scholarly journals Impact of Body Mass Index (BMI) on the Effect of a Lactobacillus Rhamnosus GG (LGG)/Bifidobacterium Animalis Subspecies Lactis BB-12 (BB-12) Combination on Gut Microbiota (P20-023-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Debra Poutsiaka ◽  
Lori Stern ◽  
Virginia Riquelme ◽  
Emily Hollister ◽  
Julia Cope ◽  
...  
Keyword(s):  
Community Structure ◽  
Gut Microbiota ◽  
Lactobacillus Rhamnosus ◽  
Detailed Examination ◽  
Global Changes ◽  
Shotgun Metagenomics ◽  
Gene Abundance ◽  
Funding Sources ◽  
And Function ◽  
Relative Gene

Abstract Objectives This exploratory study builds upon an earlier study of probiotic supplementation1 to assess the effects of a probiotic combination (P) of LGG and BB-12 on human gut microbiota composition and function, and to uncover an association with BMI. Methods Healthy subjects ingested P for 21 days (n = 18, P group) or did not (n = 7, C group). Fecal samples obtained at baseline (D_0) and after 21 days of supplementation (D_21) underwent 16S ribosomal RNA gene and shotgun metagenomics sequencing to characterize the bacterial and archaeal communities to the genus/species level and identify functional community genes. Results Following P ingestion, no global differences in microbiota community structure or relative gene abundance were detected. In targeted analyses, the abundances of LGG and BB-12 in the P group at D_21 increased in a statistically significant manner as the BMI decreased (Spearman correlation, P = 0.04 and P = 0.01, respectively). The relative abundance of LGG but not BB-12 appeared increased in P subjects at D_21 with BMI < 25 compared to BMI > 25 (P = 0.09). P group subjects with BMI < 25 demonstrated trends toward or statistically significant increases in the relative abundances of 5 genes involved with flagellar structure (KEGG orthologs K02422, P = 0.04; K03406, P = 0.06; K02407, P = 0.08; K02397, P = 0.08; K02396, P = 0.09) at D_21 compared to those with BMI > 25. No such differences were observed for the C group nor were there differences in relative gene abundance at D_0 in the P group with BMI < 25 vs BMI > 25. Conclusions We observed no global changes in the fecal microbial community structure or function with P ingestion in this sample of healthy persons. However, we did observe patterns suggestive of a potential link between BMI and the response of the gut microbiota to P. Although our results are based on a small number of subjects, they are in line with previous findings related to LGG supplementation and the expression of flagellar genes2. We agree with other recent reports that future studies would benefit from a detailed examination of the transcriptome, proteome and/or metabolome to better understand the potential impact of probiotics on the gut microbiota, and the mechanism of the effect of BMI. Funding Sources Pfizer Inc.

scholarly journals Diversity and Function of Wolf Spider Gut Microbiota Revealed by Shotgun Metagenomics

2021 ◽  
Vol 12 ◽  
Author(s):  
Runbiao Wu ◽  
Luyu Wang ◽  
Jianping Xie ◽  
Zhisheng Zhang
Keyword(s):  
Gut Microbiota ◽  
Wolf Spider ◽  
Metagenomic Sequencing ◽  
Wolf Spiders ◽  
Shotgun Metagenomics ◽  
Microbial Genomes ◽  
Shotgun Metagenomic Sequencing ◽  
Crucial Component ◽  
Genes Encoding ◽  
And Function

Wolf spiders (Lycosidae) are crucial component of integrated pest management programs and the characteristics of their gut microbiota are known to play important roles in improving fitness and survival of the host. However, there are only few studies of the gut microbiota among closely related species of wolf spider. Whether wolf spiders gut microbiota vary with habitats remains unknown. Here, we used shotgun metagenomic sequencing to compare the gut microbiota of two wolf spider species, Pardosa agraria and P. laura from farmland and woodland ecosystems, respectively. The results show that the gut microbiota of Pardosa spiders is similar in richness and abundance. Approximately 27.3% of the gut microbiota of P. agraria comprises Proteobacteria, and approximately 34.5% of the gut microbiota of P. laura comprises Firmicutes. We assembled microbial genomes and found that the gut microbiota of P. laura are enriched in genes for carbohydrate metabolism. In contrast, those of P. agraria showed a higher proportion of genes encoding acetyltransferase, an enzyme involved in resistance to antibiotics. We reconstructed three high-quality and species-level microbial genomes: Vulcaniibacterium thermophilum, Anoxybacillus flavithermus and an unknown bacterium belonging to the family Simkaniaceae. Our results contribute to an understanding of the diversity and function of gut microbiota in closely related spiders.

