Related Experiment Video
Updated: May 24, 2026
10:24
Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
Published on: August 29, 2014
Analysis of 16S rRNA environmental sequences using MEGAN
Suparna Mitra1, Mario Stärk, Daniel H Huson
1Center for Bioinformatics ZBIT, Tübingen University, Sand 14, 72076 Tübingen, Germany. mitra@informatik.uni-tuebingen.de
BMC Genomics
|February 29, 2012
Summary
This study introduces an extension to the MEGAN tool, enabling integrated analysis of both 16S rRNA amplicon and shotgun metagenomic sequencing data for comprehensive microbial community studies.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- Metagenomics enables the study of uncultured organisms and microbial community diversity.
- Key approaches include 16S rRNA amplicon sequencing and random shotgun sequencing.
- Existing tools often analyze these data types separately.
Purpose of the Study:
- To extend the MEGAN tool for unified analysis of 16S rRNA and shotgun metagenomic data.
- To facilitate integrated insights into microbial community structure and function.
Main Methods:
- Extension of the MEGAN metagenome analysis tool.
- Utilized BLAST for aligning 16S sequences against the SILVA database.
- Integrated SILVA accession numbers with NCBI taxonomy using a synonym file.
Main Results:
- Developed a method to analyze 16S rRNA sequences within the MEGAN framework.
- Enabled combined analysis of amplicon and shotgun sequencing data.
- Demonstrated the utility of MEGAN for comprehensive metagenomic studies.
Conclusions:
- MEGAN 4 integrates analysis of both 16S rRNA and shotgun metagenomic data.
- Provides a unified platform for environmental sample analysis.
- Facilitates a deeper understanding of microbial diversity and function.
Related Concept Videos
01:29Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
02:54Evolutionary Relationships through Genome Comparisons
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...