Literature DB >> 33449631

Synthetic Lateral Inhibition in Periodic Pattern Forming Microbial Colonies.

Salva Duran-Nebreda1,2,3, Jordi Pla1,2, Blai Vidiella1,2, Jordi Piñero1,2, Nuria Conde-Pueyo1,2, Ricard Solé1,2,4.   

Abstract

Multicellular entities are characterized by intricate spatial patterns, intimately related to the functions they perform. These patterns are often created from isotropic embryonic structures, without external information cues guiding the symmetry breaking process. Mature biological structures also display characteristic scales with repeating distributions of signals or chemical species across space. Many candidate patterning modules have been used to explain processes during development and typically include a set of interacting and diffusing chemicals or agents known as morphogens. Great effort has been put forward to better understand the conditions in which pattern-forming processes can occur in the biological domain. However, evidence and practical knowledge allowing us to engineer symmetry-breaking is still lacking. Here we follow a different approach by designing a synthetic gene circuit in E. coli that implements a local activation long-range inhibition mechanism. The synthetic gene network implements an artificial differentiation process that changes the physicochemical properties of the agents. Using both experimental results and modeling, we show that the proposed system is capable of symmetry-breaking leading to regular spatial patterns during colony growth. Studying how these patterns emerge is fundamental to further our understanding of the evolution of biocomplexity and the role played by self-organization. The artificial system studied here and the engineering perspective on embryogenic processes can help validate developmental theories and identify universal properties underpinning biological pattern formation, with special interest for the area of synthetic developmental biology.

Entities:  

Keywords:  developmental biology; lateral inhibition; pattern formation; synthetic biology

Year:  2021        PMID: 33449631     DOI: 10.1021/acssynbio.0c00318

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

Review 1.  Advances and challenges in programming pattern formation using living cells.

Authors:  Jia Lu; Emrah Şimşek; Anita Silver; Lingchong You
Journal:  Curr Opin Chem Biol       Date:  2022-04-23       Impact factor: 8.972

2.  Ecological firewalls for synthetic biology.

Authors:  Blai Vidiella; Ricard Solé
Journal:  iScience       Date:  2022-06-23

Review 3.  Synthetic spatial patterning in bacteria: advances based on novel diffusible signals.

Authors:  Martina Oliver Huidobro; Jure Tica; Georg K A Wachter; Mark Isalan
Journal:  Microb Biotechnol       Date:  2021-11-29       Impact factor: 6.575

  3 in total

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