The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
The Serine/Threonine/Tyrosine Phosphoproteome of the Model Bacterium Bacillus subtilis
Open accessAbstract
Protein phosphorylation on serine, threonine, and tyrosine (Ser/Thr/Tyr) is well established as a key regulatory posttranslational modification in eukaryotes, but little is known about its extent and function in prokaryotes. Although protein kinases and phosphatases have been predicted and identified in a variety of bacterial species, classical biochemical approaches have so far revealed only a few substrate proteins and even fewer phosphorylation sites. Bacillus subtilis is a model Gram-positive bacterium in which two-dimensional electrophoresis-based studies suggest that the Ser/Thr/Tyr phosphorylation should be present on more than a hundred proteins. However, so far only 16 phosphorylation sites on eight of its proteins have been determined, mostly in in vitro studies. Here we performed a global, gel-free, and site-specific analysis of the B. subtilis phosphoproteome using high accuracy mass spectrometry in combination with biochemical enrichment of phosphopeptides from digested cell lysates. We identified 103 unique phosphopeptides from 78 B. subtilis proteins and determined 78 phosphorylation sites: 54 on serine, 16 on threonine, and eight on tyrosine. Detected phosphoproteins are involved in a wide variety of metabolic processes but are enriched in carbohydrate metabolism. We report phosphorylation sites on almost all glycolytic and tricarboxylic acid cycle enzymes, several kinases, and members of the phosphoenolpyruvate-dependent phosphotransferase system. This significantly enlarged number of bacterial proteins known to be phosphorylated on Ser/Thr/Tyr residues strongly supports the emerging view that protein phosphorylation is a general and fundamental regulatory process, not restricted only to eukaryotes, and opens the way for its detailed functional analysis in bacteria.
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Conesa, A., Götz, S., García-Gómez, J. M., Terol, J., Talón, M., & Robles, M. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti610 · Cited by 11,495
The protein kinase complement of the human genome
Manning, G., Whyte, D. B., Martinez, R., Hunter, T., & Sudarsanam, S. (2002) · Science · doi:10.1126/science.1075762 · Cited by 8,145
Cell Signaling by Receptor Tyrosine Kinases
Lemmon, M. A., & Schlessinger, J. (2010) · Cell · doi:10.1016/j.cell.2010.06.011 · Cited by 7,929
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Self-citationMaere, S., Heymans, K., & Kuiper, M. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti551 · Cited by 4,155
Cell Signaling by Receptor Tyrosine Kinases
Schlessinger, J. (2000) · Cell · doi:10.1016/s0092-8674(00)00114-8 · Cited by 3,774
Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks
Olsen, J. V., Blagoev, B., Gnad, F., Macek, B., Kumar, C., Mortensen, P., & Mann, M. (2006) · Cell · doi:10.1016/j.cell.2006.09.026 · Cited by 3,499
Self-citationProtein kinases and phosphatases: The Yin and Yang of protein phosphorylation and signaling
Hunter, T. (1995) · Cell · doi:10.1016/0092-8674(95)90405-0 · Cited by 2,950
Proteomic analysis of post-translational modifications
Mann, M., & Jensen, O. N. (2003) · Nature Biotechnology · doi:10.1038/nbt0303-255 · Cited by 2,134
Self-citationPhosphoenolpyruvate:carbohydrate phosphotransferase systems of bacteria
Postma, P. W., Lengeler, J. W., & Jacobson, G. R. (1993) · Microbiological Reviews · doi:10.1128/mmbr.57.3.543-594.1993 · Cited by 1,903
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Serine/threonine phosphatases: mechanism through structure
Shi, Y. (2009) · Cell · doi:10.1016/j.cell.2009.10.006 · Cited by 1,488
Deutscher, J., Aké, F. M. D., Derkaoui, M., Zébré, A. C., Cao, T. N., Bouraoui, H., Kentache, T., Mokhtari, A., Milohanic, E., & Joyet, P. (2014) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00001-14 · Cited by 428
Evolution of protein phosphatases in plants and animals
Moorhead, G. B. G., De Wever, V., Templeton, G., & Kerk, D. (2009) · Biochemical Journal · doi:10.1042/bj20081986 · Cited by 254
Chubukov, V., Uhr, M., Le Chat, L., Kleijn, R. J., Jules, M., Link, H., Aymerich, S., Stelling, J., & Sauer, U. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.66 · Cited by 191
Global impact of protein arginine phosphorylation on the physiology of Bacillus subtilis
Elsholz, A. K. W., Turgay, K., Michalik, S., Hessling, B., Gronau, K., Oertel, D., Mäder, U., Bernhardt, J., Becher, D., Hecker, M., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117483109 · Cited by 141
Metadata
- Authors
- Macek, B., Mijakovic, I., Olsen, J. V., Gnad, F., Kumar, C., Jensen, P. R., & Mann, M.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2007-04
- Volume
- 6
- Issue
- 4
- Pages
- 697-707
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2077261875
- Cited by
- 398
- References
- 55
- FWCI
- 17.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: The Serine/Threonine/Tyrosine Phosphoproteome of the Model Bacterium Bacillus subtilis. https://app.cochat.ai/papers/10.1074/mcp.m600464-mcp200
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- Macek, B., Mijakovic, I., Olsen, J. V., Gnad, F., Kumar, C., Jensen, P. R., & Mann, M. (2007). The Serine/Threonine/Tyrosine Phosphoproteome of the Model Bacterium Bacillus subtilis. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m600464-mcp200
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