The Emergence of Phenotypic Novelties Through Progressive Genetic Change

Genotype-to-phenotype mapping is modeled by a discrete, multilevel, nonlinear network whose properties are error-damping capacity, pleiotropism, and determination of single events by multiple factors. The model relates movements in genotype space to movements in phenotype space and points out the dichotomy between the genomic and the phenotypic levels of organization. A constant inflow of small mutations leads in this model to phenotypic novelties, alternating with episodes of stasis and gradual phenotypic changes. The model predicts decreasing variability with increasing levels of organization in lower organisms; higher organisms should be able to shift the balance between homeostasis and variation by adjusting the level of nonlinearity in the processing. Such a mechanism may act under environmental stress, when homeostasis should be temporarily suppressed in order to increase the phenotypic repertoire. Applications to viral evolution are discussed.

[1]  B. A. Huberman,et al.  Adaptation and self-repair in parallel computing structures , 1984 .

[2]  C. Newman,et al.  Neo-darwinian evolution implies punctuated equilibria , 1985, Nature.

[3]  J. Beckmann,et al.  Transcription and processing of intervening sequences in yeast tRNA genes , 1978, Cell.

[4]  P. Alberch,et al.  Developmental Constraints in Evolutionary Processes , 1982 .

[5]  Katsuhisa Nakajima,et al.  Recent human influenza A (H1N1) viruses are closely related genetically to strains isolated in 1950 , 1978, Nature.

[6]  S. Gould,et al.  Punctuated equilibria: the tempo and mode of evolution reconsidered , 1977, Paleobiology.

[7]  V. Nussenzweig,et al.  Circumsporozoite proteins of malaria parasites , 1985, Cell.

[8]  H. Kang,et al.  In vitro transcription and processing of a yeast tRNA gene containing an intervening sequence , 1979, Cell.

[9]  S. Kauffman The large scale structure and dynamics of gene control circuits: an ensemble approach. , 1974, Journal of theoretical biology.

[10]  I. Eshel Clone selection and the evolution of modifying features , 1973 .

[11]  A. Ben-Ze'ev,et al.  Cell‐Cell Interaction and Cell Configuration Related Control of Cytokeratins and Vimentin Expression in Epithelial Cells and in Fibroblasts a , 1985, Annals of the New York Academy of Sciences.

[12]  F. Burnet Structure of influenza virus. , 1956, Science.

[13]  H. Carson The Genetics of Speciation at the Diploid Level , 1975, The American Naturalist.

[14]  H. Echols Mutation rate: some biological and biochemical considerations. , 1982, Biochimie.

[15]  J. Willey,et al.  Transformation of human bronchial epithelial cells transfected by Harvey ras oncogene. , 1985, Science.

[16]  R. Lewontin,et al.  The Genetic Basis of Evolutionary Change , 2022 .

[17]  W. Rutter,et al.  Structure and processing of yeast precursor tRNAs containing intervening sequences , 1978, Nature.

[18]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[19]  P. Alberch,et al.  EVOLUTION AND BIFURCATION OF DEVELOPMENTAL PROGRAMS , 1982, Evolution; international journal of organic evolution.

[20]  H. Meinhardt,et al.  Hierarchical Inductions of Cell States: A Model for Segmentation in Drosophila , 1986, Journal of Cell Science.

[21]  C. Wills The Possibility of Stress-Triggered Evolution , 1984 .

[22]  Walter Fiers,et al.  Complete structure of A/duck/Ukraine/63 influenza hemagglutinin gene: Animal virus as progenitor of human H3 Hong Kong 1968 influenza hemagglutinin , 1981, Cell.

[23]  P. Leder,et al.  Mouse globin system: a functional and evolutionary analysis. , 1980, Science.

[24]  Charles Weissmann,et al.  Nucleotide sequence heterogeneity of an RNA phage population , 1978, Cell.

[25]  G. Air,et al.  Sequence relationships among the hemagglutinin genes of 12 subtypes of influenza A virus. , 1981, Proceedings of the National Academy of Sciences of the United States of America.

[26]  A. Ben-Ze'ev,et al.  Cell shape, the complex cellular networks, and gene expression. Cytoskeletal protein genes as a model system. , 1985, Cell and muscle motility.

[27]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[28]  G. Dover,et al.  Molecular drive: a cohesive mode of species evolution , 1982, Nature.

[29]  J. Young,et al.  Evolution of human influenza a viruses in nature: Sequential mutations in the genomes of new H1N1 isolates , 1979, Cell.

[30]  A Goldbeter,et al.  Control of developmental transitions in the cyclic AMP signalling system of Dictyostelium discoideum. , 1980, Differentiation; research in biological diversity.

[31]  T. Libermann,et al.  Growth Factors, Growth-Factor Receptors and Oncogenes , 1985, Bio/Technology.

[32]  R. C. Woodruff,et al.  Mutator genes—pacemakers of evolution , 1978, Nature.

[33]  S. Gould,et al.  Punctuated equilibria: an alternative to phyletic gradualism , 1972 .

[34]  R. Webster,et al.  Ecology of influenza viruses in lower mammals and birds. , 1979, British medical bulletin.

[35]  S. Wolfram Statistical mechanics of cellular automata , 1983 .

[36]  R. Weinberg,et al.  Cellular oncogenes and multistep carcinogenesis. , 1983, Science.

[37]  R. Lande Expected time for random genetic drift of a population between stable phenotypic states. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[38]  J. W. Valentine,et al.  "Hopeful monsters," transposons, and Metazoan radiation. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[39]  S. Fields,et al.  Nucleotide sequence of the haemagglutinin gene of a human influenza virus H1 subtype , 1981, Nature.

[40]  N. K. Wessells A Catalogue of Processes Responsible for Metazoan Morphogenesis , 1982 .

[41]  W. J. Bean,et al.  Genetic diversity among avian influenza viruses. , 1980, Virology.