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Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases

Glycoside hydrolases (GHs) are greatly diverse in sequences and functions, but systematic studies of GH relationships based on structural information are lacking. Here, we report that GHs have multiple evolutionary origins and are structurally derived from 27 homologous superfamilies and 16 folds, b...

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Autores principales: Li, Dan-dan, Wang, Jin-lan, Liu, Ya, Li, Yue-zhong, Zhang, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602953/
https://www.ncbi.nlm.nih.gov/pubmed/34849197
http://dx.doi.org/10.1016/j.csbj.2021.10.039
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author Li, Dan-dan
Wang, Jin-lan
Liu, Ya
Li, Yue-zhong
Zhang, Zheng
author_facet Li, Dan-dan
Wang, Jin-lan
Liu, Ya
Li, Yue-zhong
Zhang, Zheng
author_sort Li, Dan-dan
collection PubMed
description Glycoside hydrolases (GHs) are greatly diverse in sequences and functions, but systematic studies of GH relationships based on structural information are lacking. Here, we report that GHs have multiple evolutionary origins and are structurally derived from 27 homologous superfamilies and 16 folds, but GHs are highly biased to distribute in a few superfamilies and folds. Six of these superfamilies are widely encoded by archaea, bacteria, and eukaryotes, indicating that they may be the most ancient in origin. Most superfamilies vary in enzyme function, and some, such as the superfamilies of (β/α)(8)-barrel and (α/α)(6)-barrel structures, exhibit extreme functional diversity; this is highly positively correlated with sequence diversity. More than one-third of glycosidase activities show a phenomenon of convergent evolution, especially the degradation functions of GHs on polysaccharides. The GHs of most superfamilies have relatively narrow environmental distributions, normally with the highest abundance in host-associated environments and a distribution preference for moderate low-temperature and acidic environments. Overall, our expanded analysis facilitates an understanding of complex GH sequence–structure–function relationships and may guide our screening and engineering of GHs.
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spelling pubmed-86029532021-11-29 Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases Li, Dan-dan Wang, Jin-lan Liu, Ya Li, Yue-zhong Zhang, Zheng Comput Struct Biotechnol J Research Article Glycoside hydrolases (GHs) are greatly diverse in sequences and functions, but systematic studies of GH relationships based on structural information are lacking. Here, we report that GHs have multiple evolutionary origins and are structurally derived from 27 homologous superfamilies and 16 folds, but GHs are highly biased to distribute in a few superfamilies and folds. Six of these superfamilies are widely encoded by archaea, bacteria, and eukaryotes, indicating that they may be the most ancient in origin. Most superfamilies vary in enzyme function, and some, such as the superfamilies of (β/α)(8)-barrel and (α/α)(6)-barrel structures, exhibit extreme functional diversity; this is highly positively correlated with sequence diversity. More than one-third of glycosidase activities show a phenomenon of convergent evolution, especially the degradation functions of GHs on polysaccharides. The GHs of most superfamilies have relatively narrow environmental distributions, normally with the highest abundance in host-associated environments and a distribution preference for moderate low-temperature and acidic environments. Overall, our expanded analysis facilitates an understanding of complex GH sequence–structure–function relationships and may guide our screening and engineering of GHs. Research Network of Computational and Structural Biotechnology 2021-11-02 /pmc/articles/PMC8602953/ /pubmed/34849197 http://dx.doi.org/10.1016/j.csbj.2021.10.039 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Li, Dan-dan
Wang, Jin-lan
Liu, Ya
Li, Yue-zhong
Zhang, Zheng
Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title_full Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title_fullStr Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title_full_unstemmed Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title_short Expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
title_sort expanded analyses of the functional correlations within structural classifications of glycoside hydrolases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602953/
https://www.ncbi.nlm.nih.gov/pubmed/34849197
http://dx.doi.org/10.1016/j.csbj.2021.10.039
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