Open AccessReal‐time monitoring of fungal growth and morphogenesis at single‐cell resolution
Author(s) -
Grünberger Alexander,
Schöler Katja,
Probst Christopher,
Kornfeld Georg,
Hardiman Timo,
Wiechert Wolfgang,
Kohlheyer Dietrich,
Noack Stephan
Publication year - 2017
Publication title -
engineering in life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 57
eISSN - 1618-2863
pISSN - 1618-0240
DOI - 10.1002/elsc.201600083
Subject(s) - morphogenesis , resolution (logic) , microbiology and biotechnology , biology , real time computing , computer science , biological system , artificial intelligence , genetics , gene
Development times for efficient large‐scale production, utilizing fungal species, are still very long. This is mainly due to the poor knowledge of many important variables related to fungal growth and morphogenesis. We specifically addressed this knowledge gap by combining a microfluidic cultivation device with time‐lapse live cell imaging. This combination facilitates (i) studying population heterogeneity at single‐cell resolution, (ii) monitoring of fungal morphogenesis in a high spatiotemporal manner under defined environmental conditions, and (iii) parallelization of experiments for statistical data analysis. Our analysis of Penicillium chrysogenum , the workhorse for antibiotic production worldwide, revealed significant heterogeneity in size, vitality and differentiation times between spore, mycelium and pellets when cultivated under industrially relevant conditions. For example, the swelling rate of single spores in complex medium ( μ = 0.077 ± 0.036h − 1) and the formation rate of higher branched mycelia in defined glucose medium ( μ = 0.046 ± 0.031h − 1) were estimated from broad time‐dependent cell size distributions, which in turn were derived from computational image analysis of 257 and 49 time‐lapse series, respectively. In order to speed up the development of new fungal production processes, a deeper understanding of these heterogeneities is required and the presented microfluidic single‐cell approach provides a solid technical foundation for such quantitative studies.