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• W2298991749 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." @default.
• W2298991749 created "2016-06-24" @default.
• W2298991749 creator A5019000951 @default.
• W2298991749 creator A5026487938 @default.
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• W2298991749 date "2016-03-14" @default.
• W2298991749 modified "2023-10-09" @default.
• W2298991749 title "Compartmentalized gene regulatory network of the pathogenic fungus <i>Fusarium graminearum</i>" @default.
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• W2298991749 doi "https://doi.org/10.1111/nph.13912" @default.
• W2298991749 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5069591" @default.
• W2298991749 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26990214" @default.
• W2298991749 hasPublicationYear "2016" @default.
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