scholarly journals The Pervasive Effects of an Antibiotic on the Human Gut Microbiota, as Revealed by Deep 16S rRNA Sequencing

PLoS Biology ◽  
2008 ◽  
Vol 6 (11) ◽  
pp. e280 ◽  
Author(s):  
Les Dethlefsen ◽  
Sue Huse ◽  
Mitchell L Sogin ◽  
David A Relman
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
16S Rrna Sequencing ◽  
Human Gut ◽  
Human Gut Microbiota ◽  
Rrna Sequencing

scholarly journals Antibiotic-Induced Dysbiosis of Microbiota Promotes Chicken Lipogenesis by Altering Metabolomics in the Cecum

Metabolites ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 487
Author(s):  
Tao Zhang ◽  
Hao Ding ◽  
Lan Chen ◽  
Yueyue Lin ◽  
Yongshuang Gong ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
High Performance ◽  
Fat Deposition ◽  
16S Rrna Sequencing ◽  
Oral Antibiotics ◽  
Ms Analysis ◽  
Rrna Sequencing ◽  
Cecal Microbiota ◽  
Metabolite Network

Elucidation of the mechanism of lipogenesis and fat deposition is essential for controlling excessive fat deposition in chicken. Studies have shown that gut microbiota plays an important role in regulating host lipogenesis and lipid metabolism. However, the function of gut microbiota in the lipogenesis of chicken and their relevant mechanisms are poorly understood. In the present study, the gut microbiota of chicken was depleted by oral antibiotics. Changes in cecal microbiota and metabolomics were detected by 16S rRNA sequencing and ultra-high performance liquid chromatography coupled with MS/MS (UHPLC–MS/MS) analysis. The correlation between antibiotic-induced dysbiosis of gut microbiota and metabolites and lipogenesis were analysed. We found that oral antibiotics significantly promoted the lipogenesis of chicken. 16S rRNA sequencing indicated that oral antibiotics significantly reduced the diversity and richness and caused dysbiosis of gut microbiota. Specifically, the abundance of Proteobacteria was increased considerably while the abundances of Bacteroidetes and Firmicutes were significantly decreased. At the genus level, the abundances of genera Escherichia-Shigella and Klebsiella were significantly increased while the abundances of 12 genera were significantly decreased, including Bacteroides. UHPLC-MS/MS analysis showed that antibiotic-induced dysbiosis of gut microbiota significantly altered cecal metabolomics and caused declines in abundance of 799 metabolites and increases in abundance of 945 metabolites. Microbiota-metabolite network revealed significant correlations between 4 differential phyla and 244 differential metabolites as well as 15 differential genera and 304 differential metabolites. Three metabolites of l-glutamic acid, pantothenate acid and N-acetyl-l-aspartic acid were identified as potential metabolites that link gut microbiota and lipogenesis in chicken. In conclusion, our results showed that antibiotic-induced dysbiosis of gut microbiota promotes lipogenesis of chicken by altering relevant metabolomics. The efforts in this study laid a basis for further study of the mechanisms that gut microbiota regulates lipogenesis and fat deposition of chicken.

scholarly journals Functional heterogeneity in the fermentation capabilities of the healthy human gut microbiota

2020 ◽  
Author(s):  
Thomas Gurry ◽  
Le Thanh Tu Nguyen ◽  
Xiaoqian Yu ◽  
Eric J Alm
Keyword(s):  
Gut Microbiota ◽  
Therapeutic Strategy ◽  
Ex Vivo ◽  
Short Chain Fatty Acids ◽  
Human Gut ◽  
Healthy Human ◽  
Human Gut Microbiota ◽  
Functional Differences ◽  
Rrna Sequencing

AbstractThe human gut microbiota is known for its highly heterogeneous composition across different individuals. However, relatively little is known about functional differences in its ability to ferment complex polysaccharides. Through ex vivo measurements from healthy human donors, we show that individuals vary markedly in their microbial metabolic phenotypes (MMPs), mirroring differences in their microbiota composition, and resulting in the production of different quantities and proportions of Short Chain Fatty Acids (SCFAs) from the same inputs. We also show that aspects of these MMPs can be predicted from composition using 16S rRNA sequencing. From experiments performed using the same dietary fibers in vivo, we demonstrate that an ingested bolus of fiber is almost entirely consumed by the microbiota upon passage. We leverage our ex vivo data to construct a model of SCFA production and absorption in vivo, and argue that inter-individual differences in quantities of absorbed SCFA are directly related to differences in production. Taken together, these data suggest that personalized dietary fiber supplementation based on an individual’s MMP is an attractive therapeutic strategy for treating diseases associated with SCFA production.

