Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-018-03192-1 |
Mapping the ecological networks of microbial communities | |
Xiao, Yandong1,2,3; Tulio Angulo, Marco4,5; Friedman, Jonathan6; Waldor, Matthew K.2,7,8; Weiss, Scott T.1,2; Liu, Yang-Yu1,2,9 | |
2017-12-11 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2017 |
卷号 | 8 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China; Mexico |
英文摘要 | Mapping the ecological networks of microbial communities is a necessary step toward understanding their assembly rules and predicting their temporal behavior. However, existing methods require assuming a particular population dynamics model, which is not known a priori. Moreover, those methods require fitting longitudinal abundance data, which are often not informative enough for reliable inference. To overcome these limitations, here we develop a new method based on steady-state abundance data. Our method can infer the network topology and inter-taxa interaction types without assuming any particular population dynamics model. Additionally, when the population dynamics is assumed to follow the classic Generalized Lotka-Volterra model, our method can infer the inter-taxa interaction strengths and intrinsic growth rates. We systematically validate our method using simulated data, and then apply it to four experimental data sets. Our method represents a key step towards reliable modeling of complex, real-world microbial communities, such as the human gut microbiota. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000417649500018 |
WOS关键词 | HIGHER-ORDER INTERACTIONS ; GUT MICROBIOTA ; FUNCTIONAL-RESPONSES ; INTERFERENCE ; DIVERSITY ; RESILIENCE ; DYNAMICS ; HEALTH |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/203680 |
专题 | 资源环境科学 |
作者单位 | 1.Brigham & Womens Hosp, Channing Div Network Med, 75 Francis St, Boston, MA 02115 USA; 2.Harvard Med Sch, Boston, MA 02115 USA; 3.Natl Univ Def Technol, Sci & Technol Informat Syst Engn Lab, Changsha 410073, Hunan, Peoples R China; 4.Univ Nacl Autonoma Mexico, Inst Math, Juriquilla 76230, Mexico; 5.Natl Council Sci & Technol CONACyT, Mexico City 03940, DF, Mexico; 6.MIT, Dept Phys, Phys Living Syst, Cambridge, MA 02139 USA; 7.Brigham & Womens Hosp, Div Infect Dis, 75 Francis St, Boston, MA 02115 USA; 8.Howard Hughes Med Inst, Boston, MA 02115 USA; 9.Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA |
推荐引用方式 GB/T 7714 | Xiao, Yandong,Tulio Angulo, Marco,Friedman, Jonathan,et al. Mapping the ecological networks of microbial communities[J]. NATURE COMMUNICATIONS,2017,8. |
APA | Xiao, Yandong,Tulio Angulo, Marco,Friedman, Jonathan,Waldor, Matthew K.,Weiss, Scott T.,&Liu, Yang-Yu.(2017).Mapping the ecological networks of microbial communities.NATURE COMMUNICATIONS,8. |
MLA | Xiao, Yandong,et al."Mapping the ecological networks of microbial communities".NATURE COMMUNICATIONS 8(2017). |
条目包含的文件 | 条目无相关文件。 |
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