ArticlePloS one2015
A Comparison of Methods to Measure Fitness in Escherichia coli.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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Who cites it
97 citing papers in PubMed.
- A Reassessment of Positive Growth Effects of Expressed Random Sequence Clones in E. coli Suggests Direct Adaptive Functions.Genome biology and evolution · 2026Article
- The genetic landscape of antibiotic sensitivity inScience advances · 2026Article
- Extremal events dictate population growth rate inference.PLoS computational biology · 2026Article
- Genome-wide analysis exploring mechanisms used bymSystems · 2026Article
- Elucidation of the growth phenotypes of 82 strains from theFrontiers in bioengineering and biotechnology · 2026Article
- Evolution of beta-lactam resistance causes fitness reductions and several cases of collateral sensitivities in the human pathogenAntimicrobial agents and chemotherapy · 2025Article
- Short- and Long-Term Evolution of Microbial Cultures: A Thermodynamic Perspective.International journal of molecular sciences · 2025Article
- Evolution of a Plasmid Regulatory Circuit Ameliorates Plasmid Fitness Cost.Molecular biology and evolution · 2025Article
- Plasmid Backbone Impacts Conjugation Rate, Transconjugant Fitness, and Community Assembly of Genetically Bioaugmented Soil Microbes for PAH Bioremediation.ACS environmental Au · 2025Article
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- Temporal Changes in the Role of Species Sorting and Evolution Determine Community Dynamics.Ecology letters · 2025Article
- Quantifying Competitive Fitness in Yeast with High-Throughput Fluorescence Microscopy Imaging.Current protocols · 2025Article
- Nutrient-rich spatial refuges buffer against extinction and promote evolutionary rescue in evolving microbial populations.Proceedings. Biological sciences · 2024Article
- Methods for studying microbial acid stress responses: from molecules to populations.FEMS microbiology reviews · 2024Review
- Mutant fate in spatially structured populations on graphs: Connecting models to experiments.PLoS computational biology · 2024Article
- Improving the Accuracy of Bulk Fitness Assays by Correcting Barcode Processing Biases.Molecular biology and evolution · 2024Article
- Acquisition of plasmids from Shiga toxin-producing Escherichia coli strains had low or neutral fitness cost on commensal E. coli.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Evolution of a Plasmid Regulatory Circuit Ameliorates Plasmid Fitness Cost.bioRxiv : the preprint server for biology · 2024Article
- A dose-response model for statistical analysis of chemical genetic interactions in CRISPRi screens.PLoS computational biology · 2024Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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