State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Department of Gastroenterology, The First People's Hospital of Yunnan Province, Kunming, China.
ISME J. 2014 Apr;8(4):881-93. doi: 10.1038/ismej.2013.185. Epub 2013 Oct 17.
Human gut microbiota shows high inter-subject variations, but the actual spatial distribution and co-occurrence patterns of gut mucosa microbiota that occur within a healthy human instestinal tract remain poorly understood. In this study, we illustrated a model of this mucosa bacterial communities' 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's 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's 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.
人类肠道微生物群落具有高度的个体间变异性,但对于健康人类肠道内黏膜微生物的实际空间分布和共生模式仍了解甚少。在本研究中,我们基于迄今为止最大的数据集,通过对 11 名健康成年人的回肠末端、回盲瓣、升结肠、横结肠、降结肠、乙状结肠和直肠的 77 个匹配活检组织样本进行 454 焦磷酸测序,获得了与细菌 16S rDNA 相关的数据集,以此描绘了黏膜细菌群落的生物地理学模型。借鉴宏生态学,我们同时使用泰勒幂律分析和基于系统发育的β多样性指标,揭示了黏膜微生物居民在肠道长度上高度不均匀的分布模式。然后,我们开发了一个空间分散模型,其 R²值大于 0.950,用于绘制 188 种最丰富的肠道细菌物种中的 51.60%的肠道黏膜相关菌群的非线性空间分布模式。此外,黏膜微生物居民的空间共生网络分析以及占据(即生境广适者、专性生物和机会主义者)分析表明,黏膜微生物居民之间的生态关系(包括对立和共生关系)可能是导致人类肠道黏膜微生物群沿肠道呈现空间异质性的重要因素,甚至可能与肠道生态系统内的相互合作和功能稳定性相关。