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Exploring Plant Morphology and Fractals in Bioinformatics Simulations

In this exploration of bioinformatics simulations, we delve into plant morphology, focusing on the structure and growth patterns of stems, leaves, and flowers. We analyze the self-similar patterns found in nature, particularly fractals, and examine their implementation in models such as Lindenmayer systems (L-Systems). These models aid in understanding complex biological growth and enable virtual reality applications in art and education. We also look at marine molluscs, highlighting unique sea shell structures, further connecting the principles of natural design.

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Exploring Plant Morphology and Fractals in Bioinformatics Simulations

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  1. Bioinformatics CSM17Week 8: Simulations (part 2): • plant morphology • sea shells (marine molluscs) • fractals • virtual reality • Lindenmayer systems JYC: CSM17

  2. Plant Morphology • ‘shape study’ • stems, leaves and flowers JYC: CSM17

  3. Stems • can bear leaves and/or flowers • can branch • usually indeterminate • Can grow and/or branch ‘forever’ JYC: CSM17

  4. Leaves • never bear flowers • can appear to branch (fern) • simple or compound • vary a lot in size and shape • can have straight veins (grasses) • or branching veins (linden/lime tree) JYC: CSM17

  5. Flowers • can be simple or compound • a compound flower (group) is called an inflorescence JYC: CSM17

  6. Inflorescences • can be a flower spike or raceme • or a branching structure called a cyme • racemes themselves can have racemes • daisies and sunflowers have lots of flowers in a capitulum or head • outer ones are petal-like ray florets • inner ones are disc florets • the disc florets are arranged in a spiral JYC: CSM17

  7. Sea Shells JYC: CSM17

  8. Conus textile JYC: CSM17

  9. Nautilus JYC: CSM17

  10. Cymbiola innexa JYC: CSM17

  11. Fractals are... • self-similar structures JYC: CSM17

  12. Lindenmayer Systems • A. Lindenmayer : Theoretical Biology unit at the University of Utrecht • P. Prusinkiewicz : Computer Graphics group at the University of Regina • Lindenmayer Systems are • rewriting systems • also known as L-Systems • Ref: Lindenmayer, A. (1968). Mathematical models for cellular interaction in development, Parts I and II. Journal of Theoretical Biology 18, pp. 280-315 JYC: CSM17

  13. Rewriting Systems • techniques for defining complex objects • by successively replacing parts of a simple initial object • using a series of rewriting rules or productions JYC: CSM17

  14. Koch Snowflake • von Koch (1905) • start with 2 shapes • an initiator and a generator • replace each straight line with a copy of the generator • that copy should be reduced in size and displaced to have the same end points as the line being replaced JYC: CSM17

  15. Array Rewriting • e.g. Conway’s game of Life • Ref: M. Gardner (1970). Mathematical games: the fantastic combination of John Conway’s new solitaire game “life”. Scientific American 223(4), pp. 120-123 (October) JYC: CSM17

  16. DOL-Systems • the simplest class of L-Systems • consider strings (words) built up of two letters a & b • each letter is associated with a rule • a  ab means replace letter a with ab • b  a means replace letter b with a • this process starts with a string called an axiom JYC: CSM17

  17. Turtle graphics • Prusinkiewicz (1986) used a LOGO-style turtle interpretation • the state of a turtle is a triploid (x, y, α) • x & y are cartesian coordinates (position) • α is the heading (direction pointing or facing) • there can also be • d used for step size • δ used for the angle increment JYC: CSM17

  18. Tree OL-Systems • turtle graphics extended to 3-Dimensions • a rewritingsystem that operates on axialtrees JYC: CSM17

  19. Tree OL-Systems • a rewriting rule (tree production) replaces a predecessor edge by a successor axial tree • the starting node of the predecessor is matched with the successor’s base • the end node of the predecessor is matched with the top of the successor JYC: CSM17

  20. Stochastic L-Systems • randomness and probability are added • produces a more realistic model more closely resembling real plants JYC: CSM17

  21. Summary • plant morphology: leaves, stems,flowers • fractals in nature • Lindenmayer systems (L-Systems) • art, computer graphics • virtual reality models e.g. in museums • computer games • biological growth models JYC: CSM17

  22. Useful Websites • Algorithmic Beauty of Plants http://algorithmicbotany.org/ • L-System4: http://www.geocities.com/tperz/L4Home.htm • Visual Models of Morphogenesis: http://www.cpsc.ucalgary.ca/projects/bmv/vmm/ intro.html JYC: CSM17

  23. More References & Bibliography • P. Prusinkiewicz & A. Lindenmayer (1990), The Algorithmic Beauty of Plants, Springer-Verlag. ISBN 0387946764 (softback) (out-of-print, but is in UniS library, and available as pdf from http://algorithmicbotany.org/). • M. Meinhardt (2003, 3nd edition). The Algorithmic Beauty of Sea Shells. Springer-Verlag, Berlin, Germany. ISBN 3540440100 • Barnsley, M. (2000). Fractals everywhere. 2nd ed. Morgan Kaufmann, San Francisco, USA. ISBN 0120790696 • Kaandorp, J. A. (1994). Fractal modelling : growth and form in biology, Springer-Verlag, Berlin. ISBN 3540566856 • Pickover, C. (1990). Computers, pattern, chaos and beauty, Alan Sutton Publishing, Stroud, UK. ISBN 0862997925 (not in UniS library) • Mandlebrot, B. (1982). The Fractal Geometry of Nature (Updated and augmented). Freeman, New York. ISBN 0716711869 JYC: CSM17

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