Fast free-energy-based neutral set size estimates for the RNA genotype-phenotype map.
J R Soc Interface
The Royal Society
MetadataShow full item record
Martin, N. S., & Ahnert, S. (2022). Fast free-energy-based neutral set size estimates for the RNA genotype-phenotype map.. J R Soc Interface, 19 (191) https://doi.org/10.1098/rsif.2022.0072
Funder: Winton Programme for the Physics of Sustainability
Funder: Gates Cambridge Trust; Id: http://dx.doi.org/10.13039/501100005370
The genotype-phenotype (GP) map of RNA secondary structure links each RNA sequence to its corresponding secondary structure. Previous research has shown that the large-scale structural properties of GP maps, such as the size of neutral sets in genotype space, can influence evolutionary outcomes. In order to use neutral set sizes, efficient and accurate computational methods are needed to compute them. Here, we propose a new method, which is based on free energy estimates and is much faster than existing sample-based methods. Moreover, this approach can give insight into the reasons behind neutral set size variations, for example, why structures with fewer stacks tend to have larger neutral set sizes. In addition, we generalize neutral set size calculations from the previously studied many-to-one framework, where each sequence folds into a single energetically preferred structure, to a fuller many-to-many framework, where several low-energy structures are included. We find that structures with high neutral sets in one framework also tend to have large neutral sets in the other framework for a range of parameters and thus the choice of GP map does not fundamentally affect which structures have the largest neutral set sizes.
Life Sciences–Physics interface, Research articles, RNA secondary structure, sequence–structure map, genotype–phenotype map, neutral set
Gatsby Charitable Foundation (PTAG/021)
External DOI: https://doi.org/10.1098/rsif.2022.0072
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338109
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: firstname.lastname@example.org