skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Visualizing spatial population structure with estimated effective migration surfaces

Nature genetics, 2016-01, Vol.48 (1), p.94-100 [Peer Reviewed Journal]

ISSN: 1061-4036 ;EISSN: 1546-1718 ;DOI: 10.1038/ng.3464 ;PMID: 26642242

Full text available

Citations Cited by
  • Title:
    Visualizing spatial population structure with estimated effective migration surfaces
  • Author: Petkova, Desislava ; Novembre, John ; Stephens, Matthew
  • Subjects: Animal Migration ; Animals ; Arabidopsis - genetics ; Arabidopsis thaliana ; Elephantidae ; Elephants - genetics ; Gene Flow ; Genetics, Population - methods ; Humans ; Methods ; Microsatellite Repeats ; Migration ; Models, Genetic ; Monte Carlo Method ; Population ; Software ; Transients and Migrants
  • Is Part Of: Nature genetics, 2016-01, Vol.48 (1), p.94-100
  • Description: Genetic data often exhibit patterns broadly consistent with 'isolation by distance'-a phenomenon where genetic similarity decays with geographic distance. In a heterogeneous habitat, this may occur more quickly in some regions than in others: for example, barriers to gene flow can accelerate differentiation between neighboring groups. We use the concept of 'effective migration' to model the relationship between genetics and geography. In this paradigm, effective migration is low in regions where genetic similarity decays quickly. We present a method to visualize variation in effective migration across a habitat from geographically indexed genetic data. Our approach uses a population genetic model to relate effective migration rates to expected genetic dissimilarities. We illustrate its potential and limitations using simulations and data from elephant, human and Arabidopsis thaliana populations. The resulting visualizations highlight important spatial features of population structure that are difficult to discern using existing methods for summarizing genetic variation.
  • Publisher: United States: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 1061-4036
    EISSN: 1546-1718
    DOI: 10.1038/ng.3464
    PMID: 26642242
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    MEDLINE
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait