The overall aim of this project is to better understand biological processes leading to speciation and diversification through a study of the dynamic and static behavior of various multilocus models. Existing approaches to the modeling of speciation are deficient in several ways. Usually a small number of loci or quantitative traits are considered, selection is assumed to be weak, population size is considered to be constant, and only a very limited number of selection regimes mostly reflecting the dominant paradigm of """"""""rugged adaptive landscapes"""""""" have been studied. Recently a new metaphor of """"""""holey adaptive landscapes"""""""" (Gavrilets 1997) has been put forward as a plausible alternative to the conventional view of rugged adaptive landscapes. This metaphor is the core of the research proposed here. This project will investigate: (i) dynamics of genetic and morphological diversification in (growing) populations and clades, (ii) evolutionary dynamics of metapopulations and hybrid zones, (iii) coevolutionary dynamics. The biological questions to be approached here are very diverse. However, there is a unifying theme underlying the methods to be used. This theme is that biological organisms can be viewed as very long sequences with thousands and millions elements (e.g. genes or DNA base pairs). Thus, from a mathematical point of view, biological evolution takes place in a space with an enormous number of dimensions. Consequently, a significant proportion of evolutionary changes are expected to happen along nearly neutral networks and on holey adaptive landscapes. Chance and contingency should play a major role in evolutionary dynamics. Here, a combination of analytical methods recently developed in theoretical evolutionary biology, mathematics, and physics and extensive numerical simulations will be used to take into account various factors operating in natural populations (selection, mutation, recombination, random drift, migration, extinction, colonization etc).

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM056693-05
Application #
6490125
Study Section
Genetics Study Section (GEN)
Program Officer
Eckstrand, Irene A
Project Start
1998-01-01
Project End
2004-12-31
Budget Start
2002-01-01
Budget End
2002-12-31
Support Year
5
Fiscal Year
2002
Total Cost
$127,539
Indirect Cost
Name
University of Tennessee Knoxville
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
City
Knoxville
State
TN
Country
United States
Zip Code
37996
González-Forero, M (2015) Stable eusociality via maternal manipulation when resistance is costless. J Evol Biol 28:2208-23
Berner, D; Thibert-Plante, X (2015) How mechanisms of habitat preference evolve and promote divergence with gene flow. J Evol Biol 28:1641-55
Welch, John J; Jiggins, Chris D (2014) Standing and flowing: the complex origins of adaptive variation. Mol Ecol 23:3935-7
Roesti, Marius; Gavrilets, Sergey; Hendry, Andrew P et al. (2014) The genomic signature of parallel adaptation from shared genetic variation. Mol Ecol 23:3944-56
Duenez-Guzman, Edgar A; Vose, Michael D (2013) No free lunch and benchmarks. Evol Comput 21:293-312
Thibert-Plante, Xavier; Gavrilets, Sergey (2013) Evolution of mate choice and the so-called magic traits in ecological speciation. Ecol Lett 16:1004-13
Birand, Aysegul; Vose, Aaron; Gavrilets, Sergey (2012) Patterns of species ranges, speciation, and extinction. Am Nat 179:1-21
Mesterton-Gibbons, Mike; Gavrilets, Sergey; Gravner, Janko et al. (2011) Models of coalition or alliance formation. J Theor Biol 274:187-204
Rowell, Jonathan T (2010) Tactical population movements and distributions for ideally motivated competitors. Am Nat 176:638-50
Giraud, Tatiana; Gladieux, Pierre; Gavrilets, Sergey (2010) Linking the emergence of fungal plant diseases with ecological speciation. Trends Ecol Evol 25:387-95

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