Dominant and diet-responsive groups of bacteria within the human colonic microbiota
By A. Walker, J. Ince, S. Duncan, L. Webster, G. Holtrop, X. Ze, David Brown, Mark D. Stares, P. Scott, Aurore Bergerat and 6 more. The ISME Journal, 2011
1,597 citations recorded by the source corpus.
Subfields: Food Science, Molecular Biology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/8f200b8db17cdde2db49c24605dec53347fa0c5a
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Citations in the corpus
- Microbial degradation of complex carbohydrates in the gut (2012, background): “Data are from walker et al. (2011),4 and represent the mean of 26 fecal samples from six obese male volunteers (4, or in one case 6, samples per person) taken during a 12 week controlled dietary study. phylotypes corresponding to the 25 most abundant cultured bacterial species, that accounted for…”
- Dynamics of Human Gut Microbiota and Short-Chain Fatty Acids in Response to Dietary Interventions with Three Fermentable Fibers (2018, background): “bromii was the dominant responder (22, 36) and was therefore”
- Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers (2011, background): “Recent studies have shown that diet has a dominating role in shaping the structure of gut microbiota (De Filippo et al., 2010; Walker et al., 2010; Zhang et al., 2010), which anaerobically ferments dietary components that are not completely digested and absorbed in the upper gastrointestinal tract…”
- Short chain fatty acids in human gut and metabolic health. (2020, neutral): “Human studies with starch supplementation supported the key role of R. bromii and E. rectale in starch degradation (Martínez et al. , 2010; Walker et al. , 2011).”
- Dietary Fiber-Induced Improvement in Glucose Metabolism Is Associated with Increased Abundance of Prevotella. (2015, methodology): “All reactions were performed in duplicate in one run and in duplicate PCR runs. qPCR was performed as reported previously: for Bacteroides (Walker et al., 2011), for the methyl coenzyme-M reductase gene (Denman et al., 2007), for Prevotella (Matsuki et al., 2002), and for B. thetaiotaomicron…”
- Faecalibacterium prausnitzii: from microbiology to diagnostics and prognostics (2017, methodology): “These have been estimated by molecular methods analyzing the overall bacterial community in fecal samples to represent around 2% of Faecalibacterium sequences (Tap et al., 2009; Walker et al., 2011), and corroborated using speciesspecific primers (Lopez-Siles et al.”
- Gut microbiota functions: metabolism of nutrients and other food components (2017, background): “5 that had occurred in a previous continuous flow fermenter experiment [139, 140].”
- Formation of propionate and butyrate by the human colonic microbiota. (2017, background): “hallii are among the 10 most abundant species reported in the human faecal microbiota (Qin et al., 2010; Walker et al., 2011) (Table 1) and together accounted for 44% of butyryl CoA:acetate CoA-transferase sequences amplified from faecal samples of 10 healthy volunteers (Louis et al.”
- Dietary fiber and prebiotics and the gastrointestinal microbiota (2017, background): “These phenotypic responses are related to a combination of host genetics,(7) adequate dosages of the dietary polysaccharide of interest,(72,73) and the unique microbiota composition of the individual.(74) Thus, “responders” and “non-responders” to dietary modulation of the microbiota via specific fi”
- Resistant starch: promise for improving human health. (2013, background): “These effects can be both direct and indirect, that is, bacteria that can digest resistant starch generate energy, which provides them with a growth advantage in the gut (9).”
- The first 1000 cultured species of the human gastrointestinal microbiota (2014, background): “bromii is the major degrader of the resistant starch in the human gastrointestinal tract (Kovatcheva-Datchary et al., 2009; Walker et al., 2011).”
- Regression Analysis for Microbiome Compositional Data (2016, background): “Oscillibacter was observed to be increased on the resistent starch and reduced carbohydrate weight loss diets [Walker et al. (2011)] in a strictly dietcontrolled experiment in obese men, which may explain its negative association with BMI.”