Evidence map›Paper›PMID 28894255›Full record

ArticleScientific reports2017

Multiple Streptomyces species with distinct secondary metabolomes have identical 16S rRNA gene sequences.

Sanjay Antony-Babu, Didier Stien, Véronique Eparvier, Delphine Parrot, Sophie Tomasi, Marcelino T Suzuki

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
3.6field-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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  16. Isolation and Identification of Bioactive Compounds fromAntibiotics (Basel, Switzerland) · 2022
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  18. Analysis ofMicrobiology spectrum · 2022
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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

6 authors at 2 institutions in 2 countries.

Sanjay Antony-BabuSorbonne Universités, UPMC Univ Paris 06, CNRS, Laboratoire de Biodiversité et Biotechnologies Microbiennes (LBBM), Observatoire Océanologique, F-66650 Banyuls/Mer, France CNRS, USR 3579, LBBM, Observatoire Océanologique, 66650, Banyuls-sur-Mer, France.ORCID 0000-0001-6887-620X
Didier StienSorbonne Universités, UPMC Univ Paris 06, CNRS, Laboratoire de Biodiversité et Biotechnologies Microbiennes (LBBM), Observatoire Océanologique, F-66650 Banyuls/Mer, France CNRS, USR 3579, LBBM, Observatoire Océanologique, 66650, Banyuls-sur-Mer, France.
Véronique EparvierCNRS, Institut de Chimie des Substances Naturelles, 91198, Gif-sur-Yvette cedex, France.
Delphine ParrotUMR CNRS 6226, Institut des Sciences Chimiques de Rennes, Equipe CORINT "Chimie Organique et Interface", UFR Sciences Pharmaceutiques et Biologiques, Univ. Rennes 1, Université Bretagne Loire, 2 Avenue du Pr. Léon Bernard, F-35043, Rennes, France.
Sophie TomasiUMR CNRS 6226, Institut des Sciences Chimiques de Rennes, Equipe CORINT "Chimie Organique et Interface", UFR Sciences Pharmaceutiques et Biologiques, Univ. Rennes 1, Université Bretagne Loire, 2 Avenue du Pr. Léon Bernard, F-35043, Rennes, France.
Marcelino T SuzukiSorbonne Universités, UPMC Univ Paris 06, CNRS, Laboratoire de Biodiversité et Biotechnologies Microbiennes (LBBM), Observatoire Océanologique, F-66650 Banyuls/Mer, France CNRS, USR 3579, LBBM, Observatoire Océanologique, 66650, Banyuls-sur-Mer, France. suzuki@obs-banyuls.fr.ORCID 0000-0003-3868-6362
Centre National de la Recherche Scientifique · FRUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial diversity studies using small subunit (SSU) rRNA gene sequences continue to advance our understanding of biological and ecological systems. Although a good predictor of overall diversity, using this gene to infer the presence of a species in a sample is more controversial. Here, we present a detailed polyphasic analysis of 10 bacterial strains isolated from three coastal lichens Lichina confinis, Lichina pygmaea and Roccella fuciformis with SSU rRNA gene sequences identical to the type strain of Streptomyces cyaneofuscatus. This analysis included phenotypic, microscopic, genetic and genomic comparisons and showed that despite their identical SSU rRNA sequences the strains had markedly different properties, and could be distinguished as 5 different species. Significantly, secondary metabolites profiles from these strains were also found to be different. It is thus clear that SSU rRNA based operational taxonomy units, even at the most stringent cut-off can represent multiple bacterial species, and that at least for the case of Streptomyces, strain de-replication based on SSU gene sequences prior to screening for bioactive molecules can miss potentially interesting novel molecules produced by this group that is notorious for the production of drug-leads.

Indexed as

MetabolomeMetabolomicsSecondary MetabolismHigh-Throughput Nucleotide SequencingOpen Reading FramesPhylogenyRNA, Ribosomal, 16SSpecies SpecificitySpores, BacterialStreptomycesStress, PhysiologicalRNA, Ribosomal, 16S

Identifiers

PMID28894255
PMCPMC5593946
OpenAlexW2751497398

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.