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Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch
The phrase “survival of the fittest” has become an iconic descriptor of how natural selection works. And yet, precisely measuring fitness, even for single-celled microbial populations growing in controlled laboratory conditions, remains a challenge. While numerous methods exist to perform these meas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276131/ https://www.ncbi.nlm.nih.gov/pubmed/37237236 http://dx.doi.org/10.1007/s00239-023-10114-3 |
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author | Kinsler, Grant Schmidlin, Kara Newell, Daphne Eder, Rachel Apodaca, Sam Lam, Grace Petrov, Dmitri Geiler-Samerotte, Kerry |
author_facet | Kinsler, Grant Schmidlin, Kara Newell, Daphne Eder, Rachel Apodaca, Sam Lam, Grace Petrov, Dmitri Geiler-Samerotte, Kerry |
author_sort | Kinsler, Grant |
collection | PubMed |
description | The phrase “survival of the fittest” has become an iconic descriptor of how natural selection works. And yet, precisely measuring fitness, even for single-celled microbial populations growing in controlled laboratory conditions, remains a challenge. While numerous methods exist to perform these measurements, including recently developed methods utilizing DNA barcodes, all methods are limited in their precision to differentiate strains with small fitness differences. In this study, we rule out some major sources of imprecision, but still find that fitness measurements vary substantially from replicate to replicate. Our data suggest that very subtle and difficult to avoid environmental differences between replicates create systematic variation across fitness measurements. We conclude by discussing how fitness measurements should be interpreted given their extreme environment dependence. This work was inspired by the scientific community who followed us and gave us tips as we live tweeted a high-replicate fitness measurement experiment at #1BigBatch. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00239-023-10114-3. |
format | Online Article Text |
id | pubmed-10276131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102761312023-06-18 Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch Kinsler, Grant Schmidlin, Kara Newell, Daphne Eder, Rachel Apodaca, Sam Lam, Grace Petrov, Dmitri Geiler-Samerotte, Kerry J Mol Evol Original Article The phrase “survival of the fittest” has become an iconic descriptor of how natural selection works. And yet, precisely measuring fitness, even for single-celled microbial populations growing in controlled laboratory conditions, remains a challenge. While numerous methods exist to perform these measurements, including recently developed methods utilizing DNA barcodes, all methods are limited in their precision to differentiate strains with small fitness differences. In this study, we rule out some major sources of imprecision, but still find that fitness measurements vary substantially from replicate to replicate. Our data suggest that very subtle and difficult to avoid environmental differences between replicates create systematic variation across fitness measurements. We conclude by discussing how fitness measurements should be interpreted given their extreme environment dependence. This work was inspired by the scientific community who followed us and gave us tips as we live tweeted a high-replicate fitness measurement experiment at #1BigBatch. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00239-023-10114-3. Springer US 2023-05-27 2023 /pmc/articles/PMC10276131/ /pubmed/37237236 http://dx.doi.org/10.1007/s00239-023-10114-3 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Kinsler, Grant Schmidlin, Kara Newell, Daphne Eder, Rachel Apodaca, Sam Lam, Grace Petrov, Dmitri Geiler-Samerotte, Kerry Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title | Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title_full | Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title_fullStr | Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title_full_unstemmed | Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title_short | Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch |
title_sort | extreme sensitivity of fitness to environmental conditions: lessons from #1bigbatch |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276131/ https://www.ncbi.nlm.nih.gov/pubmed/37237236 http://dx.doi.org/10.1007/s00239-023-10114-3 |
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