Determination of the Molecular Architecture and Temporal Dynamics that Drive Microbial Lignocellulose Degradation
EMSL Project ID
60381
Abstract
In order to link phenotypic outcomes to molecular determinants, we have developed an integrated functional profiling platform, PhenoProfiling, that pairs activity-based probes (ABPs) with fluorescence-activated cell sorting (FACS) to capture microbes based on function, enabling downstream kinetic, multi-omics, and computational analyses on functionally-enriched communities. While traditional activity based protein profiling (ABPP) interrogates individual proteins, PhenoProfiling identifies individual microbes within a community expressing phenotypes of interest. Through PhenoProfiling, we are able to isolate and analyze the subpopulations of microbes within a lignocellulose-degrading microbial community that are responsible for particular hydrolytic functions necessary to degrade lignocellulose. We plan to map genotype to phenotype through multi-omics analyses of these functionally enriched communities. Additionally, kinetic assays are used to track specific lignocellulolytic activity levels of the isolated subpopulations, which, when integrated with temporal multi-omics analyses using a biology-informed, data-driven model, will generate invaluable information to aid in the development of rationally-engineered communities.
Project Details
Project type
Large-Scale EMSL Research
Start Date
2022-10-01
End Date
N/A
Status
Active
Released Data Link
Team
Principal Investigator
Co-Investigator(s)