A standardized method for quantifying unidirectional genetic introgression

• Published in: Ecology and Evolution
• Main Authors: Karlsson, Sten, Diserud, Ola H., Moen, Thomas, Hindar, Kjetil
• Other Authors: Reseacrh council of Norway
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2014
• Subjects: Center Point; Atlantic salmon
• Online Access: http://dx.doi.org/10.1002/ece3.1169; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fece3.1169; https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.1169; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.1169

Abstract Genetic introgression of domesticated to wild conspecifics is of great concern to the genetic integrity and viability of the wild populations. Therefore, we need tools that can be used for monitoring unidirectional gene flow from domesticated to wild populations. A challenge to quantitation of unidirectional gene flow is that both the donor and the recipient population may be genetically substructured and that the subpopulations are subjected to genetic drift and may exchange migrants between one another. We develop a standardized method for quantifying and monitoring domesticated to wild gene flow and demonstrate its usefulness to farm and wild Atlantic salmon as a model species. The challenge of having several wild and farm populations was circumvented by in silico generating one analytical center point for farm and wild salmon, respectively. Distributions for the probability that an individual is wild were generated from individual‐based analyses of observed wild and farm genotypes using STRUCTURE . We show that estimates of proportions of the genome being of domesticated origin in a particular wild population can be obtained without having a historical reference sample for the same population. The main advantages of the method presented are the standardized way in which genetic processes within and between populations are taken into account, and the individual‐based analyses giving estimates for each individual independent of other individuals. The method makes use of established software, and as long as genetic markers showing generic genetic differences between domesticated and wild populations are available, it can be applied to all species with unidirectional gene flow. Results from our method are easy to interpret and understand, and will serve as a powerful tool for management, especially because there is no need for a specific historical wild reference sample.