Evidence map›Paper›PMID 27608421›Full record

ArticleMolecular plant pathology2018

Condition-dependent co-regulation of genomic clusters of virulence factors in the grapevine trunk pathogen Neofusicoccum parvum.

Mélanie Massonnet, Abraham Morales-Cruz, Rosa Figueroa-Balderas, Daniel P Lawrence, Kendra Baumgartner, Dario Cantu

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Grapevine exarcerbates the virulence ofFrontiers in plant science · 2026
    Article
  3. Review
  4. Genomic Insights intoJournal of fungi (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Identification of a CJournal of fungi (Basel, Switzerland) · 2022
    Article
  8. Unveiling the Secretome of the Fungal Plant PathogenJournal of fungi (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Diversity ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Article
  15. Insights of theJournal of fungi (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Phylogenomics of Plant-AssociatedFrontiers in microbiology · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Mélanie MassonnetDepartment of Viticulture and Enology, University of California Davis, Davis, CA, 95616, USA.
Abraham Morales-CruzDepartment of Viticulture and Enology, University of California Davis, Davis, CA, 95616, USA.
Rosa Figueroa-BalderasDepartment of Viticulture and Enology, University of California Davis, Davis, CA, 95616, USA.
Daniel P LawrenceDepartment of Plant Pathology, University of California Davis, Davis, CA, 95616, USA.
Kendra BaumgartnerUS Department of Agriculture - Agricultural Research Service, Crops Pathology and Genetics Research Unit, Davis, CA, 95616, USA.
Dario CantuDepartment of Viticulture and Enology, University of California Davis, Davis, CA, 95616, USA.ORCID 0000-0002-4858-1508
University of California, Davis · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ascomycete Neofusicoccum parvum, one of the causal agents of Botryosphaeria dieback, is a destructive wood-infecting fungus and a serious threat to grape production worldwide. The capability to colonize woody tissue, combined with the secretion of phytotoxic compounds, is thought to underlie its pathogenicity and virulence. Here, we describe the repertoire of virulence factors and their transcriptional dynamics as the fungus feeds on different substrates and colonizes the woody stem. We assembled and annotated a highly contiguous genome using single-molecule real-time DNA sequencing. Transcriptome profiling by RNA sequencing determined the genome-wide patterns of expression of virulence factors both in vitro (potato dextrose agar or medium amended with grape wood as substrate) and in planta. Pairwise statistical testing of differential expression, followed by co-expression network analysis, revealed that physically clustered genes coding for putative virulence functions were induced depending on the substrate or stage of plant infection. Co-expressed gene clusters were significantly enriched not only in genes associated with secondary metabolism, but also in those associated with cell wall degradation, suggesting that dynamic co-regulation of transcriptional networks contributes to multiple aspects of N. parvum virulence. In most of the co-expressed clusters, all genes shared at least a common motif in their promoter region, indicative of co-regulation by the same transcription factor. Co-expression analysis also identified chromatin regulators with correlated expression with inducible clusters of virulence factors, suggesting a complex, multi-layered regulation of the virulence repertoire of N. parvum.

Indexed as

Genome, FungalMultigene FamilyAscomycotaDNA, CircularGene Expression ProfilingGene Expression Regulation, FungalGene Regulatory NetworksGenes, FungalMolecular Sequence AnnotationPlant DiseasesPlant StemsSequence Analysis, DNASequence Analysis, RNATranscription, GeneticVirulenceVirulence FactorsDNA, CircularVirulence FactorsBotryosphaeria diebackCAZymescell wall degradationRNA-seqsecondary metabolismsingle-molecule real-time (SMRT) sequencingweighted co-expression network analysis

Identifiers

PMID27608421
PMCPMC6637977
OpenAlexW2519631363

What OpenQuestion holds

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Registered trials

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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.