Evidence map›Paper›PMID 29912385›Full record

ArticleBioinformatics (Oxford, England)2018

Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or 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 and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 47 citations in OpenAlex.

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  9. Improving bee health through genomics.Nature reviews. Genetics · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 6 countries.

Johan Bengtsson-PalmeWisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.
Rodney T RichardsonDepartment of Entomology, The Ohio State University-Ohio Agricultural Research and Development Center, Wooster, OH, USA.
Marco MeolaFermentation Organisms, Methods Development and Analytics, Agroscope, CH-3003 Bern, Switzerland.
Christian WurzbacherDepartment of Biological and Environmental Sciences, University of Gothenburg, SE-40530 Gothenburg, Sweden.
Émilie D TremblayCanadian Food Inspection Agency, Ottawa Laboratory Fallowfield, Ottawa, ON, Canada.
Kaisa ThorellDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Kärt KangerDepartment of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
K Martin ErikssonDepartment of Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Guillaume J BilodeauCanadian Food Inspection Agency, Ottawa Laboratory Fallowfield, Ottawa, ON, Canada.
Reed M JohnsonDepartment of Entomology, The Ohio State University-Ohio Agricultural Research and Development Center, Wooster, OH, USA.
Martin HartmannForest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
R Henrik NilssonDepartment of Biological and Environmental Sciences, University of Gothenburg, SE-40530 Gothenburg, Sweden.
Canadian Food Inspection Agency · CAThe Ohio State University · USAgroscope · CHChalmers University of Technology · SEGöteborgs Stads · SEKarolinska Institutet · SESwiss Federal Institute for Forest, Snow and Landscape Research · CHTechnical University of Munich · DEUniversity of Tartu · EEUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. 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. Availability and implementation: Freely available on the web as part of the Metaxa2 package at http://microbiology.se/software/metaxa2/. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

DNA Barcoding, TaxonomicGenetic MarkersMetagenomicsPhylogenySoftwareComputational BiologyGenetic Markers

Identifiers

PMID29912385
PMCPMC6247927
OpenAlexW2809066811

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.