微生物群
生态学
人体微生物群
背景(考古学)
时间尺度
数据科学
多样性(政治)
生物
计算机科学
社会学
生物信息学
人类学
古生物学
作者
Antonio G. González,Jose C. Clemente,Ashley Shade,Jessica L. Metcalf,Sejin Song,Bharath Prithiviraj,Brent E. Palmer,Rob Knight
出处
期刊:EMBO Reports
[EMBO]
日期:2011-07-01
卷期号:12 (8): 775-784
被引量:83
标识
DOI:10.1038/embor.2011.137
摘要
Advances in DNA sequencing have allowed us to characterize microbial communities--including those associated with the human body--at a broader range of spatial and temporal scales than ever before. We can now answer fundamental questions that were previously inaccessible and use well-tested ecological theories to gain insight into changes in the microbiome that are associated with normal development and human disease. Perhaps unsurprisingly, the ecosystems associated with our body follow trends identified in communities at other sites and scales, and thus studies of the microbiome benefit from ecological insight. Here, we assess human microbiome research in the context of ecological principles and models, focusing on diversity, biological drivers of community structure, spatial patterning and temporal dynamics, and suggest key directions for future research that will bring us closer to the goal of building predictive models for personalized medicine.
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