Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community

Taxonomic identification is fundamental to all microbiology studies. Particularly in metagenomics, which identifies the composition of microorganisms using thousands of sequences, its importance is even greater. Identification is inevitably affected by the choice of database. This study was conducte...

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Main Authors: Sang-Cheol Park, Sungho Won
Format: Article
Language:English
Published: BioMed Central 2018-12-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gi-2018-16-4-e24.pdf
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author Sang-Cheol Park
Sungho Won
author_facet Sang-Cheol Park
Sungho Won
author_sort Sang-Cheol Park
collection DOAJ
description Taxonomic identification is fundamental to all microbiology studies. Particularly in metagenomics, which identifies the composition of microorganisms using thousands of sequences, its importance is even greater. Identification is inevitably affected by the choice of database. This study was conducted to evaluate the accuracy of three widely used 16S databases—Greengenes, Silva, and EzBioCloud—and to suggest basic guidelines for selecting reference databases. Using public mock community data, each database was used to assign taxonomy and to test its accuracy. We show that EzBioCloud performs well compared with other existing databases.
format Article
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institution Kabale University
issn 2234-0742
language English
publishDate 2018-12-01
publisher BioMed Central
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series Genomics & Informatics
spelling doaj-art-c9bfbfb8d6624116bf07e508d9054ea82025-02-02T18:43:57ZengBioMed CentralGenomics & Informatics2234-07422018-12-0116410.5808/GI.2018.16.4.e24528Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock CommunitySang-Cheol Park0Sungho Won1 Institute of Health and Environment, Seoul National University, Seoul 08826, Korea Institute of Health and Environment, Seoul National University, Seoul 08826, KoreaTaxonomic identification is fundamental to all microbiology studies. Particularly in metagenomics, which identifies the composition of microorganisms using thousands of sequences, its importance is even greater. Identification is inevitably affected by the choice of database. This study was conducted to evaluate the accuracy of three widely used 16S databases—Greengenes, Silva, and EzBioCloud—and to suggest basic guidelines for selecting reference databases. Using public mock community data, each database was used to assign taxonomy and to test its accuracy. We show that EzBioCloud performs well compared with other existing databases.http://genominfo.org/upload/pdf/gi-2018-16-4-e24.pdfclassificationevaluation studiesgenetic databasesmicrobiotaRNAtechnology assessment16S ribosomal
spellingShingle Sang-Cheol Park
Sungho Won
Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
Genomics & Informatics
classification
evaluation studies
genetic databases
microbiota
RNA
technology assessment
16S ribosomal
title Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
title_full Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
title_fullStr Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
title_full_unstemmed Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
title_short Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community
title_sort evaluation of 16s rrna databases for taxonomic assignments using a mock community
topic classification
evaluation studies
genetic databases
microbiota
RNA
technology assessment
16S ribosomal
url http://genominfo.org/upload/pdf/gi-2018-16-4-e24.pdf
work_keys_str_mv AT sangcheolpark evaluationof16srrnadatabasesfortaxonomicassignmentsusingamockcommunity
AT sunghowon evaluationof16srrnadatabasesfortaxonomicassignmentsusingamockcommunity