| Literature DB >> 33067195 |
Abstract
Improved sequencing technologies and the maturation of metagenomic approaches allow the identification of gene variants with potential industrial applications, including cellulases. Cellulase identification from metagenomic environmental surveys is complicated by inconsistent nomenclature and multiple categorization systems. Here, we summarize the current classification and nomenclature systems, with recommendations for improvements to these systems. Addressing the issues described will strengthen the annotation of cellulose-active enzymes from environmental sequence data sets-a rapidly growing resource in environmental and applied microbiology.Entities:
Keywords: CAZy; Pfam; annotation; cellulase; cellulose; classification; high-throughput sequencing; metagenomics; microbial ecology
Mesh:
Substances:
Year: 2020 PMID: 33067195 PMCID: PMC7755236 DOI: 10.1128/AEM.01928-20
Source DB: PubMed Journal: Appl Environ Microbiol ISSN: 0099-2240 Impact factor: 4.792