Evolution of a semilinear parabolic system for migration and selection without dominance

The semilinear parabolic system that describes the evolution of the gene frequencies in the diffusion approximation for migration and selection at a multiallelic locus without dominance is investigated. The population occupies a finite habitat of arbitrary dimensionality and shape (i.e., a bounded, open domain in R d ). The selection coefficients depend on position; the drift and diffusion coefficients may depend on position. The primary focus of this paper is the dependence of the evolution of the gene frequencies on λ, the strength of selection relative to that of migration. It is proved that if migration is sufficiently strong (i.e., λ is sufficiently small) and the migration operator is in divergence form, then the allele with the greatest spatially averaged selection coefficient is ultimately fixed. The stability of each vertex (i.e., an equilibrium with exactly one allele present) is completely specified. The stability of each edge equilibrium (i.e., one with exactly two alleles present) is fully described when either (i) migration is sufficiently weak (i.e., λ is sufficiently large) or (ii) the equilibrium has just appeared as λ increases. The existence of unexpected, complex phenomena is established: even if there are only three alleles and migration is homogeneous and isotropic (corresponding to the Laplacian), (i) as λ increases, arbitrarily many changes of stability of the edge equilibria and corresponding appearance of an internal equilibrium can occur and (ii) the conditions for protection or loss of an allele can both depend nonmonotonically on λ. Neither of these phenomena can occur in the diallelic case.

[1]  J. McGregor,et al.  Application of method of small parameters to multi-niche population genetic models. , 1972, Theoretical population biology.

[2]  Yuan Lou,et al.  A Semilinear Parabolic System for Migration and Selection in Population Genetics , 2002 .

[3]  Yuan Lou,et al.  Evolution of a semilinear parabolic system for migration and selection in population genetics , 2004 .

[4]  J. B. S. Haldane,et al.  The theory of a cline , 2008, Journal of Genetics.

[5]  Tosio Kato Perturbation theory for linear operators , 1966 .

[6]  G. M.,et al.  Partial Differential Equations I , 2023, Applied Mathematical Sciences.

[7]  T. Nagylaki,et al.  Patterns of multiallelic polymorphism maintained by migration and selection. , 2001, Theoretical population biology.

[8]  Peter Hess,et al.  On positive solutions of a linear elliptic eigenvalue problem with neumann boundary conditions , 1982 .

[9]  R. Fisher THE WAVE OF ADVANCE OF ADVANTAGEOUS GENES , 1937 .

[10]  F. M. Arscott,et al.  PERIODIC‐PARABOLIC BOUNDARY VALUE PROBLEMS AND POSITIVITY , 1992 .

[11]  T. Nagylaki,et al.  The strong-migration limit in geographically structured populations , 1980, Journal of mathematical biology.

[12]  D. Hoff,et al.  LARGE TIME BEHAVIOR OF SOLUTIONS OF SYSTEMS OF NONLINEAR REACTION-DIFFUSION EQUATIONS* , 1978 .

[13]  V. Hutson,et al.  LIMIT BEHAVIOUR FOR A COMPETING SPECIES PROBLEM WITH DIFFUSION , 1995 .

[14]  T. Nagylaki,et al.  Multiallelic selection polymorphism. , 2006, Theoretical population biology.

[15]  C. Conley An application of Wazewski's method to a non-linear boundary value problem which arises in population genetics , 1975 .

[16]  E. Akin,et al.  Mathematical structures in population genetics , 1992 .

[17]  Daniel B. Henry Geometric Theory of Semilinear Parabolic Equations , 1989 .

[18]  T. Nagylaki Introduction to Theoretical Population Genetics , 1992 .

[19]  J. McGregor,et al.  Polymorphisms for genetic and ecological systems with weak coupling. , 1972, Theoretical population biology.

[20]  T. Nagylaki,et al.  Conditions for the existence of clines. , 1975, Genetics.

[21]  P. Hess,et al.  Periodic-Parabolic Boundary Value Problems and Positivity , 1991 .

[22]  T. Nagylaki The diffusion model for migration and selection in a plant population , 1997 .

[23]  T. Nagylaki,et al.  Clines with asymmetric migration. , 1978, Genetics.

[24]  R. Buerger The Mathematical Theory of Selection, Recombination, and Mutation , 2000 .

[25]  Paul C. Fife,et al.  Mathematical Aspects of Reacting and Diffusing Systems , 1979 .

[26]  J. Pauwelussen Nerve impulse propagation in a branching nerve system: A simple model , 1981 .

[27]  J. Hale,et al.  Large diffusion with dispersion , 1991 .

[28]  Reinhard Redlinger Über die C2-Kompaktheit der Bahn von Lösungen semflinearer parabolischer Systeme , 1982 .

[29]  L. Peletier,et al.  Clines in the presence of asymmetric migration , 1981 .

[30]  Konstantin Mischaikow,et al.  Competing Species near a Degenerate Limit , 2003, SIAM J. Math. Anal..

[31]  L. Peletier,et al.  Clines induced by variable selection and migration , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[32]  Wendell H. Fleming,et al.  A selection-migration model in population genetics , 1975 .

[33]  S. Karlin Mathematical models, problems, and controversies of evolutionary theory , 1984 .

[34]  T. Nagylaki,et al.  Clines with variable migration. , 1976, Genetics.