Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Jun;191(11):3760-1.
doi: 10.1128/JB.00256-09. Epub 2009 Apr 3.

Genome sequence of the anaerobic, thermophilic, and cellulolytic bacterium "Anaerocellum thermophilum" DSM 6725

Affiliations

Genome sequence of the anaerobic, thermophilic, and cellulolytic bacterium "Anaerocellum thermophilum" DSM 6725

Irina A Kataeva et al. J Bacteriol. 2009 Jun.

Abstract

"Anaerocellum thermophilum" DSM 6725 is a strictly anaerobic bacterium that grows optimally at 75 degrees C. It uses a variety of polysaccharides, including crystalline cellulose and untreated plant biomass, and has potential utility in biomass conversion. Here we report its complete genome sequence of 2.97 Mb, which is contained within one chromosome and two plasmids (of 8.3 and 3.6 kb). The genome encodes a broad set of cellulolytic enzymes, transporters, and pathways for sugar utilization and compared to those of other saccharolytic, anaerobic thermophiles is most similar to that of Caldicellulosiruptor saccharolyticus DSM 8903.

PubMed Disclaimer

References

    1. Blumer-Schuette, S. E., I. Kataeva, J. Westpheling, M. W. Adams, and R. M. Kelly. 2008. Extremely thermophilic microorganisms for biomass conversion: status and prospects. Curr. Opin. Biotechnol. 19210-217. - PubMed
    1. Clausen, A., M. J. Mikkelsen, I. Schroder, and B. K. Ahring. 2004. Cloning, sequencing, and sequence analysis of two novel plasmids from the thermophilic anaerobic bacterium Anaerocellum thermophilum. Plasmid 52131-138. - PubMed
    1. Dam, P., V. Olman, K. Harris, Z. Su, and Y. Xu. 2007. Operon prediction using both genome-specific and general genomic information. Nucleic Acids Res. 35288-298. - PMC - PubMed
    1. Ewing, B., and P. Green. 1998. Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res. 8186-194. - PubMed
    1. Ewing, B., L. Hillier, M. C. Wendl, and P. Green. 1998. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 8175-185. - PubMed

Publication types

MeSH terms

Associated data