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Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
13:51

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Published on: February 18, 2009

Gene expression profiling: metatranscriptomics.

Jack A Gilbert1, Margaret Hughes

  • 1Plymouth Marine Laboratory, The Hoe, Plymouth, UK. jagi@pml.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|March 25, 2011
PubMed
Summary
This summary is machine-generated.

Metatranscriptomics analyzes active microbial communities by examining RNA. This method tracks how microbial populations respond to rapid environmental shifts, offering insights beyond static genetic snapshots.

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Last Updated: Jun 3, 2026

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
13:51

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Published on: February 18, 2009

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
10:56

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

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Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Area of Science:

  • Environmental microbiology
  • Molecular ecology

Background:

  • Metagenomics offers a static view of microbial communities.
  • Understanding dynamic community responses to environmental changes requires analyzing active gene expression.

Purpose of the Study:

  • To detail protocols for metatranscriptomics, focusing on environmental RNA analysis.
  • To provide a comprehensive guide for studying active microbial communities in diverse ecosystems.

Main Methods:

  • Outlines sampling protocols for soil and seawater environments.
  • Describes RNA extraction techniques and messenger RNA (mRNA) enrichment methods.
  • Details a bioinformatic pipeline for metatranscriptomic data analysis.

Main Results:

  • Establishes a framework for investigating microbial community dynamics through RNA analysis.
  • Demonstrates the applicability of metatranscriptomics in diverse environments like soil and seawater.
  • Provides a method for analyzing the active fraction of microbial communities.

Conclusions:

  • Metatranscriptomics is crucial for understanding microbial community responses to short-term environmental changes.
  • The outlined protocols facilitate the study of active microbial life in various ecosystems.
  • This approach enhances ecological insights by focusing on actively transcribed genes.