Gut microbiota components influenced by AXOS intake.

Slides:



Advertisements
Similar presentations
Lecture 4 Normal distribution? Sample data at :
Advertisements

1 Confidence Intervals for Means. 2 When the sample size n< 30 case1-1. the underlying distribution is normal with known variance case1-2. the underlying.
Regression Analysis Week 8 DIAGNOSTIC AND REMEDIAL MEASURES Residuals The main purpose examining residuals Diagnostic for Residuals Test involving residuals.
Principal components were computed for normalized intensities from samples of the given tissue-chip combination. The first two principal components are.
Supplementary Figure Legends Supplementary Figure 1: The variance of pD  H activity plotted against mean pD  H activity for three populations, obtained.
Microbial community dissimilarity.
Nat. Rev. Nephrol. doi: /nrneph
Dysbiosis of gut microbiota patterns in Chinese patients with IBD
Integrated protein co‐expression and differential expression across the ALS‐FTD disease continuum Integrated protein co‐expression and differential expression.
Transcriptome changes in Cnot6l knockout oocytes and zygotes.
Differential abundance of bacterial families.
Gut microbial diversity of mice in voluntary and forced exercise groups. Gut microbial diversity of mice in voluntary and forced exercise groups. Weighted.
Microbial diversity of the 10 body locations sampled.
(a) Bifurcating tree generated from hierarchical clustering of OTUs based on mean pH. (a) Bifurcating tree generated from hierarchical clustering of OTUs.
Optimized KatharoSeq protocol applied to a JPL cleanroom facility.
Voluntary but not forced exercise alters food consumption in mice.
Copy number estimation for Bacillus anthracis plasmids pXO1 and pXO2.
Plots of the number of sequences [log (x + 1) scale] from bacterial OTUs in both PCR replicates (PCR1 and PCR2) of the 348 wild rodents analyzed in the.
1H NMR-based fecal metabolomics assessment of gut microbial functional activity in response to monkey milk, standard infant formula, or B. lactis-supplemented.
Taxonomic composition of the baboon and human gut microbiota.
Performance of FDR methods on filtered microbiome data.
Distribution of the bacterial taxa that exhibit the greatest log fold changes in mean relative abundance. Distribution of the bacterial taxa that exhibit.
Population characteristics.
Comparison of the global transcriptomes of nine EPEC isolates.
Statistical comparison of metabolites and analysis of differential metabolites and key metabolic pathways. Statistical comparison of metabolites and analysis.
Box plots of quality scores over positions in sequenced reads.
Gene-wise Tajima’s D values and gene lengths.
Comparison of distal gut metabolite profiles between Egyptian and U. S
Total LPS from the human gut microbiome is immunoinhibitory.
Differential relative abundance of major taxa for successive pairwise comparisons. Differential relative abundance of major taxa for successive pairwise.
The similar shifts of gut microbiota in IBD across cohorts.
Functional enrichment of differentially expressed genes.
Distribution of microbial functions in urban waterways.
Comparison of the original ITS primer pair and the new, modified ITS primer pair. Comparison of the original ITS primer pair and the new, modified ITS.
Comparison of the modified 515f/806rB V4 primer pair and the 515f (modified)/926r primer pair. Comparison of the modified 515f/806rB V4 primer pair and.
A and B, ROC curves of the proteomics panel diagnosis.
PICRUSt analysis results of predicted functional pathways in the gut microbiota. PICRUSt analysis results of predicted functional pathways in the gut microbiota.
Comparison of observed and predicted coverage patterns.
Cross-validation (CV) results for Crohn’s disease study: most frequent taxa and most frequent balances selected in the CV procedure compared to the global.
(a, b) Hypothetical scenario where 2 samples of 2 proportions may explain two different scenarios in the environment. (a, b) Hypothetical scenario where.
Metabolite predictability is consistent between vaginal and mouse cecal data sets. Metabolite predictability is consistent between vaginal and mouse cecal.
Differential protein, mRNA, lncRNA and miRNA regulation by p53.
Trends in metabolite predictability in terms of key gene contributors.
Effects of the dietary intervention on urine metabolome.
Transcriptome changes in Cnot6l knockout oocytes and zygotes.
Taxonomy assessment of metagenes with differential abundance as a result of the AXOS intervention. Taxonomy assessment of metagenes with differential abundance.
Fig. 7 Correlation of NHP and human ISGs.
Gain of function in the gut microbiome as a consequence of AXOS ingestion. Gain of function in the gut microbiome as a consequence of AXOS ingestion. Overrepresented.
Box plots displaying the median, minimum, maximum, and first and third quartiles of the percentage of the 25 members of the core microbiome detected in.
(A and B) Unweighted (A) and weighted (B) UniFrac clustering of three 16S rRNA hypervariable regions using fragment insertion SATé-enabled phylogenetic.
Reanalysis of an existing experiment using ADAGE
mtDNA genotypes correlate with gut microbiota composition.
Initial analysis of the transcriptional effects in eight carbon storage mutants (1 to 8; ΔphbA, phbB::ΩSpSm, ΔphbAB, ΔphbC, ΔphaZ, ΔbdhA, acsA2::Tn5, glgA1ΔPstI)
Heatmaps reveal significantly affected pathways by 4 mg/liter polymyxin B (PMB) in strains PAK and PAKpmrB6 at 1 h using transcriptomics. Heatmaps reveal.
Differences in Verrucomicrobia genera across plant community types.
Comparison of the original 515f/806r primer pair and the new, modified 515f/806rB primer pair. Comparison of the original 515f/806r primer pair and the.
Enrichment of KEGG pathways in microbial genes in different samples.
Transcriptomic changes in strains PAK and PAKpmrB6 in response to polymyxin B (PMB). Transcriptomic changes in strains PAK and PAKpmrB6 in response to.
Comparison of gut microbiota alpha diversity in different preservatives based on 16S rRNA gene V3-V4 amplicon sequencing. Comparison of gut microbiota.
Feature computation and classification of grating pitch.
by Peter J. Turnbaugh, Vanessa K. Ridaura, Jeremiah J
KEGG categories of host DEGs (up- and downregulated genes) enriched at selected points after φAbp1 infection. KEGG categories of host DEGs (up- and downregulated.
PCoA plots of subgingival samples with disease classification overlaid
PRF orientation biases in dorsal and ventral divisions of EVC
Host gene expression changes following exposure to the microbiota.
Variations in beta and alpha diversity of gut microbiome bacterial communities in relation to presence of Blastocystis. Variations in beta and alpha diversity.
Variations in beta and alpha diversity of gut microbiome eukaryotic communities explained by presence of Blastocystis. Variations in beta and alpha diversity.
Comparison of distal gut microbiota composition between Egyptian and U
Integrated analysis of gene expression and copy number alterations.
Differential abundance of metabolites in the sera of HVs and TPs
Presentation transcript:

Gut microbiota components influenced by AXOS intake. Gut microbiota components influenced by AXOS intake. The distribution of normalized reads belonging to the taxonomy categories with differential abundance after AXOS consumption is depicted in box plots. Red boxes represent start point samples (baseline before the intervention), whereas turquoise boxes represent the endpoint samples (at the end of the intervention). Blue data points indicate outliers. The linear mixed model (LMM) estimate (baseline as reference group) and P values are shown. LMM indicates the variance obtained using log-transformed data. Alfonso Benítez-Páez et al. mSystems 2019; doi:10.1128/mSystems.00209-19