High Spatial Resolution Imaging Mass Spectrometry Reveals Chemical Heterogeneity Across Bacterial Microcolonies
Autor: | Daniel Polyakov, Rita de Cassia Pessotti, Matthew F. Traxler, Vineetha M. Zacharia, Bridget L. Hansen |
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Rok vydání: | 2019 |
Předmět: |
Metabolite
Streptomyces coelicolor Bacillus subtilis 010402 general chemistry Mass spectrometry 01 natural sciences Peptides Cyclic Plant Roots Mass spectrometry imaging Bacterial cell structure Analytical Chemistry chemistry.chemical_compound High spatial resolution Sample preparation biology fungi 010401 analytical chemistry food and beverages Quorum Sensing biology.organism_classification 0104 chemical sciences chemistry Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Biophysics Metabolome Protons Medicago sativa |
Zdroj: | Analytical chemistry. 91(23) |
ISSN: | 1520-6882 |
Popis: | Microbes interact with the world around them at the chemical level. However, directly examining the chemical exchange between microbes and microbes and their environment, at ecological scales, i.e., the scale of a single bacterial cell or small groups of cells, remains a key challenge. Here we address this obstacle by presenting a methodology that enables matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) of bacterial microcolonies. By combining optimized sample preparation with subatmospheric pressure MALDI, we demonstrate that chemical output from groups of as few as ∼50 cells can be visualized with MALDI-IMS. Application of this methodology to Bacillus subtilis and Streptomyces coelicolor revealed heterogeneity in chemical output across microcolonies and asymmetrical metabolite production when cells grew within physiological gradients produced by Medicago sativa roots. Taken together, these results indicate that MALDI-IMS can readily visualize metabolites made by very small assemblages of bacterial cells and that even these small groups of cells can differentially produce metabolites in response to local chemical gradients. |
Databáze: | OpenAIRE |
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