ArticleMicrobiome2023
Analysis of strain, sex, and diet-dependent modulation of gut microbiota reveals candidate keystone organisms driving microbial diversity in response to American and ketogenic diets.
Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Observational
- Research advances in the identification of gut keystone bacteria and formulation of suitable dietary intervention strategies for restoring gut homeostasis.NPJ biofilms and microbiomes · 2026Review
- Sex- and mouse strain-related differences in body weight gain, composition of the gut microbiota, and levels of selected metabolites in response to a Western-style diet.BMC gastroenterology · 2026Article
- Interactions betweeniMetaOmics · 2025Article
- Review
- Advancing Obesity Management: the Very Low-Energy Ketogenic therapy (VLEKT) as an Evolution of the "Traditional" Ketogenic Diet.Current obesity reports · 2025Review
- Purified diets containing high levels of soluble fiber and grain-based diets promote similar gastrointestinal morphometry yet distinct microbial communities.Applied and environmental microbiology · 2024Article
- Exploring the Spatial Variation in the Microbiota and Bile Acid Metabolism of the Compound Stomach in Intensively Farmed Yaks.Microorganisms · 2024Article
- Global deletion of the immune cell transcription factor, T-bet, alters gut microbiota and insulin sensitivity in mice.Frontiers in genetics · 2024Article
- Direct and indirect effects of estrogens, androgens and intestinal microbiota on colorectal cancer.Frontiers in cellular and infection microbiology · 2024Review
- Metabolomic Profiling of Obese Patients with Altered Intestinal Permeability Undergoing a Very Low-Calorie Ketogenic Diet.Nutrients · 2023Article
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9 authors at 5 institutions in 2 countries.
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Abstract
backgroundThe gut microbiota is modulated by a combination of diet, host genetics, and sex effects. The magnitude of these effects and interactions among them is important to understanding inter-individual variability in gut microbiota. In a previous study, mouse strain-specific responses to American and ketogenic diets were observed along with several QTLs for metabolic traits. In the current study, we searched for genetic variants underlying differences in the gut microbiota in response to American and ketogenic diets, which are high in fat and vary in carbohydrate composition, between C57BL/6 J (B6) and FVB/NJ (FVB) mouse strains.
resultsGenetic mapping of microbial features revealed 18 loci under the QTL model (i.e., marginal effects that are not specific to diet or sex), 12 loci under the QTL by diet model, and 1 locus under the QTL by sex model. Multiple metabolic and microbial features map to the distal part of Chr 1 and Chr 16 along with eigenvectors extracted from principal coordinate analysis of measures of β-diversity. Bilophila, Ruminiclostridium 9, and Rikenella (Chr 1) were identified as sex- and diet-independent QTL candidate keystone organisms, and Parabacteroides (Chr 16) was identified as a diet-specific, candidate keystone organism in confirmatory factor analyses of traits mapping to these regions. For many microbial features, irrespective of which QTL model was used, diet or the interaction between diet and a genotype were the strongest predictors of the abundance of each microbial trait. Sex, while important to the analyses, was not as strong of a predictor for microbial abundances.
conclusionsThese results demonstrate that sex, diet, and genetic background have different magnitudes of effects on inter-individual differences in gut microbiota. Therefore, Precision Nutrition through the integration of genetic variation, microbiota, and sex affecting microbiota variation will be important to predict response to diets varying in carbohydrate composition. Video Abstract.
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