Accurate determination of microbial diversity from 454 pyrosequencing data

Quince, Christopher, Lanzén, Anders, Curtis, Thomas P., Davenport, Russell J., Hall, Neil ORCID:, Head, Ian M., Read, L. Fiona and Sloan, William T. (2009) Accurate determination of microbial diversity from 454 pyrosequencing data. Nature Methods, 6 (9). pp. 639-641. ISSN 1548-7091

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We present an algorithm, PyroNoise, that clusters the flowgrams of 454 pyrosequencing reads using a distance measure that models sequencing noise. This infers the true sequences in a collection of amplicons. We pyrosequenced a known mixture of microbial 16S rDNA sequences extracted from a lake and found that without noise reduction the number of operational taxonomic units is overestimated but using PyroNoise it can be accurately calculated.

Item Type: Article
Additional Information: Funding Information: We thank K. Ashelford (University of Liverpool) for the preliminary bioinformatics analysis of the sequencing data and for making the Mallard code publicly available, S. Huse (Marine Biological Laboratory, Woods Hole) for providing the quickdist algorithm and R. Knight for commenting on the manuscript. C.Q. is supported by a Lord Kelvin Glasgow University fellowship, W.T.S. by an Engineering and Physical Sciences Research Council Advanced Fellowship, R.J.D. by a Royal Society fellowship. The Natural Environment Research Council funded sequencing.
Uncontrolled Keywords: biotechnology,biochemistry,molecular biology,cell biology ,/dk/atira/pure/subjectarea/asjc/1300/1305
Faculty \ School: Faculty of Science > School of Biological Sciences
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Depositing User: LivePure Connector
Date Deposited: 12 Sep 2022 11:30
Last Modified: 20 Oct 2022 19:32
DOI: 10.1038/nmeth.1361

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