Academic Journal

Directional genetic differentiation and relative migration

التفاصيل البيبلوغرافية
العنوان: Directional genetic differentiation and relative migration
المؤلفون: Sundqvist, Lisa, Keenan, Kevin, Zackrisson, Martin, Prodöhl, Paulo, Kleinhans, David
المصدر: Sundqvist , L , Keenan , K , Zackrisson , M , Prodöhl , P & Kleinhans , D 2016 , ' Directional genetic differentiation and relative migration ' , Ecology and Evolution , vol. 6 , no. 11 , pp. 3461-3475 . https://doi.org/10.1002/ece3.2096
سنة النشر: 2016
المجموعة: Queen's University Belfast: Research Portal
مصطلحات موضوعية: Allele frequency data, Asymmetric migration, Directional gene flow, Dispersal, /dk/atira/pure/subjectarea/asjc/1100/1105, name=Ecology, Evolution, Behavior and Systematics, /dk/atira/pure/subjectarea/asjc/2300/2303, /dk/atira/pure/subjectarea/asjc/2300/2309, name=Nature and Landscape Conservation
الوصف: Understanding the population structure and patterns of gene flow within species is of fundamental importance to the study of evolution. In the fields of population and evolutionary genetics, measures of genetic differentiation are commonly used to gather this information. One potential caveat is that these measures assume gene flow to be symmetric. However, asymmetric gene flow is common in nature, especially in systems driven by physical processes such as wind or water currents. As information about levels of asymmetric gene flow among populations is essential for the correct interpretation of the distribution of contemporary genetic diversity within species, this should not be overlooked. To obtain information on asymmetric migration patterns from genetic data, complex models based on maximum-likelihood or Bayesian approaches generally need to be employed, often at great computational cost. Here, a new simpler and more efficient approach for understanding gene flow patterns is presented. This approach allows the estimation of directional components of genetic divergence between pairs of populations at low computational effort, using any of the classical or modern measures of genetic differentiation. These directional measures of genetic differentiation can further be used to calculate directional relative migration and to detect asymmetries in gene flow patterns. This can be done in a user-friendly web application called divMigrate-online introduced in this study. Using simulated data sets with known gene flow regimes, we demonstrate that the method is capable of resolving complex migration patterns under a range of study designs.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
DOI: 10.1002/ece3.2096
الاتاحة: https://pure.qub.ac.uk/en/publications/79b7077a-a392-44f2-94f1-faa74ae92494
https://doi.org/10.1002/ece3.2096
https://pureadmin.qub.ac.uk/ws/files/97791142/Directional_genetic_differentiation_and_relative_migration.pdf
http://www.scopus.com/inward/record.url?scp=84964355695&partnerID=8YFLogxK
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.E152B9E1
قاعدة البيانات: BASE