Simulating isolated populations to identify emerging genetic structure

C Hosking, Robert Ogden, Helen Senn

Research output: Working paper

Abstract

Conservation efforts are often informed by measures of genetic structure within or between isolated populations. We have established a simulation approach to investigate how isolated or captive populations can display misleading (i.e recently acquired) genetic structure as a result of genetic drift. We utilized a combination of softwares to generate isolated population genetic datasets that allow interrogation of emerging genetic structure under a range of conditions. We have developed a new statistic, S, to describe the extent of differentiation due to genetic drift between two isolated populations within the clustering software, STRUCTURE.
Original languageEnglish
PublisherbioRxiv, at Cold Spring Harbor Laboratory
DOIs
Publication statusE-pub ahead of print - 25 Nov 2019

Publication series

NamebioRxiv
Publishercold spring harbor

Keywords

  • Drift
  • Founder effects
  • Captivity
  • Inbreeding
  • Ex-situ

Fingerprint

Dive into the research topics of 'Simulating isolated populations to identify emerging genetic structure'. Together they form a unique fingerprint.

Cite this