Evidence map›Paper›PMID 25205090›Full record

ArticlemBio2014

Large chromosomal rearrangements during a long-term evolution experiment with Escherichia coli.

Colin Raeside, Joël Gaffé, Daniel E Deatherage, Olivier Tenaillon, Adam M Briska, Ryan N Ptashkin, Stéphane Cruveiller, Claudine Médigue, Richard E Lenski, Jeffrey E Barrick and 1 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 155 citations in OpenAlex.

  1. Article
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40 more citing papers are in PubMed but not listed here.

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

11 authors at 7 institutions in 2 countries.

Colin Raeside
Joël Gaffé
Daniel E DeatherageDepartment of Molecular Biosciences, Institute for Cellular and Molecular Biology, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA.
Olivier Tenaillon
Adam M BriskaOpGen, Inc., Gaithersburg, Maryland, USA.
Ryan N PtashkinOpGen, Inc., Gaithersburg, Maryland, USA.
Stéphane Cruveiller
Claudine Médigue
Richard E Lenski
Jeffrey E Barrick
Dominique Schneiderdominique.schneider@ujf-grenoble.fr.
Université Grenoble Alpes · FROpGen (United States) · USThe University of Texas at Austin · USCentre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRDélégation Paris 7 · FRMichigan State University · US

Funding

Identifying Mutations that Promote Microbial EvolvabilityR00GM087550 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN · 2011 to 2013
$724k
NIGMS NIH HHS R00 GM087550NIGMS NIH HHS R00-GM087550
6 · The paper itself

Abstract

unlabelledLarge-scale rearrangements may be important in evolution because they can alter chromosome organization and gene expression in ways not possible through point mutations. In a long-term evolution experiment, twelve Escherichia coli populations have been propagated in a glucose-limited environment for over 25 years. We used whole-genome mapping (optical mapping) combined with genome sequencing and PCR analysis to identify the large-scale chromosomal rearrangements in clones from each population after 40,000 generations. A total of 110 rearrangement events were detected, including 82 deletions, 19 inversions, and 9 duplications, with lineages having between 5 and 20 events. In three populations, successive rearrangements impacted particular regions. In five populations, rearrangements affected over a third of the chromosome. Most rearrangements involved recombination between insertion sequence (IS) elements, illustrating their importance in mediating genome plasticity. Two lines of evidence suggest that at least some of these rearrangements conferred higher fitness. First, parallel changes were observed across the independent populations, with ~65% of the rearrangements affecting the same loci in at least two populations. For example, the ribose-utilization operon and the manB-cpsG region were deleted in 12 and 10 populations, respectively, suggesting positive selection, and this inference was previously confirmed for the former case. Second, optical maps from clones sampled over time from one population showed that most rearrangements occurred early in the experiment, when fitness was increasing most rapidly. However, some rearrangements likely occur at high frequency and may have simply hitchhiked to fixation. In any case, large-scale rearrangements clearly influenced genomic evolution in these populations. IMPORTANCE: Bacterial chromosomes are dynamic structures shaped by long histories of evolution. Among genomic changes, large-scale DNA rearrangements can have important effects on the presence, order, and expression of genes. Whole-genome sequencing that relies on short DNA reads cannot identify all large-scale rearrangements. Therefore, deciphering changes in the overall organization of genomes requires alternative methods, such as optical mapping. We analyzed the longest-running microbial evolution experiment (more than 25 years of evolution in the laboratory) by optical mapping, genome sequencing, and PCR analyses. We found multiple large genome rearrangements in all 12 independently evolving populations. In most cases, it is unclear whether these changes were beneficial themselves or, alternatively, hitchhiked to fixation with other beneficial mutations. In any case, many genome rearrangements accumulated over decades of evolution, providing these populations with genetic plasticity reminiscent of that observed in some pathogenic bacteria.

Indexed as

Evolution, MolecularGene RearrangementGenome, BacterialChromosome InversionChromosome MappingChromosomes, BacterialDNA, BacterialDNA Transposable ElementsEscherichia coliGene DeletionGenomicsSequence Analysis, DNADNA, BacterialDNA Transposable Elements

Identifiers

PMID25205090
PMCPMC4173774
OpenAlexW2111012231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.