To determine which microorganisms are active within soil communities, the researchers coupled bioorthogonal non-canonical amino acid tagging — known as BONCAT — with fluorescence-activated cell sorting. BONCAT is a powerful tool for tracking protein synthesis on the level of single cells within communities and whole organisms, while fluorescence-activated cell sorting sorts cells based on whether they are producing new proteins.
The researchers combined these processes with shotgun metagenomic sequencing, which allowed them to comprehensively sample all genes in all organisms present in biocrust samples. They applied this method to profile the diversity and potential functional capabilities of both active and inactive microorganisms in a biocrust community after being resuscitated by a simulated rain event. The researchers found that their novel approach can discern active and inactive microorganisms in wetted biocrusts.
The active and inactive components of the biocrust community differed in species richness and composition at both four hours and 21 hours after the wetting event, the researchers reported.
Contributing to the research were Marc Van Goethem, Lawrence Berkeley National Laboratory, and King Abdullah University of Science and Technology, Jeddah, Saudi Arabia; Danielle Goudeau, Nandita Nath, Trent Northen and Rex Malmstrom, Lawrence Berkeley National Laboratory, U.S. Department of Energy Joint Genome Institute.
The U.S. Department of Energy supported this research.