Project description:Transcriptome profiles for Clostridium thermocellum ATCC 27405 wild type strain and two ethanol-adapted strains, E50A and E50C were generated to gain insights into ethanol tolerance. Details of the strains have been described, Shao X., et al. Appl Microbiol Biotechnol (2011) 92:641–652.
Project description:Purpose: The purpose of this study is to clarify the response of Clostridium perfringens ATCC 13124 to host polysaccharide. Methods: Clostridium perfringens ATCC 13124 cells were cultured anaerobically in a medium containing Minimal medium-like condition Poor + medium, medium in which hyaluronic acid or mucin was added to Poor + medium. Total RNA was extracted from bacterial cells by the Hot-Phenol method. Samples for RNA-seq were prepared according to the Illmina protocol available from the manufacturer. Array leads passed through quality filters were analyzed at the transcript isoform level using bowtie v 1.1.2. Results: Using the optimized data analysis workflow, we mapped about 50 million sequence leads per sample to the whole genome of Clostridium perfringens ATCC 13124. In addition, 2735 transcripts in C. perfringens ATCC 13124 were identified using a Bowtie aligner. Lead counts per genome were extracted from known gene annotations using the HTSeq program.
Project description:Determine overall gene expression profiles; RNA expression observed in stationary relative to exponential phase cells of strain Clostridum thermocellum (ATCC 27405) grown on cellobiose; Comparative RNA expression of 3 Clostridium thermocellu strains (DSM 1237, 2650, and 4150) grown to mid exponential phase on cellobiose; Verify whether observed differences in fermentation end-product ratios are reflected in differences in RNA expression profiles. RNA-seq data will be compared with the same experiments performed with proteomic experiments; Compare gene expression across relative strains.
Project description:Clostridium botulinum ATCC 3502 was grown in continuous culture at 39°C, subjected to heat shock at 45°C, and then continuously grown at 45°C. The goal was to determine the impact of stressful temperature to the whole genome expression profile and identify stress adaptation mechanisms.
Project description:Lee2008 - Genome-scale metabolic network of
Clostridium acetobutylicum (iJL432)
This model is described in the article:
Genome-scale reconstruction
and in silico analysis of the Clostridium acetobutylicum ATCC
824 metabolic network.
Lee J, Yun H, Feist AM, Palsson
BØ, Lee SY.
Appl. Microbiol. Biotechnol. 2008 Oct;
80(5): 849-862
Abstract:
To understand the metabolic characteristics of Clostridium
acetobutylicum and to examine the potential for enhanced
butanol production, we reconstructed the genome-scale metabolic
network from its annotated genomic sequence and analyzed
strategies to improve its butanol production. The generated
reconstructed network consists of 502 reactions and 479
metabolites and was used as the basis for an in silico model
that could compute metabolic and growth performance for
comparison with fermentation data. The in silico model
successfully predicted metabolic fluxes during the acidogenic
phase using classical flux balance analysis. Nonlinear
programming was used to predict metabolic fluxes during the
solventogenic phase. In addition, essential genes were
predicted via single gene deletion studies. This genome-scale
in silico metabolic model of C. acetobutylicum should be useful
for genome-wide metabolic analysis as well as strain
development for improving production of biochemicals, including
butanol.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180030.
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To the extent possible under law, all copyright and related or
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Project description:Transcriptomic analysis was applied to acidogenic, solventogenic and alcohologenic steady-state C. acetobutylicum cells for understanding the regulation of the metabolism of this organism. Used microarray is Clostridium acetobutylicum ATCC824 transcriptional 44k v4, correspondance to GPL10908 Phosphate-limited continuous cultures of C. acetobutylicum were performed under acidogenesis (pH 6.3, 995 mM of carbon from glucose), solventogenesis (pH 4.4, 995 mM of carbon from glucose) and alcohologenesis (pH 6.3, 498 mM of carbon from glucose and 498 mM of carbon from glycerol). Samples were collected for three biological replicates from one control strain and three metabolic mutants, respectively. Total RNA of 36 samples was extracted using an RNeasy Midi kit (Qiagen, Courtaboeuf, France) following the manufacturer's instructions with the supplementation of DNase treatment using RNase-Free DNase Set (Qiagen). Agilent microarray for Clostridium acetobutylicum ATCC 824 (4x44K AMADID 024247) was used. The RNAs were labeled with a Low Input Quick Amp Labeling kit and hybridized following a one-color microarray-based gene expression analysis protocol.
