Mining metagenomic data for novel domains: BACON, a new carbohydrate-binding module

被引:35
|
作者
Mello, Luciane V. [1 ]
Chen, Xin [1 ]
Rigden, Daniel J. [1 ]
机构
[1] Univ Liverpool, Sch Biol Sci, Liverpool L69 7ZB, Merseyside, England
关键词
Protein domain; Metagenomics; Carbohydrate-binding; Gut bacteria; Bacteriodetes; MULTIPLE SEQUENCE ALIGNMENT; INTESTINAL MUCIN; SIGNAL PEPTIDES; PROTEIN; PREDICTION; MICROBIOME; MUTUALISM; FAMILIES; FEATURES; LIBRARY;
D O I
10.1016/j.febslet.2010.04.045
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Third-generation sequencing has given new impetus to protein sequence database growth, revealing new domains. Description and analysis of these is required to further improve the coverage and utility of domain databases. A novel domain, here named BACON, was discovered from analysis of metagenomic data obtained from gut bacteria. Domain architectures unambiguously link its function to carbohydrate metabolism but a further strong connection to protease domains suggests that many BACON domains bind glycoproteins. Conserved residues in the BACON domain are also characteristic of carbohydrate binding while its biased phyletic distribution and other data suggest mucin as a potential specific target. (C) 2010 Federation of European Biochemical Societies. Published by Elsevier B. V. All rights reserved.
引用
收藏
页码:2421 / 2426
页数:6
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