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Titel (primär) Enhancing metaproteomics—The value of models and defined environmental microbial systems
Autor Herbst, F.-A.; Lünsmann, V.; Kjeldal, H.; Jehmlich, N.; Tholey, A.; von Bergen, M.; Nielsen, J.L.; Hettich, R.L.; Seifert, J.; Nielsen, P.H.;
Journal / Serie Proteomics
Erscheinungsjahr 2016
Department MOLSYB;
Band/Volume 16
Heft 5
Sprache englisch;
POF III (gesamt) T41;
Keywords Community proteomics; Metaproteomics; Microbiology; Microbiota; Model systems
UFZ Querschnittsthemen RU3;
Abstract Metaproteomics—the large-scale characterization of the entire protein complement of environmental microbiota at a given point in time—has provided new features to study complex microbial communities in order to unravel these “black boxes.” New technical challenges arose that were not an issue for classical proteome analytics before that could be tackled by the application of different model systems. Here, we review different current and future model systems for metaproteome analysis. Following a short introduction to microbial communities and metaproteomics, we introduce model systems for clinical and biotechnological research questions including acid mine drainage, anaerobic digesters, and activated sludge. Model systems are useful to evaluate the challenges encountered within (but not limited to) metaproteomics, including species complexity and coverage, biomass availability, or reliable protein extraction. The implementation of model systems can be considered as a step forward to better understand microbial community responses and ecological functions of single member organisms. In the future, improvements are necessary to fully explore complex environmental systems by metaproteomics.
ID 17293
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17293
Herbst, F.-A., Lünsmann, V., Kjeldal, H., Jehmlich, N., Tholey, A., von Bergen, M., Nielsen, J.L., Hettich, R.L., Seifert, J., Nielsen, P.H. (2016):
Enhancing metaproteomics—The value of models and defined environmental microbial systems
Proteomics 16 (5), 783 - 798