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1.
Nat Commun ; 13(1): 4630, 2022 08 08.
Artículo en Inglés | MEDLINE | ID: mdl-35941112

RESUMEN

Liver damage due to chronic alcohol use is among the most prevalent liver diseases. Alcohol consumption frequency is a strong factor of microbiota variance. Here we use isotope labeled [1-13C] ethanol, metagenomics, and metatranscriptomics in ethanol-feeding and intragastric mouse models to investigate the metabolic impacts of alcohol consumption on the gut microbiota. First, we show that although stable isotope labeled [1-13C] ethanol contributes to fatty acid pools in the liver, plasma, and cecum contents of mice, there is no evidence of ethanol metabolism by gut microbiota ex vivo under anaerobic conditions. Next, we observe through metatranscriptomics that the gut microbiota responds to ethanol-feeding by activating acetate dissimilation, not by metabolizing ethanol directly. We demonstrate that blood acetate concentrations are elevated during ethanol consumption. Finally, by increasing systemic acetate levels with glyceryl triacetate supplementation, we do not observe any impact on liver disease, but do induce similar gut microbiota alterations as chronic ethanol-feeding in mice. Our results show that ethanol is not directly metabolized by the gut microbiota, and changes in the gut microbiota linked to ethanol are a side effect of elevated acetate levels. De-trending for these acetate effects may be critical for understanding gut microbiota changes that cause alcohol-related liver disease.


Asunto(s)
Microbioma Gastrointestinal , Hepatopatías , Acetatos/farmacología , Consumo de Bebidas Alcohólicas/efectos adversos , Animales , Etanol/metabolismo , Ratones , Ratones Endogámicos C57BL
2.
Microbiome ; 6(1): 5, 2018 01 05.
Artículo en Inglés | MEDLINE | ID: mdl-29304850

RESUMEN

BACKGROUND: Microorganisms have long been associated with oxic and anoxic degradation of hydrocarbons in oil reservoirs and oil production facilities. While we can readily determine the abundance of microorganisms in the reservoir and study their activity in the laboratory, it has been challenging to resolve what microbes are actively participating in crude oil degradation in situ and to gain insight into what metabolic pathways they deploy. RESULTS: Here, we describe the metabolic potential and in situ activity of microbial communities obtained from the Jiangsu Oil Reservoir (China) by an integrated metagenomics and metatranscriptomics approach. Almost complete genome sequences obtained by differential binning highlight the distinct capability of different community members to degrade hydrocarbons under oxic or anoxic condition. Transcriptomic data delineate active members of the community and give insights that Acinetobacter species completely oxidize alkanes into carbon dioxide with the involvement of oxygen, and Archaeoglobus species mainly ferment alkanes to generate acetate which could be consumed by Methanosaeta species. Furthermore, nutritional requirements based on amino acid and vitamin auxotrophies suggest a complex network of interactions and dependencies among active community members that go beyond classical syntrophic exchanges; this network defines community composition and microbial ecology in oil reservoirs undergoing secondary recovery. CONCLUSION: Our data expand current knowledge of the metabolic potential and role in hydrocarbon metabolism of individual members of thermophilic microbial communities from an oil reservoir. The study also reveals potential metabolic exchanges based on vitamin and amino acid auxotrophies indicating the presence of complex network of interactions between microbial taxa within the community.


Asunto(s)
Archaea/clasificación , Bacterias/clasificación , Perfilación de la Expresión Génica/métodos , Metagenómica/métodos , Yacimiento de Petróleo y Gas/microbiología , Acinetobacter/clasificación , Acinetobacter/genética , Acinetobacter/aislamiento & purificación , Archaea/genética , Archaea/aislamiento & purificación , Archaeoglobus/clasificación , Archaeoglobus/genética , Archaeoglobus/aislamiento & purificación , Bacterias/genética , Bacterias/aislamiento & purificación , Proteínas Bacterianas/genética , China , Redes y Vías Metabólicas , Methanosarcinales/clasificación , Methanosarcinales/genética , Methanosarcinales/aislamiento & purificación , Filogenia , Análisis de Secuencia de ADN , Análisis de Secuencia de ARN
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