ArticleScientific reports2019
GeneHunt for rapid domain-specific annotation of glycoside hydrolases.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Phylogeny constrains and environment modulates glycoside hydrolase architecture.Current research in microbial sciences · 2026Article
- Strategies for GH functional annotation: toward harmonized and predictive CAZymology.Biotechnology for biofuels and bioproducts · 2026Article
- Annotation of glycoside hydrolases in unassembled metagenomes using CAZyOBioinformatics advances · 2026Article
- ez-CAZy a reference annotation database for linking glycoside hydrolase sequence to enzymatic activity.Scientific reports · 2025Article
- Harnessing extremophilic carboxylesterases for applications in polyester depolymerisation and plastic waste recycling.Essays in biochemistry · 2023Article
- The supragenic organization of glycoside hydrolase encoding genes reveals distinct strategies for carbohydrate utilization in bacteria.Frontiers in microbiology · 2023Article
- Use of a Novel Extremophilic Xylanase for an Environmentally Friendly Industrial Bleaching of Kraft Pulps.International journal of molecular sciences · 2022Article
- ORFograph: search for novel insecticidal protein genes in genomic and metagenomic assembly graphs.Microbiome · 2021Article
- Combined whole cell wall analysis and streamlined in silico carbohydrate-active enzyme discovery to improve biocatalytic conversion of agricultural crop residues.Biotechnology for biofuels · 2021Review
- In silico screening and experimental analysis of family GH11 xylanases for applications under conditions of alkaline pH and high temperature.Biotechnology for biofuels · 2020Article
- Harnessing the sponge microbiome for industrial biocatalysts.Applied microbiology and biotechnology · 2020Review
- MetaGeneHunt for protein domain annotation in short-read metagenomes.Scientific reports · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
The identification of glycoside hydrolases (GHs) for efficient polysaccharide deconstruction is essential for the development of biofuels. Here, we investigate the potential of sequential HMM-profile identification for the rapid and precise identification of the multi-domain architecture of GHs from various datasets. First, as a validation, we successfully reannotated >98% of the biochemically characterized enzymes listed on the CAZy database. Next, we analyzed the 43 million non-redundant sequences from the M5nr data and identified 322,068 unique GHs. Finally, we searched 129 assembled metagenomes retrieved from MG-RAST for environmental GHs and identified 160,790 additional enzymes. Although most identified sequences corresponded to single domain enzymes, many contained several domains, including known accessory domains and some domains never identified in association with GH. Several sequences displayed multiple catalytic domains and few of these potential multi-activity proteins combined potentially synergistic domains. Finally, we produced and confirmed the biochemical activities of a GH5-GH10 cellulase-xylanase and a GH11-CE4 xylanase-esterase. Globally, this "gene to enzyme pipeline" provides a rationale for mining large datasets in order to identify new catalysts combining unique properties for the efficient deconstruction of polysaccharides.
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