A Comparison of Methods to Measure Fitness in Escherichia coli.

In order to characterize the dynamics of adaptation, it is important to be able to quantify how a population's mean fitness changes over time. Such measurements are especially important in experimental studies of evolution using microbes. The Long-Term Evolution Experiment (LTEE) with Escherich...

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Main Authors: Michael J Wiser, Richard E Lenski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0126210
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spelling doaj-4bf3f92e7e814677be3d049e4064583b2021-03-03T20:04:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012621010.1371/journal.pone.0126210A Comparison of Methods to Measure Fitness in Escherichia coli.Michael J WiserRichard E LenskiIn order to characterize the dynamics of adaptation, it is important to be able to quantify how a population's mean fitness changes over time. Such measurements are especially important in experimental studies of evolution using microbes. The Long-Term Evolution Experiment (LTEE) with Escherichia coli provides one such system in which mean fitness has been measured by competing derived and ancestral populations. The traditional method used to measure fitness in the LTEE and many similar experiments, though, is subject to a potential limitation. As the relative fitness of the two competitors diverges, the measurement error increases because the less-fit population becomes increasingly small and cannot be enumerated as precisely. Here, we present and employ two alternatives to the traditional method. One is based on reducing the fitness differential between the competitors by using a common reference competitor from an intermediate generation that has intermediate fitness; the other alternative increases the initial population size of the less-fit, ancestral competitor. We performed a total of 480 competitions to compare the statistical properties of estimates obtained using these alternative methods with those obtained using the traditional method for samples taken over 50,000 generations from one of the LTEE populations. On balance, neither alternative method yielded measurements that were more precise than the traditional method.https://doi.org/10.1371/journal.pone.0126210
collection DOAJ
language English
format Article
sources DOAJ
author Michael J Wiser
Richard E Lenski
spellingShingle Michael J Wiser
Richard E Lenski
A Comparison of Methods to Measure Fitness in Escherichia coli.
PLoS ONE
author_facet Michael J Wiser
Richard E Lenski
author_sort Michael J Wiser
title A Comparison of Methods to Measure Fitness in Escherichia coli.
title_short A Comparison of Methods to Measure Fitness in Escherichia coli.
title_full A Comparison of Methods to Measure Fitness in Escherichia coli.
title_fullStr A Comparison of Methods to Measure Fitness in Escherichia coli.
title_full_unstemmed A Comparison of Methods to Measure Fitness in Escherichia coli.
title_sort comparison of methods to measure fitness in escherichia coli.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description In order to characterize the dynamics of adaptation, it is important to be able to quantify how a population's mean fitness changes over time. Such measurements are especially important in experimental studies of evolution using microbes. The Long-Term Evolution Experiment (LTEE) with Escherichia coli provides one such system in which mean fitness has been measured by competing derived and ancestral populations. The traditional method used to measure fitness in the LTEE and many similar experiments, though, is subject to a potential limitation. As the relative fitness of the two competitors diverges, the measurement error increases because the less-fit population becomes increasingly small and cannot be enumerated as precisely. Here, we present and employ two alternatives to the traditional method. One is based on reducing the fitness differential between the competitors by using a common reference competitor from an intermediate generation that has intermediate fitness; the other alternative increases the initial population size of the less-fit, ancestral competitor. We performed a total of 480 competitions to compare the statistical properties of estimates obtained using these alternative methods with those obtained using the traditional method for samples taken over 50,000 generations from one of the LTEE populations. On balance, neither alternative method yielded measurements that were more precise than the traditional method.
url https://doi.org/10.1371/journal.pone.0126210
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