Comparative genomics of Lactobacillus sakei with emphasis on strains from meat.

Lactobacillus sakei is a lactic acid bacterium important in food microbiology mainly due to its ability to ferment and preserve meat. The genome sequence of L. sakei strain 23K has revealed specialized metabolic capacities that reflect the bacterium's adaption to meat products, and that differentiate it from other LAB.

Diversity of Lactobacillus sakei strains investigated by phenotypic and genotypic methods.

The diversity of 10 strains of Lactobacillus sakei, a commercially important species of lactobacilli, was characterized by studying food isolates. Growth characteristics varied among the strains when examined after growth in a complex medium and a defined medium with either glucose or ribose. A commercial starter culture strain showed the fastest growth rates and high biomass formation on all media, while two of the strains hardly grew on ribose.

Mixture models as a method to find present and divergent genes in comparative genomic hybridization studies on bacteria.

Comparative genomic hybridization (CGH) using microarrays is performed on bacteria in order to test for genomic diversity within various bacterial species. The microarrays used for CGH are based on the genome of a fully sequenced bacterium strain, denoted reference strain. Labelled DNA fragments from a sample strain of interest and from the reference strain are hybridized to the array.

Survey of genomic diversity among Enterococcus faecalis strains by microarray-based comparative genomic hybridization.

We have compared nine Enterococcus faecalis strains with E. faecalis V583 by comparative genomic hybridization using microarrays (CGH). The strains used in this study (the "test" strains) originated from various environments.

Detection of divergent genes in microbial aCGH experiments.

Background: Array-based comparative genome hybridization (aCGH) is a tool for rapid comparison of genomes from different bacterial strains. The purpose of such analysis is to detect highly divergent or absent genes in a sample strain compared to an index strain. Development of methods for analyzing aCGH data has primarily focused on copy number abberations in cancer research.