Evidence map›Paper›PMID 30560908›Full record

ArticleScientific reports2018

Uncovering secondary metabolite evolution and biosynthesis using gene cluster networks and genetic dereplication.

Sebastian Theobald, Tammi C Vesth, Jakob Kræmmer Rendsvig, Kristian Fog Nielsen, Robert Riley, Lucas Magalhães de Abreu, Asaf Salamov, Jens Christian Frisvad, Thomas Ostenfeld Larsen, Mikael Rørdam Andersen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.1field-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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  6. Genomic Analysis ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Polyketides as Secondary Metabolites from the GenusJournal of fungi (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Complete Genome Sequence Analysis ofInternational journal of molecular sciences · 2022
    Article
  14. Review
  15. An interpreted atlas of biosynthetic gene clusters from 1,000 fungal genomes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. 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

11 authors at 5 institutions in 3 countries.

Sebastian TheobaldDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0001-7042-8326
Tammi C VesthDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Jakob Kræmmer RendsvigDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Kristian Fog NielsenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Robert RileyDepartment of Energy Joint Genome Institute, Walnut Creek, CA, USA.
Lucas Magalhães de AbreuDepartment of Plant Pathology, Federal University of Viçosa, Viçosa, Brazil.ORCID http://orcid.org/0000-0003-1606-5709
Asaf SalamovDepartment of Energy Joint Genome Institute, Walnut Creek, CA, USA.
Jens Christian FrisvadDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.
Thomas Ostenfeld LarsenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark.ORCID http://orcid.org/0000-0002-3362-5707
Mikael Rørdam AndersenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark. mr@bio.dtu.dk.ORCID http://orcid.org/0000-0003-4794-6808
Jakob Blæsbjerg HoofDepartment of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800, Kongens Lyngby, Denmark. jblni@dtu.dk.ORCID http://orcid.org/0000-0002-7650-9300
Technical University of Denmark · DKJoint Genome Institute · USChr. Hansen (Denmark) · DKNovo Nordisk Foundation · DKUniversidade Federal de Viçosa · BR

Funding

DOE | Office of Science (SC) DE-AC02-05CH11231Villum Fonden (Villum Foundation) VKR023437
6 · The paper itself

Abstract

The increased interest in secondary metabolites (SMs) has driven a number of genome sequencing projects to elucidate their biosynthetic pathways. As a result, studies revealed that the number of secondary metabolite gene clusters (SMGCs) greatly outnumbers detected compounds, challenging current methods to dereplicate and categorize this amount of gene clusters on a larger scale. Here, we present an automated workflow for the genetic dereplication and analysis of secondary metabolism genes in fungi. Focusing on the secondary metabolite rich genus Aspergillus, we categorize SMGCs across genomes into SMGC families using network analysis. Our method elucidates the diversity and dynamics of secondary metabolism in section Nigri, showing that SMGC diversity within the section has the same magnitude as within the genus. Using our genome analysis we were able to predict the gene cluster responsible for biosynthesis of malformin, a potentiator of anti-cancer drugs, in 18 strains. To proof the general validity of our predictions, we developed genetic engineering tools in Aspergillus brasiliensis and subsequently verified the genes for biosynthesis of malformin.

Indexed as

Biosynthetic PathwaysGene Expression RegulationGene Regulatory NetworksMultigene FamilyAspergillusCluster AnalysisComputational BiologyData MiningGene Expression ProfilingGenetic EngineeringGenomicsMolecular Sequence AnnotationSecondary Metabolism

Identifiers

PMID30560908
PMCPMC6298953
OpenAlexW2905123245

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.