scholarly journals Farnesoid X Receptor Signaling Shapes the Gut Microbiota and Controls Hepatic Lipid Metabolism

mSystems ◽  
2016 ◽  
Vol 1 (5) ◽  
Author(s):  
Limin Zhang ◽  
Cen Xie ◽  
Robert G. Nichols ◽  
Siu H. J. Chan ◽  
Changtao Jiang ◽  
...  
Keyword(s):  
Community Structure ◽  
Gut Microbiota ◽  
Bile Salt ◽  
Structure And Function ◽  
Farnesoid X Receptor ◽  
Bile Salt Hydrolase ◽  
Metabolic Models ◽  
And Function ◽  
Genome Scale ◽  
Bile Salt Hydrolase Activity

ABSTRACT The farnesoid X receptor (FXR) plays an important role in mediating the dialog between the host and gut microbiota, particularly through modulation of enterohepatic circulation of bile acids. Mounting evidence suggests that genetic ablation of Fxr in the gut or gut-restricted chemical antagonism of the FXR promotes beneficial health effects, including the prevention of nonalcoholic fatty liver disease in rodent models. However, questions remain unanswered, including whether modulation of FXR activity plays a role in shaping the gut microbiota community structure and function and what metabolic pathways of the gut microbiota contribute in an FXR-dependent manner to the host phenotype. In this report, new insights are gained into the metabolic contribution of the gut microbiota to the metabolic phenotypes, including establishing a link between FXR antagonism, bacterial bile salt hydrolase activity, and fermentation. Multiple approaches, including unique mouse models as well as metabolomics and genome-scale metabolic models, were employed to confirm these results. The gut microbiota modulates obesity and associated metabolic phenotypes in part through intestinal farnesoid X receptor (FXR) signaling. Glycine-β-muricholic acid (Gly-MCA), an intestinal FXR antagonist, has been reported to prevent or reverse high-fat diet (HFD)-induced and genetic obesity, insulin resistance, and fatty liver; however, the mechanism by which these phenotypes are improved is not fully understood. The current study investigated the influence of FXR activity on the gut microbiota community structure and function and its impact on hepatic lipid metabolism. Predictions about the metabolic contribution of the gut microbiota to the host were made using 16S rRNA-based PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states), then validated using 1H nuclear magnetic resonance-based metabolomics, and results were summarized by using genome-scale metabolic models. Oral Gly-MCA administration altered the gut microbial community structure, notably reducing the ratio of Firmicutes to Bacteroidetes and its PICRUSt-predicted metabolic function, including reduced production of short-chain fatty acids (substrates for hepatic gluconeogenesis and de novo lipogenesis) in the ceca of HFD-fed mice. Metabolic improvement was intestinal FXR dependent, as revealed by the lack of changes in HFD-fed intestine-specific Fxr-null (Fxr ΔIE) mice treated with Gly-MCA. Integrative analyses based on genome-scale metabolic models demonstrated an important link between Lactobacillus and Clostridia bile salt hydrolase activity and bacterial fermentation. Hepatic metabolite levels after Gly-MCA treatment correlated with altered levels of gut bacterial species. In conclusion, modulation of the gut microbiota by inhibition of intestinal FXR signaling alters host liver lipid metabolism and improves obesity-related metabolic dysfunction. IMPORTANCE The farnesoid X receptor (FXR) plays an important role in mediating the dialog between the host and gut microbiota, particularly through modulation of enterohepatic circulation of bile acids. Mounting evidence suggests that genetic ablation of Fxr in the gut or gut-restricted chemical antagonism of the FXR promotes beneficial health effects, including the prevention of nonalcoholic fatty liver disease in rodent models. However, questions remain unanswered, including whether modulation of FXR activity plays a role in shaping the gut microbiota community structure and function and what metabolic pathways of the gut microbiota contribute in an FXR-dependent manner to the host phenotype. In this report, new insights are gained into the metabolic contribution of the gut microbiota to the metabolic phenotypes, including establishing a link between FXR antagonism, bacterial bile salt hydrolase activity, and fermentation. Multiple approaches, including unique mouse models as well as metabolomics and genome-scale metabolic models, were employed to confirm these results.

