicylate, and jasmonic acid. This multi-omic computational modeling approach for predicting the complex sensory networks yielded specific, testable biological hypotheses for mycorrhizal interaction signaling compounds, sensor complexes, and mechanisms of gene regulation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.