Identification and functional analysis of novel protein-encoding sequences related to stress-resistance.

ABSTRACT: Currently, industrial bioproducts are less competitive than chemically produced goods due to the shortcomings of conventional microbial hosts. Thus, is essential developing robust bacteria for improved cell tolerance to process-specific parameters. In this context, metagenomic approaches from extreme environments can provide useful biological parts to improve bacterial robustness. Here, in order to build genetic constructs that increase bacterial resistance to diverse stress conditions, we recovered novel protein-encoding sequences related to stress-resistance from metagenomic databases using an in silico approach based on Hidden-Markov-Model profiles. For this purpose, we used metagenomic shotgun sequencing data from microbial communities of extreme environments to identify genes e

SUBMITTER: Huanca-Juarez J 

PROVIDER: S-EPMC10568318 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature