Sketching the Human Microbiome Biogeography with DAR (Diversity-Area Relationship) Profiles
Sketching the Human Microbiome Biogeography with DAR (Diversity-Area Relationship) Profiles
复制标题
使用 DAR（多样性-区域关系）概况绘制人类微生物组生物地理学
DOI：
10.1007/s00248-018-1245-6
复制
发表时间：
2019-04-01
影响因子：
3.6
通讯作者：
Ma, Zhanshan (Sam)
中科院分区：
文献类型：
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作者：
Ma, Zhanshan (Sam)
SAR (species area relationship) is a classic ecological theory that has been extensively investigated and applied in the studies of global biogeography and biodiversity conservation in macro-ecology. It has also found important applications in microbial ecology in recent years thanks to the breakthroughs in metagenomic sequencing technology. Nevertheless, SAR has a serious limitation for practical applications—ignoring the species abundance and treating all species as equally abundant. This study aims to explore the biogeography discoveries of human microbiome over 18 sites of 5 major microbiome habitats, establish the baseline DAR (diversity-area scaling relationship) parameters, and perform comparisons with the classic SAR. The extension from SAR to DAR by adopting the Hill numbers as diversity measures not only overcomes the previously mentioned flaw of SAR but also allows for obtaining a series of important findings on the human microbiome biodiversity and biogeography. Specifically, two types of DAR models were built, the traditional power law (PL) and power law with exponential cutoff (PLEC), using comprehensive datasets from the HMP (human microbiome project). Furthermore, the biogeography “maps” for 18 human microbiome sites using their DAR profiles for assessing and predicting the diversity scaling across individuals, PDO profiles (pair-wise diversity overlap) for measuring diversity overlap (similarity), and MAD profile (for predicting themaximal accrual diversityin a population) were sketched out. The baseline biogeographymapsfor the healthy human microbiome diversity can offer guidelines for conserving human microbiome diversity and investigating the health implications of the human microbiome diversity and heterogeneity.
