4.2 Article

Fungal identification using a Bayesian classifier and the Warcup training set of internal transcribed spacer sequences

期刊

MYCOLOGIA
卷 108, 期 1, 页码 1-5

出版社

ALLEN PRESS INC
DOI: 10.3852/14-293

关键词

Ecogenome; fungal classification; fungi; identification; ITS

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资金

  1. US Department of Energy, Office of Science, Biological and Environmental Research Division through a Science Focus Area grant [2009LANLF260]
  2. Office of Science (Biological and Environmental Research)
  3. US Department of Energy [DE-FG02-99ER62848, DE-SC0010715, DE-FC02-07ER64494]
  4. CSIRO office of the chief executive through an OCE honors scholarship

向作者/读者索取更多资源

Fungi are key organisms in many ecological processes and communities. Rapid and low cost surveys of the fungal members of a community can be undertaken by isolating and sequencing a taxonomically informative genomic region, such as the ITS (internal transcribed spacer), from DNA extracted from a meta-genomic sample, and then classifying these sequences to determine which organisms are present. This paper announces the availability of the Warcup ITS training set and shows how it can be used with the Ribosomal Database Project (RDP) Bayesian Classifier to rapidly and accurately identify fungi using ITS sequences. The classifications can be down to species level and use conventional literature-based mycological nomenclature and taxonomic assignments.

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