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Genome mining reveals the genus Xanthomonas to be a promising reservoir for new bioactive non-ribosomally synthesized peptides

Overview of attention for article published in BMC Genomics, September 2013
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Title
Genome mining reveals the genus Xanthomonas to be a promising reservoir for new bioactive non-ribosomally synthesized peptides
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-658
Pubmed ID
Authors

Monique Royer, Ralf Koebnik, Mélanie Marguerettaz, Valérie Barbe, Guillaume P Robin, Chrystelle Brin, Sébastien Carrere, Camila Gomez, Manuela Hügelland, Ginka H Völler, Julie Noëll, Isabelle Pieretti, Saskia Rausch, Valérie Verdier, Stéphane Poussier, Philippe Rott, Roderich D Süssmuth, Stéphane Cociancich

Abstract

Various bacteria can use non-ribosomal peptide synthesis (NRPS) to produce peptides or other small molecules. Conserved features within the NRPS machinery allow the type, and sometimes even the structure, of the synthesized polypeptide to be predicted. Thus, bacterial genome mining via in silico analyses of NRPS genes offers an attractive opportunity to uncover new bioactive non-ribosomally synthesized peptides. Xanthomonas is a large genus of Gram-negative bacteria that cause disease in hundreds of plant species. To date, the only known small molecule synthesized by NRPS in this genus is albicidin produced by Xanthomonas albilineans. This study aims to estimate the biosynthetic potential of Xanthomonas spp. by in silico analyses of NRPS genes with unknown function recently identified in the sequenced genomes of X. albilineans and related species of Xanthomonas.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
Denmark 1 1%
India 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 12 18%
Student > Master 9 13%
Student > Bachelor 6 9%
Student > Postgraduate 4 6%
Other 11 16%
Unknown 14 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 37%
Biochemistry, Genetics and Molecular Biology 14 21%
Chemistry 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Computer Science 1 1%
Other 3 4%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 September 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#183,420
of 207,062 outputs
Outputs of similar age from BMC Genomics
#114
of 139 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.