Material Engineering in Gut Microbiome and Human Health
Sampling gut microbiome with preserved spatial information for spatial characterization of microbial biogeography. (a) Conventional methods for sampling gut microbiota in bulk often resulted in loss of spatial information that is critical for understanding the gut microbiome. In the MAP-seq approach, mouse intestine tissues were first dissected into different sections in a sequential manner; then, each section was embedded, barcoded, and fractioned for microbiota analysis through PCR and using 16S as a control gene. (b) Spatial map of intestinal microbiota. OTU: number of species. Heatmap is shown at the Log10 scale. Bray-Curtis dissimilarity was used for the clustering. (c) -distributed stochastic neighbor embedding (-SNE) visualization of Bray-Curtis OTU RA dissimilarity, showing the differential microbiota composition in different locations of the gut. The four graphs on the right are circular graphs of the pairwise spatial association for abundant OTUs. Nodes are correspondent to OTUs, and sizes are indicative of the prevalence of OTUs across clusters. Color indicates OTU taxonomy. Images adapted from reference , Nature Publish Group.