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The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

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The SILVA database offers quality-controlled ribosomal RNA (rRNA) gene sequences for Bacteria, Archaea, and Eukaryota. It features advanced tools and curated taxonomy for next-generation sequencing classification.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Ribosomal RNA (rRNA) gene sequences are crucial for microbial community analysis.
  • Comprehensive, quality-controlled databases are essential for accurate taxonomic classification.
  • The SILVA resource provides aligned rRNA gene sequences across major domains of life.

Purpose of the Study:

  • To present the updated SILVA database (release 111) and its new features.
  • To highlight the utility of SILVA for high-throughput sequencing data analysis.
  • To provide an optimized web resource for accessing and utilizing rRNA gene sequence data.

Main Methods:

  • Database curation and quality control of aligned rRNA gene sequences.
  • Development of an improved rRNA gene aligner.
  • Implementation of online tools for probe and primer evaluation.
  • Optimization of website for browsing, searching, and downloading data.

Main Results:

  • Release 111 contains over 3.1 million small subunit and 288,000 large subunit rRNA gene sequences.
  • Introduction of advanced quality control and an improved aligner.
  • Enhanced SILVA taxonomy and non-redundant datasets for classification.
  • Optimized web interface for user accessibility.

Conclusions:

  • The SILVA database is a vital, up-to-date resource for microbial ecology and genomics.
  • Its curated data and advanced tools facilitate accurate taxonomic assignment.
  • SILVA serves as an ideal reference for next-generation sequencing classification projects.