Proteotyping: Proteomic characterization, classification and identification of microorganisms--A prospectus
Reviewartikel, 2015

Modern microbial systematics requires a range of methodologies for the comprehensive characterization, classification and identification of microorganisms. While whole-genome sequences provide the ultimate reference for defining microbial phylogeny and taxonomy, selected biomarker-based strategies continue to provide the means for the bulk of microbial systematic studies. Proteomics, the study of the expression of genes, as well as the structure and function of the resulting proteins, offers indirect measures of genome sequence data. Recent developments in applications of proteomics for analyzing microorganisms have paralleled the growing microbial genome sequence database, as well as the evolution of mass spectrometry (MS) instrumentation and bioinformatics. MALDI-TOF MS, which generates proteomic mass patterns for ‘fingerprint’-based characterizations, has provided a marked breakthrough for microbial identification. However, MALDI-TOF MS is limited in the number of targets that can be detected for strain characterization. Advanced methods of tandem mass spectrometry, in which proteins and peptides generated from proteins, are characterized and identified, using LC–MS/MS, provide the ability to detect hundreds or thousands of expressed microbial strain markers for high-resolution characterizations and identifications. Model studies demonstrate the application of proteomics-based analyses for bacterial species- and strain-level detection and identification and for characterization of environmentally relevant, metabolically diverse bacteria. Proteomics-based approaches represent an emerging complement to traditional methods of characterizing microorganisms, enabling the elucidation of the expressed biomarkers of genome sequence information, which can be applied to ‘proteotyping’ applications of microorganisms at all taxonomic levels.



microbial systematics

mass spectrometry


Roger Karlsson

Göteborgs universitet

Nanoxis Consulting AB

Lucia Gonzales-Siles

Göteborgs universitet

Fredrik Boulund

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Liselott Svensson-Stadler

Göteborgs universitet

Susann Skovbjerg

Göteborgs universitet

Anders Karlsson

Nanoxis Consulting AB

Max Davidsson

Nanoxis Consulting AB

Stefan Hulth

Göteborgs universitet

Erik Kristiansson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Edward R.B. Moore

Göteborgs universitet

Systematic and Applied Microbiology

0723-2020 (ISSN)

Vol. 38 4 246-257


Hållbar utveckling


Biomedicinsk laboratorievetenskap/teknologi

Mikrobiologi inom det medicinska området


Livsvetenskaper och teknik (2010-2018)



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