title: Comparative Genomics of Core Metabolism Genes of Cellulolytic and Non-cellulolytic Clostridium Species.
abstract: Microbial production of fuels such as ethanol, butanol, hydrogen (H2), and methane (CH4) from waste biomass has the potential to provide sustainable energy systems that can displace fossil fuel consumption. Screening for microbial diversity and genome sequencing of a wide-range of microorganisms can identify organisms with natural abilities to synthesize these alternative fuels and/or other biotechnological applications. Clostridium species are the most widely studied strict anaerobes capable of fermentative synthesis of ethanol, butanol, or hydrogen directly from waste biomass. Clostridium termitidis CT1112 is a mesophilic, cellulolytic species capable of direct cellulose fermentation to ethanol and organic acids, with concomitant synthesis of H2and CO2. On the basis of 16S ribosomal RNA (rRNA) and chaperonin 60 (cpn60) gene sequence data, phylogenetic analyses revealed a close relationship between C. termitidis and C. cellobioparum. Comparative bioinformatic analyses of the C. termitidis genome with 18 cellulolytic and 10 non-cellulolytic Clostridium species confirmed this relationship, and further revealed that the majority of core metabolic pathway genes in C. termitidis and C. cellobioparum share more than 90% amino acid sequence identity. The gene loci and corresponding amino acid sequences of the encoded enzymes for each pathway were correlated by percentage identity, higher score (better alignment), and lowest e-value (most significant "hit"). In addition, the function of each enzyme was proposed by conserved domain analysis. In this chapter we discuss the comparative analysis of metabolic pathways involved in synthesis of various useful products by cellulolytic and non-cellulolytic biofuel and solvent producing Clostridium species. This study has generated valuable information concerning the core metabolism genes and pathways of C. termitidis CT1112, which is helpful in developing metabolic engineering strategies to enhance its natural capacity for better industrial applications.
authors.affiliation: Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6.
authors.forename: Sadhana
authors.initials: S
authors.lastname: Lal
authors.affiliation: Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB, Canada, R3T 5V6. david.levin@umanitoba.ca.
authors.forename: David B
authors.initials: DB
authors.lastname: Levin
mesh_terms: D001421:Bacteria, Anaerobic / Q000145:classification / Q000235:genetics; D001426:Bacterial Proteins / Q000235:genetics*; D056804:Biofuels / Q000382:microbiology*; D002482:Cellulose; D002874:Chromosome Mapping; D003013:Clostridium / Q000145:classification* / Q000235:genetics*; D004734:Energy Metabolism / Q000235:genetics; D015964:Gene Expression Regulation, Bacterial / Q000235:genetics*; D016680:Genome, Bacterial / Q000235:genetics*; D015398:Signal Transduction / Q000235:genetics; D013045:Species Specificity
chemical_list: D001426:Bacterial Proteins; D056804:Biofuels; D002482:Cellulose
keywords: Biomass; CAZymes; Cellulolytic bacteria; Cellulosomes; Genetic manipulation