Metasecretome-selective phage display approach for mining the functional potential of a rumen microbial community.

ABSTRACT:

Background

In silico, secretome proteins can be predicted from completely sequenced genomes using various available algorithms that identify membrane-targeting sequences. For metasecretome (collection of surface, secreted and transmembrane proteins from environmental microbial communities) this approach is impractical, considering that the metasecretome open reading frames (ORFs) comprise only 10% to 30% of total metagenome, and are poorly represented in the dataset due to overall low coverage of metagenomic gene pool, even in large-scale projects.

Results

By combining secretome-selective phage display and next-generation sequencing, we focused the sequence analysis of complex rumen microbial community on the metasecretome component of the metagenome. This approach achieved

SUBMITTER: Ciric M 

PROVIDER: S-EPMC4035507 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature