Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1049311 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27108231_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27108232_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27108233_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27108234_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27108235_subreads.fastq.gz | Fastqsanger.gz |
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Project description:Thiamine prevents diabetic complications, and its deficiency, resulting from mutation of thiamine transporter gene SLC19A2 has been linked to diabetes mellitus. We previously found that thiamine mitigates metabolic disorders in spontaneous hypertensive rats, harboring defects in glucose and fatty acid metabolism. The current study extends our hypothesis that that thiamine intervention may impact metabolic abnormalities in polyphagia-induced Otsuka Long-Evans Tokushima Fatty (OLETF) rats that lack functional cholecystokinin A receptors. Male OLETF rats exhibit progressive obesity and metabolic disorders similar to human metabolic syndrome. Male OLETF rats (4-week-old) were given free access to water containing either 0.2 % or 0 % of thiamine for 51 weeks. At the end of treatment, blood parameters and cardiac functions were analyzed. After sacrifice, the organs were removed and weights of organs and histological findings were evaluated. In addition, differential gene expression in the liver was analyzed. Thiamine intervention averted obesity, mainly resulting from reduction of visceral adiposity, and prevented metabolic disorders in OLETF rats. Histological evaluation revealed that thiamine alleviated adipocyte hypertrophy, steatosis in the liver, heart, and skeletal muscle, interstitial fibrosis in the heart and kidney, fatty degeneration in the pancreas, thickening of the basement membrane of vasculature, and glomerulopathy and mononuclear cell infiltration in the kidney. Cardiac and renal functions were preserved in thiamine treatment. Seventy-six genes showed at least two-fold difference in hepatic expression with thiamine treatment. Several of them participated in carbohydrate metabolism (Hk1, Pygb, Slc2a8, Rtn4, Rhbdl1, and Tspan8), lipid metabolism (Pla2g15, Por, and Lmf1), vascular physiology (S1pr1, Epha8, Rtn4, Slc7a13, Cdh15, Itga9, Cd151, Cd40lg, Nid1 and Lamb1), and carcinogenesis (Lmo7, Fgfr3, and Dmbt1). Modification of transcript expression well accorded with the findings of blood parameters and organ morphologies. Thiamine prevented polyphagia-induced obesity and metabolic and functional disorders in OLETF rats.
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Abstract -
An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and their impact on host physiology. This research can be confounded by poorly understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multiway interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition, and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that, in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle, including 2-oxoglutarate and succinate, are produced at high flux and cross-fed between bacterial taxa, suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.IMPORTANCE Drosophila is an important model for microbiome research partly because of the low complexity of its mostly culturable gut microbiota. Our current understanding of how Drosophila interacts with its gut microbes and how these interactions influence host traits derives almost entirely from empirical studies that focus on individual microbial taxa or classes of metabolites. These studies have failed to capture fully the complexity of metabolic interactions that occur between host and microbe. To overcome this limitation, we reconstructed and analyzed 31 metabolic models for every combination of the five principal bacterial taxa in the gut microbiome of Drosophila This revealed that metabolic interactions between Drosophila gut bacterial taxa are highly dynamic and influenced by cooccurring bacteria and nutrient availability. Our results generate testable hypotheses about among-microbe ecological interactions in the Drosophila gut and the diversity of metabolites available to influence host traits.
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2021-07-01 | MODEL2002040004 | BioModels
Project description:An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and its impact on host physiology. This research can be confounded by poorly-understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multi-way interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle including 2-oxoglutarate and succinate are produced at high flux and cross-fed between bacterial taxa suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.
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