Engineering synthetic spatial patterns in microbial populations and communities.

Détails

Ressource 1Télécharger: Barbier2022.pdf (2824.39 [Ko])
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_1E95F9FE260E
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Engineering synthetic spatial patterns in microbial populations and communities.
Périodique
Current opinion in microbiology
Auteur⸱e⸱s
Barbier I., Kusumawardhani H., Schaerli Y.
ISSN
1879-0364 (Electronic)
ISSN-L
1369-5274
Statut éditorial
Publié
Date de publication
21/04/2022
Peer-reviewed
Oui
Volume
67
Pages
102149
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: aheadofprint
Résumé
Spatial pattern formation is an important feature of almost all biological systems. Thanks to the advances in synthetic biology, we can engineer microbial populations and communities to display sophisticated spatial patterns. This bottom-up approach can be used to elucidate the general principles underlying pattern formation. Moreover, it is of interest for a plethora of applications, from the production of novel living materials to medical diagnostics. In this short review, we comment on the recent experimental advances in engineering the spatial patterns formed by microbes. We classify the synthetic patterns based on the input signals provided and the biological processes deployed. We highlight some applications of microbial pattern formation and discuss the challenges and potential future directions.
Pubmed
Web of science
Open Access
Oui
Création de la notice
02/05/2022 14:46
Dernière modification de la notice
27/05/2022 6:36
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