PCR/DGGE and 16S rRNA gene library analysis of the colonic microbiota of HLA-B27/beta2-microglobulin transgenic rats.
2006
Aims: To determine the phylogenetic composition of the colonic microbiota of transgenic (TG) HLA-B27 rats using 16S ribosomal RNA (rRNA) gene sequences obtained from denaturing gradient gel electrophoresis (DGGE) gels and sequences from a 16S rRNA gene library. Methods and Results: Colonic microbiota of TG and nontransgenic (NT) rats harboured by 10-week-old and 6-month-old animals was screened using PCR/ DGGE. Six months old TG rats had marked inflammation of the colon compared with 10-week-old TG and NT rats. The DGGE profiles of rats with inflamed colon were similar from rat to rat (Dice’s Similarity Coefficient proximal colon 73%, distal colon 83%) whereas profiles from animals without inflammation were dissimilar (52‐64%). Identifications of bacterial origins of 16S rRNA gene sequences obtained from DGGE gels (200 bp) and from 16S rRNA clones (450 bp) of the colonic microbiota of diseased rats gave sequences most closely phylogenetically affiliated with uncultured or unknown bacteria. Conclusions: PCR/DGGE was shown to be an effective method to compare the colonic microbiota composition of TG and NT rats relative to the progression of inflammatory disease. Sequencing of 16S rRNA gene fragments from DGGE gels or 16S rRNA gene clones from a random library showed that uncultured or unknown bacteria were most commonly detected by both methods. It can be concluded that it would be better in future studies to search for the antigens produced by the gut microbiota against which the dysfunctional immune system reacts rather than seek phylogenetic associations. Significance and Impact of the Study: PCR/DGGE can be used as a rapid initial screening method to compare the composition of bacterial communities of initially unknown composition that are associated with the development of intestinal disease.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
19
References
9
Citations
NaN
KQI