![]() | ![]() |
Formats:
|
||||||||||||||
Copyright © 2007, American Society for Microbiology Department of Biological Sciences, University of Alabama in Huntsville, 301 Sparkman Drive, WH 258, Huntsville, Alabama 35758 *Mailing address: Department of Biological Sciences, University of Alabama in Huntsville, 301 Sparkman Drive, WH 258, Huntsville, AL 35758. Phone: (256) 824-6094. Fax: (256) 824-4738. E-mail: Roy.Magnuson/at/uah.edu This article has been cited by other articles in PMC.Toxin-antitoxin systems are very commonly found both on large, low-copy plasmids, where they increase effective stability (35), and on bacterial chromosomes, where their function has been the subject of considerable speculation. In this issue of the Journal of Bacteriology, Virginie Tsilibaris and colleagues (65) in the laboratory of Laurence Van Melderen ask “What is the benefit to Escherichia coli of having multiple toxin-antitoxin systems in its genome?” To answer this question, the authors compared the fitness levels of wild-type Escherichia coli and an isogenic strain simultaneously deleted for five chromosomal toxin-antitoxin systems. Relative fitness was assessed by head-to-head competition in liquid culture with reciprocal markers. By this rigorous test, the benefit, under the conditions tested, is little or none. This is a stunning bit of news that poses a serious challenge to the heretofore preeminent stress response/growth control hypothesis. DEFINING CHARACTERISTICS A proteic toxin-antitoxin system (35) can be defined an “addictive” genetic element (Fig. (Fig.1)1
Multiple mechanisms for activation. If the homeostatic capacity of the system is exceeded by transcriptional inhibitors, translational inhibitors (61), severe starvation, or addition of serine hydroxamate (a convenient if severe facsimile of starvation) (10), then the toxin may be unveiled and the cell arrested. Potentially, the specific transcriptional or translational downregulation of the operon (2), the activation of another toxin-antitoxin system (34), or the specific upregulation of the appropriate protease (9) might also be sufficient or helpful in revealing the toxin. Additionally, the actual loss of the toxin-antitoxin genes, by segregation, exclusion, mutation, or recombination, can liberate the toxin and arrest the cell. Multiple mechanisms for action. The toxins so far characterized include gyrase inhibitors, phosphotransferases, site-specific ribonucleases, ribosome-dependent ribonucleases, and a possible riboexonuclease (5, 7, 70). In principle, any essential structure or process could be targeted by these toxins. In practice, mRNA-targeting ribonucleases are particularly common (13) (Fig. (Fig.3).3
Multiple and polymorphic toxin-antitoxin systems. Bioinformatic surveys indicate that prokaryotic genomes may contain zero, one, or many toxin-antitoxin systems (51). Escherichia coli, with at least a half a dozen toxin-antitoxin systems, is fairly typical. It is increasingly apparent that toxin-antitoxin systems are frequently polymorphic, meaning that they are found in some but not all isolates of a given species (51, 66, 67) (Table 1). Stable polymorphisms may be attributed to niche-specific adaptations or to frequency-dependent selection. Multiplicity is generally regarded as strong evidence of functional specialization. Other selfish genetic elements, such as restriction-modification systems (49) and colicins (59), share these distinctive bioinformatic characteristics.
