scholarly journals Mouse Vendor Influence on the Bacterial and Viral Gut Composition Exceeds the Effect of Diet

Viruses ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 435 ◽  
Author(s):  
Torben Sølbeck Rasmussen ◽  
Liv de Vries ◽  
Witold Kot ◽  
Lars Hestbjerg Hansen ◽  
Josué L. Castro-Mejía ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
High Fat Diet ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Mouse Strains ◽  
Rrna Gene ◽  
High Fat ◽  
Low Fat Diet ◽  
Viral Community ◽  
Rrna Gene Sequencing

Often physiological studies using mice from one vendor show different outcome when being reproduced using mice from another vendor. These divergent phenotypes between similar mouse strains from different vendors have been assigned to differences in the gut microbiome. During recent years, evidence has mounted that the gut viral community plays a key role in shaping the gut microbiome and may thus also influence mouse phenotype. However, to date inter-vendor variation in the murine gut virome has not been studied. Using a metavirome approach, combined with 16S rRNA gene sequencing, we here compare the composition of the viral and bacterial gut community of C57BL/6N mice from three different vendors exposed to either a chow-based low-fat diet or high-fat diet. Interestingly, both the bacterial and the viral component of the gut community differed significantly between vendors. The different diets also strongly influenced both the viral and bacterial gut community, but surprisingly the effect of vendor exceeded the effect of diet. In conclusion, the vendor effect is substantial not only on the gut bacterial community but also strongly influences viral community composition. Given the effect of GM on mice phenotype, this is essential to consider for increasing reproducibility of mouse studies.

scholarly journals Mouse vendor influence on the bacterial and viral gut composition exceeds the effect of diet

2019 ◽  
Author(s):  
Torben Sølbeck Rasmussen ◽  
Liv de Vries ◽  
Witold Kot ◽  
Lars Hestbjerg Hansen ◽  
Josué L. Castro-Mejía ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
High Fat Diet ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Mouse Strains ◽  
Rrna Gene ◽  
High Fat ◽  
Low Fat Diet ◽  
Viral Community ◽  
Rrna Gene Sequencing

AbstractOften physiological studiess using mice from one vendor show different outcome when being reproduced using mice from another vendor. These divergent phenotypes between similar mouse strains from different vendors have been assigned to differences in the gut microbiome. During recent years, evidence has mounted that the gut viral community plays a key role in shaping the gut microbiome and may thus also influence mouse phenotype. However, to date inter-vendor variation in the murine gut virome has not been studied. Using a metavirome approach, combined with 16S rRNA gene sequencing, we here compare the composition of the viral and bacterial gut community of C57BL/6N mice from three different vendors exposed to either a chow-based low-fat diet or high-fat diet. Interestingly, both the bacterial and the viral component of the gut community differed significantly between vendors. The different diets also strongly influenced both the viral and bacterial gut community, but surprisingly the effect of vendor exceeded the effect of diet. In conclusion, the vendor effect is substantial on not only the gut bacterial community, but also strongly influences viral community composition. Given the effect of GM on mice phenotype this is essential to consider, for increasing reproducibility of mouse studies.

scholarly journals Allobaculum Involves in the Modulation of Intestinal ANGPTLT4 Expression in Mice Treated by High-Fat Diet

2021 ◽  
Vol 8 ◽  
Author(s):  
Zibin Zheng ◽  
Wentao Lyu ◽  
Ying Ren ◽  
Xiaoqiong Li ◽  
Shenjun Zhao ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
16S Rrna Gene ◽  
High Fat Diet ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
High Fat ◽  
Alcoholic Fatty Liver ◽  
Rrna Gene Sequencing

Increasing studies have shown that obesity is the primary cause of cardiovascular diseases, non-alcoholic fatty liver diseases, type 2 diabetes, and a variety of cancers. The dysfunction of gut microbiota was proved to result in obesity. Recent research indicated ANGPTL4 was a key regulator in lipid metabolism and a circulating medium for gut microbiota and fat deposition. The present study was conducted to investigate the alteration of gut microbiota and ANGPTL4 expression in the gastrointestinal tract of mice treated by the high-fat diet. Ten C57BL/6J mice were randomly allocated to two groups and fed with a high-fat diet (HFD) containing 60% fat or a normal-fat diet (Control) containing 10% fat. The segments of ileum and colon were collected for the determination of ANGPTL4 expression by RT-qPCR and immunohistochemical analysis while the ileal and colonic contents were collected for 16S rRNA gene sequencing. The results showed HFD significantly increased mice body weight, epididymal fat weight, perirenal fat weight, liver weight, and the lipid content in the liver (P < 0.05). The relative expression of ANGPTL4 and the ANGPTL4-positive cells in the ileum and colon of mice was significantly increased by HFD treatment. Furthermore, 16S rRNA gene sequencing of the ileal and colonic microbiota suggested that HFD treatment changed the composition of the gut microbiota. The ratio of Firmicutes to Bacteroidetes and the abundance of Allobaculum was significantly higher in the HFD group than in the Control group while the abundance of Adlercreutzia, Bifidobacterium, Prevotellaceae UCG-001, and Ruminococcus was significantly decreased. Interestingly, the abundance of Allobaculum was positively correlated with the expression of ANGPTL4. These findings provide a theoretical foundation for the development of strategies to control the obesity and related diseases by the regulation of ANGPTL4 and gut microbiota.

