Literature DB >> 20109479

Quantifying stochastic introgression processes with hazard rates.

Atiyo Ghosh1, Patsy Haccou.   

Abstract

Introgression is the permanent incorporation of genes from one population into another through hybridization and backcrossing. It can have large environmental consequences, such as the spread of insecticide or herbicide resistant genes, the escape of transgenes from genetically modified crops, and the invasion of exotic genes into new habitats. Introgression usually involves strong random components, such as rare hybridization and backcrossing events, and demographic variation in reproduction and survival. Most introgression studies ignore these random effects, and consequently fail to accurately assess the risk of introgression. This paper presents a methodology for quantifying stochastic introgression processes, based on multitype branching process models. We derive a quantity called the hazard rate, which can be used to investigate how the risk of introgression depends on crop management and life history.

Mesh:

Year:  2010        PMID: 20109479     DOI: 10.1016/j.tpb.2010.01.002

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  Quantifying introgression risk with realistic population genetics.

Authors:  Atiyo Ghosh; Patrick G Meirmans; Patsy Haccou
Journal:  Proc Biol Sci       Date:  2012-10-10       Impact factor: 5.349

2.  Establishment versus population growth in spatio-temporally varying environments.

Authors:  Patsy Haccou; Maria Conceição Serra
Journal:  Proc Biol Sci       Date:  2021-01-06       Impact factor: 5.349

3.  Adaptive gene introgression after secondary contact.

Authors:  Hildegard Uecker; Derek Setter; Joachim Hermisson
Journal:  J Math Biol       Date:  2014-07-04       Impact factor: 2.164

4.  Fitness dynamics within a poplar hybrid zone: II. Impact of exotic sex on native poplars in an urban jungle.

Authors:  Amanda D Roe; Chris Jk MacQuarrie; Marie-Claude Gros-Louis; J Dale Simpson; Josyanne Lamarche; Tannis Beardmore; Stacey L Thompson; Philippe Tanguay; Nathalie Isabel
Journal:  Ecol Evol       Date:  2014-04-19       Impact factor: 2.912

  4 in total

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