#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Evolutionary Tuning of Protein Expression Levels of a Positively Autoregulated Two-Component System


Cellular adaptation relies on the development of proper regulatory schemes for accurate control of gene expression levels in response to environmental cues. Over- or under-expression can lead to diminished cell fitness due to increased costs or insufficient benefits. Positive autoregulation is a common regulatory scheme that controls protein expression levels and gives rise to essential features in diverse signaling systems, yet its roles in cell fitness are less understood. It remains largely unknown how much protein expression is ‘appropriate’ for optimal cell fitness under specific extracellular conditions and how the dynamic environment shapes the regulatory scheme to reach appropriate expression levels. Here, we investigate the correlation of cell fitness and output response with protein expression levels of the E. coli PhoB/PhoR two-component system (TCS). In response to phosphate (Pi)-depletion, the PhoB/PhoR system activates genes involved in phosphorus assimilation as well as genes encoding themselves, similarly to many other positively autoregulated TCSs. We developed a bacteria competition assay in continuous cultures and discovered that different Pi conditions have conflicting requirements of protein expression levels for optimal cell fitness. Pi-replete conditions favored cells with low levels of PhoB/PhoR while Pi-deplete conditions selected for cells with high levels of PhoB/PhoR. These two levels matched PhoB/PhoR concentrations achieved via positive autoregulation in wild-type cells under Pi-replete and -deplete conditions, respectively. The fitness optimum correlates with the wild-type expression level, above which the phosphorylation output saturates, thus further increase in expression presumably provides no additional benefits. Laboratory evolution experiments further indicate that cells with non-ideal protein levels can evolve toward the optimal levels with diverse mutational strategies. Our results suggest that the natural protein expression levels and feedback regulatory schemes of TCSs are evolved to match the phosphorylation output of the system, which is determined by intrinsic activities of TCS proteins.


Vyšlo v časopise: Evolutionary Tuning of Protein Expression Levels of a Positively Autoregulated Two-Component System. PLoS Genet 9(10): e32767. doi:10.1371/journal.pgen.1003927
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003927

Souhrn

Cellular adaptation relies on the development of proper regulatory schemes for accurate control of gene expression levels in response to environmental cues. Over- or under-expression can lead to diminished cell fitness due to increased costs or insufficient benefits. Positive autoregulation is a common regulatory scheme that controls protein expression levels and gives rise to essential features in diverse signaling systems, yet its roles in cell fitness are less understood. It remains largely unknown how much protein expression is ‘appropriate’ for optimal cell fitness under specific extracellular conditions and how the dynamic environment shapes the regulatory scheme to reach appropriate expression levels. Here, we investigate the correlation of cell fitness and output response with protein expression levels of the E. coli PhoB/PhoR two-component system (TCS). In response to phosphate (Pi)-depletion, the PhoB/PhoR system activates genes involved in phosphorus assimilation as well as genes encoding themselves, similarly to many other positively autoregulated TCSs. We developed a bacteria competition assay in continuous cultures and discovered that different Pi conditions have conflicting requirements of protein expression levels for optimal cell fitness. Pi-replete conditions favored cells with low levels of PhoB/PhoR while Pi-deplete conditions selected for cells with high levels of PhoB/PhoR. These two levels matched PhoB/PhoR concentrations achieved via positive autoregulation in wild-type cells under Pi-replete and -deplete conditions, respectively. The fitness optimum correlates with the wild-type expression level, above which the phosphorylation output saturates, thus further increase in expression presumably provides no additional benefits. Laboratory evolution experiments further indicate that cells with non-ideal protein levels can evolve toward the optimal levels with diverse mutational strategies. Our results suggest that the natural protein expression levels and feedback regulatory schemes of TCSs are evolved to match the phosphorylation output of the system, which is determined by intrinsic activities of TCS proteins.


Zdroje

1. StockAM, RobinsonVL, GoudreauPN (2000) Two-component signal transduction. Annu Rev Biochem 69: 183–215.

2. CapraEJ, LaubMT (2012) Evolution of two-component signal transduction systems. Annu Rev Microbiol 66: 325–347.

3. GalperinMY (2010) Diversity of structure and function of response regulator output domains. Curr Opin Microbiol 13: 150–159.

