Erschienen:
American Society for Microbiology, 2020
Erschienen in:
mSphere, 5 (2020) 5
Sprache:
Englisch
DOI:
10.1128/msphere.00806-20
ISSN:
2379-5042
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>Microbial cells that live in the same community can exist in different physiological and morphological states that change as a function of spatiotemporal variations in environmental conditions. This phenomenon is commonly known as phenotypic heterogeneity and/or diversity. Measuring this plethora of cellular expressions is needed to better understand and manage microbial processes. However, most tools to study phenotypic diversity only average the behavior of the sampled community. In this work, we present a way to quantify the phenotypic diversity of microbial samples by inferring the (bio)molecular profile of its constituent cells using Raman spectroscopy. We demonstrate how this tool can be used to quantify the phenotypic diversity that arises after the exposure of microbes to stress. Raman spectroscopy holds potential for the detection of stressed cells in bioproduction.</jats:p>