Insight into ligand diversity and novel biological roles for family 32 carbohydrate-binding modules
- PMID: 18032406
- DOI: 10.1093/molbev/msm243
Insight into ligand diversity and novel biological roles for family 32 carbohydrate-binding modules
Abstract
Family 32 carbohydrate-binding modules (CBM32s) are found in a diverse group of microorganisms, including archea, eubacteria, and fungi. Significantly, many members of this family belong to plant and animal pathogens where they are likely to play a key role in enzyme toxin targeting and function. Indeed, ligand targets have been shown to range from insoluble plant cell wall polysaccharides to complex eukaryotic glycans. Besides a potential direct involvement in microbial pathogenesis, CBM32s also represent an important family for the study of CBM evolution due to the wide variety of complex protein architectures that they are associated with. This complexity ranges from independent lectin-like proteins through to large multimodular enzyme toxins where they can be present in multiple copies (multimodularity). Presented here is a rigorous analysis of the evolutionary relationships between available polypeptide sequences for family 32 CBMs within the carbohydrate active enzyme database. This approach is especially helpful for determining the roles of CBM32s that are present in multiple copies within an enzyme as each module tends to cluster into groups that are associated with distinct enzyme classes. For enzymes that contain multiple copies of CBM32s, however, there are differential clustering patterns as modules can either cluster together or in very distant sections of the tree. These data suggest that enzymes containing multiple copies possess complex mechanisms of ligand recognition. By applying this well-developed approach to the specific analysis of CBM relatedness, we have generated here a new platform for the prediction of CBM binding specificity and highlight significant new targets for biochemical and structural characterization.
Similar articles
-
Identifying bacterial and archaeal homologs of pentameric ligand-gated ion channel (pLGIC) family using domain-based and alignment-based approaches.Channels (Austin). 2011 Jul-Aug;5(4):325-43. doi: 10.4161/chan.5.4.16822. Channels (Austin). 2011. PMID: 21918370
-
Carbohydrate recognition by a large sialidase toxin from Clostridium perfringens.Biochemistry. 2007 Oct 9;46(40):11352-60. doi: 10.1021/bi701317g. Epub 2007 Sep 13. Biochemistry. 2007. PMID: 17850114
-
Using quaternary structures to assess the evolutionary history of proteins: the case of the aspartate carbamoyltransferase.Mol Biol Evol. 2004 Feb;21(2):364-73. doi: 10.1093/molbev/msh024. Epub 2003 Dec 5. Mol Biol Evol. 2004. PMID: 14660694
-
Carbohydrate-binding domains: multiplicity of biological roles.Appl Microbiol Biotechnol. 2010 Feb;85(5):1241-9. doi: 10.1007/s00253-009-2331-y. Epub 2009 Nov 12. Appl Microbiol Biotechnol. 2010. PMID: 19908036 Review.
-
Insights into the recognition of the human glycome by microbial carbohydrate-binding modules.Curr Opin Struct Biol. 2012 Oct;22(5):570-7. doi: 10.1016/j.sbi.2012.07.009. Epub 2012 Aug 1. Curr Opin Struct Biol. 2012. PMID: 22858095 Review.
Cited by
-
Molecular mechanisms underlying the BIRC6-mediated regulation of apoptosis and autophagy.Nat Commun. 2024 Jan 30;15(1):891. doi: 10.1038/s41467-024-45222-1. Nat Commun. 2024. PMID: 38291026 Free PMC article.
-
Expression, homology modeling and enzymatic characterization of a new β-mannanase belonging to glycoside hydrolase family 1 from Enterobacter aerogenes B19.Microb Cell Fact. 2020 Jul 14;19(1):142. doi: 10.1186/s12934-020-01399-w. Microb Cell Fact. 2020. PMID: 32665004 Free PMC article.
-
Molecular Basis of Broad Spectrum N-Glycan Specificity and Processing of Therapeutic IgG Monoclonal Antibodies by Endoglycosidase S2.ACS Cent Sci. 2019 Mar 27;5(3):524-538. doi: 10.1021/acscentsci.8b00917. Epub 2019 Feb 6. ACS Cent Sci. 2019. PMID: 30937380 Free PMC article.
-
Structural insights of two novel N-acetyl-glucosaminidase enzymes through in silico methods.Turk J Chem. 2020 Dec 16;44(6):1703-1712. doi: 10.3906/kim-2006-19. eCollection 2020. Turk J Chem. 2020. PMID: 33488263 Free PMC article.
-
Bioinformatic characterisation of genes encoding cell wall degrading enzymes in the Phytophthora parasitica genome.BMC Genomics. 2014 Sep 11;15:785. doi: 10.1186/1471-2164-15-785. BMC Genomics. 2014. PMID: 25214042 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical