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Comparison of Insertional RNA Editing in Myxomycetes

Overview of attention for article published in PLoS Computational Biology, February 2012
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Title
Comparison of Insertional RNA Editing in Myxomycetes
Published in
PLoS Computational Biology, February 2012
DOI 10.1371/journal.pcbi.1002400
Pubmed ID
Authors

Cai Chen, David Frankhouser, Ralf Bundschuh

Abstract

RNA editing describes the process in which individual or short stretches of nucleotides in a messenger or structural RNA are inserted, deleted, or substituted. A high level of RNA editing has been observed in the mitochondrial genome of Physarum polycephalum. The most frequent editing type in Physarum is the insertion of individual Cs. RNA editing is extremely accurate in Physarum; however, little is known about its mechanism. Here, we demonstrate how analyzing two organisms from the Myxomycetes, namely Physarum polycephalum and Didymium iridis, allows us to test hypotheses about the editing mechanism that can not be tested from a single organism alone. First, we show that using the recently determined full transcriptome information of Physarum dramatically improves the accuracy of computational editing site prediction in Didymium. We use this approach to predict genes in the mitochondrial genome of Didymium and identify six new edited genes as well as one new gene that appears unedited. Next we investigate sequence conservation in the vicinity of editing sites between the two organisms in order to identify sites that harbor the information for the location of editing sites based on increased conservation. Our results imply that the information contained within only nine or ten nucleotides on either side of the editing site (a distance previously suggested through experiments) is not enough to locate the editing sites. Finally, we show that the codon position bias in C insertional RNA editing of these two organisms is correlated with the selection pressure on the respective genes thereby directly testing an evolutionary theory on the origin of this codon bias. Beyond revealing interesting properties of insertional RNA editing in Myxomycetes, our work suggests possible approaches to be used when finding sequence motifs for any biological process fails.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 33%
Student > Ph. D. Student 6 20%
Student > Master 4 13%
Professor 3 10%
Other 2 7%
Other 4 13%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 50%
Biochemistry, Genetics and Molecular Biology 9 30%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 2 7%
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 17 April 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,960 outputs
Outputs of similar age
#110,993
of 169,012 outputs
Outputs of similar age from PLoS Computational Biology
#82
of 113 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.