NINE POSSIBLE FUNCTIONS OF CHROMOSOMAL TOXIN-ANTITOXIN SYSTEMS (i) Junk. (ii) Stabilization of genomic parasites. The presence of toxin-antitoxin systems on larger genomic parasites, such as conjugative transposons (17) and temperate bacteriophage (16), may benefit the parasite by reducing the effective deletion rate. Many “chromosomal” toxin-antitoxin systems may be found, upon closer examination, to map to chromosomal parasites or to the remnants of such parasites (58). (iii) Selfish alleles. The recombinational (28) or segregational (14, 15, 37, 45, 46) loss of a toxin-antitoxin system following a sexual encounter results in addictive arrest. Thus, nonaddictive alleles cannot replace addictive alleles, but the reciprocal event is permitted (Fig. (Fig.4).4
(iv) Gene regulation. (v) Growth control. Toxin-antitoxin systems can be activated by starvation or other stresses (1, 7, 10, 33, 38). Since many of the RNase toxins are bacteriostatic rather than bactericidal in nature, their effects can potentially be reversed (53) by the action of tmRNA (11). The quick arrest of growth, in response to starvation or other stresses, may permit improved survival during starvation or a quicker resumption of growth when conditions improve or both (23, 24). At present, however, there is no evidence that toxin-accentuated arrest actually creates an advantage later on, and the first real attempt to test this prediction (65) has failed to reveal any substantial benefit during head-to-head competition in liquid culture. Additionally, this hypothesis cannot predict the existence of multiple and polymorphic toxin-antitoxin systems (Table 1) without invoking accessory hypotheses (such as those regarding functional specializations and niche-specific adaptations) for which there is little or no independent evidence. (vi) Persisters. At least one toxin-antitoxin system is implicated in the generation of “persisters,” a subfraction of the population that is characterized by low growth and high resistance to β-lactam antibiotics (36, 39). By adapting a mixed strategy in which some cells are specialized for growth while others are specialized for persistence, the culture can insure itself against a sudden and catastrophic loss (40). (vii) Programmed cell arrest and the preservation of the commons. The toxin-mediated early arrest of growth by the culture may leave more resources in the medium and therefore may improve long-time survival. This scenario requires a reasonably well-structured environment (such as an agar plate) or some other mechanism to ensure that the benefits do not accrue without limit to the cheaters (42). Polymorphisms might be interpreted as a balance between good citizens and selfish cheaters. A multiplicity of toxin-antitoxin systems might be useful in reducing the rate at which cheaters are generated. This hypothesis and the following ones predict that toxin-antitoxin systems will be beneficial in pure culture or in a structured habitat, such as an agar plate, but may fail to show any benefit in a mixed-liquid culture. (viii) Programmed cell death. Programmed cell death is similar to the process for the preceding hypothesis, except that it requires a heterogeneous response to stress (since no one can benefit if everyone dies) (2, 18, 42). The prediction of heterogeneity might be tested experimentally using green fluorescent protein fusions or other single-cell techniques. Currently, there is no uncontested and unambiguous evidence of toxin-mediated cell death (65). (ix) Antiphage. Since bacteriophage can interfere with host transcription and translation (55), they may activate addictive systems, which would then