1. Omics Types

microbiomics

Definition

Microbiomics is the comprehensive study of microbial communities (microbiomes) and their collective genetic material, metabolic activities, and ecological interactions within specific environments, including human body sites, soil, water, and other ecosystems. This omics approach integrates metagenomics, metatranscriptomics, metaproteomics, and metabolomics data to characterize microbial composition, functional capabilities, and host-microbe interactions. Microbiomics reveals how microbial communities influence health, disease, immunity, metabolism, and environmental processes. It encompasses analysis of taxonomic diversity, gene abundance, metabolic pathways, and inter-species communication networks, providing insights into dysbiosis patterns associated with conditions like inflammatory bowel disease, obesity, and cancer, while informing therapeutic strategies including probiotics, prebiotics, and microbiome-targeted interventions.

Visualize microbiomics in Nodes Bio

Researchers can visualize complex microbiome interaction networks in Nodes Bio, mapping relationships between microbial taxa, metabolic pathways, and host factors. Network graphs reveal keystone species, metabolic dependencies, and dysbiosis patterns by connecting microbial abundance data with clinical outcomes, gene expression, and metabolite profiles. This enables identification of microbial consortia, cross-feeding relationships, and potential therapeutic targets within the microbiome ecosystem.

Visualization Ideas:

  • Microbial co-occurrence networks showing positive and negative associations between taxa across samples
  • Host-microbiome interaction networks connecting microbial species to immune genes and metabolic pathways
  • Metabolic pathway networks illustrating microbial functional capabilities and cross-feeding relationships
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Example Use Case

A gastroenterology research team investigates gut microbiome alterations in Crohn's disease patients. They integrate 16S rRNA sequencing data identifying bacterial taxa, metagenomic functional annotations, fecal metabolomics profiles, and patient inflammatory markers. By visualizing these multi-omics layers as networks, they discover that depletion of butyrate-producing Faecalibacterium correlates with reduced short-chain fatty acid production and elevated inflammatory cytokines. The network reveals compensatory metabolic pathways in remaining taxa and identifies potential probiotic candidates for restoring microbial balance and reducing inflammation.

Related Terms

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