Abstract
A genomic DNA-based microarray was constructed containing over 6000 randomly cloned genomic fragments of approximately 1-2 kb from six mammalian intestinal Bifidobacterium spp. including B. adolescentis, B. animalis, B. bifidum, B. catenulatum, B. longum and B. pseudolongum. This Bifidobacterium Mixed-Species (BMS) microarray was used to differentiate between type strains and isolates belonging to a set of nine Bifidobacterium spp. Hierarchical clustering of genomic hybridization data confirmed the grouping of the Bifidobacterium spp. according to the 16S rRNA-based phylogenetic clusters. In addition, these genomic hybridization experiments revealed high homology between the type-strain B. animalis subsp. lactis LMG18314 and B. animalis subsp. animalis LMG10508 (79%) as well as between the type strains B. longum biotype longum LMG13197 and B. longum biotype infantis LMG8811 (72%) - nevertheless, discrimination between these species was possible due to the high resolution output of the BMS-array. In addition, it was shown that the BMS-array could be used for assigning unknown Bifidobacterium isolates to a species group. Finally, a set of 54 diagnostic clones for Bifidobacterium identification was selected and sequenced to advance the understanding of the species-related differences. Remarkably, a large fraction (31%) of these was predicted to encode proteins that belong to the bifidobacterial glycobiome and another 11% had functional homology with genes involved in the protection against foreign DNA. Overall, the BMS-microarray is a high-resolution diagnostic tool that is able to facilitate the detection of strain- and species-specific characteristics of bifidobacteria. (C) 2008 Elsevier B.V. All rights reserved.
Original language | English |
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Journal | Journal of Microbiological Methods |
Volume | 76 |
Issue number | 3 |
Pages (from-to) | 269-277 |
Number of pages | 9 |
ISSN | 0167-7012 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A1 Journal article-refereed |
Fields of Science
- 413 Veterinary science