4. HermsenR, EricksonDW, HwaT (2011) Speed, sensitivity, and bistability in auto-activating signaling circuits. PLoS Comput Biol 7: e1002265.

5. MitrophanovAY, GroismanEA (2008) Positive feedback in cellular control systems. Bioessays 30: 542–555.

6. GoulianM (2010) Two-component signaling circuit structure and properties. Curr Opin Microbiol 13: 184–189.

7. MiyashiroT, GoulianM (2008) High stimulus unmasks positive feedback in an autoregulated bacterial signaling circuit. Proc Natl Acad Sci USA 105: 17457–17462.

8. RayJC, IgoshinOA (2010) Adaptable functionality of transcriptional feedback in bacterial two-component systems. PLoS Comput Biol 6: e1000676.

9. IgoshinOA, BrodyMS, PriceCW, SavageauMA (2007) Distinctive topologies of partner-switching signaling networks correlate with their physiological roles. J Mol Biol 369: 1333–1352.

10. FerrellJEJr (2002) Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability. Curr Opin Cell Biol 14: 140–148.

11. SmitsWK, KuipersOP, VeeningJW (2006) Phenotypic variation in bacteria: the role of feedback regulation. Nat Rev Microbiol 4: 259–271.

12. LevineJH, FontesME, DworkinJ, ElowitzMB (2012) Pulsed feedback defers cellular differentiation. PLoS Biol 10: e1001252.

13. WilliamsCL, CotterPA (2007) Autoregulation is essential for precise temporal and steady-state regulation by the Bordetella BvgAS phosphorelay. J Bacteriol 189: 1974–1982.

14. TiwariA, RayJC, NarulaJ, IgoshinOA (2011) Bistable responses in bacterial genetic networks: designs and dynamical consequences. Math Biosci 231: 76–89.

15. MukhopadhyayA, GaoR, LynnDG (2004) Integrating input from multiple signals: the VirA/VirG two-component system of Agrobacterium tumefaciens. Chembiochem 5: 1535–1542.

16. GaoR, LynnDG (2005) Environmental pH sensing: resolving the VirA/VirG two-component system inputs for Agrobacterium pathogenesis. J Bacteriol 187: 2182–2189.

17. ClarkeMB, SperandioV (2005) Transcriptional autoregulation by quorum sensing Escherichia coli regulators B and C (QseBC) in enterohaemorrhagic E. coli (EHEC). Mol Microbiol 58: 441–455.

18. PerezJC, GroismanEA (2007) Acid pH activation of the PmrA/PmrB two-component regulatory system of Salmonella enterica. Mol Microbiol 63: 283–293.

19. GaoR, StockAM (2013) Probing kinase and phosphatase activities of two-component systems in vivo with concentration-dependent phosphorylation profiling. Proc Natl Acad Sci USA 110: 672–677.

20. Wanner BL (1996) Phosphorus assimilation and control of the phosphate regulon. In: Neidhardt FC, Curtiss III R, Ingraham JL, Lin ECC, Low KB, Jr et al.., editors. Escherichia coli and Salmonella. Washington, D.C.: American Society for Microbiology Press. pp. 1357–1381.

21. HsiehYJ, WannerBL (2010) Global regulation by the seven-component Pi signaling system. Curr Opin Microbiol 13: 198–203.

22. GentryDR, HernandezVJ, NguyenLH, JensenDB, CashelM (1993) Synthesis of the stationary-phase sigma factor σs is positively regulated by ppGpp. J Bacteriol 175: 7982–7989.

23. TaschnerNP, YagilE, SpiraB (2004) A differential effect of σs on the expression of the PHO regulon genes of Escherichia coli. Microbiology 150: 2985–2992.

24. SteedPM, WannerBL (1993) Use of the rep technique for allele replacement to constuct mutants with deletions of the pstSCAB-phoU operon: evidence of a new role for the PhoU protein in the phosphate regulon. J Bacteriol 175: 6797–6809.

25. HaldimannA, DanielsLL, WannerBL (1998) Use of new methods for construction of tightly regulated arabinose and rhamnose promoter fusions in studies of the Escherichia coli phosphate regulon. J Bacteriol 180: 1277–1286.

