On a Quantitative Measure for Modularity Based on Information Theory

Polani, Daniel; Dauscher, Peter; Uthmann, Thomas

doi:10.1007/11553090_40

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Generally speaking, the concepts of modularity and self-organized modularization are used more distinctly in the related field of " artificial life " [ 108 , 109 , 110 ], than in biology at large, or for that matter, in origins-of-life research. To be sure, the genetic decoding system itself has long been recognized for its modular organization of various components [ 111 , 112 ], but evaluating biological modularity for its evolutionary significance as such is of fairly recent provenance [ 113 , 114 ].…”

Section: Early Protogenesmentioning

confidence: 99%

Primal Eukaryogenesis: On the Communal Nature of Precellular States, Ancestral to Modern Life

Egel

2012

Life

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This problem-oriented, exploratory and hypothesis-driven discourse toward the unknown combines several basic tenets: (i) a photo-active metal sulfide scenario of primal biogenesis in the porespace of shallow sedimentary flats, in contrast to hot deep-sea hydrothermal vent conditions; (ii) an inherently complex communal system at the common root of present life forms; (iii) a high degree of internal compartmentalization at this communal root, progressively resembling coenocytic (syncytial) super-cells; (iv) a direct connection from such communal super-cells to proto-eukaryotic macro-cell organization; and (v) multiple rounds of micro-cellular escape with streamlined reductive evolution-leading to the major prokaryotic cell lines, as well as to megaviruses and other viral lineages. Hopefully, such nontraditional concepts and approaches will contribute to coherent and plausible views about the origins and early life on Earth. In particular, the coevolutionary emergence from a communal system at the common root can most naturally explain the vast discrepancy in subcellular organization between modern eukaryotes on the one hand and both archaea and bacteria on the other.

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Section: Early Protogenesmentioning

confidence: 99%

Primal Eukaryogenesis: On the Communal Nature of Precellular States, Ancestral to Modern Life

Egel

2012

Life

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Spatially Constrained Networks and the Evolution of Modular Control Systems

Fine

Paolo

Philippides

2006

From Animals to Animats 9

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Symbiosis, Synergy and Modularity: Introducing the Reciprocal Synergy Symbiosis Algorithm

Mills

Watson

Advances in Artificial Life

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Abstract. Symbiosis, the collaboration of multiple organisms from different species, is common in nature. A related phenomenon, symbiogenesis, the creation of new species through the genetic integration of symbionts, is a powerful alternative to crossover as a variation operator in evolutionary algorithms. It has inspired several previous models that use the repeated composition of pre-adapted entities. In this paper we introduce a new algorithm utilizing this concept of symbiosis which is simpler and has a more natural interpretation when compared with previous algorithms. In addition it achieves success on a broader class of modular problems than some prior methods.

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On a Quantitative Measure for Modularity Based on Information Theory

Cited by 3 publications

References 10 publications

Primal Eukaryogenesis: On the Communal Nature of Precellular States, Ancestral to Modern Life

Primal Eukaryogenesis: On the Communal Nature of Precellular States, Ancestral to Modern Life

Spatially Constrained Networks and the Evolution of Modular Control Systems

Symbiosis, Synergy and Modularity: Introducing the Reciprocal Synergy Symbiosis Algorithm

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