Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.

In this study, metagenomics was applied to characterize the microbial community and to discover carbohydrate-active genes of an enriched thermophilic cellulose-degrading sludge. The 16S analysis showed that the sludge microbiome was dominated by genus of cellulolytic Clostridium and methanogenesis M...

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Main Authors: Yu Xia, Feng Ju, Herbert H P Fang, Tong Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3544849?pdf=render
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spelling doaj-a97ef867e48348409d3873c04a0b8cbc2020-11-25T01:46:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0181e5377910.1371/journal.pone.0053779Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.Yu XiaFeng JuHerbert H P FangTong ZhangIn this study, metagenomics was applied to characterize the microbial community and to discover carbohydrate-active genes of an enriched thermophilic cellulose-degrading sludge. The 16S analysis showed that the sludge microbiome was dominated by genus of cellulolytic Clostridium and methanogenesis Methanothermobacter. In order to retrieve genes from the metagenome, de novo assembly of the 11,930,760 Illumina 100 bp paired-end reads (totally 1.2 Gb) was carried out. 75% of all reads was utilized in the de novo assembly. 31,499 ORFs (Open Reading Frame) with an average length of 852 bp were predicted from the assembly; and 64% of these ORFs were predicted to present full-length genes. Based on the Hidden Markol Model, 253 of the predicted thermo-stable genes were identified as putatively carbohydrate-active. Among them the relative dominance of GH9 (Glycoside Hydrolase) and corresponding CBM3 (Carbohydrate Binding Module) revealed a cellulosome-based attached metabolism of polysaccharide in the thermophilic sludge. The putative carbohydrate-active genes ranged from 20% to 100% amino acid sequence identity to known proteins in NCBI nr database, with half of them showed less than 50% similarity. In addition, the coverage of the genes (in terms of ORFs) identified in the sludge were developed into three clear trends (112×, 29× and 8×) in which 85% of the high coverage trend (112×) mainly consisted of phylum of Firmicutes while 49.3% of the 29× trend was affiliated to the phylum of Chloroflexi.http://europepmc.org/articles/PMC3544849?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Yu Xia
Feng Ju
Herbert H P Fang
Tong Zhang
spellingShingle Yu Xia
Feng Ju
Herbert H P Fang
Tong Zhang
Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
PLoS ONE
author_facet Yu Xia
Feng Ju
Herbert H P Fang
Tong Zhang
author_sort Yu Xia
title Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
title_short Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
title_full Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
title_fullStr Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
title_full_unstemmed Mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
title_sort mining of novel thermo-stable cellulolytic genes from a thermophilic cellulose-degrading consortium by metagenomics.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description In this study, metagenomics was applied to characterize the microbial community and to discover carbohydrate-active genes of an enriched thermophilic cellulose-degrading sludge. The 16S analysis showed that the sludge microbiome was dominated by genus of cellulolytic Clostridium and methanogenesis Methanothermobacter. In order to retrieve genes from the metagenome, de novo assembly of the 11,930,760 Illumina 100 bp paired-end reads (totally 1.2 Gb) was carried out. 75% of all reads was utilized in the de novo assembly. 31,499 ORFs (Open Reading Frame) with an average length of 852 bp were predicted from the assembly; and 64% of these ORFs were predicted to present full-length genes. Based on the Hidden Markol Model, 253 of the predicted thermo-stable genes were identified as putatively carbohydrate-active. Among them the relative dominance of GH9 (Glycoside Hydrolase) and corresponding CBM3 (Carbohydrate Binding Module) revealed a cellulosome-based attached metabolism of polysaccharide in the thermophilic sludge. The putative carbohydrate-active genes ranged from 20% to 100% amino acid sequence identity to known proteins in NCBI nr database, with half of them showed less than 50% similarity. In addition, the coverage of the genes (in terms of ORFs) identified in the sludge were developed into three clear trends (112×, 29× and 8×) in which 85% of the high coverage trend (112×) mainly consisted of phylum of Firmicutes while 49.3% of the 29× trend was affiliated to the phylum of Chloroflexi.
url http://europepmc.org/articles/PMC3544849?pdf=render
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