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Random sequences are an abundant source of bioactive RNAs or peptides

Overview of attention for article published in Nature Ecology & Evolution, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
4 blogs
twitter
306 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
176 Mendeley
citeulike
1 CiteULike
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Title
Random sequences are an abundant source of bioactive RNAs or peptides
Published in
Nature Ecology & Evolution, April 2017
DOI 10.1038/s41559-017-0127
Pubmed ID
Authors

Rafik Neme, Cristina Amador, Burcin Yildirim, Ellen McConnell, Diethard Tautz

Abstract

It is generally assumed that new genes arise through duplication and/or recombination of existing genes. The probability that a new functional gene could arise out of random non-coding DNA is so far considered to be negligible, since it seems unlikely that such a RNA or protein sequence could have an initial function that influences the fitness of an organism. We have here tested this question systematically, by expressing clones with random sequences in E . coli and subjecting them to competitive growth. Contrary to expectations, we find that random sequences with bioactivity are not rare. In our experiments we find that up to 25% of the evaluated clones enhance the growth rate of their cells and up to 52% inhibit growth. Testing of individual clones in competition assays confirms their activity and provides an indication that their activity could be exerted either by the transcribed RNA or the translated peptide. This suggests that transcribed and translated random parts of the genome could indeed have a high potential to become functional. The results also suggest that random sequences may become an effective new source of molecules for studying cellular functions, as well as for pharmacological activity screening.

X Demographics

X Demographics

The data shown below were collected from the profiles of 306 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
China 1 <1%
Denmark 1 <1%
Unknown 171 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 30 17%
Student > Master 28 16%
Student > Bachelor 19 11%
Student > Doctoral Student 9 5%
Other 23 13%
Unknown 27 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 38%
Agricultural and Biological Sciences 56 32%
Computer Science 5 3%
Chemistry 5 3%
Immunology and Microbiology 2 1%
Other 13 7%
Unknown 28 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 201. 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 28 March 2024.
All research outputs
#200,064
of 25,765,370 outputs
Outputs from Nature Ecology & Evolution
#388
of 2,188 outputs
Outputs of similar age
#4,189
of 324,403 outputs
Outputs of similar age from Nature Ecology & Evolution
#15
of 81 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 149.2. This one has done well, scoring higher than 82% 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 324,403 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 98% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.