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Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic marker.

Authors :
Bengtsson-Palme J
Richardson RT
Meola M
Wurzbacher C
Tremblay ÉD
Thorell K
Kanger K
Eriksson KM
Bilodeau GJ
Johnson RM
Hartmann M
Nilsson RH
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2018 Dec 01; Vol. 34 (23), pp. 4027-4033.
Publication Year :
2018

Abstract

Motivation: Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, no genetic marker gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. This has led to the adoption of a range of genetic markers for DNA metabarcoding. While many taxonomic classification software tools can be re-trained on these genetic markers, they are often designed with assumptions that impair their utility on genes other than the SSU and LSU rRNA. Here, we present an update to Metaxa2 that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.<br />Results: We evaluated the Metaxa2 Database Builder on 11 commonly used barcoding regions and found that while there are wide differences in performance between different genetic markers, our software performs satisfactorily provided that the input taxonomy and sequence data are of high quality.<br />Availability and Implementation: Freely available on the web as part of the Metaxa2 package at http://microbiology.se/software/metaxa2/.<br />Supplementary Information: Supplementary data are available at Bioinformatics online.

Details

Language :
English
ISSN :
1367-4811
Volume :
34
Issue :
23
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
29912385
Full Text :
https://doi.org/10.1093/bioinformatics/bty482