Only one of these was similar to one of the five potential toxin/

Only one of these was similar to one of the five potential toxin/antitoxin AZD1480 mw pairs of G. sulfurreducens. Both the CRISPR1 and CRISPR2 (clustered regularly interspaced short palindromic repeat) loci of G. sulfurreducens, thought to encode 181 short RNAs that may provide immunity against infection by unidentified phage and plasmids [121, 122], have no parallel in G. metallireducens,

which has CRISPR3 (also found in G. uraniireducens) instead, encoding only twelve putative short RNAs of more variable length and unknown target specificity (Additional file 18: Table S11). Another difference in RNA-level regulation is that a single-stranded RNA-specific nuclease of the barnase family (Gmet_2616) and its putative cognate inhibitor of the barstar family (Gmet_2617) are present in G. metallireducens but not G. sulfurreducens. Several conserved nucleotide sequences were identified by comparison of intergenic regions between the G. sulfurreducens and G. metallireducens find more genomes, and those that are found in multiple copies (Additional file 19: Figure

S8, Additional file 5: Table S4) may give rise to short RNAs with various regulatory or catalytic activities. Conclusion Inspection of the G. metallireducens genome indicates that this species has many metabolic capabilities not present in G. sulfurreducens, particularly with respect to the metabolism of organic acids. Many biosynthetic pathways and regulatory features are conserved,

but several putative global regulator-binding sites are unique to G. metallireducens. The complement of signalling proteins is significantly different between the two genomes. Thus, the genome of G. metallireducens provides valuable information about conserved and variable aspects of metabolism, physiology and genetics of the Geobacteraceae. Compound C mouse Methods Sequence analysis and annotation The genome DOK2 of G. metallireducens GS-15 [31] was sequenced by the Joint Genome Institute from cosmid and fosmid libraries. Two gene modeling programs – Critica (v1.05), and Glimmer (v2.13) – were run on both replicons [GenBank:NC007517, GenBank:NC007515], using default settings that permit overlapping genes and using ATG, GTG, and TTG as potential starts. The results were combined, and a BLASTP search of the translations vs. Genbank’s non-redundant database (NR) was conducted. The alignment of the N-terminus of each gene model vs. the best NR match was used to pick a preferred gene model. If no BLAST match was returned, the longest model was retained. Gene models that overlapped by greater than 10% of their length were flagged for revision or deletion, giving preference to genes with a BLAST match. The revised gene/protein set was searched against the Swiss-Prot/TrEMBL, PRIAM, Pfam, TIGRFam, Interpro, KEGG, and COGs databases, in addition to BLASTP vs. NR. From these results, product assignments were made.

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