NetCom

NetCom predicts metabolic activities in microbial communities by using a network-based interpretation of assembled and annotated metagenomic data to link differential enzymatic reaction abundance with pathways, environmental resources, and compound production to elucidate environment–community–function relationships.


Key Features:

  • Input Requirements: Accepts lists of differentially abundant enzymatic reactions derived from metagenomic data as the primary input.
  • Pathway Associations: Identifies and associates metabolic pathways with enzymes that show differential abundance across conditions.
  • Environmental Resource Prediction: Predicts unique environmental resources for each treatment condition and links them to specific metabolic pathways.
  • Compound Production Prediction: Forecasts compounds produced by the microbial community and delineates pathway associations for treatment-specific compounds.
  • Network Visualization: Produces 2D and 3D network representations including enzymes, environmental resources, and produced compounds, highlighting elements unique to specific treatments.

Scientific Applications:

  • Ecological and environmental microbiology: Supports studies that infer community-level metabolic activities from metagenomic enzyme abundance data.
  • Rhizosphere and root-specific activity prediction: Predicts root-specific activities and forecasts how soil amendments may impact microbial community functions in rhizospheres.
  • Nutrient cycling: Aids investigation of ecosystem functions such as nutrient cycling by linking enzymes and pathways to environmental resources and compounds.
  • Plant–microbe interactions: Enables analysis of metabolic processes relevant to plant–microbe interactions through pathway and compound predictions.

Methodology:

Implements a network-based approach that integrates differential abundance information of enzymatic reactions from assembled and annotated metagenomic data to construct metabolic networks linking enzymes, pathways, environmental resources, and produced compounds.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
2/12/2022
Last Updated:
2/12/2022

Operations

Publications

Tal O, Bartuv R, Vetcos M, Medina S, Jiang J, Freilich S. NetCom: A Network-Based Tool for Predicting Metabolic Activities of Microbial Communities Based on Interpretation of Metagenomics Data. Microorganisms. 2021;9(9):1838. doi:10.3390/microorganisms9091838. PMID:34576734. PMCID:PMC8468097.

PMID: 34576734
PMCID: PMC8468097
Funding: - United States - Israel Binational Agricultural Research and Development Fund: US-5046-17R - Israel Science Foundation: NSFC-ISF joint program (4181101565), Israel Science Foundation Grant no. 3164/19

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