ArticlePeerJ2020
High-throughput analysis of adaptation using barcoded strains of
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Pangenome-based design of strain-specific primers enables precise monitoring of bacteria in human microbiome intervention trials.Scientific reports · 2026Article
- Saccharomyces cerevisiae as a model for mammalian diseases.FEMS yeast research · 2026Review
- Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes.Molecular systems biology · 2024Article
- Fluctuating selection facilitates the discovery of broadly effective but difficult to reach adaptive outcomes in yeast.Evolution letters · 2024Article
- Best Practices in Designing, Sequencing, and Identifying Random DNA Barcodes.Journal of molecular evolution · 2023Review
- The Role of the Environment in Horizontal Gene Transfer.Molecular biology and evolution · 2022Article
- Origins, evolution, and physiological implications of de novo genes in yeast.Yeast (Chichester, England) · 2022Review
- Article
- Precise measurement of the fitness effects of spontaneous mutations by droplet digital PCR in Burkholderia cenocepacia.Genetics · 2021Article
- Methods for measuring the evolutionary stability of engineered genomes to improve their longevity.Synthetic biology (Oxford, England) · 2021Article
- Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundExperimental evolution of microbes can be used to empirically address a wide range of questions about evolution and is increasingly employed to study complex phenomena ranging from genetic evolution to evolutionary rescue. Regardless of experimental aims, fitness assays are a central component of this type of research, and low-throughput often limits the scope and complexity of experimental evolution studies. We created an experimental evolution system in
resultsWe first confirm that barcode insertions do not alter fitness and that barcode sequencing can be used to efficiently detect fitness differences via pooled competition-based fitness assays. Next, we examine the effects of ploidy, chemical stress, and population bottleneck size on the evolutionary dynamics and fitness gains (adaptation) in a total of 76 experimentally evolving, asexual populations by conducting 1,216 fitness assays and analyzing 532 longitudinal-evolutionary samples collected from the evolving populations. In our analysis of these data we describe the strengths of this experimental evolution system and explore sources of error in our measurements of fitness and evolutionary dynamics.
conclusionsOur experimental treatments generated distinct fitness effects and evolutionary dynamics, respectively quantified via multiplexed fitness assays and barcode lineage tracking. These findings demonstrate the utility of this new resource for designing and improving high-throughput studies of experimental evolution. The approach described here provides a framework for future studies employing experimental designs that require high-throughput multiplexed fitness measurements.
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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.