Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi
Author(s) -
Conrad L. Schoch,
Barbara Robbertse,
Vincent Robert,
Duong Vu,
Gianluigi Cardinali,
László Irinyi,
Wieland Meyer,
R. Henrik Nilsson,
Karen W. Hughes,
Andrew N. Miller,
Paul M. Kirk,
Kessy Abarenkov,
M. Catherine Aime,
Hiran A. Ariyawansa,
Martin I. Bidartondo,
T. Boekhout,
Bart Buyck,
Qing Cai,
Jie Chen,
Ana Crespo,
P.W. Crous,
Ulrike Damm,
Z. Wilhelm de Beer,
Bryn T. M. Dentinger,
Pradeep K. Divakar,
Margarita Dueñas,
Nicolas Feau,
K. Fliegerová,
Miguel Á. García,
Zhenyu Ge,
Gareth Griffith,
J.Z. Groenewald,
Marizeth Groenewald,
M. Grube,
Marieka Gryzenhout,
C. Gueidan,
LiangDong Guo,
Sarah Hambleton,
Richard C. Hamelin,
K. Hansen,
Valérie Hofstetter,
SeungBeom Hong,
Jos Houbraken,
Kevin D. Hyde,
Patrik Inderbitzin,
Peter R. Johnston,
Samantha C. Karunarathna,
Urmas Kõljalg,
Gábor M. Kovács,
Ekaphan Kraichak,
Krisztina Krizsán,
Cletus P. Kurtzman,
KarlHenrik Larsson,
Steven W. Leavitt,
Peter M. Letcher,
Kare Liimatainen,
JianKui Liu,
D. J. Lodge,
Janet Jennifer Luangsa-ard,
H. Thorsten Lumbsch,
Sajeewa S. N. Maharachchikumbura,
Dimuthu S. Manamgoda,
María P. Martín,
Andrew M. Minnis,
Jean Marc Moncalvo,
Giuseppina Mulè,
Karen K. Nakasone,
Tuula Niskanen,
Ibai Olariaga,
Tamás Papp,
Tamás Petkovits,
Raquel PinoBodas,
Martha J. Powell,
Huzefa A. Raja,
Dirk Redecker,
Jullie M. Sarmiento-Ramírez,
Keith A. Seifert,
Bhushan Shrestha,
Soili Stenroos,
J. Benjamin Stielow,
SungOui Suh,
Kazuaki Tanaka,
Leho Tedersoo,
Ireneia Melo,
Dhanushka Udayanga,
Wendy A. Untereiner,
Javier DiéguezUribeondo,
Krishna V. Subbarao,
Csaba Vágvölgyi,
Cobus M. Visagie,
Kerstin Voigt,
D. M. Walker,
Bevan Weir,
Michael Weiß,
Nalin N. Wijayawardene,
Michael J. Wingfield,
Min Xu,
Zuoren Yang,
Ning Zhang,
Wen-Ying Zhuang,
Scott Federhen
Publication year - 2014
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/bau061
Subject(s) - refseq , biology , phylogenetic tree , identification (biology) , dna sequencing , cistron , computational biology , ribosomal dna , internal transcribed spacer , information retrieval , genome , computer science , genetics , dna , gene , ecology , escherichia coli
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-annotating a set of marker reference sequences that represent each currently accepted order of Fungi. The particular focus is on sequences from the internal transcribed spacer region in the nuclear ribosomal cistron, derived from type specimens and/or ex-type cultures. Re-annotated and verified sequences were deposited in a curated public database at the National Center for Biotechnology Information (NCBI), namely the RefSeq Targeted Loci (RTL) database, and will be visible during routine sequence similarity searches with NR_prefixed accession numbers. A set of standards and protocols is proposed to improve the data quality of new sequences, and we suggest how type and other reference sequences can be used to improve identification of Fungi. Database URL: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA177353.
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