Evidence map›Paper›PMID 30699125›Full record

ArticlePloS one2019

Threshold response to stochasticity in morphogenesis.

George Courcoubetis, Sammi Ali, Sergey V Nuzhdin, Paul Marjoram, Stephan Haas

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Hexagonal patterning of the Drosophila eye.Developmental biology · 2021
    Review
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

5 authors.

George CourcoubetisDepartment of Physics and Astronomy, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0001-8622-6251
Sammi AliDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0002-3019-1923
Sergey V NuzhdinDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
Paul MarjoramDepartment of Preventative Medicine, Keck School of Medicine of USC, Los Angeles, California, United States of America.ORCID 0000-0003-0824-7449
Stephan HaasDepartment of Physics and Astronomy, University of Southern California, Los Angeles, California, United States of America.

Funding

Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Allele Specific Regulation of Context Specific GRNR01GM128193 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2018 to 2021
$1.5M
Quantitative Comparisons between genotypes and model speciesR01GM102227 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2012 to 2015
$1.2M
NIGMS NIH HHS R01 GM102227NIGMS NIH HHS R01 GM128193NIGMS NIH HHS U01 GM103804
6 · The paper itself

Abstract

During development of biological organisms, multiple complex structures are formed. In many instances, these structures need to exhibit a high degree of order to be functional, although many of their constituents are intrinsically stochastic. Hence, it has been suggested that biological robustness ultimately must rely on complex gene regulatory networks and clean-up mechanisms. Here we explore developmental processes that have evolved inherent robustness against stochasticity. In the context of the Drosophila eye disc, multiple optical units, ommatidia, develop into crystal-like patterns. During the larva-to-pupa stage of metamorphosis, the centers of the ommatidia are specified initially through the diffusion of morphogens, followed by the specification of R8 cells. Establishing the R8 cell is crucial in setting up the geometric, and functional, relationships of cells within an ommatidium and among neighboring ommatidia. Here we study an PDE mathematical model of these spatio-temporal processes in the presence of parametric stochasticity, defining and applying measures that quantify order within the resulting spatial patterns. We observe a universal sigmoidal response to increasing transcriptional noise. Ordered patterns persist up to a threshold noise level in the model parameters. In accordance with prior qualitative observations, as the noise is further increased past a threshold point of no return, these ordered patterns rapidly become disordered. Such robustness in development allows for the accumulation of genetic variation without any observable changes in phenotype. We argue that the observed sigmoidal dependence introduces robustness allowing for sizable amounts of genetic variation and transcriptional noise to be tolerated in natural populations without resulting in phenotype variation.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsDrosophila melanogasterGene Regulatory NetworksLarvaModels, TheoreticalMorphogenesisPhenotypePhotoreceptor Cells, InvertebratePupaStochastic Processes

Identifiers

PMID30699125
PMCPMC6353092

What OpenQuestion holds

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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.