Evidence map›Paper›PMID 32421770›Full record

ArticleMolecular biology and evolution2020

The Architecture of Metabolism Maximizes Biosynthetic Diversity in the Largest Class of Fungi.

Emile Gluck-Thaler, Sajeet Haridas, Manfred Binder, Igor V Grigoriev, Pedro W Crous, Joseph W Spatafora, Kathryn Bushley, Jason C Slot

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Generalized Gene Cluster Detection Using CLOCI.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Computational Approaches for Discovering Virulence Factors inJournal of fungi (Basel, Switzerland) · 2025
    Review
  9. Article
  10. Article
  11. mBio · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. Review
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

8 authors at 6 institutions in 2 countries.

Emile Gluck-ThalerDepartment of Plant Pathology, The Ohio State University, Columbus, OH.
Sajeet HaridasUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA.
Manfred BinderTechBase, R-Tech GmbH, Regensburg, Germany.
Igor V GrigorievUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA.
Pedro W CrousWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.
Joseph W SpataforaDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR.
Kathryn BushleyDepartment of Plant and Microbial Biology, University of Minnesota, Minneapolis, MN.
Jason C SlotDepartment of Plant Pathology, The Ohio State University, Columbus, OH.
Lawrence Berkeley National Laboratory · USOregon State University · USThe Ohio State University · USUniversity of Minnesota · USUniversity of Pittsburgh · USWesterdijk Fungal Biodiversity Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological diversity in fungi is largely defined by metabolic traits, including the ability to produce secondary or "specialized" metabolites (SMs) that mediate interactions with other organisms. Fungal SM pathways are frequently encoded in biosynthetic gene clusters (BGCs), which facilitate the identification and characterization of metabolic pathways. Variation in BGC composition reflects the diversity of their SM products. Recent studies have documented surprising diversity of BGC repertoires among isolates of the same fungal species, yet little is known about how this population-level variation is inherited across macroevolutionary timescales. Here, we applied a novel linkage-based algorithm to reveal previously unexplored dimensions of diversity in BGC composition, distribution, and repertoire across 101 species of Dothideomycetes, which are considered the most phylogenetically diverse class of fungi and known to produce many SMs. We predicted both complementary and overlapping sets of clustered genes compared with existing methods and identified novel gene pairs that associate with known secondary metabolite genes. We found that variation among sets of BGCs in individual genomes is due to nonoverlapping BGC combinations and that several BGCs have biased ecological distributions, consistent with niche-specific selection. We observed that total BGC diversity scales linearly with increasing repertoire size, suggesting that secondary metabolites have little structural redundancy in individual fungi. We project that there is substantial unsampled BGC diversity across specific families of Dothideomycetes, which will provide a roadmap for future sampling efforts. Our approach and findings lend new insight into how BGC diversity is generated and maintained across an entire fungal taxonomic class.

Indexed as

AscomycotaBiosynthetic PathwaysGene Regulatory NetworksMelaninsMolecular Sequence AnnotationMultigene FamilyNaphthols1,8-dihydroxynaphthalene melaninMelaninsNaphtholschemical ecologyfungigene clustermetabolism

Identifiers

PMID32421770
PMCPMC7530617
OpenAlexW3028485742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.