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Mutability of demographic noise in microbial range expansions

Demographic noise, the change in the composition of a population due to random birth and death events, is an important driving force in evolution because it reduces the efficacy of natural selection. Demographic noise is typically thought to be set by the population size and the environment, but rec...

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Autores principales: Yu, QinQin, Gralka, Matti, Duvernoy, Marie-Cécilia, Sousa, Megan, Harpak, Arbel, Hallatschek, Oskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397776/
https://www.ncbi.nlm.nih.gov/pubmed/33746203
http://dx.doi.org/10.1038/s41396-021-00951-9
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author Yu, QinQin
Gralka, Matti
Duvernoy, Marie-Cécilia
Sousa, Megan
Harpak, Arbel
Hallatschek, Oskar
author_facet Yu, QinQin
Gralka, Matti
Duvernoy, Marie-Cécilia
Sousa, Megan
Harpak, Arbel
Hallatschek, Oskar
author_sort Yu, QinQin
collection PubMed
description Demographic noise, the change in the composition of a population due to random birth and death events, is an important driving force in evolution because it reduces the efficacy of natural selection. Demographic noise is typically thought to be set by the population size and the environment, but recent experiments with microbial range expansions have revealed substantial strain-level differences in demographic noise under the same growth conditions. Many genetic and phenotypic differences exist between strains; to what extent do single mutations change the strength of demographic noise? To investigate this question, we developed a high-throughput method for measuring demographic noise in colonies without the need for genetic manipulation. By applying this method to 191 randomly-selected single gene deletion strains from the E. coli Keio collection, we find that a typical single gene deletion mutation decreases demographic noise by 8% (maximal decrease: 81%). We find that the strength of demographic noise is an emergent trait at the population level that can be predicted by colony-level traits but not cell-level traits. The observed differences in demographic noise from single gene deletions can increase the establishment probability of beneficial mutations by almost an order of magnitude (compared to in the wild type). Our results show that single mutations can substantially alter adaptation through their effects on demographic noise and suggest that demographic noise can be an evolvable trait of a population.
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spelling pubmed-83977762021-09-15 Mutability of demographic noise in microbial range expansions Yu, QinQin Gralka, Matti Duvernoy, Marie-Cécilia Sousa, Megan Harpak, Arbel Hallatschek, Oskar ISME J Article Demographic noise, the change in the composition of a population due to random birth and death events, is an important driving force in evolution because it reduces the efficacy of natural selection. Demographic noise is typically thought to be set by the population size and the environment, but recent experiments with microbial range expansions have revealed substantial strain-level differences in demographic noise under the same growth conditions. Many genetic and phenotypic differences exist between strains; to what extent do single mutations change the strength of demographic noise? To investigate this question, we developed a high-throughput method for measuring demographic noise in colonies without the need for genetic manipulation. By applying this method to 191 randomly-selected single gene deletion strains from the E. coli Keio collection, we find that a typical single gene deletion mutation decreases demographic noise by 8% (maximal decrease: 81%). We find that the strength of demographic noise is an emergent trait at the population level that can be predicted by colony-level traits but not cell-level traits. The observed differences in demographic noise from single gene deletions can increase the establishment probability of beneficial mutations by almost an order of magnitude (compared to in the wild type). Our results show that single mutations can substantially alter adaptation through their effects on demographic noise and suggest that demographic noise can be an evolvable trait of a population. Nature Publishing Group UK 2021-03-21 2021-09 /pmc/articles/PMC8397776/ /pubmed/33746203 http://dx.doi.org/10.1038/s41396-021-00951-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yu, QinQin
Gralka, Matti
Duvernoy, Marie-Cécilia
Sousa, Megan
Harpak, Arbel
Hallatschek, Oskar
Mutability of demographic noise in microbial range expansions
title Mutability of demographic noise in microbial range expansions
title_full Mutability of demographic noise in microbial range expansions
title_fullStr Mutability of demographic noise in microbial range expansions
title_full_unstemmed Mutability of demographic noise in microbial range expansions
title_short Mutability of demographic noise in microbial range expansions
title_sort mutability of demographic noise in microbial range expansions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397776/
https://www.ncbi.nlm.nih.gov/pubmed/33746203
http://dx.doi.org/10.1038/s41396-021-00951-9
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