limit phage production (32, 52), unless the phage could inhibit host proteases (21, 62), neutralize the toxins, or exit the cell before the toxins were activated. Toxin-antitoxin diversity and multiplicity arise as a natural consequence of the host-parasite conflict. Multiple hypotheses may apply. Multiple hypotheses may apply to a single toxin-antitoxin system. In principle, one toxin-antitoxin system could be a parasite (hypothesis iii), could stabilize a larger parasite (hypothesis ii), could benefit individual cells (hypotheses iv, v, and vi), and could benefit the colony, by mediating cooperative (hypothesis vii) and altruistic (hypotheses viii or ix) strategies, all at the same time. At present, however, there is no particularly compelling case for even one of these possibilities. Progress will require interdisciplinary studies and a combination of creativity, collegiality, and critical thinking. Acknowledgments I acknowledge Ry Young for helpful discussions and key intellectual contributions regarding the possible role of toxin-antitoxin systems as a defense against bacteriophages. Notes The views expressed in this Commentary do not necessarily reflect the views of the journal or of ASM. Footnotes Published ahead of print on 6 July 2007.REFERENCES 1. Aguirre-Ramirez, M., J. Ramirez-Santos, L. Van Melderen, and M. C. Gomez-Eichelmann. 2006. Expression of the F plasmid ccd toxin-antitoxin system in Escherichia coli cells under nutritional stress. Can. J. Microbiol. 52:24-30. [PubMed] 2. Aizenman, E., H. Engelberg-Kulka, and G. Glaser. 1996. An Escherichia coli chromosomal “addiction module” regulated by guanosine [corrected] 3′,5′-bispyrophosphate: a model for programmed bacterial cell death. Proc. Natl. Acad. Sci. USA 93:6059-6063. [PubMed] 3. Amitai, S., Y. Yassin, and H. Engelberg-Kulka. 2004. MazF-mediated cell death in Escherichia coli: a point of no return. J. Bacteriol. 186:8295-8300. [PubMed] 4. Anantharaman, V., and L. Aravind. 2003. New connections in the prokaryotic toxin-antitoxin network: relationship with the eukaryotic nonsense-mediated RNA decay system. Genome Biol. 4:R81. [PubMed] 5. Arcus, V. L., K. Backbro, A. Roos, E. L. Daniel, and E. N. Baker. 2004. Distant structural homology leads to the functional characterization of an archaeal PIN domain as an exonuclease. J. Biol. Chem. 279:16471-16478. [PubMed] 6. Bull, J. J., I. J. Molineux, and J. H. Werren. 1992. Selfish genes. Science 256:65. [PubMed] 7. Buts, L., J. Lah, M. H. Dao-Thi, L. Wyns, and R. Loris. 2005. Toxin-antitoxin modules as bacterial metabolic stress managers. Trends Biochem. Sci. 30:672-679. [PubMed] 8. Chao, L., and B. R. Levin. 1981. Structured habitats and the evolution of anticompetitor toxins in bacteria. Proc. Natl. Acad. Sci. USA 78:6324-6328. [PubMed] 9. Christensen, S. K., G. Maenhaut-Michel, N. Mine, S. Gottesman, K. Gerdes, and L. Van Melderen. 2004. Overproduction of the Lon protease triggers inhibition of translation in Escherichia coli: involvement of the yefM-yoeB toxin-antitoxin system. Mol. Microbiol. 51:1705-1717. [PubMed] 10. Christensen, S. K., M. Mikkelsen, K. Pedersen, and K. Gerdes. 2001. RelE, a global inhibitor of translation, is activated during nutritional stress. Proc. Natl. Acad. Sci. USA 98:14328-14333. [PubMed] 11. Christensen, S. K., K. Pedersen, F. G. Hansen, and K. Gerdes. 2003. Toxin-antitoxin loci as stress-response-elements: ChpAK/MazF and ChpBK cleave translated RNAs and are counteracted by tmRNA. J. Mol. Biol. 332:809-819. [PubMed] 12. Christensen-Dalsgaard, M., and K. Gerdes. 2006. Two higBA loci in the Vibrio cholerae superintegron encode mRNA cleaving enzymes and can stabilize plasmids. Mol. Microbiol. 