Evidence map›Paper›PMID 27881471›Full record

ArticleGenetics2017

Selection Limits to Adaptive Walks on Correlated Landscapes.

Jorge Pérez Heredia, Barbora Trubenová, Dirk Sudholt, Tiago Paixão

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Surfing on the seascape: Adaptation in a changing environment.Evolution; international journal of organic evolution · 2019
    Article
  3. Article
  4. Article
  5. 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 at 2 institutions in 2 countries.

Jorge Pérez HerediaDepartment of Computer Science, University of Sheffield, S1 4DP, United Kingdom.
Barbora TrubenováInstitute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Dirk SudholtDepartment of Computer Science, University of Sheffield, S1 4DP, United Kingdom.
Tiago PaixãoInstitute of Science and Technology Austria, Klosterneuburg 3400, Austria tiago.paixao@ist.ac.at.
University of Sheffield · GBInstitute of Science and Technology Austria · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptation depends critically on the effects of new mutations and their dependency on the genetic background in which they occur. These two factors can be summarized by the fitness landscape. However, it would require testing all mutations in all backgrounds, making the definition and analysis of fitness landscapes mostly inaccessible. Instead of postulating a particular fitness landscape, we address this problem by considering general classes of landscapes and calculating an upper limit for the time it takes for a population to reach a fitness peak, circumventing the need to have full knowledge about the fitness landscape. We analyze populations in the weak-mutation regime and characterize the conditions that enable them to quickly reach the fitness peak as a function of the number of sites under selection. We show that for additive landscapes there is a critical selection strength enabling populations to reach high-fitness genotypes, regardless of the distribution of effects. This threshold scales with the number of sites under selection, effectively setting a limit to adaptation, and results from the inevitable increase in deleterious mutational pressure as the population adapts in a space of discrete genotypes. Furthermore, we show that for the class of all unimodal landscapes this condition is sufficient but not necessary for rapid adaptation, as in some highly epistatic landscapes the critical strength does not depend on the number of sites under selection; effectively removing this barrier to adaptation.

Indexed as

Genetic FitnessModels, GeneticSelection, GeneticAdaptation, Physiologicalcorrelated landscapescost of complexityspeed of adaptationweak selection regime

Identifiers

PMID27881471
PMCPMC5289853
OpenAlexW2550680346

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.