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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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Quantitative analysis of a deeply sequenced marine microbial metatranscriptome.

Scott M Gifford1, Shalabh Sharma, Johanna M Rinta-Kanto

  • 1Department of Marine Sciences, University of Georgia, Athens, GA 30602-3636, USA.

The ISME Journal
|September 17, 2010
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Summary

Metatranscriptomic sequencing offers insights into microbial activity but requires deep sequencing for accurate expression analysis. This study introduces an internal standard method for absolute transcript quantification in marine environments.

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Area of Science:

  • Marine microbiology
  • Metatranscriptomics
  • Environmental genomics

Background:

  • Metatranscriptomic sequencing's utility hinges on library depth and statistical power for detecting expression differences.
  • Proportional estimates of gene expression can be misleading due to variations in unrelated genes.
  • Absolute quantification of microbial gene expression is crucial for understanding environmental regulation.

Purpose of the Study:

  • To develop and apply an internal standard approach for absolute transcript number estimation in marine bacterioplankton.
  • To assess the depth and coverage of sequencing libraries for microbial community expression.
  • To evaluate the statistical power for detecting differential gene expression in marine microbial communities.

Main Methods:

  • Utilized an internal standard method for absolute transcript quantification (per liter).
  • Employed 454 FLX pyrosequencing on bacterioplankton libraries from coastal waters.
  • Analyzed expression levels of 82 genes involved in marine nitrogen, phosphorus, and sulfur cycles.

Main Results:

  • Coastal waters contain approximately 1 × 10^12 bacterioplankton mRNA molecules per liter.
  • Sequencing depth achieved was 0.00001%, with library sizes around 500,000 protein-encoding sequences.
  • Gene expression varied widely, from <1 × 10^6 transcripts/L to >2.7 × 10^9 transcripts/L.
  • Half of detected expression categories lacked sufficient copy numbers for robust statistical resolution.

Conclusions:

  • Absolute quantification of microbial gene expression using 'omics' data can enhance understanding of ocean processes.
  • Current sequencing depths and statistical power may limit comparative expression studies in complex marine environments.
  • Standardized absolute quantification is essential for leveraging 'omics' data to study microbially mediated ocean processes.