Literature DB >> 28648396

25 years of serving the community with ribosomal RNA gene reference databases and tools.

Frank Oliver Glöckner1, Pelin Yilmaz2, Christian Quast2, Jan Gerken3, Alan Beccati3, Andreea Ciuprina3, Gerrit Bruns3, Pablo Yarza4, Jörg Peplies4, Ralf Westram4, Wolfgang Ludwig5.   

Abstract

SILVA (lat. forest) is a comprehensive web resource, providing services around up to date, high-quality datasets of aligned ribosomal RNA gene (rDNA) sequences from the Bacteria, Archaea, and Eukaryota domains. SILVA dates back to the year 1991 when Dr. Wolfgang Ludwig from the Technical University Munich started the integrated software workbench ARB (lat. tree) to support high-quality phylogenetic inference and taxonomy based on the SSU and LSU rDNA marker genes. At that time, the ARB project maintained both, the sequence reference datasets and the software package for data analysis. In 2005, with the massive increase of DNA sequence data, the maintenance of the software system ARB and the corresponding rRNA databases SILVA was split between Munich and the Microbial Genomics and Bioinformatics Research Group in Bremen. ARB has been continuously developed to include new features and improve the usability of the workbench. Thousands of users worldwide appreciate the seamless integration of common analysis tools under a central graphical user interface, in combination with its versatility. The first SILVA release was deployed in February 2007 based on the EMBL-EBI/ENA release 89. Since then, full SILVA releases offering the database content in various flavours are published at least annually, complemented by intermediate web-releases where only the SILVA web dataset is updated. SILVA is the only rDNA database project worldwide where special emphasis is given to the consistent naming of clades of uncultivated (environmental) sequences, where no validly described cultivated representatives are available. Also exclusive for SILVA is the maintenance of both comprehensive aligned 16S/18S rDNA and 23S/28S rDNA sequence datasets. Furthermore, the SILVA alignments and trees were designed to include Eukaryota, another unique feature among rDNA databases. With the termination of the European Ribosomal RNA Database Project in 2007, the SILVA database has become the authoritative rDNA database project for Europe. The application spectrum of ARB and SILVA ranges from biodiversity analysis, medical diagnostics, to biotechnology and quality control for academia and industry.
Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alignments; Biodiversity; Databases; Phylogeny; Ribosomal RNA; Taxonomy

Mesh:

Year:  2017        PMID: 28648396     DOI: 10.1016/j.jbiotec.2017.06.1198

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  167 in total

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4.  Phylosymbiosis across Deeply Diverging Lineages of Omnivorous Cockroaches (Order Blattodea).

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5.  Optimizing peptide nucleic acid probes for hybridization-based detection and identification of bacterial pathogens.

Authors:  Kathleen E Mach; Aniruddha M Kaushik; Kuangwen Hsieh; Pak Kin Wong; Tza-Huei Wang; Joseph C Liao
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6.  Characterization and comprehensive analysis of the ecological interaction networks of bacterial communities in Paullinia cupana var. sorbilis by 16S rRNA gene metabarcoding.

Authors:  Rhavena Graziela Liotti; Rafael Correia da Silva; Daniel Guariz Pinheiro; Joaquim Manoel da Silva; Gilvan Ferreira da Silva; Elisabeth Aparecida Furtado de Mendonça; Marcos Antônio Soares
Journal:  World J Microbiol Biotechnol       Date:  2019-11-14       Impact factor: 3.312

7.  Effect of temperature on methane oxidation and community composition in landfill cover soil.

Authors:  Krishna R Reddy; Raksha K Rai; Stefan J Green; Jyoti K Chetri
Journal:  J Ind Microbiol Biotechnol       Date:  2019-07-17       Impact factor: 3.346

8.  Spatiotemporal Changes in the Bacterial Community of the Meromictic Lake Uchum, Siberia.

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Journal:  Microb Ecol       Date:  2020-09-11       Impact factor: 4.552

9.  Bifidobacterium longum-fermented rice bran and rice bran supplementation affects the gut microbiome and metabolome.

Authors:  N J Nealon; K D Parker; P Lahaie; H Ibrahim; A K Maurya; K Raina; E P Ryan
Journal:  Benef Microbes       Date:  2019-09-29       Impact factor: 4.205

10.  Sociodemographic variation in the oral microbiome.

Authors:  Audrey Renson; Heidi E Jones; Francesco Beghini; Nicola Segata; Christine P Zolnik; Mykhaylo Usyk; Thomas U Moody; Lorna Thorpe; Robert Burk; Levi Waldron; Jennifer B Dowd
Journal:  Ann Epidemiol       Date:  2019-05-08       Impact factor: 3.797

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