ArticleJournal of fungi (Basel, Switzerland)2022
Functional Classification and Characterization of the Fungal Glycoside Hydrolase 28 Protein Family.
Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Genome-Wide Characterization of thePlants (Basel, Switzerland) · 2026Article
- Systematic Identification of the GH28 Gene Family in the Pathogenic FungusJournal of fungi (Basel, Switzerland) · 2026Article
- Tetraopes Milkweed Beetle Genomes Elucidate the Adaptive Basis of a Temperate Coevolutionary Radiation.Molecular ecology resources · 2026Article
- Profiling the Genomes and Secreted Effector Proteins inJournal of fungi (Basel, Switzerland) · 2025Article
- Seqrutinator: scrutiny of large protein superfamily sequence datasets for the identification and elimination of non-functional homologues.Genome biology · 2024Article
- Structural and functional insights from the sequences and complex domain architecture of adhesin-like proteins fromFrontiers in microbiology · 2024Article
- Fungal pectinases: an insight into production, innovations and applications.World journal of microbiology & biotechnology · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Pectin is a major constituent of the plant cell wall, comprising compounds with important industrial applications such as homogalacturonan, rhamnogalacturonan and xylogalacturonan. A large array of enzymes is involved in the degradation of this amorphous substrate. The Glycoside Hydrolase 28 (GH28) family includes polygalacturonases (PG), rhamnogalacturonases (RG) and xylogalacturonases (XG) that share a structure of three to four pleated β-sheets that form a rod with the catalytic site amidst a long, narrow groove. Although these enzymes have been studied for many years, there has been no systematic analysis. We have collected a comprehensive set of GH28 encoding sequences to study their evolution in fungi, directed at obtaining a functional classification, as well as at the identification of substrate specificity as functional constraint. Computational tools such as Alphafold, Consurf and MEME were used to identify the subfamilies' characteristics. A hierarchic classification defines the major classes of endoPG, endoRG and endoXG as well as three exoPG classes. Ascomycete endoPGs are further classified in two subclasses whereas we identify four exoRG subclasses. Diversification towards exomode is explained by loops that appear inserted in a number of turns. Substrate-driven diversification can be identified by various specificity determining positions that appear to surround the binding groove.
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Registered trials
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