TaxMapper: An Analysis Tool, Reference Database and Workflow for Metatranscriptome Analysis of Eukaryotic Microorganisms
Daniela BeißeriD, Nadine GraupneriD, Lars Großmann, Henning TimmiD, Jens BoenigkiD, Sven RahmanniD
Abstract
BackgroundHigh-throughput sequencing (HTS) technologies are increasingly applied to analyse complex microbial ecosystems by mRNA sequencing of whole communities, also known as metatranscriptome sequencing. This approach is at the moment largely limited to prokaryotic communities and communities of few eukaryotic species with sequenced genomes. For eukaryotes the analysis is hindered mainly by a low and fragmented coverage of the reference databases to infer the community composition, but also by lack of automated workflows for the task.\n\nResultsFrom the databases of the National Center for Biotechnology Information and Marine Microbial Eukaryote Transcriptome Sequencing Project, 142 references were selected in such a way that the taxa represent the main lineages within each of the seven supergroups of eukaryotes and possess predominantly complete transcriptomes or genomes. From these references, we created an annotated microeukaryotic reference database. We developed a tool called TaxMapper for a reliably mapping of sequencing reads against this database and filtering of unreliable assignments. For filtering, a classifier was trained and tested on sequences in the database, sequences of related taxa to those in the database and randomly generated sequences. Additionally, TaxMapper is part of a metatranscriptomic Snakemake workflow developed to perform quality assessment, functional and taxonomic annotation and (multivariate) statistical analysis including environmental data. The workflow is provided and described in detail to empower researchers to easily apply it for metatranscriptome analysis of any environmental sample.\n\nConclusionsTaxMapper shows superior performance compared to standard approaches, resulting in a higher number of true positive taxonomic assignments. Both the TaxMapper tool and the workflow are available as open-source code at Bitbucket under the MIT license: https://bitbucket.org/dbeisser/taxmapper and as a Bioconda package: https://bioconda.github.io/recipes/taxmapper/README.html.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 14
- FWCI
- 0.33
- Field percentile
- top 43%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Reverse engineering environmental metatranscriptomes clarifies best practices for eukaryotic assembly
Arianna I. Krinos, Natalie R. Cohen, … Harriet Alexander·BMC BioinformaticsPeer-reviewed·Mar 3, 2023
- Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes
Lisa K. Johnson, Harriet Alexander, C. Titus Brown·GigaSciencePeer-reviewed·Dec 12, 2018
- taxMaps - Ultra-comprehensive and highly accurate taxonomic classification of short-read data in reasonable time
André Corvelo, Wayne E. Clarke, … Michael C. Zody·Genome ResearchPeer-reviewed·May 1, 2018
- MetaPro: A scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities
Billy Taj, Mobolaji Adeolu, … John Parkinson·MicrobiomePeer-reviewed·Jun 27, 2023
- Missing microbial eukaryotes and misleading meta-omic conclusions
A. I. Krinos, M. Mars Brisbin, … H. Alexander·bioRxiv·Jul 30, 2023
- MAPseq: Improved Speed, Accuracy And Consistency In Ribosomal RNA Sequence Analysis
João F. Matias Rodrigues, Thomas Schmidt, … Christian von Mering·BioinformaticsPeer-reviewed·Aug 10, 2017