Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Schoch CL 

PROVIDER: S-EPMC4075928 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Schoch Conrad L CL   Robbertse Barbara B   Robert Vincent V   Vu Duong D   Cardinali Gianluigi G   Irinyi Laszlo L   Meyer Wieland W   Nilsson R Henrik RH   Hughes Karen K   Miller Andrew N AN   Kirk Paul M PM   Abarenkov Kessy K   Aime M Catherine MC   Ariyawansa Hiran A HA   Bidartondo Martin M   Boekhout Teun T   Buyck Bart B   Cai Qing Q   Chen Jie J   Crespo Ana A   Crous Pedro W PW   Damm Ulrike U   De Beer Z Wilhelm ZW   Dentinger Bryn T M BT   Divakar Pradeep K PK   Dueñas Margarita M   Feau Nicolas N   Fliegerova Katerina K   García Miguel A MA   Ge Zai-Wei ZW   Griffith Gareth W GW   Groenewald Johannes Z JZ   Groenewald Marizeth M   Grube Martin M   Gryzenhout Marieka M   Gueidan Cécile C   Guo Liangdong L   Hambleton Sarah S   Hamelin Richard R   Hansen Karen K   Hofstetter Valérie V   Hong Seung-Beom SB   Houbraken Jos J   Hyde Kevin D KD   Inderbitzin Patrik P   Johnston Peter R PR   Karunarathna Samantha C SC   Kõljalg Urmas U   Kovács Gábor M GM   Kraichak Ekaphan E   Krizsan Krisztina K   Kurtzman Cletus P CP   Larsson Karl-Henrik KH   Leavitt Steven S   Letcher Peter M PM   Liimatainen Kare K   Liu Jian-Kui JK   Lodge D Jean DJ   Luangsa-ard Janet Jennifer JJ   Lumbsch H Thorsten HT   Maharachchikumbura Sajeewa S N SS   Manamgoda Dimuthu D   Martín María P MP   Minnis Andrew M AM   Moncalvo Jean-Marc JM   Mulè Giuseppina G   Nakasone Karen K KK   Niskanen Tuula T   Olariaga Ibai I   Papp Tamás T   Petkovits Tamás T   Pino-Bodas Raquel R   Powell Martha J MJ   Raja Huzefa A HA   Redecker Dirk D   Sarmiento-Ramirez J M JM   Seifert Keith A KA   Shrestha Bhushan B   Stenroos Soili S   Stielow Benjamin B   Suh Sung-Oui SO   Tanaka Kazuaki K   Tedersoo Leho L   Telleria M Teresa MT   Udayanga Dhanushka D   Untereiner Wendy A WA   Diéguez Uribeondo Javier J   Subbarao Krishna V KV   Vágvölgyi Csaba C   Visagie Cobus C   Voigt Kerstin K   Walker Donald M DM   Weir Bevan S BS   Weiß Michael M   Wijayawardene Nalin N NN   Wingfield Michael J MJ   Xu J P JP   Yang Zhu L ZL   Zhang Ning N   Zhuang Wen-Ying WY   Federhen Scott S  

Database : the journal of biological databases and curation 20140630


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-anno  ...[more]

Similar Datasets

| S-EPMC7880292 | biostudies-literature
| S-EPMC4741226 | biostudies-other
| S-EPMC1915608 | biostudies-other
| S-EPMC4741222 | biostudies-other
| S-EPMC5446698 | biostudies-literature
| S-EPMC9381765 | biostudies-literature
| S-EPMC4172526 | biostudies-literature
| S-EPMC4342825 | biostudies-literature
| S-EPMC2267407 | biostudies-other
| PRJNA985054 | ENA