62:397-411. [PubMed] 13. Condon, C. 2006. Shutdown decay of mRNA. Mol. Microbiol. 61:573-583. [PubMed] 14. Cooper, T. F., and J. A. Heinemann. 2000. Postsegregational killing does not increase plasmid stability but acts to mediate the exclusion of competing plasmids. Proc. Natl. Acad. Sci. USA 97:12643-12648. [PubMed] 15. Cooper, T. F., and J. A. Heinemann. 2005. Selection for plasmid post-segregational killing depends on multiple infection: evidence for the selection of more virulent parasites through parasite-level competition. Proc. Biol Sci. 272:403-410. [PubMed] 16. DeShazer, D. 2004. Genomic diversity of Burkholderia pseudomallei clinical isolates: subtractive hybridization reveals a Burkholderia mallei-specific prophage in B. pseudomallei 1026b. J. Bacteriol. 186:3938-3950. [PubMed] 17. Dziewit, L., M. Jazurek, L. Drewniak, J. Baj, and D. Bartosik. 2007. The SXT conjugative element and linear prophage N15 encode toxin-antitoxin-stabilizing systems homologous to the tad-ata module of the Paracoccus aminophilus plasmid pAMI2. J. Bacteriol. 189:1983-1997. [PubMed] 18. Engelberg-Kulka, H., S. Amitai, I. Kolodkin-Gal, and R. Hazan. 2006. Bacterial programmed cell death and multicellular behavior in bacteria. PLoS Genet. 2:e135. [PubMed] 19. Engelberg-Kulka, H., and G. Glaser. 1999. Addiction modules and programmed cell death and antideath in bacterial cultures. Annu. Rev. Microbiol. 53:43-70. [PubMed] 20. Engelberg-Kulka, H., R. Hazan, and S. Amitai. 2005. mazEF: a chromosomal toxin-antitoxin module that triggers programmed cell death in bacteria. J. Cell Sci. 118:4327-4332. [PubMed] 21. Engelberg-Kulka, H., M. Reches, S. Narasimhan, R. Schoulaker-Schwarz, Y. Klemes, E. Aizenman, and G. Glaser. 1998. rexB of bacteriophage lambda is an anti-cell death gene. Proc. Natl. Acad. Sci. USA 95:15481-15486. [PubMed] 22. Fico, S., and J. Mahillon. 2006. TasA-tasB, a new putative toxin-antitoxin (TA) system from Bacillus thuringiensis pGI1 plasmid is a widely distributed composite mazE-doc TA system. BMC Genomics 7:259. [PubMed] 23. Gerdes, K. 2000. Toxin-antitoxin modules may regulate synthesis of macromolecules during nutritional stress. J. Bacteriol. 182:561-572. [PubMed] 24. Gerdes, K., S. K. Christensen, and A. Lobner-Olesen. 2005. Prokaryotic toxin-antitoxin stress response loci. Nat. Rev. Microbiol. 3:371-382. [PubMed] 25. Gerdes, K., and E. G. Wagner. 2007. RNA antitoxins. Curr. Opin. Microbiol. 10:117-124. [PubMed] 26. Gotfredsen, M., and K. Gerdes. 1998. The Escherichia coli relBE genes belong to a new toxin-antitoxin gene family. Mol. Microbiol. 29:1065-1076. [PubMed] 27. Grady, R., and F. Hayes. 2003. Axe-Txe, a broad-spectrum proteic toxin-antitoxin system specified by a multidrug-resistant, clinical isolate of Enterococcus faecium. Mol. Microbiol. 47:1419-1432. [PubMed] 28. Handa, N., Y. Nakayama, M. Sadykov, and I. Kobayashi. 2001. Experimental genome evolution: large-scale genome rearrangements associated with resistance to replacement of a chromosomal restriction-modification gene complex. Mol. Microbiol. 40:932-940. [PubMed] 29. Hayes, C. S., and R. T. Sauer. 2003. Toxin-antitoxin pairs in bacteria: killers or stress regulators? Cell 112:2-4. [PubMed] 30. Hayes, F. 1998. A family of stability determinants in pathogenic bacteria. J. Bacteriol. 180:6415-6418. [PubMed] 31. Hayes, F. 2003. Toxins-antitoxins: plasmid maintenance, programmed cell death, and cell cycle arrest. Science 301:1496-1499. [PubMed] 32. Hazan, R., and H. Engelberg-Kulka. 2004. Escherichia coli mazEF-mediated cell death as a defense mechanism that inhibits the spread of phage P1. Mol. Genet. Genomics 272:227-234. [PubMed] 33. Hazan, R., B. Sat, and H. Engelberg-Kulka. 