GASdb: a large-scale and comparative exploration database of glycosyl hydrolysis systems

BMC Microbiology

Database

Huiling Chen¹  Fengfeng Zhou²  Ying Xu² 

[1] Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, 30602, Athens, GA, USA;Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, 30602, Athens, GA, USA;BioEnergy Science Center, 37831, Oak Ridge, TN, USA;

关键词: Glycosyl Hydrolase;    Clostridium Acetobutylicum;    Archaeal Genome;    DUF291 Domain;    Carbohydrate Binding Domain;   

DOI  :  10.1186/1471-2180-10-69

 received in 2009-08-04, accepted in 2010-03-04,  发布年份 2010

来源: Springer

【 摘 要 】

BackgroundThe genomes of numerous cellulolytic organisms have been recently sequenced or in the pipeline of being sequenced. Analyses of these genomes as well as the recently sequenced metagenomes in a systematic manner could possibly lead to discoveries of novel biomass-degradation systems in nature.DescriptionWe have identified 4,679 and 49,099 free acting glycosyl hydrolases with or without carbohydrate binding domains, respectively, by scanning through all the proteins in the UniProt Knowledgebase and the JGI Metagenome database. Cellulosome components were observed only in bacterial genomes, and 166 cellulosome-dependent glycosyl hydrolases were identified. We observed, from our analysis data, unexpected wide distributions of two less well-studied bacterial glycosyl hydrolysis systems in which glycosyl hydrolases may bind to the cell surface directly rather than through linking to surface anchoring proteins, or cellulosome complexes may bind to the cell surface by novel mechanisms other than the other used SLH domains. In addition, we found that animal-gut metagenomes are substantially enriched with novel glycosyl hydrolases.ConclusionsThe identified biomass degradation systems through our large-scale search are organized into an easy-to-use database GASdb at http://csbl.bmb.uga.edu/~ffzhou/GASdb/, which should be useful to both experimental and computational biofuel researchers.

【 授权许可】

Unknown   
© Zhou et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.