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Characterization of Bacillus subtilis Colony Biofilms via Mass Spectrometry and Fluorescence Imaging

[Image: see text] Colony biofilms of Bacillus subtilis are a widely used model for studying cellular differentiation. Here, we applied matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to examine cellular and molecular heterogeneity in B. subtilis colony biofilms. F...

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Detalles Bibliográficos
Autores principales: Si, Tong, Li, Bin, Zhang, Ke, Xu, Yiran, Zhao, Huimin, Sweedler, Jonathan V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895246/
https://www.ncbi.nlm.nih.gov/pubmed/27136705
http://dx.doi.org/10.1021/acs.jproteome.6b00127
Descripción
Sumario:[Image: see text] Colony biofilms of Bacillus subtilis are a widely used model for studying cellular differentiation. Here, we applied matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to examine cellular and molecular heterogeneity in B. subtilis colony biofilms. From B. subtilis cells cultivated on a biofilm-promoting medium, we detected two cannibalistic factors not found in previous MALDI MSI studies of the same strain under different culturing conditions. Given the importance of cannibalism in matrix formation of B. subtilis biofilms, we employed a transcriptional reporter to monitor matrix-producing cell subpopulations using fluorescence imaging. These two complementary imaging approaches were used to characterize three B. subtilis strains, the wild type isolate NCIB3610, and two mutants, Δspo0A and ΔabrB, with defective and enhanced biofilm phenotypes, respectively. Upon deletion of key transcriptional factors, correlated changes were observed in biofilm morphology, signaling, cannibalistic factor distribution, and matrix-related gene expression, providing new insights on cannibalism in biofilm development. This work underscores the advantages of using multimodal imaging to compare spatial patterns of selected molecules with the associated protein expression patterns, obtaining information on cellular heterogeneity and function not obtainable when using a single method to characterize biofilm formation.