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Noise⁻Seeded Developmental Pattern Formation in Filamentous Cyanobacteria.

Rinat Arbel-Goren1, Francesca Di Patti2,3,4, Duccio Fanelli5,6,7

  • 1Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel. rinat.goren@weizmann.ac.il.

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Summary
This summary is machine-generated.

Cell differentiation in cyanobacteria forms patterns via morphogens. Stochastic Turing patterns, driven by gene expression noise, offer a more robust explanation than deterministic models for this developmental process.

Keywords:
demographic noisedevelopmental pattern formationfilamentous cyanobacteriastochastic Turing patterns

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Area of Science:

  • Developmental biology
  • Microbiology
  • Systems biology

Background:

  • Multicellular cyanobacteria like *Anabaena* sp. PCC 7120 differentiate into specialized cells (heterocysts) under nitrogen-poor conditions.
  • Pattern formation is regulated by diffusing morphogens acting as activators and inhibitors.

Purpose of the Study:

  • To evaluate the limitations of classical Turing mechanisms for pattern formation.
  • To introduce and explain the paradigm of stochastic Turing patterns for a more robust description of developmental patterns.

Main Methods:

  • Analysis of deterministic Turing mechanisms.
  • Focus on birth-death processes to model pattern formation.
  • Pedagogical illustration of stochastic Turing patterns.

Main Results:

  • Deterministic Turing mechanisms have limitations in explaining observed patterns.
  • Stochastic Turing patterns provide a more robust framework for pattern formation.
  • Demographic noise (cell-to-cell molecular number differences) is crucial for seeding stochastic Turing patterns over a wider parameter range.

Conclusions:

  • Stochastic Turing patterns, influenced by demographic noise, offer a superior model for cyanobacterial differentiation compared to deterministic approaches.
  • Cellular noise plays a fundamental role in biological pattern formation.