Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/ijms242115692
Licence creative commons licence
Title (Primary) GroEL-proteotyping of bacterial communities using tandem mass spectrometry
Author Klaes, S. ORCID logo ; Madan, S.; Deobald, D.; Cooper, M.; Adrian, L.
Source Titel International Journal of Molecular Sciences
Year 2023
Department UBT
Volume 24
Issue 21
Page From art. 15692
Language englisch
Topic T7 Bioeconomy
Supplements https://www.mdpi.com/article/10.3390/ijms242115692/s1
Keywords shotgun proteomics; proteotyping; microbial communities; GroEL; chaperon; taxonomic profiling; community analysis; community composition; bottom-up proteomics; metaproteomics
Abstract Profiling bacterial populations in mixed communities is a common task in microbiology. Sequencing of 16S small subunit ribosomal-RNA (16S rRNA) gene amplicons is a widely accepted and functional approach but relies on amplification primers and cannot quantify isotope incorporation. Tandem mass spectrometry proteotyping is an effective alternative for taxonomically profiling microorganisms. We suggest that targeted proteotyping approaches can complement traditional population analyses. Therefore, we describe an approach to assess bacterial community compositions at the family level using the taxonomic marker protein GroEL, which is ubiquitously found in bacteria, except a few obligate intracellular species. We refer to our method as GroEL-proteotyping. GroEL-proteotyping is based on high-resolution tandem mass spectrometry of GroEL peptides and identification of GroEL-derived taxa via a Galaxy workflow and a subsequent Python-based analysis script. Its advantage is that it can be performed with a curated and extendable sample-independent database and that GroEL can be pre-separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) to reduce sample complexity, improving GroEL identification while simultaneously decreasing the instrument time. GroEL-proteotyping was validated by employing it on a comprehensive raw dataset obtained through a metaproteome approach from synthetic microbial communities as well as real human gut samples. Our data show that GroEL-proteotyping enables fast and straightforward profiling of highly abundant taxa in bacterial communities at reasonable taxonomic resolution.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28145
Klaes, S., Madan, S., Deobald, D., Cooper, M., Adrian, L. (2023):
GroEL-proteotyping of bacterial communities using tandem mass spectrometry
Int. J. Mol. Sci. 24 (21), art. 15692 10.3390/ijms242115692