Keystone Species and Modularity in Microbial Hydrocarbon Degradation Uncovered by Network Analysis and Association Rule Mining
| العنوان: | Keystone Species and Modularity in Microbial Hydrocarbon Degradation Uncovered by Network Analysis and Association Rule Mining |
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| المؤلفون: | Ingo Fetzer, Sarah Günnigmann, Annelie Wendeberg, Florian Centler |
| المصدر: | Microorganisms Microorganisms, Vol 8, Iss 2, p 190 (2020) Volume 8 Issue 2 |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Microbiology (medical), Association rule learning, Process (engineering), Ecology (disciplines), microbial communities, Microbiology, Article, 03 medical and health sciences, co-occurrence analysis, Virology, Global network, Keystone species, lcsh:QH301-705.5, network analysis, 030304 developmental biology, Abiotic component, 0303 health sciences, Modularity (networks), 030306 microbiology, Ecology, spatial scales, lcsh:Biology (General), association rule mining, sample resolution, Environmental science, Network analysis, hydrocarbon degradation |
| الوصف: | Natural microbial communities in soils are highly diverse, allowing for rich networks of microbial interactions to unfold. Identifying key players in these networks is difficult as the distribution of microbial diversity at the local scale is typically non-uniform, and is the outcome of both abiotic environmental factors and microbial interactions. Here, using spatially resolved microbial presence-absence data along an aquifer transect contaminated with hydrocarbons, we combined co-occurrence analysis with association rule mining to identify potential keystone species along the hydrocarbon degradation process. Derived co-occurrence networks were found to be of a modular structure, with modules being associated with specific spatial locations and metabolic activity along the contamination plume. Association rules identify species that never occur without another, hence identifying potential one-sided cross-feeding relationships. We find that hub nodes in the rule network appearing in many rules as targets qualify as potential keystone species that catalyze critical transformation steps and are able to interact with varying partners. By contrasting analysis based on data derived from bulk samples and individual soil particles, we highlight the importance of spatial sample resolution. While individual inferred interactions are hypothetical in nature, requiring experimental verification, the observed global network patterns provide a unique first glimpse at the complex interaction networks at work in the microbial world. |
| وصف الملف: | application/pdf |
| تدمد: | 2076-2607 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c3aa3df0f087113ecff2f8544aa5471 https://pubmed.ncbi.nlm.nih.gov/32019172 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6c3aa3df0f087113ecff2f8544aa5471 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20762607 |
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