Evidence map›Paper›PMID 20154113›Full record

ArticleApplied and environmental microbiology2010

Sequence-based analysis of secondary-metabolite biosynthesis in marine actinobacteria.

Erin A Gontang, Susana P Gaudêncio, William Fenical, Paul R Jensen

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Isolation and identification of marine microbial products.Journal, genetic engineering & biotechnology · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. 3 Biotech · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

2 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

4 authors.

Erin A GontangCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093-0204, USA.
Susana P Gaudêncio
William Fenical
Paul R Jensen

Funding

Natural Product Genome MiningR01GM085770 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JENSEN, PAUL R, MOORE, BRADLEY S · 2009 to 2024
$5.8M
Antitumor-Antibiotics from Marine MicroorganismsR37CA044848 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FENICAL, WILLIAM · 2004 to 2013
$3.9M
ANTITUMOR ANTIBIOTICS FROM MARINE ORGANISMSR01CA044848 · NCI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI FENICAL, WILLIAM · 1987 to 2003
$1.2M
NCI NIH HHS CA44848NCI NIH HHS R01 CA044848NCI NIH HHS R37 CA044848NIGMS NIH HHS GM085770NIGMS NIH HHS R01 GM085770
6 · The paper itself

Abstract

A diverse collection of 60 marine-sediment-derived Actinobacteria representing 52 operational taxonomic units was screened by PCR for genes associated with secondary-metabolite biosynthesis. Three primer sets were employed to specifically target adenylation domains associated with nonribosomal peptide synthetases (NRPSs) and ketosynthase (KS) domains associated with type I modular, iterative, hybrid, and enediyne polyketide synthases (PKSs). In total, two-thirds of the strains yielded a sequence-verified PCR product for at least one of these biosynthetic types. Genes associated with enediyne biosynthesis were detected in only two genera, while 88% of the ketosynthase sequences shared greatest homology with modular PKSs. Positive strains included representatives of families not traditionally associated with secondary-metabolite production, including the Corynebacteriaceae, Gordoniaceae, Intrasporangiaceae, and Micrococcaceae. In four of five cases where phylogenetic analyses of KS sequences revealed close evolutionary relationships to genes associated with experimentally characterized biosynthetic pathways, secondary-metabolite production was accurately predicted. Sequence clustering patterns were used to provide an estimate of PKS pathway diversity and to assess the biosynthetic richness of individual strains. The detection of highly similar KS sequences in distantly related strains provided evidence of horizontal gene transfer, while control experiments designed to amplify KS sequences from Salinispora arenicola strain CNS-205, for which a genome sequence is available, led to the detection of 70% of the targeted PKS pathways. The results provide a bioinformatic assessment of secondary-metabolite biosynthetic potential that can be applied in the absence of fully assembled pathways or genome sequences. The rapid identification of strains that possess the greatest potential to produce new secondary metabolites along with those that produce known compounds can be used to improve the process of natural-product discovery by providing a method to prioritize strains for fermentation studies and chemical analysis.

Indexed as

Genes, BacterialActinobacteriaCluster AnalysisDNA, BacterialDNA PrimersGene Transfer, HorizontalGenotypeGeologic SedimentsMolecular Sequence DataPolymerase Chain ReactionSequence Analysis, DNASequence HomologyDNA, BacterialDNA Primers

Identifiers

PMID20154113
PMCPMC2849207

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.