Abstract:The maturation of murine cecal microbiota was determined by terminal restriction fragment polymorphism (T-RFLP) and 16S rRNA gene clone libraries. Cecal microbiota in specific pathogen free (SPF) mice aged four to 10 weeks were collected. The cluster of samples in 4-week-old mice was different from those of other ages based on T-RFLP profiles. The majority of clones obtained in this study belonged to the Clostridium coccoides (C. coccoides) group, the Bacteroides group or the Lactobacillus group. Phylogenetic … Show more
“…A detailed view into the colonisation process during mouse development highlights that microbial composition is not only influenced by genotype, but also by stage of development. Previous studies based on fingerprinting approaches found that the caecal microbiota in SPF mice changes drastically with age, but stabilises after 4 weeks 45. In our study based on 16S rRNA gene clone libraries, the microbial community continued to change after week 4b, fluctuating in the proportions of the three most abundant phyla ( Firmicutes , Bacteroidetes and Proteobacteria ; figure 1B) until 10 weeks of age, at which point stable Firmicutes -dominated communities became apparent.…”
Our results point to an essential role of Nod2 for the temporal development and composition of the host microbiota, both in mice and in humans, which may contribute to the complex role of NOD2 for the aetiopathogenesis of Crohn's disease.
“…A detailed view into the colonisation process during mouse development highlights that microbial composition is not only influenced by genotype, but also by stage of development. Previous studies based on fingerprinting approaches found that the caecal microbiota in SPF mice changes drastically with age, but stabilises after 4 weeks 45. In our study based on 16S rRNA gene clone libraries, the microbial community continued to change after week 4b, fluctuating in the proportions of the three most abundant phyla ( Firmicutes , Bacteroidetes and Proteobacteria ; figure 1B) until 10 weeks of age, at which point stable Firmicutes -dominated communities became apparent.…”
Our results point to an essential role of Nod2 for the temporal development and composition of the host microbiota, both in mice and in humans, which may contribute to the complex role of NOD2 for the aetiopathogenesis of Crohn's disease.
“…Sequencing of 2 primary targets within bacterial 16S rRNA genes yielded valuable compositional data pertaining to the human fecal microbiome of 242 healthy adults ( 6, 7 ) . In the Human Microbiome Project, 18 different body sites were sampled and sequenced.…”
Section: The Human Gut Microbiome: the Toolkit Behind The Sciencementioning
confidence: 99%
“…Previously published studies demonstrated the variation in composition of the gut microbiome among locations within the gastrointestinal tract in different mammalian species. For example, 16S rRNA gene sequencing has been deployed to study the maturation of murine cecal microbiota, and these studies demonstrated the existence of a large number of yet-unidentified bacteria that inhabit the mammalian intestine ( 6 ) . Such sequencing strategies, which are culture independent, are essential for determining bacterial composition of the microbiome and its relative stability and diversity over time.…”
Section: The Human Gut Microbiome: the Toolkit Behind The Sciencementioning
BACKGROUND
Obesity, metabolic syndrome, and type 2 diabetes are major public health challenges. Recently, interest has surged regarding the possible role of the intestinal microbiota as potential novel contributors to the increased prevalence of these 3 disorders.
CONTENT
Recent advances in microbial DNA sequencing technologies have resulted in the widespread application of whole-genome sequencing technologies for metagenomic DNA analysis of complex ecosystems such as the human gut. Current evidence suggests that the gut microbiota affect nutrient acquisition, energy harvest, and a myriad of host metabolic pathways.
CONCLUSION
Advances in the Human Microbiome Project and human metagenomics research will lead the way toward a greater understanding of the importance and role of the gut microbiome in metabolic disorders such as obesity, metabolic syndrome, and diabetes.
“…Polymerase chain reaction (PCR) amplification was performed as described by Kibe et al [21]. Two pairs of primers were used: 27f (5 0 -AGAGTTTGATCCTGGCT-CAG-3 0 ) and 1492r (5 0 -GGTTACCTTGTTACGACTT-3 0 ) as the universal primer, and 27f and Lab-677r (5 0 -CAC-CGCTACACATGGAG-3 0 ) as the specific primer set for lactic acid bacteria (LAB) designed by Heilig et al [22].…”
Elemental diet (ED) has been used as an enteral nutritional therapy for Crohn's disease. However, the precise mechanisms of ED remain unclear. In interleukin-10 (IL-10)-deficient cell-transferred mice, we investigated the change of intestinal microbiota with ED using molecular terminal-restriction fragment length polymorphism (T-RFLP) analysis and culture method, and evaluated its influence on therapeutic effects of ED. ED significantly suppressed intestinal inflammation. The total amount of bacteria in colitis mice fed the regular diet was higher than in normal mice but decreased in colitis mice fed ED. T-RFLP profiles of the ED group markedly differed from those of the regular diet groups. The diversity of bacterial species in the ED group decreased to 60% of that found in the regular diet groups. Among the cultivated bacteria, the change in lactic acid bacteria composition was remarkable. Lactobacillus reuteri and L. johnsonii decreased and Enterococcus faecalis and E. durans increased in the ED group. The culture supernatant of L. reuteri isolates induced significant tumor necrosis factor-alpha (TNF-alpha) and IL-6 activity in RAW 264 cells, while the culture supernatant of E. faecalis and E. durans barely induced their activity. These data suggested that reduction in amount and diversity of intestinal microbiota and decrease of proinflammatory cytokines via a change in composition of lactic acid bacteria by ED seem to contribute to reduction of bowel inflammation in this model.
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