scholarly journals LogMPIE, pan-India profiling of the human gut microbiome using 16S rRNA sequencing

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Ashok Kumar Dubey ◽  
Niyati Uppadhyaya ◽  
Pravin Nilawe ◽  
Neeraj Chauhan ◽  
Santosh Kumar ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiome ◽  
16S Rrna Sequencing ◽  
Human Gut ◽  
Human Gut Microbiome ◽  
Rrna Sequencing

scholarly journals Characterization of Gut Microbiota in Prenatal Cold Stress Offspring Rats by 16S rRNA Sequencing

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1619
Author(s):  
Jiasan Zheng ◽  
Tingting Zhu ◽  
Lipeng Wang ◽  
Jianfa Wang ◽  
Shuai Lian
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Cold Stress ◽  
Female Offspring ◽  
16S Rrna Sequencing ◽  
Negative Effects ◽  
Rrna Sequencing ◽  
Temperature Group ◽  
Microbial Dna

Our previous study showed a reduction of anxiety-like behavior in offspring rats suffered from prenatal cold stress; whether this was related to changes in the offspring gut microbiota is unclear. To obtain the evidence for the role of the gut microbiota in prenatal cold stress offspring, 16S rRNA sequencing technology was used. Male and female offspring rat feces were collected from a room temperature group and a prenatal cold stress group (n ≥ 8) for microbial DNA extraction, followed by 16S rRNA sequencing. The results indicated that prenatal cold stress could change the offspring’s gut microbiota composition. Prenatal cold stress significantly upregulates Lactobacillus, Lactobacillus_gasseri, Bacteroides, and Bacteroides-acidifaciens in female offspring, whereas prenatal cold stress significantly reduced Lachnospiraceae and Prevotellaceae in male offspring. These data showed the characterization of gut microbiota in prenatal cold stress offspring rats, and these data suggest that microbiological intervention in the future can potentially prevent the negative effects caused by cold stress to animals.

scholarly journals Stimulation of Codonopsis pilosula Polysaccharide on Bifidobacterium of Human Gut Bacteria In Vitro

2021 ◽  
Vol 2021 ◽  
pp. 1-4
Author(s):  
Jiankuan Li ◽  
Lina Dong ◽  
Yue Liu ◽  
Jianping Gao
Keyword(s):  
16S Rrna ◽  
Human Health ◽  
Gut Bacteria ◽  
16S Rrna Sequencing ◽  
Human Gut ◽  
In Vitro Methods ◽  
Codonopsis Pilosula ◽  
Rrna Sequencing ◽  
Stimulation Of

Objective. To evaluate the prebiotic effects of Codonopsis pilosula polysaccharide (CPP) on human gut bacteria in vitro. Methods. Codonopsis Radix was extracted with water at 100°C, and the extract was precipitated by 80% ethanol to obtain CPP. Human fresh fecal samples were collected from three healthy adults and used to ferment CPP. The fermented samples were collected to be analyzed by 16S rRNA sequencing. Results. The results showed that CPP exhibited significantly the stimulation on the growth of genus Bifidobacterium of human gut bacteria (Padj < 0.05). Although CPP also exhibited regulative trends on the genera including Acidaminococcus, Bilophila, Dorea, and Eggerthella, no significant differences were observed (Padj > 0.05), which was likely associated with the limited samples (n = 3). Conclusion. CPP has the potential to stimulate the growth of Bifidobacterium of the human gut bacteria and to be benefit to human health.

Evaluation of the nutrition and function of cow and goat milk based on intestinal microbiota by metagenomic analysis

2018 ◽  
Vol 9 (4) ◽  
pp. 2320-2327 ◽  
Author(s):  
Zhaoxia Wang ◽  
Shuaiming Jiang ◽  
Chenchen Ma ◽  
Dongxue Huo ◽  
Qiannan Peng ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
High Throughput ◽  
Goat Milk ◽  
16S Rrna Sequencing ◽  
Metagenomic Analysis ◽  
Sequencing Technology ◽  
Rrna Sequencing ◽  
And Function

A high-throughput 16S rRNA sequencing technology was applied to study changes of the intestinal microbiota in mice after the administration of cow and goat milk. We show a correlation between the gut microbiota and the nutrients in milk.

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