Computational and Structural Biotechnology Journal (Jan 2021)

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

  • Dan-dan Li,
  • Jin-lan Wang,
  • Ya Liu,
  • Yue-zhong Li,
  • Zheng Zhang

Journal volume & issue
Vol. 19
pp. 5931 – 5942

Abstract

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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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