Five areas of theoretical population genetic research are to be developed. The effect on the sex ratio of linkage between genes that interact in determining sex is to be explored in diploid and haplodiploid systems. In addition, the consequences for the sex ratio of population subdivision and migration are to be studied. Research on the evolution of genetic modifiers of the rate of recombination will be continued with particular reference to populations subject to fertility selection or in which the sexes differ in their viabilities. New studies of the evolution of recombination modifiers in small populations are to be initiated. Our studies of cultural transmission and evolution will attempt to relate predictions from dynamic transmission models to commonly used data analytic techniques. In addition, we shall pursue studies of population genetic models for the evolution of communication. Demographic modelling of culturally transmitted traits will be introduced, with the transmission rate depending on the ages of the transmitter and receiver. Finally, we propose to examine how, in a large subdivided population, levels of clustering of subpopulations affect estimates of spatial variation in gene frequencies.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM028016-12
Application #
3275270
Study Section
Genetics Study Section (GEN)
Project Start
1980-07-01
Project End
1993-06-30
Budget Start
1991-07-01
Budget End
1992-06-30
Support Year
12
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
Schools of Arts and Sciences
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
Pinho, Ricardo; Garcia, Victor; Feldman, Marcus W (2014) Phenotype accessibility and noise in random threshold gene regulatory networks. PLoS One 10:e0119972
Domschke, Pia; Trucu, Dumitru; Gerisch, Alf et al. (2014) Mathematical modelling of cancer invasion: implications of cell adhesion variability for tumour infiltrative growth patterns. J Theor Biol 361:41-60
Aoki, Kenichi; Feldman, Marcus W (2014) Evolution of learning strategies in temporally and spatially variable environments: a review of theory. Theor Popul Biol 91:3-19
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Greenspoon, Philip B; M'Gonigle, Leithen K (2013) Can positive frequency dependence facilitate plant coexistence? Trends Ecol Evol 28:317-8
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