Selecting high-growth/high-lipid producing microalgae from a mutant library through droplet microfluidics
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abstract
We have developed a high-throughput droplet microfluidics-based screening platform for analyzing growth and lipid production of a large number of microalgal mutants, followed by selective restoration of strains that show enhanced growth and higher lipid production. Through an on-chip lipid staining process as well as an integrated optical detection system, growth and lipid production of a single mutated cell in droplets can be quantified by measuring chlorophyll autofluorescence and BODIPY fluorescence intensities, respectively. The performance of the developed screening platform was demonstrated by examining a randomly mutated unicellular microalga Chlamydomonas reinhardtii library.