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Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota)
BACKGROUND: The lack of reference sequences from well-identified mycorrhizal fungi often poses a challenge to the inference of taxonomic affiliation of sequences from environmental samples, and many environmental sequences are thus left unidentified. Such unidentified sequences belonging to the wide...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275786/ https://www.ncbi.nlm.nih.gov/pubmed/18282272 http://dx.doi.org/10.1186/1471-2148-8-50 |
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author | Ryberg, Martin Nilsson, R Henrik Kristiansson, Erik Töpel, Mats Jacobsson, Stig Larsson, Ellen |
author_facet | Ryberg, Martin Nilsson, R Henrik Kristiansson, Erik Töpel, Mats Jacobsson, Stig Larsson, Ellen |
author_sort | Ryberg, Martin |
collection | PubMed |
description | BACKGROUND: The lack of reference sequences from well-identified mycorrhizal fungi often poses a challenge to the inference of taxonomic affiliation of sequences from environmental samples, and many environmental sequences are thus left unidentified. Such unidentified sequences belonging to the widely distributed ectomycorrhizal fungal genus Inocybe (Basidiomycota) were retrieved from GenBank and divided into species that were identified in a phylogenetic context using a reference dataset from an ongoing study of the genus. The sequence metadata of the unidentified Inocybe sequences stored in GenBank, as well as data from the corresponding original papers, were compiled and used to explore the ecology and distribution of the genus. In addition, the relative occurrence of Inocybe was contrasted to that of other mycorrhizal genera. RESULTS: Most species of Inocybe were found to have less than 3% intraspecific variability in the ITS2 region of the nuclear ribosomal DNA. This cut-off value was used jointly with phylogenetic analysis to delimit and identify unidentified Inocybe sequences to species level. A total of 177 unidentified Inocybe ITS sequences corresponding to 98 species were recovered, 32% of which were successfully identified to species level in this study. These sequences account for an unexpectedly large proportion of the publicly available unidentified fungal ITS sequences when compared with other mycorrhizal genera. Eight Inocybe species were reported from multiple hosts and some even from hosts forming arbutoid or orchid mycorrhizae. Furthermore, Inocybe sequences have been reported from four continents and in climate zones ranging from cold temperate to equatorial climate. Out of the 19 species found in more than one study, six were found in both Europe and North America and one was found in both Europe and Japan, indicating that at least many north temperate species have a wide distribution. CONCLUSION: Although DNA-based species identification and circumscription are associated with practical and conceptual difficulties, they also offer new possibilities and avenues for research. Metadata assembly holds great potential to synthesize valuable information from community studies for use in a species and taxonomy-oriented framework. |
format | Text |
id | pubmed-2275786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22757862008-03-28 Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) Ryberg, Martin Nilsson, R Henrik Kristiansson, Erik Töpel, Mats Jacobsson, Stig Larsson, Ellen BMC Evol Biol Research Article BACKGROUND: The lack of reference sequences from well-identified mycorrhizal fungi often poses a challenge to the inference of taxonomic affiliation of sequences from environmental samples, and many environmental sequences are thus left unidentified. Such unidentified sequences belonging to the widely distributed ectomycorrhizal fungal genus Inocybe (Basidiomycota) were retrieved from GenBank and divided into species that were identified in a phylogenetic context using a reference dataset from an ongoing study of the genus. The sequence metadata of the unidentified Inocybe sequences stored in GenBank, as well as data from the corresponding original papers, were compiled and used to explore the ecology and distribution of the genus. In addition, the relative occurrence of Inocybe was contrasted to that of other mycorrhizal genera. RESULTS: Most species of Inocybe were found to have less than 3% intraspecific variability in the ITS2 region of the nuclear ribosomal DNA. This cut-off value was used jointly with phylogenetic analysis to delimit and identify unidentified Inocybe sequences to species level. A total of 177 unidentified Inocybe ITS sequences corresponding to 98 species were recovered, 32% of which were successfully identified to species level in this study. These sequences account for an unexpectedly large proportion of the publicly available unidentified fungal ITS sequences when compared with other mycorrhizal genera. Eight Inocybe species were reported from multiple hosts and some even from hosts forming arbutoid or orchid mycorrhizae. Furthermore, Inocybe sequences have been reported from four continents and in climate zones ranging from cold temperate to equatorial climate. Out of the 19 species found in more than one study, six were found in both Europe and North America and one was found in both Europe and Japan, indicating that at least many north temperate species have a wide distribution. CONCLUSION: Although DNA-based species identification and circumscription are associated with practical and conceptual difficulties, they also offer new possibilities and avenues for research. Metadata assembly holds great potential to synthesize valuable information from community studies for use in a species and taxonomy-oriented framework. BioMed Central 2008-02-18 /pmc/articles/PMC2275786/ /pubmed/18282272 http://dx.doi.org/10.1186/1471-2148-8-50 Text en Copyright ©2008 Ryberg et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ryberg, Martin Nilsson, R Henrik Kristiansson, Erik Töpel, Mats Jacobsson, Stig Larsson, Ellen Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title | Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title_full | Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title_fullStr | Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title_full_unstemmed | Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title_short | Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe (Basidiomycota) |
title_sort | mining metadata from unidentified its sequences in genbank: a case study in inocybe (basidiomycota) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275786/ https://www.ncbi.nlm.nih.gov/pubmed/18282272 http://dx.doi.org/10.1186/1471-2148-8-50 |
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