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Genome-wide Analysis of Substrate Specificities of the Escherichia coli Haloacid Dehalogenase-like Phosphatase Family
Open accessAbstract
Haloacid dehalogenase (HAD)-like hydrolases are a vast superfamily of largely uncharacterized enzymes, with a few members shown to possess phosphatase, beta-phosphoglucomutase, phosphonatase, and dehalogenase activities. Using a representative set of 80 phosphorylated substrates, we characterized the substrate specificities of 23 soluble HADs encoded in the Escherichia coli genome. We identified small molecule phosphatase activity in 21 HADs and beta-phosphoglucomutase activity in one protein. The E. coli HAD phosphatases show high catalytic efficiency and affinity to a wide range of phosphorylated metabolites that are intermediates of various metabolic reactions. Rather than following the classical "one enzyme-one substrate" model, most of the E. coli HADs show remarkably broad and overlapping substrate spectra. At least 12 reactions catalyzed by HADs currently have no EC numbers assigned in Enzyme Nomenclature. Surprisingly, most HADs hydrolyzed small phosphodonors (acetyl phosphate, carbamoyl phosphate, and phosphoramidate), which also serve as substrates for autophosphorylation of the receiver domains of the two-component signal transduction systems. The physiological relevance of the phosphatase activity with the preferred substrate was validated in vivo for one of the HADs, YniC. Many of the secondary activities of HADs might have no immediate physiological function but could comprise a reservoir for evolution of novel phosphatases.
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Cites
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
MrBayes 3: Bayesian phylogenetic inference under mixed models
Ronquist, F., & Huelsenbeck, J. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg180 · Cited by 29,077
MRBAYES: Bayesian inference of phylogenetic trees.
Huelsenbeck, J. P., & Ronquist, F. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.754 · Cited by 21,937
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
Datsenko, K. A., & Wanner, B. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120163297 · Cited by 14,782
Escherichia coli and Salmonella :cellular and molecular biology
Neidhardt, F. C. (1996) · ASM Press eBooks · Cited by 8,197
Guzman, L. M., Belin, D., Carson, M. J., & Beckwith, J. (1995) · Journal of Bacteriology · doi:10.1128/jb.177.14.4121-4130.1995 · Cited by 4,935
TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing
Schmidt, H. A., Strimmer, K., Vingron, M., & von Haeseler, A. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.3.502 · Cited by 2,532
Phosphoenolpyruvate: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
The Probability of Duplicate Gene Preservation by Subfunctionalization
Lynch, M., & Force, A. (2000) · Genetics · doi:10.1093/genetics/154.1.459 · Cited by 1,550
ENZYME RECRUITMENT IN EVOLUTION OF NEW FUNCTION
Jensen, R. A. (1976) · Annual Review of Microbiology · doi:10.1146/annurev.mi.30.100176.002205 · Cited by 1,101
Research works printed but not linked: 16
- Pellicer, 2003, J. Bacteriol., 185, 5815, 10.1128/JB.185.19.5815-5821.2003 · doi:10.1128/jb.185.19.5815-5821.2003
- Lipmann, 1950, Biochim. Biophys. Acta, 4, 301, 10.1016/0006-3002(50)90036-9 · doi:10.1016/0006-3002(50)90036-9
- Ameyama, 1981, J. Bacteriol., 145, 814, 10.1128/jb.145.2.814-823.1981 · doi:10.1128/jb.145.2.814-823.1981