scholarly journals Correction: 16S rRNA gene sequencing and healthy reference ranges for 28 clinically relevant microbial taxa from the human gut microbiome

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212474 ◽  
Author(s):  
Daniel E. Almonacid ◽  
Laurens Kraal ◽  
Francisco J. Ossandon ◽  
Yelena V. Budovskaya ◽  
Juan Pablo Cardenas ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Reference Ranges ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Rrna Gene Sequencing

scholarly journals The Effect of Xuebijing on the Gut Microbiota and Metabolic of Heat 1 Stroke Rat 2

2021 ◽  
Author(s):  
Qiang wen ◽  
Xuan He ◽  
Yu Shao ◽  
Lun Peng ◽  
Li Zhao ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Heat Stroke ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Control Group ◽  
Rrna Gene ◽  
Metabolism Pathway ◽  
Rrna Gene Sequencing

Abstract The goal of the present study was to evaluate the fecal microbiome and serum metabolites in 16 Xuebijing (XBJ)-injected rats after heat stroke using 16S rRNA gene sequencing and gas chromatography-mass spectrometry (GC-MS) metabolomics. Eighteen rats were divided into the control group (CON), heat stroke group (HS), and XBJ group. The 16S rRNA gene sequencing results revealed that the abundance of Bacteroidetes was overrepresented in the XBJ group compared to the HS group, while Actinobacteria was underrepresented. Metabolomic profiling showed that the pyrimidine metabolism pathway, pentose phosphate pathway, and glycerophospholipid metabolism pathway were upregulated in the XBJ group compared to the HS group. Taken together, these results demonstrated that heat stroke not only altered the gut microbiome community structure of rats but also greatly affected metabolic functions, leading to gut microbiome toxicity.

scholarly journals 16S rRNA gene sequencing and healthy reference ranges for 28 clinically relevant microbial taxa from the human gut microbiome

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176555 ◽  
Author(s):  
Daniel E. Almonacid ◽  
Laurens Kraal ◽  
Francisco J. Ossandon ◽  
Yelena V. Budovskaya ◽  
Juan Pablo Cardenas ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gut Microbiome ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Reference Ranges ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Rrna Gene Sequencing

16S rRNA Gene Sequencing Reveals Altered Composition of Gut Microbiota in Postoperative Individuals With Renal Stones

2021 ◽  
Author(s):  
Qiong Deng ◽  
Zhu Wang ◽  
Jieyan Wang ◽  
Jianwen Zhang ◽  
Ying Zhang ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Eating Habits ◽  
Stone Formation ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Renal Stones ◽  
Renal Calculi ◽  
Rrna Gene ◽  
Recurrence Rates ◽  
Rrna Gene Sequencing

Abstract BackgroundRenal stones are a common urological disease with high prevalence and recurrence rates. Characterizing gut microbiome profiles of first-onset renal calculi patients, both before and after surgery, may provide valuable insights and identify potential biomarkers for the disease. MethodsWe explored the associations between the gut microbiome and renal stone formation using 16S ribosomal RNA (rRNA) gene sequencing. In brief, 20 patients were recruited, and information on health and eating habits within the previous 1-3 months was collected upon admission.ResultsA total of 493 OTUs were detected in 40 specimens, with an average of 67,888 ± 827 reads per sample. The results of OUT-based PLS-DA analysis showed significant differences between RS1 and RS2 groups, with a significantly higher level of OTU7 in the RS2 group. Taxonomy‑based comparisons of the gut microbiome showed differences in the flora composition, with the prevalence of Enterobacteriales, Enterobacteriaceae, Gammaproteobacteria, and Escherichia being higher in the RS2 group and the prevalence of Pseudomonadaceae, Pseudomonadales, and Pseudomonas being higher in the RS1 group.ConclusionsThese data strongly suggest that the gut microbiome affects kidney stone formation, and these findings may provide new insights for the prevention, diagnosis, and treatment of renal stones.

Sign in / Sign up

Export Citation Format

Share Document