Evidence map›Paper›PMID 29228219›Full record

ArticleGenome biology and evolution2017

Why Phenotype Robustness Promotes Phenotype Evolvability.

Xinzhu Wei, Jianzhi Zhang

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Xinzhu WeiDepartment of Ecology and Evolutionary Biology, University of Michigan.
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan.

Funding

Pleiotropy: patterns, mechanisms, and evolutionary consequencesR01GM103232 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIANZHI · 2013 to 2020
$1.8M
NIGMS NIH HHS R01 GM103232
6 · The paper itself

Abstract

Robustness and evolvability are fundamental characteristics of life whose relationship has intrigued generations of biologists. Studies of several genotype-phenotype maps (GPMs) such as the map between short DNA sequences and their bindings to transcription factors showed that phenotype robustness (PR) promotes phenotype evolvability (PE), but the underlying reason is unclear. Here, we show mathematically that the expected PE is a monotonically increasing function of the expected PR in random GPMs. Population genetic simulations confirm that increasing PR raises the probability that a target phenotype appears in a population within a given time, under empirical as well as randomly rewired GPMs. These and other results demonstrate that the positive correlation between PR and PE is mathematical rather than biological. Hence, it is unsurprising to observe this correlation in every empirical GPM investigated, although the magnitude of the correlation may vary due to influences of various biological factors.

Indexed as

Evolution, MolecularGenetics, PopulationModels, GeneticPhenotypeGenotypeHumansMutationTranscription FactorsTranscription Factorsevolutiongenotype–phenotype mapneutral networktranscription factor binding sequences

Identifiers

PMID29228219
PMCPMC5751051

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.