- Adachi, 1992, Comput. Sci. Monogr., 27, 1
- James, 2001, Protein Sci., 10, 2600, 10.1110/ps.ps.14601 · doi:10.1110/ps.ps.14601
- Petsko, 1993, Trends Biochem. Sci., 18, 372, 10.1016/0968-0004(93)90091-Z · DOI
- Postma, 1993, Microbiol. Rev., 57, 543, 10.1128/mr.57.3.543-594.1993 · doi:10.1128/mr.57.3.543-594.1993 · Paper page
- Charbit, 1996, J. Biol. Chem., 271, 9997, 10.1074/jbc.271.17.9997 · doi:10.1074/jbc.271.17.9997
- Buschmeier, 1985, FEMS Microbiol. Lett., 29, 231, 10.1111/j.1574-6968.1985.tb00868.x · doi:10.1111/j.1574-6968.1985.tb00868.x
- Lumeng, 1975, J. Biol. Chem., 250, 8126, 10.1016/S0021-9258(19)40825-9 · doi:10.1016/s0021-9258(19)40825-9
- Jang, 2003, J. Biol. Chem., 278, 50040, 10.1074/jbc.M309619200 · doi:10.1074/jbc.m309619200
- Fonda, 1992, J. Biol. Chem., 267, 15978, 10.1016/S0021-9258(19)49630-0 · doi:10.1016/s0021-9258(19)49630-0
- Froman, 1989, Mol. Gen. Genet., 217, 126, 10.1007/BF00330951 · doi:10.1007/bf00330951
- Pradel, 1988, J. Bacteriol., 170, 4916, 10.1128/jb.170.10.4916-4923.1988 · doi:10.1128/jb.170.10.4916-4923.1988
- Chou, 2005, J. Biol. Chem., 280, 15356, 10.1074/jbc.M500434200 · doi:10.1074/jbc.m500434200
- Dietz, 1971, J. Biol. Chem., 246, 2881, 10.1016/S0021-9258(18)62264-1 · doi:10.1016/s0021-9258(18)62264-1
Cited by
Enzyme promiscuity: A mechanistic and evolutionary perspective
Tawfik, O. K. A. D. S. (2010) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-030409-143718 · Cited by 1,355
Enzyme promiscuity: evolutionary and mechanistic aspects
Khersonsky, O., Roodveldt, C., & Tawfik, D. S. (2006) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2006.08.011 · Cited by 641
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Li, F., Yuan, L., Lu, H., Li, G., Chen, Y., Engqvist, M. K. M., Kerkhoven, E. J., & Nielsen, J. (2022) · Nature Catalysis · doi:10.1038/s41929-022-00798-z · Cited by 466
“Understanding enzyme promiscuity and the related under-ground metabolism is a key topic in evolutionary biology 22,23 .”
BackgroundUniKP: a unified framework for the prediction of enzyme kinetic parameters
Yu, H., Deng, H., He, J., Keasling, J. D., & Luo, X. (2023) · Nature Communications · doi:10.1038/s41467-023-44113-1 · Cited by 226
Isoprenoid drugs, biofuels, and Chemicals–Artemisinin, farnesene, and beyond
George, K. W., Alonso-Gutierrez, J., Keasling, J. D., & Lee, T. S. (2015) · Advances in biochemical engineering, biotechnology · doi:10.1007/10_2014_288 · Cited by 185
Metadata
- Authors
- Kuznetsova, E., Proudfoot, M., Gonzalez, C. F., Brown, G., Omelchenko, M. V., Borozan, I., Carmel, L., Wolf, Y. I., Mori, H., Savchenko, A. V., Arrowsmith, C. H., Koonin, E. V., Edwards, A. M., & Yakunin, A. F.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 281
- Issue
- 47
- Pages
- 36149-36161
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W1967946076
- Cited by
- 310
- References
- 66
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by/4.0/ (vor, 5082 d)
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- Kuznetsova, E., Proudfoot, M., Gonzalez, C. F., Brown, G., Omelchenko, M. V., Borozan, I., Carmel, L., Wolf, Y. I., Mori, H., Savchenko, A. V., Arrowsmith, C. H., Koonin, E. V., Edwards, A. M., & Yakunin, A. F. (2006). Genome-wide Analysis of Substrate Specificities of the Escherichia coli Haloacid Dehalogenase-like Phosphatase Family. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m605449200
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