Evidence map›Paper›PMID 28233029›Full record

ArticleJournal of molecular evolution2017

Experimental Evolution of Escherichia coli Harboring an Ancient Translation Protein.

Betül Kacar, Xueliang Ge, Suparna Sanyal, Eric A Gaucher

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Article
  2. Macrolide resistance trajectories across threeFrontiers in microbiology · 2026
    Article
  3. Review
  4. Article
  5. Experimental evolution for cell biology.Trends in cell biology · 2023
    Review
  6. Early divergence of translation initiation and elongation factors.Protein science : a publication of the Protein Society · 2022
    Article
  7. Surface display of carbonic anhydrase onSynthetic and systems biotechnology · 2022
    Article
  8. An Integrated Method to Reconstruct Ancient Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. The cost of evolved constitutiveEcology and evolution · 2021
    Article
  10. Article
  11. Article
  12. Evolutionary stalling and a limit on the power of natural selection to improve a cellular module.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Review
  14. Emerging Frontiers in the Study of Molecular Evolution.Journal of molecular evolution · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Resurrecting ancestral genes in bacteria to interpret ancient biosignatures.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017
    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.

Betül KacarNASA Astrobiology Institute, Mountain View, CA, 94035, USA. kacar@fas.harvard.edu.
Xueliang GeDepartment of Cell and Molecular Biology, Uppsala University, BMC, Box-596, 75124, Uppsala, Sweden.
Suparna SanyalDepartment of Cell and Molecular Biology, Uppsala University, BMC, Box-596, 75124, Uppsala, Sweden.
Eric A GaucherSchool of Biology, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to design synthetic genes and engineer biological systems at the genome scale opens new means by which to characterize phenotypic states and the responses of biological systems to perturbations. One emerging method involves inserting artificial genes into bacterial genomes and examining how the genome and its new genes adapt to each other. Here we report the development and implementation of a modified approach to this method, in which phylogenetically inferred genes are inserted into a microbial genome, and laboratory evolution is then used to examine the adaptive potential of the resulting hybrid genome. Specifically, we engineered an approximately 700-million-year-old inferred ancestral variant of tufB, an essential gene encoding elongation factor Tu, and inserted it in a modern Escherichia coli genome in place of the native tufB gene. While the ancient homolog was not lethal to the cell, it did cause a twofold decrease in organismal fitness, mainly due to reduced protein dosage. We subsequently evolved replicate hybrid bacterial populations for 2000 generations in the laboratory and examined the adaptive response via fitness assays, whole genome sequencing, proteomics, and biochemical assays. Hybrid lineages exhibit a general adaptive strategy in which the fitness cost of the ancient gene was ameliorated in part by upregulation of protein production. Our results suggest that an ancient-modern recombinant method may pave the way for the synthesis of organisms that exhibit ancient phenotypes, and that laboratory evolution of these organisms may prove useful in elucidating insights into historical adaptive processes.

Indexed as

Biological EvolutionDNA, AncientEscherichia coliEscherichia coli ProteinsGenes, BacterialGenome, BacterialOperonPeptide Elongation Factor TuSequence AlignmentSequence AnalysisSequence Analysis, ProteinDNA, AncientEscherichia coli ProteinsPeptide Elongation Factor TutufB protein, E coli

Identifiers

PMID28233029
PMCPMC5371648

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.