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Replaying the Tape of Life: Quantification of the Predictability of Evolution

The question whether adaptation follows a deterministic route largely prescribed by the environment or can proceed along a large number of alternative trajectories has engaged extensive research over the recent years. Experimental evolution studies enabled by advances in high throughput techniques f...

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Detalles Bibliográficos
Autores principales: Lobkovsky, Alexander E., Koonin, Eugene V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3509945/
https://www.ncbi.nlm.nih.gov/pubmed/23226153
http://dx.doi.org/10.3389/fgene.2012.00246
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author Lobkovsky, Alexander E.
Koonin, Eugene V.
author_facet Lobkovsky, Alexander E.
Koonin, Eugene V.
author_sort Lobkovsky, Alexander E.
collection PubMed
description The question whether adaptation follows a deterministic route largely prescribed by the environment or can proceed along a large number of alternative trajectories has engaged extensive research over the recent years. Experimental evolution studies enabled by advances in high throughput techniques for genome sequencing and manipulation, along with increasingly detailed mathematical modeling of fitness landscapes, are beginning to allow quantitative exploration of the repeatability of evolutionary trajectories. It is becoming clear that evolutionary trajectories in static correlated fitness landscapes are substantially non-random but the relative contributions of determinism and stochasticity in the evolution of specific phenotypes strongly depend on the specific conditions, particularly the magnitude of the selective pressure and the number of available beneficial mutations.
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spelling pubmed-35099452012-12-05 Replaying the Tape of Life: Quantification of the Predictability of Evolution Lobkovsky, Alexander E. Koonin, Eugene V. Front Genet Genetics The question whether adaptation follows a deterministic route largely prescribed by the environment or can proceed along a large number of alternative trajectories has engaged extensive research over the recent years. Experimental evolution studies enabled by advances in high throughput techniques for genome sequencing and manipulation, along with increasingly detailed mathematical modeling of fitness landscapes, are beginning to allow quantitative exploration of the repeatability of evolutionary trajectories. It is becoming clear that evolutionary trajectories in static correlated fitness landscapes are substantially non-random but the relative contributions of determinism and stochasticity in the evolution of specific phenotypes strongly depend on the specific conditions, particularly the magnitude of the selective pressure and the number of available beneficial mutations. Frontiers Media S.A. 2012-11-26 /pmc/articles/PMC3509945/ /pubmed/23226153 http://dx.doi.org/10.3389/fgene.2012.00246 Text en Copyright © 2012 Lobkovsky and Koonin. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Genetics
Lobkovsky, Alexander E.
Koonin, Eugene V.
Replaying the Tape of Life: Quantification of the Predictability of Evolution
title Replaying the Tape of Life: Quantification of the Predictability of Evolution
title_full Replaying the Tape of Life: Quantification of the Predictability of Evolution
title_fullStr Replaying the Tape of Life: Quantification of the Predictability of Evolution
title_full_unstemmed Replaying the Tape of Life: Quantification of the Predictability of Evolution
title_short Replaying the Tape of Life: Quantification of the Predictability of Evolution
title_sort replaying the tape of life: quantification of the predictability of evolution
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3509945/
https://www.ncbi.nlm.nih.gov/pubmed/23226153
http://dx.doi.org/10.3389/fgene.2012.00246
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