2004. Escherichia coli mazEF-mediated cell death is triggered by various stressful conditions. J. Bacteriol. 186:3663-3669. [PubMed] 34. Hazan, R., B. Sat, M. Reches, and H. Engelberg-Kulka. 2001. Postsegregational killing mediated by the P1 phage “addiction module” phd-doc requires the Escherichia coli programmed cell death system mazEF. J. Bacteriol. 183:2046-2050. [PubMed] 35. Jensen, R. B., and K. Gerdes. 1995. Programmed cell death in bacteria: proteic plasmid stabilization systems. Mol. Microbiol. 17:205-210. [PubMed] 36. Keren, I., D. Shah, A. Spoering, N. Kaldalu, and K. Lewis. 2004. Specialized persister cells and the mechanism of multidrug tolerance in Escherichia coli. J. Bacteriol. 186:8172-8180. [PubMed] 37. Kobayashi, I. 2004. Genetic addiction: a principle of gene symbiosis in a genome, p.105-144. In B. E. Funnel and G. J. Phillips (ed.), Plasmid biology. ASM Press, Washington, DC. 38. Kolodkin-Gal, I., and H. Engelberg-Kulka. 2006. Induction of Escherichia coli chromosomal mazEF by stressful conditions causes an irreversible loss of viability. J. Bacteriol. 188:3420-3423. [PubMed] 39. Korch, S. B., T. A. Henderson, and T. M. Hill. 2003. Characterization of the hipA7 allele of Escherichia coli and evidence that high persistence is governed by (p)ppGpp synthesis. Mol. Microbiol. 50:1199-1213. [PubMed] 40. Kussell, E., R. Kishony, N. Q. Balaban, and S. Leibler. 2005. Bacterial persistence: a model of survival in changing environments. Genetics 169:1807-1814. [PubMed] 41. Lerat, E., and H. Ochman. 2005. Recognizing the pseudogenes in bacterial genomes. Nucleic Acids Res. 33:3125-3132. [PubMed] 42. Lewis, K. 2000. Programmed death in bacteria. Microbiol. Mol. Biol. Rev. 64:503-514. [PubMed] 43. Magnuson, R., and M. B. Yarmolinsky. 1998. Corepression of the P1 addiction operon by Phd and Doc. J. Bacteriol. 180:6342-6351. [PubMed] 44. McKinley, J. E., and R. D. Magnuson. 2005. Characterization of the Phd repressor-antitoxin boundary. J. Bacteriol. 187:765-770. [PubMed] 45. Mochizuki, A., K. Yahara, I. Kobayashi, and Y. Iwasa. 2006. Genetic addiction: selfish gene's strategy for symbiosis in the genome. Genetics 172:1309-1323. [PubMed] 46. Mongold, J. A. 1992. Theoretical implications for the evolution of postsegregational killing by bacterial plasmids. Am. Nat. 139:677-689. 47. Muñoz-Gómez, A. J., M. Lemonnier, S. Santos-Sierra, A. Berzal-Herranz, and R. Díaz-Orejas. 2005. RNase/anti-RNase activities of the bacterial parD toxin-antitoxin system. J. Bacteriol. 187:3151-3157. [PubMed] 48. Naito, T., K. Kusano, and I. Kobayashi. 1995. Selfish behavior of restriction-modification systems. Science 267:897-899. [PubMed] 49. Nobusato, A., I. Uchiyama, and I. Kobayashi. 2000. Diversity of restriction-modification gene homologues in Helicobacter pylori. Gene 259:89-98. [PubMed] 50. Ochman, H., and L. M. Davalos. 2006. The nature and dynamics of bacterial genomes. Science 311:1730-1733. [PubMed] 51. Pandey, D. P., and K. Gerdes. 2005. Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes. Nucleic Acids Res. 33:966-976. [PubMed] 52. Pecota, D. C., and T. K. Wood. 1996. Exclusion of T4 phage by the hok/sok killer locus from plasmid R1. J. Bacteriol. 178:2044-2050. [PubMed] 53. Pedersen, K., S. K. Christensen, and K. Gerdes. 2002. Rapid induction and reversal of a bacteriostatic condition by controlled expression of toxins and antitoxins. Mol. Microbiol. 45:501-510. [PubMed] 54. Pimentel, B., M. A. Madine, and G. de la Cueva-Mendez. 