SynthesisPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023
Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.
Synthesis in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Pooled it
- Gene-level complexity explains genome-wide variation in the distribution of fitness effects.Molecular biology and evolution · 2026Article
- Bacterial Persistence Modulates the Speed, Magnitude, and Onset of Antibiotic Resistance Evolution.Molecular biology and evolution · 2026Article
- Toward a Functional Genetics of Adaptation: Insights From Microbial Experimental Evolution.Genome biology and evolution · 2026Review
- Mutation-biased adaptation is consequential even in large bacterial populations.Nature communications · 2026Article
- Gene expression evolution is predicted by stronger indirect selection at more pleiotropic genes.Evolution letters · 2025Article
- Adaptive genetics reveals constraints on protein structure/function by evolving E. coli under constant nutrient limitation.BMC biology · 2025Article
- Regulatory networks may evolve to favor adaptive foresight.PLoS biology · 2024Article
- A high-resolution two-step evolution experiment in yeast reveals a shift from pleiotropic to modular adaptation.PLoS biology · 2024Article
- Convergent genetic adaptation ofFrontiers in molecular biosciences · 2024Article
- Quantifying microbial guilds.ISME communications · 2024Article
- Interdisciplinary approaches to predicting evolutionary biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 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
3 authors at 1 institution in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
What causes evolution to be repeatable is a fundamental question in evolutionary biology. Pleiotropy, i.e. the effect of an allele on multiple traits, is thought to enhance repeatability by constraining the number of available beneficial mutations. Additionally, pleiotropy may promote repeatability by allowing large fitness benefits of single mutations via adaptive combinations of phenotypic effects. Yet, this latter evolutionary potential may be reaped solely by specific types of mutations able to realize optimal combinations of phenotypic effects while avoiding the costs of pleiotropy. Here, we address the interaction of gene pleiotropy and mutation type on evolutionary repeatability in a meta-analysis of experimental evolution studies with
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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.