Evidence map›Paper›PMID 29727442›Full record

ArticlePLoS biology2018

Robust stochastic Turing patterns in the development of a one-dimensional cyanobacterial organism.

Francesca Di Patti, Laura Lavacchi, Rinat Arbel-Goren, Leora Schein-Lubomirsky, Duccio Fanelli, Joel Stavans

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. 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
3.2field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

  1. Stochastic theory for pattern formation and front propagation in transitional pipe turbulence.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Stochastic Turing patterns of trichomes inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Ecological drivers of division of labour in Streptomyces.Current opinion in microbiology · 2022
    Review
  9. Review
  10. Turing pattern design principles and their robustness.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Stochastic Turing patterns in a synthetic bacterial population.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

6 authors at 3 institutions in 2 countries.

Francesca Di PattiUniversità degli Studi di Firenze, Dipartimento di Fisica e Astronomia, Sesto Fiorentino, Italia.
Laura LavacchiUniversità degli Studi di Firenze, Dipartimento di Fisica e Astronomia, Sesto Fiorentino, Italia.
Rinat Arbel-GorenDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Leora Schein-LubomirskyDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Duccio FanelliUniversità degli Studi di Firenze, Dipartimento di Fisica e Astronomia, Sesto Fiorentino, Italia.
Joel StavansDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Weizmann Institute of Science · ILIstituto Nazionale di Fisica Nucleare, Sezione di Firenze · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under nitrogen deprivation, the one-dimensional cyanobacterial organism Anabaena sp. PCC 7120 develops patterns of single, nitrogen-fixing cells separated by nearly regular intervals of photosynthetic vegetative cells. We study a minimal, stochastic model of developmental patterns in Anabaena that includes a nondiffusing activator, two diffusing inhibitor morphogens, demographic fluctuations in the number of morphogen molecules, and filament growth. By tracking developing filaments, we provide experimental evidence for different spatiotemporal roles of the two inhibitors during pattern maintenance and for small molecular copy numbers, justifying a stochastic approach. In the deterministic limit, the model yields Turing patterns within a region of parameter space that shrinks markedly as the inhibitor diffusivities become equal. Transient, noise-driven, stochastic Turing patterns are produced outside this region, which can then be fixed by downstream genetic commitment pathways, dramatically enhancing the robustness of pattern formation, also in the biologically relevant situation in which the inhibitors' diffusivities may be comparable.

Indexed as

Models, BiologicalAnabaenaBacterial ProteinsOxidoreductasesStochastic ProcessesBacterial ProteinsHetN protein, AnabaenaHetR protein, BacteriaOxidoreductasesPatS protein, Anabaena

Identifiers

PMID29727442
PMCPMC5955598
OpenAlexW2802780511

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.