Evidence map›Paper›PMID 23360105›Full record

ArticleBiochemistry2013

A population-based experimental model for protein evolution: effects of mutation rate and selection stringency on evolutionary outcomes.

Aaron M Leconte, Bryan C Dickinson, David D Yang, Irene A Chen, Benjamin Allen, David R Liu

Abstract read
In one paragraph

Article in Biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Effects of selection stringency on the outcomes of directed evolution.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Probing pathways of adaptation with continuous evolution.Current opinion in systems biology · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Aaron M LeconteDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.
Bryan C Dickinson
David D Yang
Irene A Chen
Benjamin Allen
David R Liu

Funding

Expanding the Scope of Protein EvolutionR01GM065400 · NIGMS · HARVARD UNIVERSITY · PI LIU, DAVID R · 2002 to 2010
$2.5M
Identification and Characterization of Small Molecule-RNA Conjugates in YeastF32GM095028 · NIGMS · HARVARD UNIVERSITY · PI LECONTE, AARON MORGAN · 2010 to 2011
$95k
Howard Hughes Medical InstituteNIGMS NIH HHS F32 GM095028NIGMS NIH HHS F32GM095028NIGMS NIH HHS R01 GM065400
6 · The paper itself

Abstract

Protein evolution is a critical component of organismal evolution and a valuable method for the generation of useful molecules in the laboratory. Few studies, however, have experimentally characterized how fundamental parameters influence protein evolution outcomes over long evolutionary trajectories or multiple replicates. In this work, we applied phage-assisted continuous evolution (PACE) as an experimental platform to study evolving protein populations over hundreds of rounds of evolution. We varied evolutionary conditions as T7 RNA polymerase evolved to recognize the T3 promoter DNA sequence and characterized how specific combinations of both mutation rate and selection stringency reproducibly result in different evolutionary outcomes. We observed significant and dramatic increases in the activity of the evolved RNA polymerase variants on the desired target promoter after selection for 96 h, confirming positive selection occurred under all conditions. We used high-throughput sequencing to quantitatively define convergent genetic solutions, including mutational "signatures" and nonsignature mutations that map to specific regions of protein sequence. These findings illuminate key determinants of evolutionary outcomes, inform the design of future protein evolution experiments, and demonstrate the value of PACE as a method for studying protein evolution.

Indexed as

Evolution, MolecularPromoter Regions, GeneticBacteriophage T7Base SequenceDNA-Directed RNA PolymerasesDNA, ViralModels, BiologicalModels, GeneticModels, MolecularMutation RateSelection, GeneticViral Proteinsbacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesDNA, ViralViral Proteins

Identifiers

PMID23360105
PMCPMC3641671

What OpenQuestion holds

Textmetadata
LicenceTDM
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.