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Evolution of Genome Size in Asexual Digital Organisms
Genome sizes have evolved to vary widely, from 250 bases in viroids to 670 billion bases in some amoebas. This remarkable variation in genome size is the outcome of complex interactions between various evolutionary factors such as mutation rate and population size. While comparative genomics has unc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867773/ https://www.ncbi.nlm.nih.gov/pubmed/27181837 http://dx.doi.org/10.1038/srep25786 |
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author | Gupta, Aditi LaBar, Thomas Miyagi, Miriam Adami, Christoph |
author_facet | Gupta, Aditi LaBar, Thomas Miyagi, Miriam Adami, Christoph |
author_sort | Gupta, Aditi |
collection | PubMed |
description | Genome sizes have evolved to vary widely, from 250 bases in viroids to 670 billion bases in some amoebas. This remarkable variation in genome size is the outcome of complex interactions between various evolutionary factors such as mutation rate and population size. While comparative genomics has uncovered how some of these evolutionary factors influence genome size, we still do not understand what drives genome size evolution. Specifically, it is not clear how the primordial mutational processes of base substitutions, insertions, and deletions influence genome size evolution in asexual organisms. Here, we use digital evolution to investigate genome size evolution by tracking genome edits and their fitness effects in real time. In agreement with empirical data, we find that mutation rate is inversely correlated with genome size in asexual populations. We show that at low point mutation rate, insertions are significantly more beneficial than deletions, driving genome expansion and the acquisition of phenotypic complexity. Conversely, the high mutational load experienced at high mutation rates inhibits genome growth, forcing the genomes to compress their genetic information. Our analyses suggest that the inverse relationship between mutation rate and genome size is a result of the tradeoff between evolving phenotypic innovation and limiting the mutational load. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/srep25786) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4867773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-48677732016-05-31 Evolution of Genome Size in Asexual Digital Organisms Gupta, Aditi LaBar, Thomas Miyagi, Miriam Adami, Christoph Sci Rep Article Genome sizes have evolved to vary widely, from 250 bases in viroids to 670 billion bases in some amoebas. This remarkable variation in genome size is the outcome of complex interactions between various evolutionary factors such as mutation rate and population size. While comparative genomics has uncovered how some of these evolutionary factors influence genome size, we still do not understand what drives genome size evolution. Specifically, it is not clear how the primordial mutational processes of base substitutions, insertions, and deletions influence genome size evolution in asexual organisms. Here, we use digital evolution to investigate genome size evolution by tracking genome edits and their fitness effects in real time. In agreement with empirical data, we find that mutation rate is inversely correlated with genome size in asexual populations. We show that at low point mutation rate, insertions are significantly more beneficial than deletions, driving genome expansion and the acquisition of phenotypic complexity. Conversely, the high mutational load experienced at high mutation rates inhibits genome growth, forcing the genomes to compress their genetic information. Our analyses suggest that the inverse relationship between mutation rate and genome size is a result of the tradeoff between evolving phenotypic innovation and limiting the mutational load. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/srep25786) contains supplementary material, which is available to authorized users. Nature Publishing Group UK 2016-05-16 /pmc/articles/PMC4867773/ /pubmed/27181837 http://dx.doi.org/10.1038/srep25786 Text en © The Author(s) 2016 https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Gupta, Aditi LaBar, Thomas Miyagi, Miriam Adami, Christoph Evolution of Genome Size in Asexual Digital Organisms |
title | Evolution of Genome Size in Asexual Digital Organisms |
title_full | Evolution of Genome Size in Asexual Digital Organisms |
title_fullStr | Evolution of Genome Size in Asexual Digital Organisms |
title_full_unstemmed | Evolution of Genome Size in Asexual Digital Organisms |
title_short | Evolution of Genome Size in Asexual Digital Organisms |
title_sort | evolution of genome size in asexual digital organisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867773/ https://www.ncbi.nlm.nih.gov/pubmed/27181837 http://dx.doi.org/10.1038/srep25786 |
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