期刊
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
卷 20, 期 -, 页码 5466-5476出版社
ELSEVIER
DOI: 10.1016/j.csbj.2022.09.040
关键词
Fungi; Bacteria; Protista; Glycome; Carbohydrate; Glycan; Diversity; CSDB
资金
- Russian Science Foundation
- [18-14-00098-P]
This paper presents a systematic statistical analysis of the fungal glycome compared to prokaryotic and protistal glycomes. It assesses the composition, modifications, linkages, sizes, branching degree, and net charge of glycans. The obtained information can help identify carbohydrate molecular markers for different fungal classes, aid in the development of diagnostic tools and carbohydrate-based vaccines against pathogenic fungi, and reveal specific glycosyltransferases active in particular fungal species.
In this paper, we present the results of a systematic statistical analysis of the fungal glycome in compar-ison with the prokaryotic and protistal glycomes as described in the scientific literature and presented in the Carbohydrate Structure Database (CSDB). The monomeric and dimeric compositions of glycans, their non-carbohydrate modifications, glycosidic linkages, sizes of structures, branching degree and net charge are assessed. The obtained information can help elucidating carbohydrate molecular markers for various fungal classes which, in its turn, can be demanded for the development of diagnostic tools and carbohydrate-based vaccines against pathogenic fungi. It can also be useful for revealing specific glyco-syltransferases active in a particular fungal species.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
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