Droplet-Based Microfluidics Platform for Ultra-High-Throughput Bioprospecting of Cellulolytic Microorganisms
Discovery of microorganisms producing enzymes that can efficiently hydrolyze cellulosic biomass is of great importance for biofuel production. To date, however, only a miniscule fraction of natural biodiversity has been tested because of the relatively low throughput of screening systems and their l...
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Veröffentlicht in: | Chemistry & biology 2014-12, Vol.21 (12), p.1722-1732 |
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Sprache: | eng |
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Zusammenfassung: | Discovery of microorganisms producing enzymes that can efficiently hydrolyze cellulosic biomass is of great importance for biofuel production. To date, however, only a miniscule fraction of natural biodiversity has been tested because of the relatively low throughput of screening systems and their limitation to screening only culturable microorganisms. Here, we describe an ultra-high-throughput droplet-based microfluidic system that allowed the screening of over 100,000 cells in less than 20 min. Uncultured bacteria from a wheat stubble field were screened directly by compartmentalization of single bacteria in 20 pl droplets containing a fluorogenic cellobiohydrolase substrate. Sorting of droplets based on cellobiohydrolase activity resulted in a bacterial population with 17- and 7-fold higher cellobiohydrolase and endogluconase activity, respectively, and very different taxonomic diversity than when selected for growth on medium containing starch and carboxymethylcellulose as carbon source.
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•Droplet-based microfluidics was used for bioprospection of cellulolytic bacteria•Over 100,000 cells from a wheat stubble field were screened in less than 20 min•The enriched population exhibited high endoglucanases and exogluconase activity•Very different taxonomic diversity was found compared to growth-based selection
Najah et al. develop a microfluidic system that enables screening of 105 uncultured cellulolytic microorganisms from wheat stubble in less than 20 min and using only 20 μl of reagents. This represents a ∼240-fold increase in throughput and a ∼250,000-fold decrease in reagent volume compared to conventional systems. |
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ISSN: | 1074-5521 1879-1301 |
DOI: | 10.1016/j.chembiol.2014.10.020 |