Evidence map›Paper›PMID 26733489›Full record

ArticleMolecular biology and evolution2016

Adaptive Genetic Robustness of Escherichia coli Metabolic Fluxes.

Wei-Chin Ho, Jianzhi Zhang

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023
    Review
  4. Curating COBRA Models of Microbial Metabolism.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Review
  6. Environmental flexibility does not explain metabolic robustness.NPJ systems biology and applications · 2020
    Article
  7. Genetic buffering and potentiation in metabolism.PLoS computational biology · 2020
    Article
  8. Opportunities at the Interface of Network Science and Metabolic Modeling.Frontiers in bioengineering and biotechnology · 2020
    Review
  9. Article
  10. Article
  11. Network Architecture and Mutational Sensitivity of theFrontiers in molecular biosciences · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Nitric Oxide Overproduction in TomatoFrontiers in plant science · 2016
    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.

Wei-Chin HoDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor.
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor jianzhi@umich.edu.

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

Genetic robustness refers to phenotypic invariance in the face of mutation and is a common characteristic of life, but its evolutionary origin is highly controversial. Genetic robustness could be an intrinsic property of biological systems, a result of direct natural selection, or a byproduct of selection for environmental robustness. To differentiate among these hypotheses, we analyze the metabolic network of Escherichia coli and comparable functional random networks. Treating the flux of each reaction as a trait and computationally predicting trait values upon mutations or environmental shifts, we discover that 1) genetic robustness is greater for the actual network than the random networks, 2) the genetic robustness of a trait increases with trait importance and this correlation is stronger in the actual network than in the random networks, and 3) the above result holds even after the control of environmental robustness. These findings demonstrate an adaptive origin of genetic robustness, consistent with the theoretical prediction that, under certain conditions, direct selection is sufficiently powerful to promote genetic robustness in cellular organisms.

Indexed as

Biological EvolutionComputer SimulationEnvironmentEscherichia coliEvolution, MolecularMetabolic Flux AnalysisMetabolic Networks and PathwaysModels, GeneticMutationPhenotypeSelection, Geneticenvironmental robustnessevolutionflux balance analysismetabolic networknatural selection

Identifiers

PMID26733489
PMCPMC5010001

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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.