Power law analysis of the human microbiome
文献类型：期刊论文
| 作者 | Ma ZS[*] |
| 刊名 | MOLECULAR ECOLOGY
 |
| 出版日期 | 2015 |
| 卷号 | 24期号:21页码:5428-5445 |
| 关键词 | human microbiome human vaginal microbiome medical ecology power law spatial heterogeneity temporal stability |
| 通讯作者 | samma@uidaho.edu |
| 合作状况 | 其它 |
| 英文摘要 | Taylor's (1961, Nature, 189:732) power law, a power function (V = am(b) ) describing the scaling relationship between the mean and variance of population abundances of organisms, has been found to govern the population abundance distributions of single species in both space and time in macroecology. It is regarded as one of few generalities in ecology, and its parameter b has been widely applied to characterize spatial aggregation (i.e. heterogeneity) and temporal stability of single-species populations. Here, we test its applicability to bacterial populations in the human microbiome using extensive data sets generated by the US-NIH Human Microbiome Project (HMP). We further propose extending Taylor's power law from the population to the community level, and accordingly introduce four types of power-law extensions (PLEs): type I PLE for community spatial aggregation (heterogeneity), type II PLE for community temporal aggregation (stability), type III PLE for mixed-species population spatial aggregation (heterogeneity) and type IV PLE for mixed-species population temporal aggregation (stability). Our results show that fittings to the four PLEs with HMP data were statistically extremely significant and their parameters are ecologically sound, hence confirming the validity of the power law at both the population and community levels. These findings not only provide a powerful tool to characterize the aggregations of population and community in both time and space, offering important insights into community heterogeneity in space and/or stability in time, but also underscore the three general properties of power laws (scale invariance, no average and universality) and their specific manifestations in our four PLEs. |
| 收录类别 | SCI |
| 资助信息 | This research received funding from the follow- ing agencies: ‘CAS One-Hundred Talented PI Program’(中科 院’百人计划’), ‘Exceptional Scientists Program and Top Oversea Scholars Program of Yunnan Province’ (云南省’高端科技人 才’和’海外高层次人才计划’), The Innovative Research Team on the ‘Synthesis of Natural Evolution and Computational Evolu- tion’ (中科院昆明动物所’自然进化-进化计算’云南省创新团队) and National Science Foundation of China (NSFC Grants No. 61175071 & No. 71473243). |
| 语种 | 英语 |
| 源URL | [http://159.226.149.26:8080/handle/152453/9501]  |
| 专题 | 昆明动物研究所_计算生物与生物信息学 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 作者单位 | Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming, 650223, China. |
| 推荐引用方式 GB/T 7714 | Ma ZS[*]. Power law analysis of the human microbiome[J]. MOLECULAR ECOLOGY,2015,24(21):5428-5445. |
| APA | Ma ZS[*].(2015).Power law analysis of the human microbiome.MOLECULAR ECOLOGY,24(21),5428-5445. |
| MLA | Ma ZS[*]."Power law analysis of the human microbiome".MOLECULAR ECOLOGY 24.21(2015):5428-5445. |
入库方式： OAI收割
来源：昆明动物研究所
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