Literature DB >> 12750324

Theory of time-resolved somatic complementation and its use to explore the sporulation control network in Physarum polycephalum.

Wolfgang Marwan1.   

Abstract

Mutants of Physarum polycephalum can be complemented by fusion of plasmodial cells followed by cytoplasmic mixing. Complementation between strains carrying different mutational defects in the sporulation control network may depend on the signaling state of the network components. We have previously suggested that time-resolved somatic complementation (TRSC) analysis with such mutants may be used to probe network architecture and dynamics. By computer simulation it is now shown how and under which conditions the regulatory hierarchy of genes can be determined experimentally. A kinetic model of the sporulation control network is developed, which is then used to demonstrate how the mechanisms of TRSC can be understood and simulated at the kinetic level. On the basis of theoretical considerations, experimental parameters that determine whether functional complementation of two mutations will occur are identified. It is also shown how gene dosage-effect relationships can be employed for network analysis. The theoretical framework provided may be used to systematically analyze network structure and dynamics through time-resolved somatic complementation studies. The conclusions drawn are of general relevance in that they do not depend on the validity of the model from which they were derived.

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Year:  2003        PMID: 12750324      PMCID: PMC1462557     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  19 in total

1.  A photoreceptor with characteristics of phytochrome triggers sporulation in the true slime mould Physarum polycephalum.

Authors:  C Starostzik; W Marwan
Journal:  FEBS Lett       Date:  1995-08-14       Impact factor: 4.124

2.  A morphogen for the sporulation of Physarum polycephalum detected by cell fusion experiments.

Authors:  A Hildebrandt
Journal:  Exp Cell Res       Date:  1986-12       Impact factor: 3.905

3.  Temperature-sensitive mutants of Physarum polycephalum: viability, growth, and nuclear replication.

Authors:  T G Laffler; A Wilkins; S Selvig; N Warren; A Kleinschmidt; W F Dove
Journal:  J Bacteriol       Date:  1979-05       Impact factor: 3.490

4.  Sporulation in Physarum polycephalum: a model system for studies on differentiation.

Authors:  H W Sauer; K L Babcock; H P Rusch
Journal:  Exp Cell Res       Date:  1969-10       Impact factor: 3.905

5.  Segregation of factors controlling fusion between plasmodia of the true slime mould Physarum polycephalum.

Authors:  R T Poulter; J Dee
Journal:  Genet Res       Date:  1968-08       Impact factor: 1.588

6.  Viability of Physarum polycephalum spores and ploidy of plasmodial nuclei.

Authors:  T G Laffler; W F Dove
Journal:  J Bacteriol       Date:  1977-08       Impact factor: 3.490

Review 7.  Patterns of inheritance, development and the mitotic cycle in the protist Physarum polycephalum.

Authors:  T G Burland; L Solnica-Krezel; J Bailey; D B Cunningham; W F Dove
Journal:  Adv Microb Physiol       Date:  1993       Impact factor: 3.517

8.  Time-resolved detection of three intracellular signals controlling photomorphogenesis in Physarum polycephalum.

Authors:  C Starostzik; W Marwan
Journal:  J Bacteriol       Date:  1994-09       Impact factor: 3.490

9.  Photomorphogenesis in Physarum: induction of tubulins and sporulation-specific proteins and of their mRNAs.

Authors:  H Putzer; C Verfuerth; M Claviez; T Schreckenbach
Journal:  Proc Natl Acad Sci U S A       Date:  1984-11       Impact factor: 11.205

10.  Selective gene expression during sporulation of Physarum polycephalum.

Authors:  R Martel; A Tessier; D Pallotta; G Lemieux
Journal:  J Bacteriol       Date:  1988-10       Impact factor: 3.490

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  2 in total

1.  A scalable and integrative system for pathway bioinformatics and systems biology.

Authors:  Behnam Compani; Trent Su; Ivan Chang; Jianlin Cheng; Kandarp H Shah; Thomas Whisenant; Yimeng Dou; Adriel Bergmann; Raymond Cheong; Barbara Wold; Lee Bardwell; Andre Levchenko; Pierre Baldi; Eric Mjolsness
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

2.  Using chemical organization theory for model checking.

Authors:  Christoph Kaleta; Stephan Richter; Peter Dittrich
Journal:  Bioinformatics       Date:  2009-05-25       Impact factor: 6.937

  2 in total

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