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A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts
The nuclear ribosomal internal transcribed spacer (ITS) region is the most commonly chosen genetic marker for the molecular identification of fungi in environmental sequencing and molecular ecology studies. Several analytical issues complicate such efforts, one of which is the formation of chimeric—...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
the Japanese Society of Microbial Ecology (JSME)/the Japanese Society of Soil Microbiology (JSSM)/the Taiwan Society of Microbial Ecology (TSME)/the Japanese Society of Plant Microbe Interactions (JSPMI)
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462924/ https://www.ncbi.nlm.nih.gov/pubmed/25786896 http://dx.doi.org/10.1264/jsme2.ME14121 |
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author | Nilsson, R. Henrik Tedersoo, Leho Ryberg, Martin Kristiansson, Erik Hartmann, Martin Unterseher, Martin Porter, Teresita M. Bengtsson-Palme, Johan Walker, Donald M. de Sousa, Filipe Gamper, Hannes Andres Larsson, Ellen Larsson, Karl-Henrik Kõljalg, Urmas Edgar, Robert C. Abarenkov, Kessy |
author_facet | Nilsson, R. Henrik Tedersoo, Leho Ryberg, Martin Kristiansson, Erik Hartmann, Martin Unterseher, Martin Porter, Teresita M. Bengtsson-Palme, Johan Walker, Donald M. de Sousa, Filipe Gamper, Hannes Andres Larsson, Ellen Larsson, Karl-Henrik Kõljalg, Urmas Edgar, Robert C. Abarenkov, Kessy |
author_sort | Nilsson, R. Henrik |
collection | PubMed |
description | The nuclear ribosomal internal transcribed spacer (ITS) region is the most commonly chosen genetic marker for the molecular identification of fungi in environmental sequencing and molecular ecology studies. Several analytical issues complicate such efforts, one of which is the formation of chimeric—artificially joined—DNA sequences during PCR amplification or sequence assembly. Several software tools are currently available for chimera detection, but rely to various degrees on the presence of a chimera-free reference dataset for optimal performance. However, no such dataset is available for use with the fungal ITS region. This study introduces a comprehensive, automatically updated reference dataset for fungal ITS sequences based on the UNITE database for the molecular identification of fungi. This dataset supports chimera detection throughout the fungal kingdom and for full-length ITS sequences as well as partial (ITS1 or ITS2 only) datasets. The performance of the dataset on a large set of artificial chimeras was above 99.5%, and we subsequently used the dataset to remove nearly 1,000 compromised fungal ITS sequences from public circulation. The dataset is available at http://unite.ut.ee/repository.php and is subject to web-based third-party curation. |
format | Online Article Text |
id | pubmed-4462924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | the Japanese Society of Microbial Ecology (JSME)/the Japanese Society of Soil Microbiology (JSSM)/the Taiwan Society of Microbial Ecology (TSME)/the Japanese Society of Plant Microbe Interactions (JSPMI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-44629242015-06-19 A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts Nilsson, R. Henrik Tedersoo, Leho Ryberg, Martin Kristiansson, Erik Hartmann, Martin Unterseher, Martin Porter, Teresita M. Bengtsson-Palme, Johan Walker, Donald M. de Sousa, Filipe Gamper, Hannes Andres Larsson, Ellen Larsson, Karl-Henrik Kõljalg, Urmas Edgar, Robert C. Abarenkov, Kessy Microbes Environ Articles The nuclear ribosomal internal transcribed spacer (ITS) region is the most commonly chosen genetic marker for the molecular identification of fungi in environmental sequencing and molecular ecology studies. Several analytical issues complicate such efforts, one of which is the formation of chimeric—artificially joined—DNA sequences during PCR amplification or sequence assembly. Several software tools are currently available for chimera detection, but rely to various degrees on the presence of a chimera-free reference dataset for optimal performance. However, no such dataset is available for use with the fungal ITS region. This study introduces a comprehensive, automatically updated reference dataset for fungal ITS sequences based on the UNITE database for the molecular identification of fungi. This dataset supports chimera detection throughout the fungal kingdom and for full-length ITS sequences as well as partial (ITS1 or ITS2 only) datasets. The performance of the dataset on a large set of artificial chimeras was above 99.5%, and we subsequently used the dataset to remove nearly 1,000 compromised fungal ITS sequences from public circulation. The dataset is available at http://unite.ut.ee/repository.php and is subject to web-based third-party curation. the Japanese Society of Microbial Ecology (JSME)/the Japanese Society of Soil Microbiology (JSSM)/the Taiwan Society of Microbial Ecology (TSME)/the Japanese Society of Plant Microbe Interactions (JSPMI) 2015-06 2015-03-19 /pmc/articles/PMC4462924/ /pubmed/25786896 http://dx.doi.org/10.1264/jsme2.ME14121 Text en Copyright 2015 by Japanese Society of Microbial Ecology / Japanese Society of Soil Microbiology / Taiwan Society of Microbial Ecology / Japanese Society of Plant Microbe Interactions http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Nilsson, R. Henrik Tedersoo, Leho Ryberg, Martin Kristiansson, Erik Hartmann, Martin Unterseher, Martin Porter, Teresita M. Bengtsson-Palme, Johan Walker, Donald M. de Sousa, Filipe Gamper, Hannes Andres Larsson, Ellen Larsson, Karl-Henrik Kõljalg, Urmas Edgar, Robert C. Abarenkov, Kessy A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title | A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title_full | A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title_fullStr | A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title_full_unstemmed | A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title_short | A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts |
title_sort | comprehensive, automatically updated fungal its sequence dataset for reference-based chimera control in environmental sequencing efforts |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462924/ https://www.ncbi.nlm.nih.gov/pubmed/25786896 http://dx.doi.org/10.1264/jsme2.ME14121 |
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