2005. Kid cleaves specific mRNAs at UUACU sites to rescue the copy number of plasmid R1. EMBO J. 24:3459-3469. [PubMed] 55. Pineda, M., B. D. Gregory, B. Szczypinski, K. R. Baxter, A. Hochschild, E. S. Miller, and D. M. Hinton. 2004. A family of anti-sigma70 proteins in T4-type phages and bacteria that are similar to AsiA, a transcription inhibitor and co-activator of bacteriophage T4. J. Mol. Biol. 344:1183-1197. [PubMed] 56. Rawlings, D. E. 1999. Proteic toxin-antitoxin, bacterial plasmid addiction systems and their evolution with special reference to the pas system of pTF-FC2. FEMS Microbiol. Lett. 176:269-277. [PubMed] 57. Rice, K. C., and K. W. Bayles. 2003. Death's toolbox: examining the molecular components of bacterial programmed cell death. Mol. Microbiol. 50:729-738. [PubMed] 58. Riley, M., T. Abe, M. B. Arnaud, M. K. Berlyn, F. R. Blattner, R. R. Chaudhuri, J. D. Glasner, T. Horiuchi, I. M. Keseler, T. Kosuge, H. Mori, N. T. Perna, G. Plunkett III, K. E. Rudd, M. H. Serres, G. H. Thomas, N. R. Thomson, D. Wishart, and B. L. Wanner. 2006. Escherichia coli K-12: a cooperatively developed annotation snapshot-2005. Nucleic Acids Res. 34:1-9. [PubMed] 59. Riley, M. A., L. Cadavid, M. S. Collett, M. N. Neely, M. D. Adams, C. M. Phillips, J. V. Neel, and D. Friedman. 2000. The newly characterized colicin Y provides evidence of positive selection in pore-former colicin diversification. Microbiology 146:1671-1677. [PubMed] 60. Ruiz-Echevarría, M. J., G. de la Cueva, and R. Díaz-Orejas. 1995. Translational coupling and limited degradation of a polycistronic messenger modulate differential gene expression in the parD stability system of plasmid R1. Mol. Gen. Genet. 248:599-609. [PubMed] 61. Sat, B., R. Hazan, T. Fisher, H. Khaner, G. Glaser, and H. Engelberg-Kulka. 2001. Programmed cell death in Escherichia coli: some antibiotics can trigger mazEF lethality. J. Bacteriol. 183:2041-2045. [PubMed] 62. Skorupski, K., J. Tomaschewski, W. Ruger, and L. D. Simon. 1988. A bacteriophage T4 gene which functions to inhibit Escherichia coli Lon protease. J. Bacteriol. 170:3016-3024. [PubMed] 63. Smith, J. A., and R. D. Magnuson. 2004. Modular organization of the Phd repressor/antitoxin protein. J. Bacteriol. 186:2692-2698. [PubMed] 64. Spratt, B. G., W. P. Hanage, and E. J. Feil. 2001. The relative contributions of recombination and point mutation to the diversification of bacterial clones. Curr. Opin. Microbiol. 4:602-606. [PubMed] 65. Tsilibaris, V., G. Maenhaut-Michel, N. Mine, and L. Van Melderen. 2007. What is the benefit to Escherichia coli of having multiple toxin-antitoxin systems in its genome? J. Bacteriol. 189:6101-6108. [PubMed] 66. Tyndall, C., H. Lehnherr, U. Sandmeier, E. Kulik, and T. A. Bickle. 1997. The type IC hsd loci of the enterobacteria are flanked by DNA with high homology to the phage P1 genome: implications for the evolution and spread of DNA restriction systems. Mol. Microbiol. 23:729-736. [PubMed] 67. Wilbaux, M., N. Mine, A. M. Guerout, D. Mazel, and L. Van Melderen. 2007. Functional interactions between coexisting toxin-antitoxin systems of the ccd family in Escherichia coli O157:H7. J. Bacteriol. 189:2712-2719. [PubMed] 68. Yarmolinsky, M. B. 1995. Programmed cell death in bacterial populations. Science 267:836-837. [PubMed] 69. Zhang, Y., J. Zhang, K. P. Hoeflich, M. Ikura, G. Qing, and M. Inouye. 2003. MazF cleaves cellular mRNAs specifically at ACA to block protein synthesis in Escherichia coli. Mol. Cell 12:913-923. [PubMed] 70. Zielenkiewicz, U., and P. Ceglowski. 2001. Mechanisms of plasmid stable maintenance with special focus on plasmid addiction systems. Acta Biochim. Pol. 48:1003-1023. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||
Mol Microbiol. 1995 Jul; 17(2):205-10.
