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Metatranscriptomics for the Human Microbiome and Microbial Community Functional Profiling.

Yancong Zhang1,2, Kelsey N Thompson1,2, Tobyn Branck1,2,3

  • 1Harvard Chan Microbiome in Public Health Center and Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, USA; email: franzosa@hsph.harvard.edu, chuttenh@hsph.harvard.edu.

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Summary
This summary is machine-generated.

Shotgun metatranscriptomics (MTX) reveals microbial gene function and regulation. This review covers MTX methods, applications in diverse microbiomes, and future challenges for this powerful research tool.

Keywords:
RNA-seqfunctional activitymeta-omicsmetatranscriptome

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Shotgun metatatranscriptomics (MTX) is a key method for studying microbial communities.
  • Understanding microbial gene expression is crucial for various biological and environmental systems.

Purpose of the Study:

  • To provide a comprehensive review of contemporary shotgun metatranscriptomics (MTX) workflows.
  • To highlight key biological findings and applications of MTX across different environments.
  • To identify current challenges and future directions in the field.

Main Methods:

  • Review of laboratory methods for RNA isolation and sequencing.
  • Exploration of bioinformatics pipelines for RNA quantification and analysis.
  • Discussion of statistical approaches for differential gene expression analysis in microbial communities.

Main Results:

  • MTX is valuable for investigating microbe-microbe and host-microbe interactions.
  • Applications include understanding energy dynamics, chemical cycling, and stress responses.
  • Examples span human microbiome, other host-associated microbiomes, and environmental settings.

Conclusions:

  • MTX offers powerful insights into microbial community functions and regulations.
  • Addressing challenges in robustness, accessibility, and data interpretation is essential.
  • Future work includes biomarker discovery and therapeutic development.