DiSCo: a sequence-based type-specific predictor of Dsr-dependent dissimilatory sulphur metabolism in microbial data
- Autor(en)
- Sinje Neukirchen, Filipa L Sousa
- Abstrakt
Current methods in comparative genomic analyses for metabolic potential prediction of proteins involved in, or associated with the Dsr (dissimilatory sulphite reductase)-dependent dissimilatory sulphur metabolism are both time-intensive and computationally challenging, especially when considering metagenomic data. We developed DiSCo, a Dsr-dependent dissimilatory sulphur metabolism classification tool, which automatically identifies and classifies the protein type from sequence data. It takes user-supplied protein sequences and lists the identified proteins and their classification in terms of protein family and predicted type. It can also extract the sequence data from user-input to serve as basis for additional downstream analyses. DiSCo provides the metabolic functional prediction of proteins involved in Dsr-dependent dissimilatory sulphur metabolism with high levels of accuracy in a fast manner. We ran DiSCo against a dataset composed of over 190 thousand (meta)genomic records and efficiently mapped Dsr-dependent dissimilatory sulphur proteins in 1798 lineages across both prokaryotic domains. This allowed the identification of new micro-organisms belonging to Thaumarchaeota and Spirochaetes lineages with the metabolic potential to use the Dsr-pathway for energy conservation. DiSCo is implemented in Perl 5 and freely available under the GNU GPLv3 at github.com/Genome-Evolution-and-Ecology-Group-GEEG/DiSCo.
- Organisation(en)
- Department für Funktionelle und Evolutionäre Ökologie
- Journal
- Microbial genomics
- Band
- 7
- ISSN
- 2057-5858
- DOI
- https://doi.org/10.1099/mgen.0.000603
- Publikationsdatum
- 07-2021
- Peer-reviewed
- Ja
- ÖFOS 2012
- 106005 Bioinformatik
- Schlagwörter
- ASJC Scopus Sachgebiete
- Genetics, Molecular Biology, Epidemiology, Microbiology
- Sustainable Development Goals
- SDG 7 – Bezahlbare und saubere Energie
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/e6950ec6-c7b5-4d72-a803-e293746b97cc