Evidence map›Paper›PMID 24604070›Full record

ArticlePLoS computational biology2014

Epigenetics decouples mutational from environmental robustness. Did it also facilitate multicellularity?

Saurabh Gombar, Thomas MacCarthy, Aviv Bergman

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Saurabh GombarDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, New York, United States of America.
Thomas MacCarthyDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, New York, United States of America; Department of Applied Mathematics and Statistics, State University of New York, Stony Brook, New York, United States of America.
Aviv BergmanDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, New York, United States of America.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
STATISTICS AND DATA MANAGEMENT COREP01AG027734 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BARZILAI, NIR J · 2007 to 2012
$9.3M
A Systems Methodology for the Biology of AgingR01AG028872 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BERGMAN, AVIV · 2007 to 2011
$1.8M
NIA NIH HHS P01 AG027734NIA NIH HHS P01-AG027734NIA NIH HHS R01 AG028872NIA NIH HHS R01-AG028872NIGMS NIH HHS T32 GM007288
6 · The paper itself

Abstract

The evolution of ever increasing complex life forms has required innovations at the molecular level in order to overcome existing barriers. For example, evolving processes for cell differentiation, such as epigenetic mechanisms, facilitated the transition to multicellularity. At the same time, studies using gene regulatory network models, and corroborated in single-celled model organisms, have shown that mutational robustness and environmental robustness are correlated. Such correlation may constitute a barrier to the evolution of multicellularity since cell differentiation requires sensitivity to cues in the internal environment during development. To investigate how this barrier might be overcome, we used a gene regulatory network model which includes epigenetic control based on the mechanism of histone modification via Polycomb Group Proteins, which evolved in tandem with the transition to multicellularity. Incorporating the Polycomb mechanism allowed decoupling of mutational and environmental robustness, thus allowing the system to be simultaneously robust to mutations while increasing sensitivity to the environment. In turn, this decoupling facilitated cell differentiation which we tested by evaluating the capacity of the system for producing novel output states in response to altered initial conditions. In the absence of the Polycomb mechanism, the system was frequently incapable of adding new states, whereas with the Polycomb mechanism successful addition of new states was nearly certain. The Polycomb mechanism, which dynamically reshapes the network structure during development as a function of expression dynamics, decouples mutational and environmental robustness, thus providing a necessary step in the evolution of multicellularity.

Indexed as

Epigenesis, GeneticGene Regulatory NetworksMutationAnimalsCell DifferentiationDNA Mutational AnalysisDrosophila melanogasterEnvironmentEvolution, MolecularGene-Environment InteractionGenetic Association StudiesHistonesPolycomb-Group ProteinsHistonesPolycomb-Group Proteins

Identifiers

PMID24604070
PMCPMC3945085

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Registered trials

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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.