ArticleThe New phytologist2016
Compartmentalized gene regulatory network of the pathogenic fungus Fusarium graminearum.
Article in The New phytologist, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 49 citations in OpenAlex.
- A Dual-Role Transcription Factor FpCys3 Couples Glucose Sensing to Methionine Biosynthesis and Virulence in Fusarium pseudograminearum.Plant, cell & environment · 2026Article
- Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025Review
- Article
- A conserved fungal Knr4/Smi1 protein is crucial for maintaining cell wall stress tolerance and host plant pathogenesis.PLoS pathogens · 2025Article
- Functional Characterization of Aldehyde Dehydrogenase inMicroorganisms · 2023Article
- Conservation and Expansion of Transcriptional Factor Repertoire in theJournal of fungi (Basel, Switzerland) · 2023Article
- Conservation and Expansion of Transcriptional Factor Repertoire in thebioRxiv : the preprint server for biology · 2023Article
- Genome Sequence Resource ofMolecular plant-microbe interactions : MPMI · 2023Article
- Construction of a Hierarchical Gene Regulatory Network to Reveal the Drought Tolerance Mechanism of Shanxin Poplar.International journal of molecular sciences · 2022Article
- Functional Identification ofBiomolecules · 2022Article
- Practical application of a Bayesian network approach to poultry epigenetics and stress.BMC bioinformatics · 2022Article
- Transcriptome Dynamics Underlying Chlamydospore Formation inFrontiers in microbiology · 2021Article
- A comprehensive transcription factor and DNA-binding motif resource for the construction of gene regulatory networks inComputational and structural biotechnology journal · 2021Article
- Accessory Chromosomes inPhytopathology · 2020Review
- Dynamic network inference and association computation discover gene modules regulating virulence, mycotoxin and sexual reproduction in Fusarium graminearum.BMC genomics · 2020Article
- Use of Dual RNA-seq for Systems Biology Analysis ofFrontiers in microbiology · 2020Article
- Integration of Cross Species RNA-seq Meta-Analysis and Machine-Learning Models Identifies the Most Important Salt Stress-Responsive Pathways in MicroalgaFrontiers in genetics · 2019Article
- Expression of a Structural Protein of the Mycovirus FgV-ch9 Negatively Affects the Transcript Level of a Novel Symptom Alleviation Factor and Causes Virus Infection-Like Symptoms in Fusarium graminearum.Journal of virology · 2018Article
- Comparison of gene co-networks reveals the molecular mechanisms of the rice (Oryza sativa L.) response to Rhizoctonia solani AG1 IA infection.Functional & integrative genomics · 2018Article
- Identification of Antifungal Targets Based on Computer Modeling.Journal of fungi (Basel, Switzerland) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head blight caused by Fusarium graminearum threatens world-wide wheat production, resulting in both yield loss and mycotoxin contamination. We reconstructed the global F. graminearum gene regulatory network (GRN) from a large collection of transcriptomic data using Bayesian network inference, a machine-learning algorithm. This GRN reveals connectivity between key regulators and their target genes. Focusing on key regulators, this network contains eight distinct but interwoven modules. Enriched for unique functions, such as cell cycle, DNA replication, transcription, translation and stress responses, each module exhibits distinct expression profiles. Evolutionarily, the F. graminearum genome can be divided into core regions shared with closely related species and variable regions harboring genes that are unique to F. graminearum and perform species-specific functions. Interestingly, the inferred top regulators regulate genes that are significantly enriched from the same genomic regions (P < 0.05), revealing a compartmentalized network structure that may reflect network rewiring related to specific adaptation of this plant pathogen. This first-ever reconstructed filamentous fungal GRN primes our understanding of pathogenicity at the systems biology level and provides enticing prospects for novel disease control strategies involving the targeting of master regulators in pathogens. The program can be used to construct GRNs of other plant pathogens.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.