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Mycoplasma non-coding RNA: identification of small RNAs and targets

Overview of attention for article published in BMC Genomics, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

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16 Dimensions

Readers on

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33 Mendeley
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Title
Mycoplasma non-coding RNA: identification of small RNAs and targets
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3061-z
Pubmed ID
Authors

Franciele Maboni Siqueira, Guilherme Loss de Morais, Susan Higashi, Laura Scherer Beier, Gabriela Merker Breyer, Caio Padoan de Sá Godinho, Marie-France Sagot, Irene Silveira Schrank, Arnaldo Zaha, Ana Tereza Ribeiro de Vasconcelos

Abstract

Bacterial non-coding RNAs act by base-pairing as regulatory elements in crucial biological processes. We performed the identification of trans-encoded small RNAs (sRNA) from the genomes of Mycoplama hyopneumoniae, Mycoplasma flocculare and Mycoplasma hyorhinis, which are Mycoplasma species that have been identified in the porcine respiratory system. A total of 47, 15 and 11 putative sRNAs were predicted in M. hyopneumoniae, M. flocculare and M. hyorhinis, respectively. A comparative genomic analysis revealed the presence of species or lineage specific sRNA candidates. Furthermore, the expression profile of some M. hyopneumoniae sRNAs was determined by a reverse transcription amplification approach, in three different culture conditions. All tested sRNAs were transcribed in at least one condition. A detailed investigation revealed a differential expression profile for two M. hyopneumoniae sRNAs in response to oxidative and heat shock stress conditions, suggesting that their expression is influenced by environmental signals. Moreover, we analyzed sRNA-mRNA hybrids and accessed putative target genes for the novel sRNA candidates. The majority of the sRNAs showed interaction with multiple target genes, some of which could be linked to pathogenesis and cell homeostasis activity. This study contributes to our knowledge of Mycoplasma sRNAs and their response to environmental changes. Furthermore, the mRNA target prediction provides a perspective for the characterization and comprehension of the function of the sRNA regulatory mechanisms.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 33%
Student > Ph. D. Student 5 15%
Researcher 4 12%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 36%
Agricultural and Biological Sciences 9 27%
Veterinary Science and Veterinary Medicine 2 6%
Immunology and Microbiology 1 3%
Sports and Recreations 1 3%
Other 1 3%
Unknown 7 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 December 2016.
All research outputs
#3,211,903
of 22,899,952 outputs
Outputs from BMC Genomics
#1,231
of 10,674 outputs
Outputs of similar age
#57,454
of 313,872 outputs
Outputs of similar age from BMC Genomics
#28
of 223 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,674 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% 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 313,872 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 81% of its contemporaries.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.