期刊文献+

元胞自动机在细菌通讯演化模型研究中的可行性 被引量:1

Feasibility of the Study on Bacterium Communication Evolution Model Based on Cellular Automata
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摘要 根据细菌的群体感应机制,采用元胞自动机研究方法,建立了细菌信息通讯的演化模型,并利用计算机仿真细菌通讯的演化过程,比较直观地反映了细菌通讯的演化行为。仿真结果发现,模型中细菌的初始密度及细菌的移动特性对演化的效果有很大的影响。 At present,bacterium communication has been a new focus in microorganism research field. Adopting cellular automata research method, the authors establish an bacterium communication evolution model based on the quorum-sensing mechanism, and simulate the evolution process of bacterium communication that could intuitively reflect the evolution behavior of bacterium communication. The simulation shows that the the final evolution results are greatly affected by the initial denstiy and mobility feature of bacterium.
机构地区 武汉理工大学
出处 《复杂系统与复杂性科学》 EI CSCD 2009年第2期50-55,共6页 Complex Systems and Complexity Science
关键词 细菌通讯 群感效应 信号分子 元胞自动机 演化模型 复杂性 bacterial communication quorum-sensing signaling molecule cellular automata evolution model complexity
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参考文献14

  • 1Miller M B,Bassler B L.Quorum sensing in bacteria[J].Annu Ren Microbiol,2001,55:165-199.
  • 2Fuqua W C,Winans S C,Greenberg E P.Quorum sensing in bacteria:the LuxR-LuxI family of cell density-responsive transcriptional regulator[J].J Bacteriol,1994,176:269-275.
  • 3Degrassi G,Aguilar C,Bosco M,et al.Plant growth-promoting pseudomonas putida WCS358 produces and secretes four cyclic dipeptides:cross-talk with quorum sensing bacterial sensors[J].Current Microbial,2002,45:250-254.
  • 4Davies D G,Parsek M R,Pearson J P,et al.The involvement of cell-to-cell signals in the development of a bacterial biofilm[J].Science,1998,280:295-298.
  • 5Chen L N,Wang R Q,Zhou T S,et al.Noise-induced cooperative behavior in a multicell system[J].Bioinformatics,2005,21(11):2722-2729.
  • 6Greenberg E P.Bacterial communication and group behavior[J].The Journal of Clinical Investigation,2003,112(9):1288-1290.
  • 7Jacob E B,Becker I,Shapira Y,et al.Bacterial linguistic communication and social intelligence[J].Trends in Microbiology,2004,12(8):366-372.
  • 8Bulter T,Lee S G,Wong W W,et al.Design of artificial cell cell communication using gene and metabolic networks[J].PNAS,2004,101(8):2299-2304.
  • 9Zhou T S,Chen L N,Aihara K.Molecular communication through stochastic synchronization induced by extracellular fluctuations[J].Physical Review Letters,2005,95(17):178103.
  • 10Goldbeter A.Computational approaches to cellular rhythms[J].Nature,2002,420(14):238-245.

二级参考文献75

  • 1康白,袁杰利.乳酸菌的微生态学研究进展[J].中国微生态学杂志,2005,17(3):237-239. 被引量:16
  • 2[1]Dworkin M. Microbial cell-cell interactions. 1991
  • 3[2]Fuqua WC et al. J Bacteriol, 1994, 176:269-275
  • 4[3]Ruby EG. Annu Rev Microbiol, 1996, 50:591-624
  • 5[4]Miller M et al.Annu Rev Microbiol, 2001, 55:165-199
  • 6[5]Smith RS et al. Curr Opin Microbiol, 2003, 6:56-60
  • 7[6]Whitehead NA et al. FEMS Microbiol Rev, 2001, 25:365-404
  • 8[7]Zhu J et al. J Bacteriol, 2000, 182:3885-3895
  • 9[8]Marketon MM et al. J Bacteriol, 2002, 184:5686-5695
  • 10[9]More MI et al. Science, 1996, 272:1655-1658

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