Ultra-High Throughput Screening of Synthetic Microbial Communities in Agriculture and Human Health | AIChE

Ultra-High Throughput Screening of Synthetic Microbial Communities in Agriculture and Human Health

Authors 

Kehe, J. - Presenter, Massachusetts Institute of Technology
Ackerman, C. M. - Presenter, Broad Institute
Cervantes, B., Massachusetts Institute of Technology
Kulesa, A., Broad Institute of Harvard and MIT
Blainey, P. C., Massachusetts Institute of Technology
To harness the power of beneficial microbial communities in biotechnology, agriculture, and medicine, a deeper understanding of the assembly rules governing microbial communities is needed. Empirical screening of synthetic microbial consortia can systematically explore interspecies interactions and environmental dependencies; however, assembling many combinations of microbes for such screening is logistically complex and difficult to achieve on a timescale commensurate with microbial growth. The kChip is a droplets-based platform that performs rapid, massively parallel, bottom-up construction and screening of synthetic microbial communities. Here, we present a screen of ~100,000 multispecies communities comprising up to 19 soil isolates in which we identified consortia that promote the growth of the model plant symbiont Herbaspirillum frisingense in a manner robust to carbon source variation and the presence of additional species. Furthermore, we explore the use of kChip for screening microbial consortia constructed from human microbiome isolates.