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基于经典多样性-面积关系(DAR)模型的人类病毒组个体间多样性缩放分析。

Inter-Individual Diversity Scaling Analysis of the Human Virome With Classic Diversity-Area Relationship (DAR) Modeling.

作者信息

Xiao Wanmeng, Ma Zhanshan Sam

机构信息

Computational Biology and Medical Ecology Laboratory, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.

Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China.

出版信息

Front Genet. 2021 Apr 20;12:627128. doi: 10.3389/fgene.2021.627128. eCollection 2021.

DOI:10.3389/fgene.2021.627128
PMID:33959147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8095712/
Abstract

The human virome is a critical component of the human microbiome, and it is believed to hold the richest diversity within human microbiomes. Yet, the inter-individual scaling (changes) of the human virome has not been formally investigated to the best of our knowledge. Here we fill the gap by applying diversity-area relationship (DAR) modeling (a recent extension to the classic species-area law in biodiversity and biogeography research) for analyzing four large datasets of the human virome with three DAR profiles: DAR scaling ()-measuring the inter-individual heterogeneity in virome diversity, (maximal accrual diversity: ) and ratio (ratio of local diversity to global diversity)-measuring the percentage of individual to population level diversity. Our analyses suggest: () The diversity scaling parameter () is rather resilient against the diseases as indicated by the lack of significant differences between the healthy and diseased treatments. () The potential maximal accrual diversity ( ) is less resilient and may vary between the healthy and diseased groups or between different body sites. () The ratio of bacterial communities is much smaller than for viral communities, and relates to the comparatively greater heterogeneity between local vs. global diversity levels found for bacterial-biomes.

摘要

人类病毒组是人类微生物组的关键组成部分,并且被认为在人类微生物组中拥有最为丰富的多样性。然而,据我们所知,人类病毒组的个体间尺度变化尚未得到正式研究。在此,我们通过应用多样性-面积关系(DAR)模型(生物多样性和生物地理学研究中经典物种-面积定律的最新扩展)来填补这一空白,该模型用于分析四个大型人类病毒组数据集,并采用三种DAR概况:DAR尺度()——测量病毒组多样性的个体间异质性、(最大累积多样性:)和比率(局部多样性与全局多样性的比率)——测量个体水平多样性占群体水平多样性的百分比。我们的分析表明:()多样性尺度参数()对疾病具有较强的抵抗力,健康组和疾病组之间无显著差异即可表明这一点。()潜在的最大累积多样性()的抵抗力较弱,可能在健康组和疾病组之间或不同身体部位之间有所不同。()细菌群落的比率远小于病毒群落,并且与细菌生物群落中局部与全局多样性水平之间相对较大的异质性有关。

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How and Why Men and Women Differ in Their Microbiomes: Medical Ecology and Network Analyses of the Microgenderome.男性和女性微生物群的差异方式及原因:微性别组的医学生态学与网络分析
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