Evidence map›Paper›PMID 26567153›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Breaking evolutionary constraint with a tradeoff ratchet.

Marjon G J de Vos, Alexandre Dawid, Vanda Sunderlikova, Sander J Tans

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mechanisms of protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Evolution in alternating environments with tunable interlandscape correlations.Evolution; international journal of organic evolution · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. The causes of evolvability and their evolution.Nature reviews. Genetics · 2019
    Review
  18. Article
  19. Physical foundations of biological complexity.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. 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.

Marjon G J de VosFoundation for Fundamental Research on Matter Institute for Atomic and Molecular Physics (FOM Institute AMOLF), 1098 XG Amsterdam, The Netherlands; Institute of Science and Technology Austria, 3400 Klosterneuburg, Austria; Wageningen University, 6708 PB Wageningen, The Netherlands;
Alexandre DawidUniversity of Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, F-38402 Grenoble, France; CNRS, Laboratoire Interdisciplinaire de Physique, F-38402 Grenoble, France.
Vanda SunderlikovaFoundation for Fundamental Research on Matter Institute for Atomic and Molecular Physics (FOM Institute AMOLF), 1098 XG Amsterdam, The Netherlands;
Sander J TansFoundation for Fundamental Research on Matter Institute for Atomic and Molecular Physics (FOM Institute AMOLF), 1098 XG Amsterdam, The Netherlands; tans@amolf.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epistatic interactions can frustrate and shape evolutionary change. Indeed, phenotypes may fail to evolve when essential mutations are only accessible through positive selection if they are fixed simultaneously. How environmental variability affects such constraints is poorly understood. Here, we studied genetic constraints in fixed and fluctuating environments using the Escherichia coli lac operon as a model system for genotype-environment interactions. We found that, in different fixed environments, all trajectories that were reconstructed by applying point mutations within the transcription factor-operator interface became trapped at suboptima, where no additional improvements were possible. Paradoxically, repeated switching between these same environments allows unconstrained adaptation by continuous improvements. This evolutionary mode is explained by pervasive cross-environmental tradeoffs that reposition the peaks in such a way that trapped genotypes can repeatedly climb ascending slopes and hence, escape adaptive stasis. Using a Markov approach, we developed a mathematical framework to quantify the landscape-crossing rates and show that this ratchet-like adaptive mechanism is robust in a wide spectrum of fluctuating environments. Overall, this study shows that genetic constraints can be overcome by environmental change and that cross-environmental tradeoffs do not necessarily impede but also, can facilitate adaptive evolution. Because tradeoffs and environmental variability are ubiquitous in nature, we speculate this evolutionary mode to be of general relevance.

Indexed as

Directed Molecular EvolutionGene-Environment InteractionPoint MutationEscherichia coliEscherichia coli ProteinsLac OperonTranscription FactorsEscherichia coli ProteinsTranscription Factorsconstraintenvironmentepistasisevolutionfitness landscape

Identifiers

PMID26567153
PMCPMC4672788

What OpenQuestion holds

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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.