EukRef-excavates: seven curated SSU ribosomal RNA gene databases
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901425" target="_blank" >RIV/60076658:12310/20:43901425 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60077344:_____/20:00538274 RIV/00216208:11310/20:10419237
Výsledek na webu
<a href="http://fdslive.oup.com/www.oup.com/pdf/production_in_progress.pdf" target="_blank" >http://fdslive.oup.com/www.oup.com/pdf/production_in_progress.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/database/baaa080" target="_blank" >10.1093/database/baaa080</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
EukRef-excavates: seven curated SSU ribosomal RNA gene databases
Popis výsledku v původním jazyce
The small subunit ribosomal RNA (SSU rRNA) gene is a widely used molecular marker to study the diversity of life. Sequencing of SSU rRNA gene amplicons has become a standard approach for the investigation of the ecology and diversity of microbes. However, a well-curated database is necessary for correct classification of these data. While available for many groups of Bacteria and Archaea, such reference databases are absent for most eukaryotes. The primary goal of the EukRef project (eukref.org ) is to close this gap and generate well-curated reference databases for major groups of eukaryotes, especially protists. Here we present a set of EukRef-curated databases for the excavate protists-a large assemblage that includes numerous taxa with divergent SSU rRNA gene sequences, which are prone to misclassification. We identified 6121 sequences, 625 of which were obtained from cultures, 3053 from cell isolations or enrichments and 2419 from environmental samples. We have corrected the classification for the majority of these curated sequences. The resulting publicly available databases will provide phylogenetically based standards for the improved identification of excavates in ecological and microbiome studies, as well as resources to classify new discoveries in excavate diversity.
Název v anglickém jazyce
EukRef-excavates: seven curated SSU ribosomal RNA gene databases
Popis výsledku anglicky
The small subunit ribosomal RNA (SSU rRNA) gene is a widely used molecular marker to study the diversity of life. Sequencing of SSU rRNA gene amplicons has become a standard approach for the investigation of the ecology and diversity of microbes. However, a well-curated database is necessary for correct classification of these data. While available for many groups of Bacteria and Archaea, such reference databases are absent for most eukaryotes. The primary goal of the EukRef project (eukref.org ) is to close this gap and generate well-curated reference databases for major groups of eukaryotes, especially protists. Here we present a set of EukRef-curated databases for the excavate protists-a large assemblage that includes numerous taxa with divergent SSU rRNA gene sequences, which are prone to misclassification. We identified 6121 sequences, 625 of which were obtained from cultures, 3053 from cell isolations or enrichments and 2419 from environmental samples. We have corrected the classification for the majority of these curated sequences. The resulting publicly available databases will provide phylogenetically based standards for the improved identification of excavates in ecological and microbiome studies, as well as resources to classify new discoveries in excavate diversity.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10603 - Genetics and heredity (medical genetics to be 3)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Database - The Journal of Biological Databases and Curation
ISSN
1758-0463
e-ISSN
—
Svazek periodika
neuveden
Číslo periodika v rámci svazku
NOV 20 2020
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
11
Strana od-do
—
Kód UT WoS článku
000597225700001
EID výsledku v databázi Scopus
2-s2.0-85096814458