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What do colony patterns mean? - A biologist’s view James A. Shapiro, University of Chicago 1. The colony as an organized, differentiated structure with a complex morphogenesis, even laboratory E. coli. 2. Patterns that reflect the formation of adaptive structures: genetic analysis. 3. A pattern that reflects the operation of adaptive systems under defined conditions: environmental analysis and modeling (Proteus mirabilis). 4. The dense-branching morphology of B. subtilis colonies under nutritional restriction: a problem for modeling. Clonal and Non-clonal Patterns in E. coli Colonies QuickTime™ and a Photo - JPEG decompressor are needed to see this picture. Initiation of E. coli colony development QuickTime™ and a Sorenson Video decompressor are needed to see this picture. Morphogenesis and cellular differentiation in E. coli QuickTime™ and a decompressor are needed to see this picture. QuickTime™ and a decompressor are needed to see this picture. QuickTime™ and a decompressor are needed to see this picture. Colony differentiation into organized regions: E. coli QuickTime™ and a Photo - JPEG decompressor are needed to see this picture. Patterns that reflect the formation of adaptive structures: E. coli Budrene EO, Berg HC. Dynamics of formation of symmetrical patterns by chemotactic bacteria. Nature. 1995 376(6535):4953. QuickTime™ and a Photo - JPEG decompressor are needed to see this picture. Patterns that reflect the formation of adaptive structures: B. subtilis Fruiting Body Formation by Bacillus subtilis Steven S. Branda1†, José Eduardo González-Pastor2†, Sigal Ben-Yehuda2, Richard Losick2 and Roberto Kolter. Proc. Nat. Acad. Sci. USA, 98: 11621-11626 Patterns that reflect the formation of adaptive structures: genetic analysis Esteban Lombardía, Adrián J. Rovetto, Ana L. Arabolaza, and Roberto R. Grau. A LuxS-Dependent Cell-toCell Language Regulates Social Behavior and Development in Bacillus subtilis. Journal of Bacteriology, June 2006, p. 4442-4452, Vol. 188 A pattern that reflects the operation of adaptive systems under defined conditions: Proteus mirabilis. Where modeling matters most. QuickTime™ and a decompressor are needed to see this picture. Synchronous inoculation Asynchronous inoculation (1 hr) Proteus Crew L-R: Todd Dupont, Mitsugu Matsushita, Bruce Ayati, Oliver Rauprich, JAS, Sergei Esipov & Sune Danø QuickTime™ and a Sorenson Video decompressor are needed to see this picture. Different cell types in Proteus swarming QuickTime™ and a Sorenson Video decompressor are needed to see this picture. Distinct roles of glucose and amino acids in growth and swarming Dependence of swarming velocity on amino acid, not glucose concentration (above a threshold) QuickTime™ and a decompressor are needed to see this picture. Sune Danø Robust Periodicity in Proteus Swarming 22 20 b a 20 18 Lag 1st swarm 1st consol. 2nd swarm 2nd consol. Lag 1st swarm 1st consol.2nd swarm 2nd consol. 18 16 16 14 14 12 12 QuickTime™ and a decompressor are needed to see this picture. 10 10 8 8 6 6 4 4 2 2 0 0 0 2 4 6 8 10 12 14 16 18 0 2 4 6 8 10 12 14 16 18 Hours at 32 C QuickTime™ and a decompressor are needed to see this picture. QuickTime™ and a Sorenson Video decompressor are needed to see this picture. Rauprich O, Matsushita M, Weijer K, Siegert F, Esipov S, Shapiro JA. 1996. Periodic phenomena in Proteus mirabilis swarm colony development. J. Bacteriol. 178:6525-38 Independence of swarm period from swarming velocity (amino acids) QuickTime™ and a decompressor are needed to see this picture. Sune Danø Interlocking Cell Cycles d max Esipov, S. and J.A.Shapiro. 1998. Kinetic model of Proteus mirabilis swarm colony development. J. Math. Biol. 36, 249-268. Kinetic Equations Swarmer cell density Diffusivity Spatially Resolved Kinetics Esipov, S. and J.A.Shapiro. 1998. Kinetic model of Proteus mirabilis swarm colony development. J. Math. Biol. 36, 249-268. Robust periodicity requires agedependent dedifferentiation are needed to see this picture. decompressor QuickTime™ and a Bruce P. Ayati. Modeling the role of the cell cycle in regulating Proteus mirabilis swarm-colony development. Applied Mathematics Letters 20 (2007) 913–918 Experimental examination of Proteus dedifferentiation A. Liew & JAS The dense-branching morphology of B. subtilis colonies under nutritional restriction: a problem ripe for modeling. Fujikawa H, and Matsushita M. 1989. Fractal growth of Bacillus subtilis on agar plates. J. Phys. Soc. Japan 58:3875-78 Amino acid-dependent branching at different temperatures Julkowska D, Obuchowski M, Holland IB, Séror SJ. 2004. Branched swarming patterns on a synthetic medium formed by wild-type Bacillus subtilis strain 3610: detection of different cellular morphologies and constellations of cells as the complex architecture develops. Microbiology 150:1839-49. Motility occurs in a small “fingernail” region at the tip of each dendrite M. Matsushita Observations and hypotheses for modeling B. subtilis DBM Observations: 1. Amino acids necessary (I.B. Holland, personal communication) 2. DBM limited to a special region of the nutritional-mobility space 3. DBM characterized by branches that do not grow in width 4. Tip-splitting occurs when branches separated by a critical distance 5. Increased cell activity in a limited zone at the tip of each dendrite Hypotheses: 1. Tip expansion requires active cell movement inside front 2. Cell movement occurs only above a threshold amino acid level 3. Cell movement is the major sink for amino acid consumption 4. Glucose-based growth is not nutritionally limited