Direct comparison of spatial transcriptional heterogeneity across diverse Bacillus subtilis biofilm communities
Year: 2023
Type: article
Abstract: Bacillus subtilis can form various types of spatially organised communities on surfaces, such as colonies, pellicles and submerged biofilms. These communities share similarities and differences, and phenotypic heterogeneity has been reported for each type of community. Here, we studied spatial transcriptional heterogeneity across the three types of surface-associated communities. Using RNA-seq analysis of different regions or populations for each community type, we identified genes that are specifically expressed within each selected population. We constructed fluorescent transcriptional fusions for 17 of these genes, and observed their expression in submerged biofilms using time-lapse confocal laser scanning microscopy (CLSM). We found mosaic expression patterns for some genes; in particular, we observed spatially segregated cells displaying opposite regulation of carbon metabolism genes (gapA and gapB), indicative of distinct glycolytic or gluconeogenic regimes coexisting in the same biofilm region. Overall, our study provides a direct comparison of spatial transcriptional heterogeneity, at different scales, for the three main models of B. subtilis surface-associated communities.
Source: Nature Communications
Authors: Yasmine Dergham, Dominique Le Coq, Pierre Nicolas, Elena Bidnenko, Sandra Dérozier, Maxime Deforet, Eugénie Huillet, Pilar Sanchez-Vizuete, Julien Deschamps, Kassem Hamze, Romain Briandet
Institutions: Lebanese University, AgroParisTech, Université Paris-Saclay, Microbiologie de l’alimentation au service de la santé, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre National de la Recherche Scientifique, Mathématiques et Informatique Appliquées du Génome à l'Environnement, Sorbonne Université, Laboratoire Jean Perrin, Institut de Biologie Paris-Seine
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,975
OpenAlex ID: W4388823950
