Literature DB >> 29458680

Colony analysis and deep learning uncover 5-hydroxyindole as an inhibitor of gliding motility and iridescence in Cellulophaga lytica.

Maylis Chapelais-Baron1, Isabelle Goubet1, Renaud Péteri2, Maria de Fatima Pereira1,3, Tâm Mignot4, Apolline Jabveneau1, Eric Rosenfeld1.   

Abstract

Iridescence is an original type of colouration that is relatively widespread in nature but has been either incompletely described or entirely neglected in prokaryotes. Recently, we reported a brilliant 'pointillistic' iridescence in agar-grown colony biofilms of Cellulophaga lytica and some other marine Flavobacteria that exhibit gliding motility. Bacterial iridescence is created by a unique self-organization of sub-communities of cells, but the mechanisms underlying such living photonic crystals are unknown. In this study, we used Petri dish assays to screen a large panel of potential activators or inhibitors of C. lytica's iridescence. Derivatives potentially interfering with quorum-sensing and other communication or biofilm formation processes were tested, as well as metabolic poisons or algal exoproducts. We identified an indole derivative, 5-hydroxyindole (5HI, 250 µM) which inhibited both gliding and iridescence at the colonial level. 5HI did not affect growth or cell respiration. At the microscopic level, phase-contrast imaging confirmed that 5HI inhibits the gliding motility of cells. Moreover, the lack of iridescence correlated with a perturbation of self-organization of the cell sub-communities in both the WT and a gliding-negative mutant. This effect was proved using recent advances in machine learning (deep neuronal networks). In addition to its effect on colony biofilms, 5HI was found to stimulate biofilm formation in microplates. Our data are compatible with possible roles of 5HI or marine analogues in the eco-biology of iridescent bacteria.

Entities:  

Keywords:  5-hydroxyindole; Cellulophaga lytica; cell-to-cell communication; colony biofilm; deep learning; gliding motility; indoles; iridescence; machine learning; marine Flavobacteria; self-organization

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Substances:

Year:  2018        PMID: 29458680     DOI: 10.1099/mic.0.000617

Source DB:  PubMed          Journal:  Microbiology        ISSN: 1350-0872            Impact factor:   2.777


  3 in total

1.  Polysaccharide metabolism regulates structural colour in bacterial colonies.

Authors:  Gea T van de Kerkhof; Lukas Schertel; Laura Catòn; Thomas G Parton; Karin H Müller; Heather F Greer; Colin J Ingham; Silvia Vignolini
Journal:  J R Soc Interface       Date:  2022-05-25       Impact factor: 4.293

2.  Deep learning predicts microbial interactions from self-organized spatiotemporal patterns.

Authors:  Joon-Yong Lee; Natalie C Sadler; Robert G Egbert; Christopher R Anderton; Kirsten S Hofmockel; Janet K Jansson; Hyun-Seob Song
Journal:  Comput Struct Biotechnol J       Date:  2020-05-29       Impact factor: 7.271

3.  Transposon mutagenesis in Mycobacterium kansasii links a small RNA gene to colony morphology and biofilm formation and identifies 9,885 intragenic insertions that do not compromise colony outgrowth.

Authors:  William C Budell; Gabrielle A Germain; Niklas Janisch; Zaid McKie-Krisberg; Anitha D Jayaprakash; Andrew E Resnick; Luis E N Quadri
Journal:  Microbiologyopen       Date:  2020-02-21       Impact factor: 3.139

  3 in total

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