Evidence map›Paper›PMID 33088623›Full record

ArticlePeerJ2020

High-throughput analysis of adaptation using barcoded strains of

Vincent J Fasanello, Ping Liu, Carlos A Botero, Justin C Fay

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. The Role of the Environment in Horizontal Gene Transfer.Molecular biology and evolution · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Vincent J FasanelloDivision of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, United States of America.
Ping LiuDepartment of Genetics, Washington University in St. Louis, St. Louis, MO, United States of America.
Carlos A BoteroDepartment of Biology, Washington University in St. Louis, St. Louis, MO, United States of America.
Justin C FayDepartment of Genetics, Washington University in St. Louis, St. Louis, MO, United States of America.
Washington University in St. Louis · US

Funding

Genetic basis and evolution of thermotolerance in the Saccharomyces yeast speciesR01GM080669 · NIGMS · WASHINGTON UNIVERSITY · PI FAY, JUSTIN C · 2007 to 2025
$5.3M
NIGMS NIH HHS R01 GM080669
6 · The paper itself

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.

Indexed as

Experimental EvolutionFitness AssayGenetic BarcodingLineage TrackingSaccharomyces cerevisiaeYeast

Identifiers

PMID33088623
PMCPMC7571412
OpenAlexW3092759374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.