ArticleMicroorganisms2021
NetCom: A Network-Based Tool for Predicting Metabolic Activities of Microbial Communities Based on Interpretation of Metagenomics Data.
Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- ZmPHR1 and ZmPHR2 Mediate Metabolic and Microbial Regulation of Maize Adaptation to Phosphorus Heterogeneity.Plant, cell & environment · 2026Article
- microbetag: simplifying microbial network interpretation through annotation, enrichment tests, and metabolic complementarity analysis.Genome biology · 2025Article
- A Spatiotemporal Atlas of the Gut Microbiota inBiology · 2025Article
- Description and Genomic Characteristics of Diaphorobacter limosus sp. nov., Isolated from a Sewage-Treatment Plant.Current microbiology · 2024Article
- A framework for the targeted recruitment of crop-beneficial soil taxa based on network analysis of metagenomics data.Microbiome · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The study of microbial activity can be viewed as a triangle with three sides: environment (dominant resources in a specific habitat), community (species dictating a repertoire of metabolic conversions) and function (production and/or utilization of resources and compounds). Advances in metagenomics enable a high-resolution description of complex microbial communities in their natural environments and support a systematic study of environment-community-function associations. NetCom is a web-tool for predicting metabolic activities of microbial communities based on network-based interpretation of assembled and annotated metagenomics data. The algorithm takes as an input, lists of differentially abundant enzymatic reactions and generates the following outputs: (i) pathway associations of differently abundant enzymes; (ii) prediction of environmental resources that are unique to each treatment, and their pathway associations; (iii) prediction of compounds that are produced by the microbial community, and pathway association of compounds that are treatment-specific; (iv) network visualization of enzymes, environmental resources and produced compounds, that are treatment specific (2 and 3D). The tool is demonstrated on metagenomic data from rhizosphere and bulk soil samples. By predicting root-specific activities, we illustrate the relevance of our framework for forecasting the impact of soil amendments on the corresponding microbial communities. NetCom is available online.
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Registered trials
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