The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was performed within the Integrated Microbial Genomes – Expert Review (IMG-ER) platform [36]. Genome properties The genome kinase inhibitor Nilotinib consists of an 8,371,686 bp long circular chromosome and three plasmids of 164,019 bp, 143,757 bp and 92,189 bp length, respectively, with a G+C content of 47.1% (Table 3 and Figure 3). Of the 6,918 genes predicted, 6,858 were protein-coding genes, and 60 RNAs; 106 pseudogenes were also identified. The majority of the protein-coding genes (58.6%) were assigned with a putative function while the remaining ones were annotated as hypothetical proteins.

The distribution of genes into COGs functional categories is presented in Table 4. Table 3 Genome Statistics Figure 3 Graphical circular map of the chromosome (plasmid maps not shown). From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), … Table 4 Number of genes associated with the general COG functional categories Acknowledgements We would like to gratefully acknowledge the help of Anja Fr��hling (DSMZ) for growing H. hydrossis cultures. This work was performed under the auspices of the US Department of Energy Office of Science, Biological and Environmental Research Program, and by the University of California, Lawrence Berkeley National Laboratory under contract No.

DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344, and Los Alamos National Laboratory under contract No. DE-AC02-06NA25396, UT-Battelle and Oak Ridge National Laboratory under contract DE-AC05-00OR22725, as well as German Research Foundation (DFG) INST 599/1-1.
A representative genomic 16S rRNA sequence of H. praevalens was compared using NCBI AV-951 BLAST under default values (e.g., considering only the best 250 hits) with the most recent release of the Greengenes database [13] and the relative frequencies, weighted by BLAST scores, of taxa and keywords (reduced to their stem [14]) were determined. The five most frequent genera were Halanaerobium (81.9%), Halothermothrix (7.8%), Halanaerobacter (2.7%), Acetohalobium (2.3%) and Natroniella (1.9%). Regarding hits to sequences from other members of the genus, the average identity within HSPs (high-scoring segment pairs) was 97.8%, whereas the average coverage by HSPs was 96.3%. The species yielding the highest score was Halanaerobium saccharolyticum.