EukRef-Ciliophora: a manually curated, phylogeny-based database of small subunit rRNA gene sequences of ciliates

被引:25
作者
Boscaro, Vittorio [1 ]
Santoferrara, Luciana F. [2 ,3 ]
Zhang, Qianqian [4 ]
Gentekaki, Eleni [5 ]
Syberg-Olsen, Mitchell J. [1 ]
del Campo, Javier [1 ,6 ]
Keeling, Patrick J. [1 ]
机构
[1] Univ British Columbia, Dept Bot, Vancouver, BC, Canada
[2] Univ Connecticut, Dept Marine Sci, Stamford, CT USA
[3] Univ Connecticut, Dept Ecol & Evolutionary Biol, Stamford, CT USA
[4] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Biol & Bioresource Utilizat, Yantai, Peoples R China
[5] Mae Fah Luang Univ, Sch Sci, Chiang Rai, Thailand
[6] CSIC, Dept Marine Biol & Oceanog, Inst Ciencias Mar, Barcelona, Spain
基金
中国国家自然科学基金; 美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
DEEP-SEA; PROTIST DIVERSITY; REVISED CLASSIFICATION; COMMUNITIES; PATTERNS; TAXON; MORPHOLOGY; ARMOPHOREA; INSIGHTS; NASSOPHOREA;
D O I
10.1111/1462-2920.14264
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
High-throughput sequencing (HTS) surveys, among the most common approaches currently used in environmental microbiology, require reliable reference databases to be correctly interpreted. The EukRef Initiative (eukref.org) is a community effort to manually screen available small subunit (SSU) rRNA gene sequences and produce a public, high-quality and informative framework of phylogeny-based taxonomic annotations. In the context of EukRef, we present a database for the monophyletic phylum Ciliophora, one of the most complex, diverse and ubiquitous protist groups. We retrieved more than 11500 sequences of ciliates present in GenBank (28% from identified isolates and 72% from environmental surveys). Our approach included the inference of phylogenetic trees for every ciliate lineage and produced the largest SSU rRNA tree of the phylum Ciliophora to date. We flagged approximately 750 chimeric or low-quality sequences, improved the classification of 70% of GenBank entries and enriched environmental and literature metadata by 30%. The performance of EukRef-Ciliophora is superior to the current SILVA database in classifying HTS reads from a global marine survey. Comprehensive outputs are publicly available to make the new tool a useful guide for non-specialists and a quick reference for experts.
引用
收藏
页码:2218 / 2230
页数:13
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