Evidence map›Paper›PMID 24516157›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

The predictability of molecular evolution during functional innovation.

Diana Blank, Luise Wolf, Martin Ackermann, Olin K Silander

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  9. Synonymous edits in theProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. How selection shapes the short- and long-term dynamics of molecular evolution.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
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  15. Article
  16. The cost of evolved constitutiveEcology and evolution · 2021
    Article
  17. Article
  18. Review
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  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

4 authors.

Diana BlankComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Luise Wolf
Martin Ackermann
Olin K Silander

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the molecular changes that give rise to functional innovations is a major unresolved problem in biology. The paucity of examples has served as a significant hindrance in furthering our understanding of this process. Here we used experimental evolution with the bacterium Escherichia coli to quantify the molecular changes underlying functional innovation in 68 independent instances ranging over 22 different metabolic functions. Using whole-genome sequencing, we show that the relative contribution of regulatory and structural mutations depends on the cellular context of the metabolic function. In addition, we find that regulatory mutations affect genes that act in pathways relevant to the novel function, whereas structural mutations affect genes that act in unrelated pathways. Finally, we use population genetic modeling to show that the relative contributions of regulatory and structural mutations during functional innovation may be affected by population size. These results provide a predictive framework for the molecular basis of evolutionary innovation, which is essential for anticipating future evolutionary trajectories in the face of rapid environmental change.

Indexed as

Evolution, MolecularModels, GeneticPhenotypeAdaptation, BiologicalBase SequenceDirected Molecular EvolutionDNA, IntergenicEscherichia coliGenetics, PopulationMetabolic Networks and PathwaysMolecular Sequence DataMutationPopulation DensitySequence Analysis, DNADNA, Intergenicadaptationbiosynthesiscompensatory mutationtranscription

Identifiers

PMID24516157
PMCPMC3939917

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.