Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi

@article{Schoch2014FindingNI,
  title={Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi},
  author={C. Schoch and B. Robbertse and V. Robert and D. Vu and G. Cardinali and L. Irinyi and W. Meyer and R. H. Nilsson and K. Hughes and A. Miller and P. Kirk and K. Abarenkov and M. C. Aime and H. Ariyawansa and M. Bidartondo and T. Boekhout and B. Buyck and Q. Cai and J. Chen and A. Crespo and P. Crous and U. Damm and Z. W. D. Beer and B. Dentinger and P. Divakar and M. Due{\~n}as and N. Feau and K. Fliegerov{\'a} and M. Garc{\'i}a and Z. Ge and G. W. Griffith and J. Z. Groenewald and M. Groenewald and M. Grube and M. Gryzenhout and C. Gueidan and Liangdong Guo and S. Hambleton and R. Hamelin and K. Hansen and V. Hofstetter and Seung-Beom Hong and J. Houbraken and K. Hyde and P. Inderbitzin and P. Johnston and S. Karunarathna and U. K{\~o}ljalg and G. Kov{\'a}cs and Ekaphan Kraichak and K. Krizsan and C. Kurtzman and K. Larsson and S. Leavitt and Peter M. Letcher and K. Liimatainen and Jian-Kui Liu and D. J. Lodge and J. Luangsa-ard and H. Lumbsch and S. Maharachchikumbura and D. Manamgoda and Mar{\'i}a P. Mart{\'i}n and A. M. Minnis and J. Moncalvo and G. Mul{\`e} and K. Nakasone and T. Niskanen and I. Olariaga and T. Papp and T. Petkovits and R. Pino-Bodas and M. Powell and H. Raja and D. Redecker and J. M. Sarmiento-Ramirez and K. Seifert and B. Shrestha and S. Stenroos and B. Stielow and S. Suh and Kazuaki Tanaka and L. Tedersoo and M. T. Telleria and D. Udayanga and W. Untereiner and Javier Di{\'e}guez Uribeondo and K. Subbarao and C. V{\'a}gv{\"o}lgyi and C. Visagie and K. Voigt and D. Walker and Bevan Simon Weir and M. Wei{\ss} and N. N. Wijayawardene and M. Wingfield and J. P. Xu and Zhu-Liang Yang and Ning Zhang and W. Zhuang and S. Federhen},
  journal={Database: The Journal of Biological Databases and Curation},
  year={2014},
  volume={2014}
}
DNA phylogenetic comparisons have shown that morphology-based species recognition often underestimates fungal diversity. Therefore, the need for accurate DNA sequence data, tied to both correct taxonomic names and clearly annotated specimen data, has never been greater. Furthermore, the growing number of molecular ecology and microbiome projects using high-throughput sequencing require fast and effective methods for en masse species assignments. In this article, we focus on selecting and re… Expand
Improving taxonomic accuracy for fungi in public sequence databases: applying ‘one name one species’ in well-defined genera with Trichoderma/Hypocrea as a test case
Improving ITS sequence data for identification of plant pathogenic fungi
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References

SHOWING 1-10 OF 119 REFERENCES
Reference databases for taxonomic assignment in metagenomics
UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi.
Towards a unified paradigm for sequence‐based identification of fungi
CREST – Classification Resources for Environmental Sequence Tags
PlutoF—a Web Based Workbench for Ecological and Taxonomic Research, with an Online Implementation for Fungal ITS Sequences
...
1
2
3
4
5
...