[Mol Microbiol. 1995]J Bacteriol. 2007 Sep; 189(17):6101-8.
[J Bacteriol. 2007]Mol Microbiol. 1995 Jul; 17(2):205-10.
[Mol Microbiol. 1995]J Bacteriol. 1998 Dec; 180(23):6342-51.
[J Bacteriol. 1998]J Bacteriol. 2001 Mar; 183(6):2041-5.
[J Bacteriol. 2001]Proc Natl Acad Sci U S A. 2001 Dec 4; 98(25):14328-33.
[Proc Natl Acad Sci U S A. 2001]Proc Natl Acad Sci U S A. 1996 Jun 11; 93(12):6059-63.
[Proc Natl Acad Sci U S A. 1996]J Bacteriol. 2001 Mar; 183(6):2046-50.
[J Bacteriol. 2001]Mol Microbiol. 2004 Mar; 51(6):1705-17.
[Mol Microbiol. 2004]J Biol Chem. 2004 Apr 16; 279(16):16471-8.
[J Biol Chem. 2004]Trends Biochem Sci. 2005 Dec; 30(12):672-9.
[Trends Biochem Sci. 2005]Acta Biochim Pol. 2001; 48(4):1003-23.
[Acta Biochim Pol. 2001]Mol Microbiol. 2006 Aug; 61(3):573-83.
[Mol Microbiol. 2006]J Bacteriol. 2004 Dec; 186(24):8295-300.
[J Bacteriol. 2004]Nucleic Acids Res. 2005; 33(3):966-76.
[Nucleic Acids Res. 2005]Mol Microbiol. 1997 Feb; 23(4):729-36.
[Mol Microbiol. 1997]J Bacteriol. 2007 Apr; 189(7):2712-9.
[J Bacteriol. 2007]Gene. 2000 Dec 23; 259(1-2):89-98.
[Gene. 2000]Microbiology. 2000 Jul; 146 ( Pt 7)():1671-7.
[Microbiology. 2000]Nucleic Acids Res. 2005; 33(10):3125-32.
[Nucleic Acids Res. 2005]Science. 2006 Mar 24; 311(5768):1730-3.
[Science. 2006]J Bacteriol. 2007 Mar; 189(5):1983-97.
[J Bacteriol. 2007]J Bacteriol. 2004 Jun; 186(12):3938-50.
[J Bacteriol. 2004]Nucleic Acids Res. 2006; 34(1):1-9.
[Nucleic Acids Res. 2006]Mol Microbiol. 2001 May; 40(4):932-40.
[Mol Microbiol. 2001]Proc Natl Acad Sci U S A. 2000 Nov 7; 97(23):12643-8.
[Proc Natl Acad Sci U S A. 2000]Proc Biol Sci. 2005 Feb 22; 272(1561):403-10.
[Proc Biol Sci. 2005]Genetics. 2006 Feb; 172(2):1309-23.
[Genetics. 2006]Proc Natl Acad Sci U S A. 1981 Oct; 78(10):6324-8.
[Proc Natl Acad Sci U S A. 1981]Mol Gen Genet. 1995 Sep 20; 248(5):599-609.
