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; Karl Martin Eriksson; Guillaume J. Bilodeau; Reed M. Johnson; Martin Hartmann; R. Henrik Nilsson

doi:10.1093/bioinformatics/bty482

BioinformaticsBioinformaticsJun 12, 2018

Peer-reviewed journal article

Taxonomic identification from metagenomic and metabarcoding data using any genetic marker

Johan Bengtsson‐Palme iD, Rodney T. Richardson iD, Marco Meola iD, Christian Wurzbacher iD, Émilie D. Tremblay iD, Kaisa Thorell iD, Kärt Kanger iD, Karl Martin Eriksson iD, Guillaume J. Bilodeau iD, Reed M. Johnson iD, Martin Hartmann iD, R. Henrik Nilsson iD

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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