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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Omics in gut microbiome analysis.

Tae Woong Whon1, Na-Ri Shin2, Joon Yong Kim1

  • 1Microbiology and Functionality Research Group, World Institute of Kimchi, Gwangju, 61755, Republic of Korea.

Journal of Microbiology (Seoul, Korea)
|February 24, 2021
PubMed
Summary
This summary is machine-generated.

Advances in environmental microbial genomics enhance our understanding of gut microbiome interactions. This review covers omics approaches and analytics for interpreting complex gut microbiome data.

Keywords:
gut microbiomemetabolomemetagenomemetataxonomemetatranscriptomeomics

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Environmental microbial genomics has advanced the study of host-gut microbial interactions.
  • Integrating multi-omics data for gut microbiome research is common but analysis remains challenging.

Purpose of the Study:

  • To review omics approaches for gut microbiome analysis.
  • To discuss analytics for multi-omics data integration and interpretation.
  • To explore advanced techniques for evaluating gut microbiome characteristics.

Main Methods:

  • Review of studies utilizing metagenomics, metatransAaxonomics, metatranscriptomics, and metabolomics.
  • Discussion of analytical programs for multi-omics data integration.
  • Exploration of advanced techniques like adaptive immune receptor repertoire sequencing, culturomics, and machine learning.

Main Results:

  • Omics approaches provide insights into gut microbiome signatures.
  • Analytical tools are emerging for complex multi-omics data.
  • Integration with other techniques enhances microbiome characterization.

Conclusions:

  • Multi-omics data analysis is crucial for understanding gut microbiome functions.
  • Advanced computational and experimental techniques are key to future microbiome research.
  • Continued development in analytics will improve interpretation of gut microbiome data.