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Evolutionary stalling and a limit on the power of natural selection to improve a cellular module

Cells consist of molecular modules which perform vital biological functions. Cellular modules are key units of adaptive evolution because organismal fitness depends on their performance. Theory shows that in rapidly evolving populations, such as those of many microbes, adaptation is driven primarily...

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Autores principales: Venkataram, Sandeep, Monasky, Ross, Sikaroodi, Shohreh H., Kryazhimskiy, Sergey, Kacar, Betul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414050/
https://www.ncbi.nlm.nih.gov/pubmed/32680961
http://dx.doi.org/10.1073/pnas.1921881117
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author Venkataram, Sandeep
Monasky, Ross
Sikaroodi, Shohreh H.
Kryazhimskiy, Sergey
Kacar, Betul
author_facet Venkataram, Sandeep
Monasky, Ross
Sikaroodi, Shohreh H.
Kryazhimskiy, Sergey
Kacar, Betul
author_sort Venkataram, Sandeep
collection PubMed
description Cells consist of molecular modules which perform vital biological functions. Cellular modules are key units of adaptive evolution because organismal fitness depends on their performance. Theory shows that in rapidly evolving populations, such as those of many microbes, adaptation is driven primarily by common beneficial mutations with large effects, while other mutations behave as if they are effectively neutral. As a consequence, if a module can be improved only by rare and/or weak beneficial mutations, its adaptive evolution would stall. However, such evolutionary stalling has not been empirically demonstrated, and it is unclear to what extent stalling may limit the power of natural selection to improve modules. Here we empirically characterize how natural selection improves the translation machinery (TM), an essential cellular module. We experimentally evolved populations of Escherichia coli with genetically perturbed TMs for 1,000 generations. Populations with severe TM defects initially adapted via mutations in the TM, but TM adaptation stalled within about 300 generations. We estimate that the genetic load in our populations incurred by residual TM defects ranges from 0.5 to 19%. Finally, we found evidence that both epistasis and the depletion of the pool of beneficial mutations contributed to evolutionary stalling. Our results suggest that cellular modules may not be fully optimized by natural selection despite the availability of adaptive mutations.
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spelling pubmed-74140502020-08-21 Evolutionary stalling and a limit on the power of natural selection to improve a cellular module Venkataram, Sandeep Monasky, Ross Sikaroodi, Shohreh H. Kryazhimskiy, Sergey Kacar, Betul Proc Natl Acad Sci U S A Biological Sciences Cells consist of molecular modules which perform vital biological functions. Cellular modules are key units of adaptive evolution because organismal fitness depends on their performance. Theory shows that in rapidly evolving populations, such as those of many microbes, adaptation is driven primarily by common beneficial mutations with large effects, while other mutations behave as if they are effectively neutral. As a consequence, if a module can be improved only by rare and/or weak beneficial mutations, its adaptive evolution would stall. However, such evolutionary stalling has not been empirically demonstrated, and it is unclear to what extent stalling may limit the power of natural selection to improve modules. Here we empirically characterize how natural selection improves the translation machinery (TM), an essential cellular module. We experimentally evolved populations of Escherichia coli with genetically perturbed TMs for 1,000 generations. Populations with severe TM defects initially adapted via mutations in the TM, but TM adaptation stalled within about 300 generations. We estimate that the genetic load in our populations incurred by residual TM defects ranges from 0.5 to 19%. Finally, we found evidence that both epistasis and the depletion of the pool of beneficial mutations contributed to evolutionary stalling. Our results suggest that cellular modules may not be fully optimized by natural selection despite the availability of adaptive mutations. National Academy of Sciences 2020-08-04 2020-07-17 /pmc/articles/PMC7414050/ /pubmed/32680961 http://dx.doi.org/10.1073/pnas.1921881117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Venkataram, Sandeep
Monasky, Ross
Sikaroodi, Shohreh H.
Kryazhimskiy, Sergey
Kacar, Betul
Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title_full Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title_fullStr Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title_full_unstemmed Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title_short Evolutionary stalling and a limit on the power of natural selection to improve a cellular module
title_sort evolutionary stalling and a limit on the power of natural selection to improve a cellular module
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414050/
https://www.ncbi.nlm.nih.gov/pubmed/32680961
http://dx.doi.org/10.1073/pnas.1921881117
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