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The evolution of strand preference in simulated RNA replicators with strand displacement: Implications for the origin of transcription

Overview of attention for article published in Biology Direct, January 2008
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32 Mendeley
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Title
The evolution of strand preference in simulated RNA replicators with strand displacement: Implications for the origin of transcription
Published in
Biology Direct, January 2008
DOI 10.1186/1745-6150-3-33
Pubmed ID
Authors

Nobuto Takeuchi, Laura Salazar, Anthony M Poole, Paulien Hogeweg

Abstract

The simplest conceivable example of evolving systems is RNA molecules that can replicate themselves. Since replication produces a new RNA strand complementary to a template, all templates would eventually become double-stranded and, hence, become unavailable for replication. Thus the problem of how to separate the two strands is considered a major issue for the early evolution of self-replicating RNA. One biologically plausible way to copy a double-stranded RNA is to displace a preexisting strand by a newly synthesized strand. Such copying can in principle be initiated from either the (+) or (-) strand of a double-stranded RNA. Assuming that only one of them, say (+), can act as replicase when single-stranded, strand displacement produces a new replicase if the (-) strand is the template. If, however, the (+) strand is the template, it produces a new template (but no replicase). Modern transcription exhibits extreme strand preference wherein anti-sense strands are always the template. Likewise, replication by strand displacement seems optimal if it also exhibits extreme strand preference wherein (-) strands are always the template, favoring replicase production. Here we investigate whether such strand preference can evolve in a simple RNA replicator system with strand displacement.

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 3%
Brazil 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 7 22%
Student > Bachelor 4 13%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 56%
Biochemistry, Genetics and Molecular Biology 3 9%
Chemistry 3 9%
Physics and Astronomy 3 9%
Computer Science 1 3%
Other 0 0%
Unknown 4 13%

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 05 January 2021.
All research outputs
#17,629,030
of 19,891,915 outputs
Outputs from Biology Direct
#545
of 569 outputs
Outputs of similar age
#235,730
of 276,674 outputs
Outputs of similar age from Biology Direct
#6
of 6 outputs
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