ArticleJournal of molecular evolution2023
Extreme Sensitivity of Fitness to Environmental Conditions: Lessons from #1BigBatch.
Article in Journal of molecular evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Genotype-fitness mapping of adaptive mutants reveals shifting low-dimensional structure across divergent environments.PLoS biology · 2026Article
- A cost-effective and scalable barcoded library construction method for deep mutational scanning studies.PLoS biology · 2026Article
- Environment-by-Environment Interactions Differ Across Genetic Backgrounds.Molecular biology and evolution · 2025Article
- Asynchronous abundance fluctuations can drive giant genotype frequency fluctuations.Nature ecology & evolution · 2025Article
- A high-resolution two-step evolution experiment in yeast reveals a shift from pleiotropic to modular adaptation.PLoS biology · 2024Article
- Single-cell heterogeneity in ribosome content and the consequences for the growth laws.bioRxiv : the preprint server for biology · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.eLife · 2024Article
- Environmental memory alters the fitness effects of adaptive mutations in fluctuating environments.Nature ecology & evolution · 2024Article
- Asynchronous abundance fluctuations can drive giant genotype frequency fluctuations.bioRxiv : the preprint server for biology · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.bioRxiv : the preprint server for biology · 2024Article
- Strong environmental memory revealed by experimental evolution in static and fluctuating environments.bioRxiv : the preprint server for biology · 2023Article
- Identifying Targets of Selection in Laboratory Evolution Experiments.Journal of molecular evolution · 2023Review
- Intra-Frontiers in genetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.