Title |
Multiple Streptomyces species with distinct secondary metabolomes have identical 16S rRNA gene sequences
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Published in |
Scientific Reports, September 2017
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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. |
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Geographical breakdown
Country | Count | As % |
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United States | 12 | 26% |
United Kingdom | 4 | 9% |
Germany | 2 | 4% |
China | 2 | 4% |
Mexico | 2 | 4% |
Netherlands | 1 | 2% |
New Zealand | 1 | 2% |
Portugal | 1 | 2% |
Denmark | 1 | 2% |
Other | 3 | 7% |
Unknown | 17 | 37% |
Demographic breakdown
Type | Count | As % |
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Scientists | 27 | 59% |
Members of the public | 19 | 41% |
Mendeley readers
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% |