Evidence map›Paper›PMID 41628264›Full record

ArticlePLoS genetics2026

Using TraDIS as a complementary approach to long term evolution for mapping adaptive mutations in Escherichia coli.

Mathew T Milner, Hrishiraj Sen, Manuel Banzhaf, Peter A Lund

Abstract read
In one paragraph

Article in PLoS genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mathew T MilnerInstitute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0009-0004-8653-4640
Hrishiraj SenInstitute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, United Kingdom.
Manuel BanzhafBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Peter A LundInstitute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-6381-8526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long term laboratory-based evolution experiments are a powerful tool that are increasingly being used to study fundamental aspects of evolution and to identify genes that contribute to overall fitness under different conditions. However, even with automation, the time that they take to execute limits the extent to which evolution experiments can be used as part of a high throughput approach to understand the links between genotype and phenotype. Mutations that lead to genetic loss of function (LoF) are frequently selected for in evolution experiments. Thus, in principle these experiments could be done more rapidly by starting not with clonal isolates but with dense transposon libraries that will contain loss of function mutations in all non-essential genes. Here, we test this hypothesis by comparing the results of long term (5 month) evolution experiment, in which E. coli was grown with daily transfers in unbuffered LB starting at pH 4.5, with short term (5 and 10 day) experiments on a high-density transposon library in the same strain and under the same conditions. We show that there is a overlap in the genes and pathways identified using the two methods, as well as identifying other gene of interest whose LoF contributes to fitness. This approach has the potential to complement laboratory-based evolution, enabling rapid, higher throughput, testing of a wide range of parameters that may have an influence on evolutionary trajectories.

Indexed as

Directed Molecular EvolutionEscherichia coliEvolution, MolecularMutationDNA Transposable ElementsGenetic FitnessLoss of Function MutationPhenotypeDNA Transposable Elements

Identifiers

PMID41628264
PMCPMC12956098

What OpenQuestion holds

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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.