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Comparative Analysis of RNA Families Reveals Distinct Repertoires for Each Domain of Life

Overview of attention for article published in PLoS Computational Biology, November 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
twitter
15 X users
facebook
2 Facebook pages
reddit
1 Redditor
video
1 YouTube creator

Readers on

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99 Mendeley
citeulike
8 CiteULike
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Article details
Title
Comparative Analysis of RNA Families Reveals Distinct Repertoires for Each Domain of Life
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002752
Pubmed ID
Authors
Abstract

The RNA world hypothesis, that RNA genomes and catalysts preceded DNA genomes and genetically-encoded protein catalysts, has been central to models for the early evolution of life on Earth. A key part of such models is continuity between the earliest stages in the evolution of life and the RNA repertoires of extant lineages. Some assessments seem consistent with a diverse RNA world, yet direct continuity between modern RNAs and an RNA world has not been demonstrated for the majority of RNA families, and, anecdotally, many RNA functions appear restricted in their distribution. Despite much discussion of the possible antiquity of RNA families, no systematic analyses of RNA family distribution have been performed. To chart the broad evolutionary history of known RNA families, we performed comparative genomic analysis of over 3 million RNA annotations spanning 1446 families from the Rfam 10 database. We report that 99% of known RNA families are restricted to a single domain of life, revealing discrete repertoires for each domain. For the 1% of RNA families/clans present in more than one domain, over half show evidence of horizontal gene transfer (HGT), and the rest show a vertical trace, indicating the presence of a complex protein synthesis machinery in the Last Universal Common Ancestor (LUCA) and consistent with the evolutionary history of the most ancient protein-coding genes. However, with limited interdomain transfer and few RNA families exhibiting demonstrable antiquity as predicted under RNA world continuity, our results indicate that the majority of modern cellular RNA repertoires have primarily evolved in a domain-specific manner.

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X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 4%
Venezuela, Bolivarian Republic of 1 1%
Poland 1 1%
New Zealand 1 1%
United Kingdom 1 1%
France 1 1%
Canada 1 1%
Australia 1 1%
Unknown 88 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 28%
Researcher 25 25%
Student > Master 8 8%
Professor 7 7%
Student > Postgraduate 6 6%
Other 15 15%
Unknown 10 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 49 49%
Biochemistry, Genetics and Molecular Biology 22 22%
Computer Science 4 4%
Chemistry 3 3%
Immunology and Microbiology 2 2%
Other 8 8%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 25 January 2023.
All research outputs
#2,336,934
of 29,944,110 outputs
Outputs from PLoS Computational Biology
#1,756
of 9,833 outputs
Outputs of similar age
#14,276
of 215,595 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 107 outputs
Altmetric has tracked 29,944,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 81% 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 215,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.