Evidence map›Paper›PMID 19404461›Full record

ArticleHFSP journal2007

Latent evolutionary potentials under the neutral mutational drift of an enzyme.

Gil Amitai, Rinkoo Devi Gupta, Dan S Tawfik

Abstract read
In one paragraph

Article in HFSP journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Mechanisms of protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Probing pathways of adaptation with continuous evolution.Current opinion in systems biology · 2019
    Article
  18. Article
  19. Article
  20. Article

9 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

3 authors.

Gil AmitaiDepartment of Biological Chemistry, the Weizmann Institute of Science, Rehovot 76100, Israel.
Rinkoo Devi Gupta
Dan S Tawfik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological systems exhibit mutational robustness, or neutrality, whereby the impact of mutations is minimized. Does neutrality hamper their ability to adapt in the face of changing environments? We monitored changes in genotype and phenotype that occur within a neutral mutational network of an enzyme, experimentally and computationally (see accompanying article). Using the enzyme PON1 as a model, we performed random mutagenesis and purifying selection to purge deleterious mutations. We characterized approximately 300 variants that are apparently neutral, or close to neutral, with respect to PON1's levels of expression and native lactonase activity. Their activities with promiscuous substrates and ligands indicated significant changes in adaptive potentials. Almost half of the variants exhibited changes in promiscuous activities, specificities, or inhibition, and several of these were found to be one or two mutations, closer to potentially new phenotypes: aryl esterase, thiolactonase, phosphotriesterase, or drug resistance. This empirical measure of phenotypic changes under neutrality supports the notion that sequence changes that are neutral, i.e., non-adaptive, in a current context can facilitate adaptation under changing circumstances, by both expanding the activity range of existing enzymes and thus providing an immediate advantage, and by reducing the number of mutations required for divergence of new functions.

Identifiers

PMID19404461
PMCPMC2645560

What OpenQuestion holds

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Read underepoch 390

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.