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

Overview of attention for article published in Scientific Reports, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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46 X users
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Citations

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136 Mendeley
Title
Multiple Streptomyces species with distinct secondary metabolomes have identical 16S rRNA gene sequences
Published in
Scientific Reports, September 2017
DOI 10.1038/s41598-017-11363-1
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Researcher 29 21%
Student > Master 15 11%
Student > Bachelor 12 9%
Student > Doctoral Student 9 7%
Other 20 15%
Unknown 22 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 32%
Agricultural and Biological Sciences 40 29%
Environmental Science 7 5%
Immunology and Microbiology 6 4%
Chemistry 5 4%
Other 3 2%
Unknown 32 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2021.
All research outputs
#1,502,612
of 25,517,918 outputs
Outputs from Scientific Reports
#14,448
of 141,508 outputs
Outputs of similar age
#29,252
of 323,582 outputs
Outputs of similar age from Scientific Reports
#594
of 5,556 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 5,556 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.