Evidence map›Paper›PMID 25926697›Full record

ReviewJournal of the Royal Society, Interface2015

Rapid bursts and slow declines: on the possible evolutionary trajectories of enzymes.

Matilda S Newton, Vickery L Arcus, Wayne M Patrick

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mechanisms of protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  5. Article
  6. Review
  7. A major role for noncoding regulatory mutations in the evolution of enzyme activity.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Article
  9. Structural and functional innovations in the real-time evolution of new (βα)Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Article
  11. Article
  12. Review
  13. 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

3 authors at 2 institutions in 1 country.

Matilda S NewtonDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Vickery L ArcusSchool of Biology, University of Waikato, Hamilton, New Zealand.
Wayne M PatrickDepartment of Biochemistry, University of Otago, Dunedin, New Zealand wayne.patrick@otago.ac.nz.
University of Otago · NZUniversity of Waikato · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of enzymes is often viewed as following a smooth and steady trajectory, from barely functional primordial catalysts to the highly active and specific enzymes that we observe today. In this review, we summarize experimental data that suggest a different reality. Modern examples, such as the emergence of enzymes that hydrolyse human-made pesticides, demonstrate that evolution can be extraordinarily rapid. Experiments to infer and resurrect ancient sequences suggest that some of the first organisms present on the Earth are likely to have possessed highly active enzymes. Reconciling these observations, we argue that rapid bursts of strong selection for increased catalytic efficiency are interspersed with much longer periods in which the catalytic power of an enzyme erodes, through neutral drift and selection for other properties such as cellular energy efficiency or regulation. Thus, many enzymes may have already passed their catalytic peaks.

Indexed as

Evolution, MolecularModels, GeneticBacteriaBacterial ProteinsEnzymesHumansPesticidesBacterial ProteinsEnzymesPesticidesactivity thresholdadaptive evolutionancestral sequence reconstructioncatalytic efficiency

Identifiers

PMID25926697
PMCPMC4590496
OpenAlexW2146206588

What OpenQuestion holds

Textmetadata
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.