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Related Experiment Videos

Bacterial flora-typing with targeted, chip-based Pyrosequencing.

Andreas Sundquist1, Saharnaz Bigdeli, Roxana Jalili

  • 1Department of Computer Science, Stanford University, Stanford, CA 94305, USA. asundqui@cs.stanford.edu

BMC Microbiology
|December 1, 2007
PubMed
Summary
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We developed a method for analyzing microbial communities using short-read sequencing of the 16S rRNA gene. This approach accurately classifies bacterial content and identifies optimal sequencing regions, advancing metagenomic analysis.

Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Metagenomic analysis of microbial communities offers insights into their role in health and disease.
  • Advancements in DNA sequencing enable individual-level analysis but often yield shorter read lengths.
  • Shorter reads limit the discriminatory power for classifying microbial content, particularly for the 16S rRNA gene.

Purpose of the Study:

  • To develop and validate a method for phylogenetic classification of bacterial samples using high-throughput Pyrosequencing.
  • To adapt analysis for shorter read lengths inherent in current sequencing technologies.
  • To assess the impact of read length and database completeness on classification accuracy.

Main Methods:

  • Utilized high-throughput Pyrosequencing targeting the 16S rRNA gene.

Related Experiment Videos

  • Developed an analysis method adapted for short read lengths.
  • Employed a 16S rDNA database for specific phylogenetic classification, generating weighted phylogenetic trees.
  • Conducted simulation experiments to evaluate classification power and impact of read length and database completeness.
  • Investigated the utility of targeting specific 16S variable regions.

    • Main Results:

    • Successfully classified the phylogenetic content of six human vaginal samples, corroborating previous findings.
    • Simulation experiments demonstrated the method's power to classify reads at various phylogenetic levels.
    • Assessed the influence of read length and database completeness, predicting performance with technological improvements.
    • Identified specific 16S variable regions that considerably improve results for certain microbial samples.

    Conclusions:

    • Validated the effectiveness of short-read sequencing for targeting 16S metagenomes.
    • The methodology enables precise sequence read assignment within phylogenies and identification of optimal variable regions.
    • Accelerates the study of host-microbe relationships through high-throughput analysis of human flora.