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      Mining metadata from unidentified ITS sequences in GenBank: A case study in Inocybe ( Basidiomycota)

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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.

          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.

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          Most cited references47

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          Phylogenetic distribution and evolution of mycorrhizas in land plants.

          A survey of 659 papers mostly published since 1987 was conducted to compile a checklist of mycorrhizal occurrence among 3,617 species (263 families) of land plants. A plant phylogeny was then used to map the mycorrhizal information to examine evolutionary patterns. Several findings from this survey enhance our understanding of the roles of mycorrhizas in the origin and subsequent diversification of land plants. First, 80 and 92% of surveyed land plant species and families are mycorrhizal. Second, arbuscular mycorrhiza (AM) is the predominant and ancestral type of mycorrhiza in land plants. Its occurrence in a vast majority of land plants and early-diverging lineages of liverworts suggests that the origin of AM probably coincided with the origin of land plants. Third, ectomycorrhiza (ECM) and its derived types independently evolved from AM many times through parallel evolution. Coevolution between plant and fungal partners in ECM and its derived types has probably contributed to diversification of both plant hosts and fungal symbionts. Fourth, mycoheterotrophy and loss of the mycorrhizal condition also evolved many times independently in land plants through parallel evolution.
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            SEAVIEW and PHYLO_WIN: two graphic tools for sequence alignment and molecular phylogeny.

            SEAVIEW and PHYLO_WIN are two graphic tools for X Windows-Unix computers dedicated to sequence alignment and molecular phylogenetics. SEAVIEW is a sequence alignment editor allowing manual or automatic alignment through an interface with CLUSTALW program. Alignment of large sequences with extensive length differences is made easier by a dot-plot-based routine. The PHYLO_WIN program allows phylogenetic tree building according to most usual methods (neighbor joining with numerous distance estimates, maximum parsimony, maximum likelihood), and a bootstrap analysis with any of them. Reconstructed trees can be drawn, edited, printed, stored, evaluated according to numerous criteria. Taxonomic species groups and sets of conserved regions can be defined by mouse and stored into sequence files, thus avoiding multiple data files. Both tools are entirely mouse driven. On-line help makes them easy to use. They are freely available by anonymous ftp at biom3.univ-lyon1.fr/pub/ mol_phylogeny or http:@acnuc.univ-lyon1.fr/, or by e-mail to galtier@biomserv.univ-lyon1.fr.
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              Improving phylogenetic inference of mushrooms with RPB1 and RPB2 nucleotide sequences (Inocybe; Agaricales).

              P. Matheny (2005)
              Approximately 3000 bp across 84 taxa have been analyzed for variable regions of RPB1, RPB2, and nLSU-rDNA to infer phylogenetic relationships in the large ectomycorrhizal mushroom genus Inocybe (Agaricales; Basidiomycota). This study represents the first effort to combine variable regions of RPB1 and RPB2 with nLSU-rDNA for low-level phylogenetic studies in mushroom-forming fungi. Combination of the three loci increases non-parametric bootstrap support, Bayesian posterior probabilities, and resolution for numerous clades compared to separate gene analyses. These data suggest the evolution of at least five major lineages in Inocybe-the Inocybe clade, the Mallocybe clade, the Auritella clade, the Inosperma clade, and the Pseudosperma clade. Additionally, many clades nested within each major lineage are strongly supported. These results also suggest the family Crepiodataceae sensu stricto is sister to Inocybe. Recognition of Inocybe at the family level, the Inocybaceae, is recommended.
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                Author and article information

                Journal
                BMC Evol Biol
                BMC Evolutionary Biology
                BioMed Central
                1471-2148
                2008
                18 February 2008
                : 8
                : 50
                Affiliations
                [1 ]Department of Plant and Environmental Sciences, Göteborg University, Box 461, 405 30 Göteborg, Sweden
                [2 ]Department of Mathematical Statistics, Chalmers University of Technology, Göteborg, Sweden
                Article
                1471-2148-8-50
                10.1186/1471-2148-8-50
                2275786
                18282272
                883565c5-89bb-4960-aed9-65cd6deaf4c2
                Copyright © 2008 Ryberg et al; licensee BioMed Central Ltd.

                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.

                History
                : 16 June 2007
                : 18 February 2008
                Categories
                Research Article

                Evolutionary Biology
                Evolutionary Biology

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