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Taxonomic identification from metagenomic and metabarcoding data using any genetic marker

View ORCID ProfileJohan Bengtsson-Palme, Rodney T. Richardson, Marco Meola, Christian Wurzbacher, Émilie D. Tremblay, Kaisa Thorell, Kärt Kanger, K. Martin Eriksson, Guillaume J. Bilodeau, Reed M. Johnson, Martin Hartmann, R. Henrik Nilsson
doi: https://doi.org/10.1101/253377
Johan Bengtsson-Palme
1Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, SE-413 46, Gothenburg, Sweden
2Center for Antibiotic Resistance research (CARe) at University of Gothenburg, Box 440, SE-40530, Gothenburg, Sweden
3Wisconsin Institute for Discovery, University of Wisconsin-Madison, 330 N. Orchard Street, Madison, WI 53715, USA
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  • For correspondence: johan.bengtsson-palme@microbiology.se
Rodney T. Richardson
4Department of Entomology, The Ohio State University–Ohio Agricultural Research and Development Center, 1680 Madison Ave., Wooster, OH 44691, USA
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Marco Meola
5Fermentation Organisms, Methods Development and Analytics, Agroscope, CH-3003 Bern, Switzerland
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Christian Wurzbacher
6Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE-405 30 Gothenburg, Sweden
7Chair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 8, 85748 Garching, Germany
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Émilie D. Tremblay
8Canadian Food Inspection Agency, Ottawa, ON K2H 8P9, Canada
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Kaisa Thorell
9Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Nobels Väg 16, SE-171 77 Stockholm, Sweden
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Kärt Kanger
10Institute of Ecology and Earth Science, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
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K. Martin Eriksson
11Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
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Guillaume J. Bilodeau
8Canadian Food Inspection Agency, Ottawa, ON K2H 8P9, Canada
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Reed M. Johnson
4Department of Entomology, The Ohio State University–Ohio Agricultural Research and Development Center, 1680 Madison Ave., Wooster, OH 44691, USA
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Martin Hartmann
12Forest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, CH-8903 Birmensdorf, Switzerland
13Sustainable Agroecosystems, Institute of Agricultural Sciences, Department of Environmental Systems Science, ETH Zurich, CH-8092 Zurich, Switzerland
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R. Henrik Nilsson
6Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE-405 30 Gothenburg, Sweden
14Gothenburg Global Biodiversity Centre, Box 461, SE-405 30 Göteborg, Sweden
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Abstract

Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, there is no genetic marker that gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. We here present a major update to Metaxa2 (http://microbiology.se/software/metaxa2/) that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.

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Posted January 27, 2018.
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Taxonomic identification from metagenomic and metabarcoding data using any genetic marker
Johan Bengtsson-Palme, Rodney T. Richardson, Marco Meola, Christian Wurzbacher, Émilie D. Tremblay, Kaisa Thorell, Kärt Kanger, K. Martin Eriksson, Guillaume J. Bilodeau, Reed M. Johnson, Martin Hartmann, R. Henrik Nilsson
bioRxiv 253377; doi: https://doi.org/10.1101/253377
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Taxonomic identification from metagenomic and metabarcoding data using any genetic marker
Johan Bengtsson-Palme, Rodney T. Richardson, Marco Meola, Christian Wurzbacher, Émilie D. Tremblay, Kaisa Thorell, Kärt Kanger, K. Martin Eriksson, Guillaume J. Bilodeau, Reed M. Johnson, Martin Hartmann, R. Henrik Nilsson
bioRxiv 253377; doi: https://doi.org/10.1101/253377

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