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In this study, we illustrated a model of this mucosa bacterial communities\u2019 biogeography, based on the largest data set so far, obtained via 454-pyrosequencing of bacterial 16S rDNAs associated with 77 matched biopsy tissue samples taken from terminal ileum, ileocecal valve, ascending colon, transverse colon, descending colon, sigmoid colon and rectum of 11 healthy adult subjects. Borrowing from macro-ecology, we used both Taylor\u2019s power law analysis and phylogeny-based beta-diversity metrics to uncover a highly heterogeneous distribution pattern of mucosa microbial inhabitants along the length of the intestinal tract. We then developed a spatial dispersion model with an R-squared value greater than 0.950 to map out the gut mucosa-associated flora\u2019s non-linear spatial distribution pattern for 51.60% of the 188 most abundant gut bacterial species. Furthermore, spatial co-occurring network analysis of mucosa microbial inhabitants together with occupancy (that is habitat generalists, specialists and opportunist) analyses implies that ecological relationships (both oppositional and symbiotic) between mucosa microbial inhabitants may be important contributors to the observed spatial heterogeneity of mucosa microbiota along the human intestine and may even potentially be associated with mutual cooperation within and functional stability of the gut ecosystem.<\/jats:p>","DOI":"10.1038\/ismej.2013.185","type":"journal-article","created":{"date-parts":[[2013,10,17]],"date-time":"2013-10-17T10:37:00Z","timestamp":1382006220000},"page":"881-893","source":"Crossref","is-referenced-by-count":213,"title":["Spatial heterogeneity and co-occurrence patterns of human mucosal-associated intestinal microbiota"],"prefix":"10.1093","volume":"8","author":[{"given":"Zhigang","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key 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