26. PriceMN, DeutschbauerAM, SkerkerJM, WetmoreKM, RuthsT, et al. (2013) Indirect and suboptimal control of gene expression is widespread in bacteria. Mol Syst Biol 9: 660.

27. DekelE, AlonU (2005) Optimality and evolutionary tuning of the expression level of a protein. Nature 436: 588–592.

28. StoebelDM, DeanAM, DykhuizenDE (2008) The cost of expression of Escherichia coli lac operon proteins is in the process, not in the products. Genetics 178: 1653–1660.

29. FoucaultML, DepardieuF, CourvalinP, Grillot-CourvalinC (2010) Inducible expression eliminates the fitness cost of vancomycin resistance in enterococci. Proc Natl Acad Sci USA 107: 16964–16969.

30. EamesM, KortemmeT (2012) Cost-benefit tradeoffs in engineered lac operons. Science 336: 911–915.

31. BabuMM, AravindL (2006) Adaptive evolution by optimizing expression levels in different environments. Trends Microbiol 14: 11–14.

32. ShachraiI, ZaslaverA, AlonU, DekelE (2010) Cost of unneeded proteins in E. coli is reduced after several generations in exponential growth. Mol Cell 38: 758–767.

33. KaliskyT, DekelE, AlonU (2007) Cost-benefit theory and optimal design of gene regulation functions. Phys Biol 4: 229–245.

34. ChouHH, MarxCJ (2012) Optimization of gene expression through divergent mutational paths. Cell Rep 1: 133–140.

35. BatchelorE, GoulianM (2003) Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system. Proc Natl Acad Sci USA 100: 691–696.

36. ShinarG, MiloR, MartinezMR, AlonU (2007) Input output robustness in simple bacterial signaling systems. Proc Natl Acad Sci USA 104: 19931–19935.

37. Notley-McRobbL, PintoR, SeetoS, FerenciT (2002) Regulation of mutY and nature of mutator mutations in Escherichia coli populations under nutrient limitation. J Bacteriol 184: 739–745.

38. ZhouL, GregoriG, BlackmanJM, RobinsonJP, WannerBL (2005) Stochastic activation of the response regulator PhoB by noncognate histidine kinases. Journal of Integrative Bioinformatics 2: 11.

39. LaubMT, GoulianM (2007) Specificity in two-component signal transduction pathways. Annu Rev Genet 41: 121–145.

40. IgoshinOA, AlvesR, SavageauMA (2008) Hysteretic and graded responses in bacterial two-component signal transduction. Mol Microbiol 68: 1196–1215.

41. SiryapornA, PerchukBS, LaubMT, GoulianM (2010) Evolving a robust signal transduction pathway from weak cross-talk. Mol Syst Biol 6: 452.

42. ShinD, LeeEJ, HuangH, GroismanEA (2006) A positive feedback loop promotes transcription surge that jump-starts Salmonella virulence circuit. Science 314: 1607–1609.

43. YeoWS, ZwirI, HuangHV, ShinD, KatoA, et al. (2012) Intrinsic negative feedback governs activation surge in two-component regulatory systems. Mol Cell 45: 409–421.

44. DatsenkoKA, WannerBL (2000) One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A 97: 6640–6645.

45. HaldimannA, WannerBL (2001) Conditional-replication, integration, excision, and retrieval plasmid-host systems for gene structure-function studies of bacteria. J Bacteriol 183: 6384–6393.

46. NeidhardtFC, BlochPL, SmithDF (1974) Culture medium for enterobacteria. J Bacteriol 119: 736–747.

47. ChaoL, LevinBR, StewartFM (1977) A Complex Community in a Simple Habitat: An Experimental Study with Bacteria and Phage. Ecology 58: 369–378.

48. MiyashiroT, GoulianM (2007) Single-cell analysis of gene expression by fluorescence microscopy. Methods Enzymol 423: 458–475.

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2013 Číslo 10
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Získaná hemofilie - Povědomí o nemoci a její diagnostika
nový kurz

Eozinofilní granulomatóza s polyangiitidou
Autori: doc. MUDr. Martina Doubková, Ph.D.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#