Evidence map›Paper›PMID 23617571›Full record

ArticleBMC microbiology2013

Comprehensive annotation of secondary metabolite biosynthetic genes and gene clusters of Aspergillus nidulans, A. fumigatus, A. niger and A. oryzae.

Diane O Inglis, Jonathan Binkley, Marek S Skrzypek, Martha B Arnaud, Gustavo C Cerqueira, Prachi Shah, Farrell Wymore, Jennifer R Wortman, Gavin Sherlock

Abstract read
In one paragraph

Article in BMC microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

159 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Review
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  16. Resynthesis of Damaged Fe-S Cluster Proteins ProtectsJournal of fungi (Basel, Switzerland) · 2024
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  18. Transcription Factor Engineering inJournal of natural products · 2024
    Article
  19. Article
  20. Journal of fungi (Basel, Switzerland) · 2024
    Review

99 more citing papers are in PubMed but not listed here.

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

9 authors.

Diane O InglisDepartment of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA.
Jonathan Binkley
Marek S Skrzypek
Martha B Arnaud
Gustavo C Cerqueira
Prachi Shah
Farrell Wymore
Jennifer R Wortman
Gavin Sherlock

Funding

Aspergillus Genome DatabaseR01AI077599 · NIAID · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2009 to 2013
$3.4M
NIAID NIH HHS R01 AI077599
6 · The paper itself

Abstract

backgroundSecondary metabolite production, a hallmark of filamentous fungi, is an expanding area of research for the Aspergilli. These compounds are potent chemicals, ranging from deadly toxins to therapeutic antibiotics to potential anti-cancer drugs. The genome sequences for multiple Aspergilli have been determined, and provide a wealth of predictive information about secondary metabolite production. Sequence analysis and gene overexpression strategies have enabled the discovery of novel secondary metabolites and the genes involved in their biosynthesis. The Aspergillus Genome Database (AspGD) provides a central repository for gene annotation and protein information for Aspergillus species. These annotations include Gene Ontology (GO) terms, phenotype data, gene names and descriptions and they are crucial for interpreting both small- and large-scale data and for aiding in the design of new experiments that further Aspergillus research.

resultsWe have manually curated Biological Process GO annotations for all genes in AspGD with recorded functions in secondary metabolite production, adding new GO terms that specifically describe each secondary metabolite. We then leveraged these new annotations to predict roles in secondary metabolism for genes lacking experimental characterization. As a starting point for manually annotating Aspergillus secondary metabolite gene clusters, we used antiSMASH (antibiotics and Secondary Metabolite Analysis SHell) and SMURF (Secondary Metabolite Unknown Regions Finder) algorithms to identify potential clusters in A. nidulans, A. fumigatus, A. niger and A. oryzae, which we subsequently refined through manual curation.

conclusionsThis set of 266 manually curated secondary metabolite gene clusters will facilitate the investigation of novel Aspergillus secondary metabolites.

Indexed as

AspergillusBiological ProductsBiosynthetic PathwaysComputational BiologyGenes, FungalHumansMultigene FamilyBiological Products

Identifiers

PMID23617571
PMCPMC3689640

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.