Mining metadata from unidentified ITS sequences in GenBank: A case study in <Emphasis Type="Italic">Inocybe</Emphasis> (<Emphasis Type="Italic">Basidiomycota</Emphasis>) |
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Authors: | Martin Ryberg R Henrik Nilsson Erik Kristiansson Mats Töpel Stig Jacobsson Ellen Larsson |
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Institution: | 1.Department of Plant and Environmental Sciences,G?teborg University,G?teborg,Sweden;2.Department of Mathematical Statistics,Chalmers University of Technology,G?teborg,Sweden |
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Abstract: | 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. |
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