Evidence map›Paper›PMID 33151935›Full record

ArticlePLoS computational biology2020

The Moran process on 2-chromatic graphs.

Kamran Kaveh, Alex McAvoy, Krishnendu Chatterjee, Martin A Nowak

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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 4 institutions in 2 countries.

Kamran KavehDepartment of Mathematics, Dartmouth College, Hanover, New Hampshire, United States.ORCID 0000-0002-8213-1797
Alex McAvoyDepartment of Mathematics, University of Pennsylvania, Philadelphia, Pennsylvania, United States.ORCID 0000-0002-9110-4635
Krishnendu ChatterjeeInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Martin A NowakDepartment of Mathematics, Harvard University, Cambridge, Massachusetts, United States.ORCID 0000-0001-5489-0908
Dartmouth College · USHarvard University · USInstitute of Science and Technology Austria · ATUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resources are rarely distributed uniformly within a population. Heterogeneity in the concentration of a drug, the quality of breeding sites, or wealth can all affect evolutionary dynamics. In this study, we represent a collection of properties affecting the fitness at a given location using a color. A green node is rich in resources while a red node is poorer. More colors can represent a broader spectrum of resource qualities. For a population evolving according to the birth-death Moran model, the first question we address is which structures, identified by graph connectivity and graph coloring, are evolutionarily equivalent. We prove that all properly two-colored, undirected, regular graphs are evolutionarily equivalent (where "properly colored" means that no two neighbors have the same color). We then compare the effects of background heterogeneity on properly two-colored graphs to those with alternative schemes in which the colors are permuted. Finally, we discuss dynamic coloring as a model for spatiotemporal resource fluctuations, and we illustrate that random dynamic colorings often diminish the effects of background heterogeneity relative to a proper two-coloring.

Indexed as

Biological EvolutionModels, BiologicalAnimalsColorComputational BiologyComputer GraphicsComputer SimulationGenetic FitnessGenetics, PopulationHumansMathematical ConceptsMutationPopulation DynamicsProbabilitySpatio-Temporal Analysis

Identifiers

PMID33151935
PMCPMC7671562
OpenAlexW3088987419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.