Gene flow and establishment of transgenes in natural plant populations
L.W.D. van Raamsdonk, Henk J. Schouten
Abstract
L.W.D. van Raamsdonk, Henk J. Schouten
Abstract
In this paper the possibilities are indicated to model the introgression of a domestication gene, especially a transgene, into a wild plant population. The entire process of introgression consists of two phases, i.e. gene flow by pollen (hybridization) or by seed (escape), and establishment. A literature survey demonstrated that a lot of information is available on the first phase (gene flow), although seed dispersal is less studied than pollen dispersal. The second phase of introgression (establishment) is hardly studied in a quantitative way. It is important to focus further research on fitness effects of establishment, because even at low levels of gene flow a (trans)gene will finally succeed in entering a wild population. In this paper several parts of a simulation model are described. In case of small wild populations a stochastic model should be used in order to account for genetic drift.
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In this paper the possibilities are indicated to model the introgression of a domestication gene, especially a transgene, into a wild plant population. The entire process of introgression consists of two phases, i.e. gene flow by pollen (hybridization) or by seed (escape), and establishment. A literature survey demonstrated that a lot of information is available on the first phase (gene flow), although seed dispersal is less studied than pollen dispersal. The second phase of introgression (establishment) is hardly studied in a quantitative way. It is important to focus further research on fitness effects of establishment, because even at low levels of gene flow a (trans)gene will finally succeed in entering a wild population. In this paper several parts of a simulation model are described. In case of small wild populations a stochastic model should be used in order to account for genetic drift.
Key concepts: Introgression, Domestication, Reproduction, Biology, Library science, Genetics, Gene, Computer science