scholarly journals Shotgun metagenomics reveals significant gut microbiome features in different grades of acute pancreatitis

2020 ◽  
Author(s):  
Shanshan Yu ◽  
Yangyang Xiong ◽  
Yangyang Fu ◽  
Guorong Chen ◽  
Huadong Zhu ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Gut Microbiota ◽  
Severe Acute Pancreatitis ◽  
Gut Microbiome ◽  
Glutathione Metabolism ◽  
Shotgun Metagenomics ◽  
Microbiome Composition ◽  
Considerable Morbidity ◽  
Mild Acute Pancreatitis ◽  
And Function

Abstract Background: Acute pancreatitis (AP) has a broad spectrum of severity and is associated with considerable morbidity and mortality. We aimed to evaluate the composition and functional effects of gut microbiota in different grades of AP severity. Results: Gut microbiota in AP patients was characterized by decreased species richness. The most representative gut microbiota in mild acute pancreatitis (MAP), moderately severe acute pancreatitis (MSAP), and severe acute pancreatitis (SAP) was Streptococcus, Escherichia-coli, and Enterococcus, respectively. Each of the three AP-associated genera could differentiate AP from healthy control population. Representative pathways associated with the glutathione metabolism, lipopolysaccharide biosynthesis, and amino acid metabolism (valine, leucine and isoleucine degradation) were enriched in MAP, MSAP, and SAP, respectively. Conclusions: Our findings indicate that in patients with AP, the gut microbiome composition and function are correlated with different severity of AP from a whole-genome perspective, and new changes are observed.

scholarly journals Antibiotic-induced rat gut microbiota dysbiosis and salmonella resistance

2021 ◽  
Vol 2 (4/S) ◽  
pp. 93-100
Author(s):  
Begzod Shokirov ◽  
Yulduz Halimova
Keyword(s):  
Gut Microbiota ◽  
Digestive Tract ◽  
Antibiotic Treatment ◽  
Pathogenic Bacteria ◽  
Size Structure ◽  
Lactobacillus Rhamnosus ◽  
Repeated Use ◽  
And Function ◽  
Rat Gut ◽  
Gut Microbiota Dysbiosis

Antibiotics are the most common medicines used to treat human infectious diseases. Based on their chemical structure, antibiotics mainly include the following categories: quinolones, β-lactams, macrolides, and aminoglycosides among others. The mechanism of different antibiotics varies, and there are four main mechanisms: inhibition of bacterial cell wall synthesis, interaction with cell membranes, interference with protein synthesis, and inhibition of nucleic acid replication and transcription. Antibiotics can act on pathogenic bacteria. Accordingly, antibiotics can also affect normal bacteria that colonize the human body. The size, structure, and function of the microbiota may change in response to antibiotic treatment. Significant changes in the human gut microbiota may be associated with repeated use of antibiotics [3]; in the following days, these changes were restored. However, little is known about comparing the response of the gut microbiota to antibiotic treatment. Probiotics are beneficial to the host when administered in adequate amounts. Lactobacillus rhamnosus was one of the most common probiotics studied by scientists regarding its culture, function, and metabolism [10]. However, the effect of L. rhamnosus present in the gut microbiota on the host's susceptibility to pathogenic bacteria after taking antibiotics has rarely been discussed. In our current study, rats were given two types of antibiotics, namely vancomycin and ampicillin, and their oral and intestinal microbiota was observed at 3 time points.  The rats were treated with antibiotics or L. rhamnosus, and then infected with Salmonella entericaserovarTyphimurium (S. Typhimurium ) via a gastric tube. Fecal samples were then collected to determine the pathogenic load. Ampicillin and vancomycin act in different antimicrobial spectra and have different absorption in the digestive tract. In addition, the concentration of these antibiotics entering the digestive tract varies; these factors can affect the host microbiota. Thus, this study aimed to compare the effects of these antibiotics on the gut microbiota at normal doses, as well as to evaluate the differences in the results. The gut microbiota underwent dramatic changes during the administration period. Changes in the gut microbiota affected the host's susceptibility to pathogens when infected with bacteria due to changes in resistance to colonization.

