Adaptive Prediction As a Strategy in Microbial Infections

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Vyšlo v časopise: Adaptive Prediction As a Strategy in Microbial Infections. PLoS Pathog 10(10): e32767. doi:10.1371/journal.ppat.1004356
Kategorie: Pearls
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.ppat.1004356

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1. PerkinsTJ, SwainPS (2009) Strategies for cellular decision-making. Mol Syst Biol 5: 326.

2. MitchellA, RomanoGH, GroismanB, YonaA, DekelE, et al. (2009) Adaptive prediction of environmental changes by microorganisms. Nature 460: 220–224.

3. TagkopoulosI, LiuYC, TavazoieS (2008) Predictive behavior within microbial genetic networks. Science 320: 1313–1317.

4. HamnerS, McInnerneyK, WilliamsonK, FranklinMJ, FordTE (2013) Bile salts affect expression of Escherichia coli O157:H7 genes for virulence and iron acquisition, and promote growth under iron limiting conditions. PLoS ONE 8: e74647.

5. GunnJS (2000) Mechanisms of bacterial resistance and response to bile. Microbes Infect 2: 907–913.

6. SchildS, TamayoR, NelsonEJ, QadriF, CalderwoodSB, et al. (2007) Genes induced late in infection increase fitness of Vibrio cholerae after release into the environment. Cell Host Microbe 2: 264–277.

7. JacobsenID, WilsonD, WächtlerB, BrunkeS, NaglikJR, et al. (2012) Candida albicans dimorphism as a therapeutic target. Expert Rev Anti Infect Ther 10: 85–93.

8. AlmeidaRS, BrunkeS, AlbrechtA, ThewesS, LaueM, et al. (2008) The hyphal-associated adhesin and invasin Als3 of Candida albicans mediates iron acquisition from host ferritin. PLoS Pathog 4: e1000217.

9. RodakiA, BohovychIM, EnjalbertB, YoungT, OddsFC, et al. (2009) Glucose promotes stress resistance in the fungal pathogen Candida albicans. Mol Biol Cell 20: 4845–4855.

10. BensenES, MartinSJ, LiM, BermanJ, DavisDA (2004) Transcriptional profiling in Candida albicans reveals new adaptive responses to extracellular pH and functions for Rim101p. Mol Microbiol 54: 1335–1351.

11. CitiuloF, JacobsenID, MiramonP, SchildL, BrunkeS, et al. (2012) Candida albicans scavenges host zinc via Pra1 during endothelial invasion. PLoS Pathog 8: e1002777.

12. MitchellA, PilpelY (2011) A mathematical model for adaptive prediction of environmental changes by microorganisms. Proc Natl Acad Sci U S A 108: 7271–7276.

13. AverySV (2006) Microbial cell individuality and the underlying sources of heterogeneity. Nat Rev Microbiol 4: 577–587.

14. AcarM, MettetalJT, van OudenaardenA (2008) Stochastic switching as a survival strategy in fluctuating environments. Nat Genet 40: 471–475.

15. BatonLA, Ranford-CartwrightLC (2005) Spreading the seeds of million-murdering death: metamorphoses of malaria in the mosquito. Trends Parasitol 21: 573–580.

16. PeateyCL, Skinner-AdamsTS, DixonMW, McCarthyJS, GardinerDL, et al. (2009) Effect of antimalarial drugs on Plasmodium falciparum gametocytes. J Infect Dis 200: 1518–1521.

17. CarterLM, KafsackBF, LlinasM, MideoN, PollittLC, et al. (2013) Stress and sex in malaria parasites: Why does commitment vary? Evol Med Public Health 2013: 135–147.

18. MillerJF, MekalanosJJ, FalkowS (1989) Coordinate regulation and sensory transduction in the control of bacterial virulence. Science 243: 916–922.

19. DharR, SagesserR, WeikertC, WagnerA (2013) Yeast adapts to a changing stressful environment by evolving cross-protection and anticipatory gene regulation. Mol Biol Evol 30: 573–588.

20. SorekM, BalabanNQ, LoewensteinY (2013) Stochasticity, bistability and the wisdom of crowds: a model for associative learning in genetic regulatory networks. PLoS Comput Biol 9: e1003179.

21. McGregorS, VasasV, HusbandsP, FernandoC (2012) Evolution of associative learning in chemical networks. PLoS Comput Biol 8: e1002739.