ArticlePhysical review letters2017
Suppression of Beneficial Mutations in Dynamic Microbial Populations.
Article in Physical review letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed.
- Intra-strain genetic heterogeneity in Toxoplasma gondii ME49: Oxford Nanopore long-read sequencing reveals copy number variation in the ROP8-ROP2A locus.BMC genomics · 2025Article
- Article
- Mutant fixation in the presence of a natural enemy.Nature communications · 2023Article
- Adaptive Laboratory Evolution of Microalgae: A Review of the Regulation of Growth, Stress Resistance, Metabolic Processes, and Biodegradation of Pollutants.Frontiers in microbiology · 2021Review
- The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.Metabolic engineering · 2019Review
- Rational engineering of synthetic microbial systems: from single cells to consortia.Current opinion in microbiology · 2018Review
- Article
- A stabilized microbial ecosystem of self-limiting bacteria using synthetic quorum-regulated lysis.Nature microbiology · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Quantitative predictions for the spread of mutations in bacterial populations are essential to interpret evolution experiments and to improve the stability of synthetic gene circuits. We derive analytical expressions for the suppression factor for beneficial mutations in populations that undergo periodic dilutions, covering arbitrary population sizes, dilution factors, and growth advantages in a single stochastic model. We find that the suppression factor grows with the dilution factor and depends nontrivially on the growth advantage, resulting in the preferential elimination of mutations with certain growth advantages. We confirm our results by extensive numerical simulations.
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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.