Evidence map›Paper›PMID 24391870›Full record

ArticlePloS one2013

MIDDAS-M: motif-independent de novo detection of secondary metabolite gene clusters through the integration of genome sequencing and transcriptome data.

Myco Umemura, Hideaki Koike, Nozomi Nagano, Tomoko Ishii, Jin Kawano, Noriko Yamane, Ikuko Kozone, Katsuhisa Horimoto, Kazuo Shin-ya, Kiyoshi Asai and 3 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. AFED, a comprehensive resource for Aspergillus flavus gene expression profiling.Database : the journal of biological databases and curation · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Effect ofToxins · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Transcriptional Activation of Biosynthetic Gene Clusters in Filamentous Fungi.Frontiers in bioengineering and biotechnology · 2022
    Review
  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

13 authors.

Myco UmemuraBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Sapporo, Hokkaido, Japan.
Hideaki KoikeBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Nozomi NaganoComputational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan.
Tomoko IshiiBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Sapporo, Hokkaido, Japan.
Jin KawanoBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Sapporo, Hokkaido, Japan.
Noriko YamaneBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Ikuko KozoneJapan Biological Informatics Consortium, Koto-ku, Tokyo, Japan.
Katsuhisa HorimotoMolecular Profiling Research Center for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan.
Kazuo Shin-yaJapan Biological Informatics Consortium, Koto-ku, Tokyo, Japan ; Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan.
Kiyoshi AsaiComputational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo, Japan.
Jiujiang YuBeltsville Agricultural Regional Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, United States of America.
Joan W BennettDepartment of Plant Biology and Pathology, Rutgers University, New Brunswick, New Jersey, United States of America.
Masayuki MachidaBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Sapporo, Hokkaido, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many bioactive natural products are produced as "secondary metabolites" by plants, bacteria, and fungi. During the middle of the 20th century, several secondary metabolites from fungi revolutionized the pharmaceutical industry, for example, penicillin, lovastatin, and cyclosporine. They are generally biosynthesized by enzymes encoded by clusters of coordinately regulated genes, and several motif-based methods have been developed to detect secondary metabolite biosynthetic (SMB) gene clusters using the sequence information of typical SMB core genes such as polyketide synthases (PKS) and non-ribosomal peptide synthetases (NRPS). However, no detection method exists for SMB gene clusters that are functional and do not include core SMB genes at present. To advance the exploration of SMB gene clusters, especially those without known core genes, we developed MIDDAS-M, a motif-independent de novodetection algorithm for SMB gene clusters. We integrated virtual gene cluster generation in an annotated genome sequence with highly sensitive scoring of the cooperative transcriptional regulation of cluster member genes. MIDDAS-M accurately predicted 38 SMB gene clusters that have been experimentally confirmed and/or predicted by other motif-based methods in 3 fungal strains. MIDDAS-M further identified a new SMB gene cluster for ustiloxin B, which was experimentally validated. Sequence analysis of the cluster genes indicated a novel mechanism for peptide biosynthesis independent of NRPS. Because it is fully computational and independent of empirical knowledge about SMB core genes, MIDDAS-M allows a large-scale, comprehensive analysis of SMB gene clusters, including those with novel biosynthetic mechanisms that do not contain any functionally characterized genes.

Indexed as

AlgorithmsGene Expression ProfilingGenome, FungalMultigene FamilySoftwareBiomarkersFungiNucleotide MotifsOligonucleotide Array Sequence AnalysisPeptide SynthasesPolyketide SynthasesReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerBiomarkersnon-ribosomal peptide synthasePeptide SynthasesPolyketide SynthasesRNA, Messenger

Identifiers

PMID24391870
PMCPMC3877130

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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.