scholarly journals Fine carbohydrate structure governs the structure and function of human gut microbiota independently of variation in glycosyl residue composition

2021 ◽  
Author(s):  
Arianna D. Romero Marcia ◽  
Tianming Yao ◽  
Ming-Hsu Chen ◽  
Renee E. Oles ◽  
Stephen R. Lindemann
Keyword(s):  
Community Structure ◽  
Gut Microbiota ◽  
Structure And Function ◽  
Carbohydrate Structure ◽  
Sugar Composition ◽  
Human Gut ◽  
And Function ◽  
The Impact ◽  
Residue Composition

AbstractIncreased dietary fiber consumption has been shown to increase human gut microbial diversity, but the mechanisms driving this effect remain unclear. One possible explanation is that microbes are able to divide metabolic labor in consumption of complex carbohydrates, which are composed of diverse glycosidic linkages that require specific cognate enzymes for degradation. However, as naturally derived fibers vary in both sugar composition and linkage structure, it is challenging to separate out the impact of each of these variables. We hypothesized that fine differences in carbohydrate linkage structure would govern microbial community structure and function independently of variation in glycosyl residue composition. To test this hypothesis, we fermented commercially available soluble resistant glucans, which are uniformly composed of glucose linked in different structural arrangements, in vitro with fecal inocula from each of three individuals. We measured metabolic outputs (pH, gas, and short-chain fatty acid production) and community structure via 16S rRNA amplicon sequencing. We determined that community metabolic outputs from identical glucans were highly individual, emerging from divergent initial microbiome structures. However, specific operational taxonomic units responded similarly in growth responses across individuals’ microbiota, though in context-dependent ways; these data suggested that certain taxa were more efficient in competing for some structures than others. Together, these data support the hypothesis that variation in linkage structure, independent of sugar composition, governs compositional and functional responses of microbiota.ImportancePrevious studies have reported how physical and chemical structures of carbohydrates influence the gut microbiota, however, variability across dietary fibers in monosaccharide composition and linkage structure obscures the relationship between fine polysaccharide linkage structure and microbial fitness. Revealing connections between subtle differences in glucan structure and microbial composition and metabolic responses, this study suggests much greater attention to substrate structure in the design of experiments to test fiber-microbiome responses in vitro and in vivo. Further, it underscores that, although microbiome responses to distinct fibers are individual and vary among specific glucans, similar carbohydrate structure-microbe relationships occur across individual donor communities. Together, these data may help explain why some individuals may respond (while others do not) to fiber treatments in human feeding trials and support the long-term goal of rational inclusion of specific fibers in dietary patterns to modulate the gut microbiome in support of health.

scholarly journals The lung–gut axis during viral respiratory infections: the impact of gut dysbiosis on secondary disease outcomes

2021 ◽  
Author(s):  
Valentin Sencio ◽  
Marina Gomes Machado ◽  
François Trottein
Keyword(s):  
Gut Microbiota ◽  
Bacterial Infections ◽  
Respiratory Infections ◽  
Critical Role ◽  
Good Health ◽  
Disease Outcomes ◽  
And Function ◽  
Viral Respiratory Infections ◽  
The Impact ◽  
Viral Respiratory

AbstractBacteria that colonize the human gastrointestinal tract are essential for good health. The gut microbiota has a critical role in pulmonary immunity and host’s defense against viral respiratory infections. The gut microbiota’s composition and function can be profoundly affected in many disease settings, including acute infections, and these changes can aggravate the severity of the disease. Here, we discuss mechanisms by which the gut microbiota arms the lung to control viral respiratory infections. We summarize the impact of viral respiratory infections on the gut microbiota and discuss the potential mechanisms leading to alterations of gut microbiota’s composition and functions. We also discuss the effects of gut microbial imbalance on disease outcomes, including gastrointestinal disorders and secondary bacterial infections. Lastly, we discuss the potential role of the lung–gut axis in coronavirus disease 2019.