[Mol Gen Genet. 1995]Mol Cell. 2003 Oct; 12(4):913-23.
[Mol Cell. 2003]J Bacteriol. 2005 May; 187(9):3151-7.
[J Bacteriol. 2005]EMBO J. 2005 Oct 5; 24(19):3459-69.
[EMBO J. 2005]PLoS Genet. 2006 Oct; 2(10):e135.
[PLoS Genet. 2006]Can J Microbiol. 2006 Jan; 52(1):24-30.
[Can J Microbiol. 2006]Trends Biochem Sci. 2005 Dec; 30(12):672-9.
[Trends Biochem Sci. 2005]Proc Natl Acad Sci U S A. 2001 Dec 4; 98(25):14328-33.
[Proc Natl Acad Sci U S A. 2001]J Bacteriol. 2004 Jun; 186(11):3663-9.
[J Bacteriol. 2004]J Bacteriol. 2006 May; 188(9):3420-3.
[J Bacteriol. 2006]J Bacteriol. 2004 Dec; 186(24):8172-80.
[J Bacteriol. 2004]Mol Microbiol. 2003 Nov; 50(4):1199-213.
[Mol Microbiol. 2003]Genetics. 2005 Apr; 169(4):1807-14.
[Genetics. 2005]Microbiol Mol Biol Rev. 2000 Sep; 64(3):503-14.
[Microbiol Mol Biol Rev. 2000]Proc Natl Acad Sci U S A. 1996 Jun 11; 93(12):6059-63.
[Proc Natl Acad Sci U S A. 1996]PLoS Genet. 2006 Oct; 2(10):e135.
[PLoS Genet. 2006]Microbiol Mol Biol Rev. 2000 Sep; 64(3):503-14.
[Microbiol Mol Biol Rev. 2000]J Bacteriol. 2007 Sep; 189(17):6101-8.
[J Bacteriol. 2007]J Mol Biol. 2004 Dec 10; 344(5):1183-97.
[J Mol Biol. 2004]Mol Genet Genomics. 2004 Sep; 272(2):227-34.
[Mol Genet Genomics. 2004]J Bacteriol. 1996 Apr; 178(7):2044-50.
[J Bacteriol. 1996]Proc Natl Acad Sci U S A. 1998 Dec 22; 95(26):15481-6.
[Proc Natl Acad Sci U S A. 1998]J Bacteriol. 1988 Jul; 170(7):3016-24.
[J Bacteriol. 1988]Mol Microbiol. 1995 Jul; 17(2):205-10.
[Mol Microbiol. 1995]Mol Microbiol. 1997 Feb; 23(4):729-36.
[Mol Microbiol. 1997]Mol Microbiol. 2006 Oct; 62(2):397-411.
[Mol Microbiol. 2006]Mol Microbiol. 1998 Aug; 29(4):1065-76.
[Mol Microbiol. 1998]Science. 1995 Feb 10; 267(5199):897-9.
[Science. 1995]Annu Rev Microbiol. 1999; 53():43-70.
[Annu Rev Microbiol. 1999]J Bacteriol. 2000 Feb; 182(3):561-72.
[J Bacteriol. 2000]Cell. 2003 Jan 10; 112(1):2-4.
[Cell. 2003]Science. 2003 Sep 12; 301(5639):1496-9.
[Science. 2003]Mol Microbiol. 1995 Jul; 17(2):205-10.
[Mol Microbiol. 1995]Genome Biol. 2003; 4(12):R81.
[Genome Biol. 2003]Nucleic Acids Res. 2005; 33(3):966-76.
[Nucleic Acids Res. 2005]BMC Genomics. 2006 Oct 13; 7():259.
[BMC Genomics. 2006]Mol Microbiol. 2003 Mar; 47(5):1419-32.
[Mol Microbiol. 2003]J Bacteriol. 1998 Dec; 180(23):6415-8.
[J Bacteriol. 1998]