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Pyrosequencing for Microbial Identification and Characterization
Published on: August 22, 2013
Accurate determination of microbial diversity from 454 pyrosequencing data
Christopher Quince1, Anders Lanzén, Thomas P Curtis
1Department of Civil Engineering, Rankine Building, University of Glasgow, Glasgow, UK. quince@civil.gla.ac.uk
Nature Methods
|August 12, 2009
Summary
PyroNoise accurately calculates microbial operational taxonomic units by clustering 454 pyrosequencing flowgrams. This algorithm models sequencing noise to infer true sequences, improving accuracy in microbial community analysis.
Area of Science:
- Bioinformatics
- Microbial Ecology
- Genomics
Background:
- Next-generation sequencing, such as 454 pyrosequencing, is crucial for microbial community analysis.
- Sequencing errors, or noise, can lead to inaccurate estimations of microbial diversity.
- Operational taxonomic units (OTUs) are commonly used to represent microbial species diversity.
Purpose of the Study:
- To develop and present PyroNoise, a novel algorithm for clustering 454 pyrosequencing flowgrams.
- To accurately infer true amplicon sequences by modeling sequencing noise.
- To improve the calculation of operational taxonomic units (OTUs) in microbial communities.
Main Methods:
- Developed PyroNoise, an algorithm utilizing a novel distance measure for flowgram clustering.
- Applied PyroNoise to 454 pyrosequencing data from a known mixture of microbial 16S rDNA sequences.
- Compared OTU calculations with and without PyroNoise noise reduction.
Main Results:
- PyroNoise effectively clusters flowgrams by modeling sequencing noise.
- Without noise reduction, the number of OTUs was overestimated.
- PyroNoise enabled accurate calculation of OTUs from the pyrosequenced microbial mixture.
Conclusions:
- PyroNoise provides a robust method for reducing sequencing noise in 454 pyrosequencing data.
- Accurate OTU determination is essential for reliable microbial community profiling.
- This algorithm enhances the precision of microbial diversity assessments.
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