Cellular ``bauplans'': Evolving unicellular forms by means of Julia sets and Pickover biomorphs
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- @Article{Mojica200919,
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author = "Nelly Selem Mojica and Jorge Navarro and
Pedro C. Marijuan and Rafael Lahoz-Beltra",
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title = "Cellular ``bauplans'': Evolving unicellular forms by
means of Julia sets and Pickover biomorphs",
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journal = "Biosystems",
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volume = "98",
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number = "1",
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pages = "19--30",
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year = "2009",
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ISSN = "0303-2647",
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DOI = "
doi:10.1016/j.biosystems.2009.07.002",
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URL = "
http://www.sciencedirect.com/science/article/B6T2K-4WRD3P1-1/2/9d1dc224fa7f3b0696e38abe5aec4a63",
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keywords = "genetic algorithms, genetic programming, Cellular
bauplans, Pickover biomorphs, Morphogenetic field,
Julia set, Evolving fractal, Cytoskeletal mechanical
forces, Organismic form",
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abstract = "The universe of cellular forms has received scarce
attention by mainstream neo-Darwinian views. The
possibility that a fundamental trait of biological
order may consist upon, or be guided by, developmental
processes not completely amenable to natural selection
was more akin to previous epochs of biological thought,
i.e. the 'bauplan' discussion. Thirty years ago,
however, Lynn and Tucker studied the biological
mechanisms responsible for defining organelles position
inside cells. The fact that differentiated structures
performing a specific function within the eukaryotic
cell (i.e. mitochondrion, vacuole, or chloroplast) were
occupying specific positions in the protoplasm was the
observational and experimental support of the
[`]morphogenetic field' notion at the cellular level.
In the present paper we study the morphogenetic field
evolution yielding from an initial population of
undifferentiated cells to diversified unicellular
organisms as well as specialised eukaryotic cell types.
The cells are represented as Julia sets and Pickover
biomorphs, simulating the effect of Darwinian natural
selection with a simple genetic algorithm. The
morphogenetic field 'defines' the locations where cells
are differentiated or sub-cellular components (or
organelles) become organised. It may be realised by
different possibilities, one of them by diffusing
chemicals along the Turing model. We found that
Pickover cells show a higher diversity of size and form
than those populations evolved as Julia sets. Another
novelty is the way that cellular organelles and cell
nucleus fill in the cell, always in dependence on the
previous cell definition as Julia set or Pickover
biomorph. Our findings support the existence of
specific attractors representing the functional and
stable form of a differentiated cell--genuine cellular
bauplans. The configuration of the morphogenetic field
is 'attracted' towards one or another attractor
depending on the environmental influences as modelled
by a particular fitness function. The model promotes
the classical discussions of D'Arcy Thompson and the
more recent views of Waddington, Goodwin and others
that consider organisms as dynamical systems that
evolve through a [`]master plan' of transformations,
amenable to natural selection. Intriguingly, the model
also connects with current developments on
mechanobiology, highlighting the
informational-developmental role that cytoskeletons may
play.",
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notes = "GA uses complex mathematical functions",
- }
Genetic Programming entries for
Nelly Selem Mojica
Jorge Navarro
Pedro C Marijuan
Rafael Lahoz-Beltra
Citations