Kasahara Keitaro, Seiffarth Johannes, Stute Birgit, von Lieres Eric, Drepper Thomas, Nöh Katharina, Kohlheyer Dietrich
IBG-1: Biotechnology, Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Computational Systems Biotechnology (AVT.CSB), RWTH Aachen University, Aachen, Germany.
Lab Chip. 2025 Apr 29;25(9):2234-2246. doi: 10.1039/d5lc00065c.
Microbial metabolism and growth are tightly linked to oxygen (O). Microbes experience fluctuating O levels in natural environments; however, our understanding of how cells respond to fluctuating O over various time scales remains limited due to challenges in observing microbial growth at single-cell resolution under controlled O conditions and in linking individual cell growth with the specific O microenvironment. We performed time-resolved microbial growth analyses at single-cell resolution under a temporally controlled O supply. A multilayer microfluidic device was developed, featuring a gas supply above a cultivation layer, separated by a thin membrane enabling efficient gas transfer. This platform allows microbial cultivation under constant, dynamic, and oscillating O conditions. Automated time-lapse microscopy and deep-learning-based image analysis provide access to spatiotemporally resolved growth data at the single-cell level. O switching within tens of seconds, coupled with precise microenvironment monitoring, allows us to accurately correlate cellular growth with local O concentrations. Growing microcolonies subjected to varying O oscillation periods show distinct growth dynamics characterized by response and recovery phases. The comprehensive growth data and insights gained from our unique platform are a crucial step forward to systematically study cell response and adaptation to fluctuating O environments at single-cell resolution.