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Identification of Hammerhead Ribozymes in All Domains of Life Reveals Novel Structural Variations

Overview of attention for article published in PLoS Computational Biology, May 2011
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Title
Identification of Hammerhead Ribozymes in All Domains of Life Reveals Novel Structural Variations
Published in
PLoS Computational Biology, May 2011
DOI 10.1371/journal.pcbi.1002031
Pubmed ID
Authors

Jonathan Perreault, Zasha Weinberg, Adam Roth, Olivia Popescu, Pascal Chartrand, Gerardo Ferbeyre, Ronald R. Breaker

Abstract

Hammerhead ribozymes are small self-cleaving RNAs that promote strand scission by internal phosphoester transfer. Comparative sequence analysis was used to identify numerous additional representatives of this ribozyme class than were previously known, including the first representatives in fungi and archaea. Moreover, we have uncovered the first natural examples of "type II" hammerheads, and our findings reveal that this permuted form occurs in bacteria as frequently as type I and III architectures. We also identified a commonly occurring pseudoknot that forms a tertiary interaction critical for high-speed ribozyme activity. Genomic contexts of many hammerhead ribozymes indicate that they perform biological functions different from their known role in generating unit-length RNA transcripts of multimeric viroid and satellite virus genomes. In rare instances, nucleotide variation occurs at positions within the catalytic core that are otherwise strictly conserved, suggesting that core mutations are occasionally tolerated or preferred.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
France 2 1%
Russia 2 1%
Germany 1 <1%
United Kingdom 1 <1%
Unknown 137 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 33%
Researcher 23 16%
Student > Master 15 10%
Student > Bachelor 15 10%
Professor 9 6%
Other 22 15%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 44%
Biochemistry, Genetics and Molecular Biology 31 21%
Chemistry 17 12%
Computer Science 6 4%
Immunology and Microbiology 4 3%
Other 8 5%
Unknown 17 12%