Evidence map›Paper›PMID 30859257›Full record

ReviewApplied microbiology and biotechnology2019

Detecting and prioritizing biosynthetic gene clusters for bioactive compounds in bacteria and fungi.

Phuong Nguyen Tran, Ming-Ren Yen, Chen-Yu Chiang, Hsiao-Ching Lin, Pao-Yang Chen

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

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

  1. BioprospectingFrontiers in fungal biology · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Comparative Genome Mining ofMarine drugs · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Genetic Dereplication of MultipleJournal of natural products · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. mBio · 2025
    Article
  16. Article
  17. Article
  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

5 authors.

Phuong Nguyen TranInstitute of Plant and Microbial Biology, Academia Sinica, No. 128, Section 2, Academia Rd, Nangang District, Taipei City, 11529, Taiwan.
Ming-Ren YenInstitute of Plant and Microbial Biology, Academia Sinica, No. 128, Section 2, Academia Rd, Nangang District, Taipei City, 11529, Taiwan.
Chen-Yu ChiangInstitute of Biological Chemistry, Academia Sinica, No. 128, Section 2, Academia Rd, Nangang District, Taipei City, 11529, Taiwan.
Hsiao-Ching LinInstitute of Biological Chemistry, Academia Sinica, No. 128, Section 2, Academia Rd, Nangang District, Taipei City, 11529, Taiwan. hsiaoching@gate.sinica.edu.tw.
Pao-Yang ChenInstitute of Plant and Microbial Biology, Academia Sinica, No. 128, Section 2, Academia Rd, Nangang District, Taipei City, 11529, Taiwan. paoyang@gate.sinica.edu.tw.ORCID http://orcid.org/0000-0002-7402-3075

Funding

Ministry of Science and Technology, Taiwan 106-2113-M-001-008-MY2Ministry of Science and Technology, Taiwan 106-2311-B-001 -035 -MY3Ministry of Science and Technology, Taiwan 106-2633-B-001 -001Ministry of Science and Technology, Taiwan 107-2320-B-001-025-MY3
6 · The paper itself

Abstract

Secondary metabolites (SM) produced by fungi and bacteria have long been of exceptional interest owing to their unique biomedical ramifications. The traditional discovery of new natural products that was mainly driven by bioactivity screening has now experienced a fresh new approach in the form of genome mining. Several bioinformatics tools have been continuously developed to detect potential biosynthetic gene clusters (BGCs) that are responsible for the production of SM. Although the principles underlying the computation of these tools have been discussed, the biological background is left underrated and ambiguous. In this review, we emphasize the biological hypotheses in BGC formation driven from the observations across genomes in bacteria and fungi, and provide a comprehensive list of updated algorithms/tools exclusively for BGC detection. Our review points to a direction that the biological hypotheses should be systematically incorporated into the BGC prediction and assist the prioritization of candidate BGC.

Indexed as

Computational BiologyBacteriaBiological ProductsDrug Resistance, MicrobialFungiGene DuplicationGene Transfer, HorizontalGenome, MicrobialMultigene FamilySecondary MetabolismBiological ProductsBioinformaticsBiosynthetic gene clusterDuplicate geneHorizontal gene transferSecondary metabolitesSelf-protection

Identifiers

PMID30859257
PMCPMC6449301

What OpenQuestion holds

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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.