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Related Experiment Video

Updated: Dec 12, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Holo-Omics: Integrated Host-Microbiota Multi-omics for Basic and Applied Biological Research.

Lasse Nyholm1, Adam Koziol1, Sofia Marcos2

  • 1Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen 1353, Denmark.

Iscience
|August 11, 2020
PubMed
Summary
This summary is machine-generated.

The holo-omic approach integrates multi-omic data from hosts and microbes to understand their interactions. This strategy enhances discoveries in various scientific fields by untangling complex host-microbe relationships.

Keywords:
Evolutionary BiologyMicrobiome

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Area of Science:

  • Microbiology
  • Systems Biology
  • Genomics

Background:

  • Host-microbe interactions are crucial for organismal phenotypes from development to health.
  • Multi-omic data from hosts and microbes offer insights into these complex relationships.
  • Effective study design is needed for efficient data generation and integration.

Purpose of the Study:

  • To introduce and define the holo-omic approach for studying host-microbe interactions.
  • To review current literature and discuss the implementation of the holo-omic strategy.
  • To highlight the potential of holo-omics in advancing scientific research.

Main Methods:

  • Integrating multi-omic data including (meta)genomics, (meta)transcriptomics, (meta)proteomics, and (meta)metabolomics.
  • Analyzing bidirectional interactions between host organisms and their associated microbiota.
  • Revisiting and discussing existing literature on biomolecular host-microbe interactions.

Main Results:

  • The holo-omic approach provides a framework for comprehensive host-microbe interaction analysis.
  • Current literature demonstrates the feasibility of combining diverse omic datasets.
  • Limitations in data integration and study design are identified.

Conclusions:

  • The holo-omic approach is a powerful strategy for untangling host-microbe interplay.
  • Application of holo-omics promises new discoveries in biomedicine, agriculture, and ecology.
  • Further development in study design and data integration will enhance the utility of holo-omics.