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The complete 12 Mb genome and transcriptome of Nonomuraea gerenzanensis with new insights into its duplicated “magic” RNA polymerase

Overview of attention for article published in Scientific Reports, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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7 X users
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1 Google+ user

Citations

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35 Mendeley
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Title
The complete 12 Mb genome and transcriptome of Nonomuraea gerenzanensis with new insights into its duplicated “magic” RNA polymerase
Published in
Scientific Reports, December 2016
DOI 10.1038/s41598-016-0025-0
Pubmed ID
Authors

Valeria D’Argenio, Mauro Petrillo, Daniela Pasanisi, Caterina Pagliarulo, Roberta Colicchio, Adelfia Talà, Maria Stella de Biase, Mario Zanfardino, Emanuela Scolamiero, Chiara Pagliuca, Antonio Gaballo, Annunziata Gaetana Cicatiello, Piergiuseppe Cantiello, Irene Postiglione, Barbara Naso, Angelo Boccia, Miriana Durante, Luca Cozzuto, Paola Salvatore, Giovanni Paolella, Francesco Salvatore, Pietro Alifano

Abstract

In contrast to the widely accepted consensus of the existence of a single RNA polymerase in bacteria, several actinomycetes have been recently shown to possess two forms of RNA polymerases due the to co-existence of two rpoB paralogs in their genome. However, the biological significance of the rpoB duplication is obscure. In this study we have determined the genome sequence of the lipoglycopeptide antibiotic A40926 producer Nonomuraea gerenzanensis ATCC 39727, an actinomycete with a large genome and two rpoB genes, i.e. rpoB(S) (the wild-type gene) and rpoB(R) (the mutant-type gene). We next analyzed the transcriptional and metabolite profiles in the wild-type gene and in two derivative strains over-expressing either rpoB(R) or a mutated form of this gene to explore the physiological role and biotechnological potential of the "mutant-type" RNA polymerase. We show that rpoB(R) controls antibiotic production and a wide range of metabolic adaptive behaviors in response to environmental pH. This may give interesting perspectives also with regard to biotechnological applications.

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X Demographics

The data shown below were collected from the profiles of 7 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Student > Bachelor 3 9%
Other 2 6%
Other 0 0%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 7 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Immunology and Microbiology 2 6%
Medicine and Dentistry 2 6%
Other 2 6%
Unknown 12 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 April 2017.
All research outputs
#5,467,428
of 22,914,829 outputs
Outputs from Scientific Reports
#37,239
of 123,805 outputs
Outputs of similar age
#100,206
of 420,678 outputs
Outputs of similar age from Scientific Reports
#1,162
of 3,683 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 69% 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 420,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 3,683 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.