Table 1.
Baseline characteristics of the Malaysian indigenous study participants (N = 51).
Figure 1.
Abundance and diversity in the intestinal microbiome in 51 Malaysian subjects.
(Panel A) The number of observed OTUs plotted against age for all 51 individual samples. The number of observed OTUs for most samples was between 1500–4000. (Panel B) Relative abundance of the top phyla represented across the 51 subjects arranged by increasing age. The abundance patterns were largely similar across the individual subjects, except in two of the younger subjects who had high abundance of Actinobacteria (Bifidobacterium sp.) in their stool samples.
Figure 2.
Beta and alpha diversity for the 51 subjects.
(Panel A) PCoA of the microbial communities in helminth-positive and helminth-negative samples. Clustering of helminth-positive subjects could be observed, which is statistically significant (p = 0.04). Rarefaction curves calculated for phylogenetic distance (Panel B) and Shannon index (Panel C) demonstrating the higher microbial diversity found among helminth positive subjects. (Panel D) Total number of observed OTUs in each individual sample was compared between helminth positive and negative groups.
Figure 3.
Different abundances of bacterial communities between helminth-positive and negative subjects.
With LEfSe for data analysis and visualization key OTUs were identified as differentiating between helminth-positive and helminth-negative fecal samples. (Panel A) Bacterial taxa that were differentially abundant in the gut microbiota profiles of helminth positive and helminth negative subjects visualized using a cladogram generated from LEfSe analysis. (Panel B) With a log LDA score above 3.00, we found an increased abundance of OTUs contributed by Paraprevotellaceae, Mollicutes, Bacteroidales and Alphaproteobacteria among helminth-positive subjects, while helminth-negative subjects had increased abundance of Bifidobacterium.
Figure 4.
Identification of helminth associated OTUs by centered log-ratio (clr) transformations and sparse Partial Least Squares Discriminant Analysis (sPLS-DA).
Supervised sPLS-DA models were first used to identify OTUs associated with helminth infection (Panel A), Trichuris alone (Panel B) or Ascaris alone (Panel C) with statistically significant model coefficients (alpha = 0.05). These OTUs then underwent additional permutation testing by fitting sPLS-DA models to over a thousand randomized datasets. These models were then visualized using biplots of the first two PLS factors.
Figure 5.
Inferred metagenomic analyses with PICRUSt.
(Panel A) Relative abundances of KEGG pathways encoded in the gut microbiota of helminth positive and negative indigenous Malaysians. (Panel B) Supervised comparison using LEfSe identifies differentially abundant KEGG pathways (Log LDA>2.00) in individuals positive for helminths. No functional pathways were differentially abundant in the helminth negative individuals. (Panel C) A similar list of functional pathways was found to be differentially abundant in individuals infected with Trichuris alone. (Panel D) Comparison between individuals who were positive for Ascaris only and individuals who were negative for helminths found translational pathways to be differentially abundant in the former (labeled green) and carbohydrate metabolism pathway to be differentially abundant in the latter group (labeled red). (Panel E) Genes in the pathways of Replication and repair, Translation, Nucleotide metabolism and Cell growth and death are more abundant in helminth positive individuals.
Figure 6.
Differences in gut microbiota between New York and Malaysian subjects.
(Panel A) PCoA plot for beta-diversity patterns of bacterial communities of fecal samples from the Malaysian indigenous community and the New Yorkers. Rarefaction curves plotted for phylogenetic distance (Panel B) and Shannon index (Panel C) as measures of alpha diversity. Phylogenetic distance and Shannon index were calculated at a rarefaction depth of 1450sequences/sample, and showed significant differences between the Malaysian and New York samples. (Panel D) LEfSe analysis of fecal communities showing Firmicutes as the differentially abundant phylum in the New York stool samples (green, NY) while Cyanobacteria, Actinobacteria, Tenericutes, and Gammaproteobacteria were differentially abundant in the Malaysian stool samples (red, MSIA).
Figure 7.
Metagenomic differences between New York and Malaysian subjects.
(Panel A) Relative abundances of metabolic pathways encoded in the gut microbiota of indigenous Malaysians and New Yorkers. (Panel B) Functional divergence between the gut microbiota of indigenous Malaysians and New Yorkers. Supervised comparison identifies differential abundance of specific KEGG pathways using LEfSe (Log LDA>2.00).