Trace: Tennessee Research and Creative Exchange Ecology and Evolutionary Biology Publications and Other Works Ecology and Evolutionary Biology Biogeography of the Ecosystems of the Healthy Human Body Recommended Citation Biogeography of the Ecosystems of the Healthy Human Body

Trace: Tennessee Research and Creative Exchange Ecology and Evolutionary Biology Publications and Other Works Ecology and Evolutionary Biology Biogeography of the Ecosystems of the Healthy Human Body Recommended Citation Biogeography of the Ecosystems of the Healthy Human Body
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Yanjiao Zhou;Hongyu Gao;K. Mihindukulasuriya;P. S. L. Rosa;K. Wylie;Tatiana Vishnivetskaya;M. Podar;B. Warner;P. Tarr;David E. Nelson;J. D. Fortenberry;Martin J Holland;S. Burr;W. Shannon;E. Sodergren;G. Weinstock;Patricio S;La Rosa;J. D. Fortenberry;Martin J Holland
Yanjiao Zhou;Hongyu Gao;K. Mihindukulasuriya;P. S. L. Rosa;K. Wylie;Tatiana Vishnivetskaya;M. Podar;B. Warner;P. Tarr;David E. Nelson;J. D. Fortenberry;Martin J Holland;S. Burr;W. Shannon;E. Sodergren;G. Weinstock;Patricio S;La Rosa;J. D. Fortenberry;Martin J Holland
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作者:
Yanjiao Zhou;Hongyu Gao;K. Mihindukulasuriya;P. S. L. Rosa;K. Wylie;Tatiana Vishnivetskaya;M. Podar;B. Warner;P. Tarr;David E. Nelson;J. D. Fortenberry;Martin J Holland;S. Burr;W. Shannon;E. Sodergren;G. Weinstock;Patricio S;La Rosa;J. D. Fortenberry;Martin J Holland

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背景:表征健康人的微生物组的微生物学特征对于理解微生物相关疾病至关重要。以前的研究主要集中在一个单一的身体栖息地从一组有限的主题。在这里,我们分析了迄今为止最大的微生物组数据集之一,并生成了一个地理地图,该地图注释了来自279名健康人的22个栖息地的生物多样性,空间关系和时间稳定性。结果如下:我们从22个栖息地的2400多万个16S rRNA基因序列中确定了929个属,并为健康成年人提供了受试者间变异的基线。口腔栖息地具有最稳定的微生物群,α多样性最高,而皮肤和阴道微生物群不太稳定,α多样性较低。一个栖息地的生物多样性水平独立于同一个体的其他栖息地的生物多样性。一个给定属在其占优势地位的身体部位的丰度与其不占优势地位的身体部位的丰度不相关。此外,我们观察到人类微生物群表现出世界性和地方性特征。最后,通过比较不同项目的数据集,揭示了基于项目的聚类模式,强调了宏基因组研究标准化的重要性。结论:本文提供的数据通过提供更完整和准确的人类微生物组微生物群图来扩展人类微生物组的定义,解决了通过测序深度采样的受试者和身体部位的大型数据集最好回答的问题。
Background: Characterizing the biogeography of the microbiome of healthy humans is essential for understanding microbial associated diseases. Previous studies mainly focused on a single body habitat from a limited set of subjects. Here, we analyzed one of the largest microbiome datasets to date and generated a biogeographical map that annotates the biodiversity, spatial relationships, and temporal stability of 22 habitats from 279 healthy humans. Results: We identified 929 genera from more than 24 million 16S rRNA gene sequences of 22 habitats, and we provide a baseline of inter-subject variation for healthy adults. The oral habitat has the most stable microbiota with the highest alpha diversity, while the skin and vaginal microbiota are less stable and show lower alpha diversity. The level of biodiversity in one habitat is independent of the biodiversity of other habitats in the same individual. The abundances of a given genus at a body site in which it dominates do not correlate with the abundances at body sites where it is not dominant. Additionally, we observed the human microbiota exhibit both cosmopolitan and endemic features. Finally, comparing datasets of different projects revealed a project-based clustering pattern, emphasizing the significance of standardization of metagenomic studies. Conclusions: The data presented here extend the definition of the human microbiome by providing a more complete and accurate picture of human microbiome biogeography, addressing questions best answered by a large dataset of subjects and body sites that are deeply sampled by sequencing.