scholarly journals Comparative Analysis of Fecal Microbiota of Grazing Mongolian Cattle from Different Regions in Inner Mongolia, China

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1938
Author(s):  
Han Aricha ◽  
Huasai Simujide ◽  
Chunjie Wang ◽  
Jian Zhang ◽  
Wenting Lv ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Gut Microbiota ◽  
Inner Mongolia ◽  
Alpha Diversity ◽  
Fecal Microbiota ◽  
Composition Analysis ◽  
Geographical Factors ◽  
Rrna Sequencing ◽  
Xilingol Grassland

Mongolian cattle from China have strong adaptability and disease resistance. We aimed to compare the gut microbiota community structure and diversity in grazing Mongolian cattle from different regions in Inner Mongolia and to elucidate the influence of geographical factors on the intestinal microbial community structure. We used high throughput 16S rRNA sequencing to analyze the fecal microbial community and diversity in samples from 60 grazing Mongolian cattle from Hulunbuir Grassland, Xilingol Grassland, and Alxa Desert. A total of 2,720,545 high-quality reads and sequences that were 1,117,505,301 bp long were obtained. Alpha diversity among the three groups showed that the gut microbial diversity in Mongolian cattle in the grasslands was significantly higher than that in the desert. The dominant phyla were Firmicutes and Bacteroidetes, whereas Verrucomicrobia presented the highest abundance in the gut of cattle in the Alxa Desert. The gut bacterial communities in cattle from the grasslands versus the Alxa Desert were distinctive, and those from the grasslands were closely clustered. Community composition analysis revealed significant differences in species diversity and richness. Overall, the composition of the gut microbiota in Mongolian cattle is affected by geographical factors. Gut microbiota may play important roles in the geographical adaptations of Mongolian cattle.

scholarly journals Higher Sensitivity of Soil Microbial Network Than Community Structure under Acid Rain

2021 ◽  
Vol 9 (1) ◽  
pp. 118
Author(s):  
Ziqiang Liu ◽  
Hui Wei ◽  
Jiaen Zhang ◽  
Muhammad Saleem ◽  
Yanan He ◽  
...  
Keyword(s):  
Community Structure ◽  
Acid Rain ◽  
Natural Soil ◽  
Available Phosphorus ◽  
Global Changes ◽  
N2o Emissions ◽  
Ammonia Oxidizing Bacteria ◽  
Soil Core ◽  
N Cycle ◽  
Microbial Network

Acid rain (AR), as a global environmental threat, has profoundly adverse effects on natural soil ecosystems. Microorganisms involved in the nitrogen (N) cycle regulate the global N balance and climate stabilization, but little is known whether and how AR influences the structure and complexity of these microbial communities. Herein, we conducted an intact soil core experiment by manipulating the acidity of simulated rain (pH 7.5 (control, CK) vs. pH 4.0 (AR)) in subtropical agricultural soil, to reveal the differences in the structure and complexity of soil nitrifying and denitrifying microbiota using Illumina amplicon sequencing of functional genes (amoA, nirS, and nosZ). Networks of ammonia-oxidizing archaea (AOA) and nirS-carrying denitrifiers in AR treatment were less complex with fewer nodes and lower connectivity, while network of nosZ-carrying denitrifiers in AR treatment had higher complexity and connectivity relative to CK. Supporting this, AR reduced the abundance of keystone taxa in networks of AOA and nirS-carrying denitrifiers, but increased the abundance of keystone taxa in nosZ-carrying denitrifiers network. However, AR did not alter the community structure of AOA, ammonia-oxidizing bacteria (AOB), nirS-, and nosZ-carrying denitrifiers. Moreover, AR did not change soil N2O emissions during the experimental period. AOB community structure significantly correlated with content of soil available phosphorus (P), while the community structures of nirS- and nosZ-carrying denitrifiers both correlated with soil pH and available P content. Soil N2O emission was mainly driven by the nirS-carrying denitrifiers. Our results present new perspective on the impacts of AR on soil N-cycle microbial network complexity and keystone taxa in the context of global changes.

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