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In silico ribozyme evolution in a metabolically coupled RNA population

Overview of attention for article published in Biology Direct, May 2015
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Title
In silico ribozyme evolution in a metabolically coupled RNA population
Published in
Biology Direct, May 2015
DOI 10.1186/s13062-015-0049-6
Pubmed ID
Authors

Balázs Könnyű, András Szilágyi, Tamás Czárán

Abstract

The RNA World hypothesis offers a plausible bridge from no-life to life on prebiotic Earth, by assuming that RNA, the only known molecule type capable of playing genetic and catalytic roles at the same time, could have been the first evolvable entity on the evolutionary path to the first living cell. We have developed the Metabolically Coupled Replicator System (MCRS), a spatially explicit simulation modelling approach to prebiotic RNA-World evolution on mineral surfaces, in which we incorporate the most important experimental facts and theoretical considerations to comply with recent knowledge on RNA and prebiotic evolution. In this paper the MCRS model framework has been extended in order to investigate the dynamical and evolutionary consequences of adding an important physico-chemical detail, namely explicit replicator structure - nucleotide sequence and 2D folding calculated from thermodynamical criteria - and their possible mutational changes, to the assumptions of a previously less detailed toy model. For each mutable nucleotide sequence the corresponding 2D folded structure with minimum free energy is calculated, which in turn is used to determine the fitness components (degradation rate, replicability and metabolic enzyme activity) of the replicator. We show that the community of such replicators providing the monomer supply for their own replication by evolving metabolic enzyme activities features an improved propensity for stable coexistence and structural adaptation. These evolutionary advantages are due to the emergent uniformity of metabolic replicator fitnesses imposed on the community by local group selection and attained through replicator trait convergence, i.e., the tendency of replicator lengths, ribozyme activities and population sizes to become similar between the coevolving replicator species that are otherwise both structurally and functionally different. In the most general terms it is the surprisingly high extra viability of the metabolic replicator system that the present model adds to the MCRS concept of the origin of life. Surface-bound, metabolically coupled RNA replicators tend to evolve different, enzymatically active sites within thermodynamically stable secondary structures, and the system as a whole evolves towards the robust coexistence of a complete set of such ribozymes driving the metabolism producing monomers for their own replication. This article was reviewed by Gáspár Jékely, Anthony Poole and Armen Mulkidjanian.

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Geographical breakdown

Country Count As %
United States 1 5%
Canada 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 4 20%
Student > Bachelor 3 15%
Professor 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 55%
Biochemistry, Genetics and Molecular Biology 3 15%
Nursing and Health Professions 1 5%
Computer Science 1 5%
Physics and Astronomy 1 5%
Other 0 0%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 April 2022.
All research outputs
#13,894,743
of 23,563,389 outputs
Outputs from Biology Direct
#311
of 494 outputs
Outputs of similar age
#128,911
of 268,166 outputs
Outputs of similar age from Biology Direct
#10
of 13 outputs
Altmetric has tracked 23,563,389 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 494 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 268,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.