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Genome-Wide Detection of Small Regulatory RNAs in Deep-Sea Bacterium Shewanella piezotolerans WP3

Overview of attention for article published in Frontiers in Microbiology, June 2017
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Title
Genome-Wide Detection of Small Regulatory RNAs in Deep-Sea Bacterium Shewanella piezotolerans WP3
Published in
Frontiers in Microbiology, June 2017
DOI 10.3389/fmicb.2017.01093
Pubmed ID
Authors

Muhammad Z. Nawaz, Huahua Jian, Ying He, Lei Xiong, Xiang Xiao, Fengping Wang

Abstract

Shewanella are one of the most abundant Proteobacteria in the deep-sea and are renowned for their versatile electron accepting capacities. The molecular mechanisms involved in their adaptation to diverse and extreme environments are not well understood. Small non-coding RNAs (sRNAs) are known for modulating the gene expression at transcriptional and posttranscriptional levels, subsequently playing a key role in microbial adaptation. To understand the potential roles of sRNAs in the adaptation of Shewanella toward deep-sea environments, here an in silico approach was utilized to detect the sRNAs in the genome of Shewanella piezotolerans WP3, a piezotolerant and psychrotolerant deep-sea iron reducing bacterium. After scanning 3673 sets of 5' and 3' UTRs of orthologous genes, 209 sRNA candidates were identified with high confidence in S. piezotolerans WP3. About 92% (193 out of 209) of these putative sRNAs belong to the class trans-encoded RNAs, suggesting that trans-regulatory RNAs are the dominant class of sRNAs in S. piezotolerans WP3. The remaining 16 cis-regulatory RNAs were validated through quantitative polymerase chain reaction. Five cis-sRNAs were further shown to act as cold regulated sRNAs. Our study provided additional evidence at the transcriptional level to decipher the microbial adaptation mechanisms to extreme environmental conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 33%
Student > Ph. D. Student 4 22%
Student > Bachelor 2 11%
Other 1 6%
Researcher 1 6%
Other 0 0%
Unknown 4 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Agricultural and Biological Sciences 4 22%
Immunology and Microbiology 2 11%
Computer Science 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 22%
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 01 July 2017.
All research outputs
#20,431,953
of 22,985,065 outputs
Outputs from Frontiers in Microbiology
#22,636
of 25,044 outputs
Outputs of similar age
#275,937
of 317,092 outputs
Outputs of similar age from Frontiers in Microbiology
#454
of 529 outputs
Altmetric has tracked 22,985,065 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 25,044 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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