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bioRxiv · 10.1101/853895

Simulating isolated populations to identify emerging genetic structure in the absence of selection

Hosking, C.·Ogden, R.·Senn, H.
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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. O_LIA novel method to infer the effects of genetic drift on structure among isolated populations C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/853895v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@19eabc7org.highwire.dtl.DTLVardef@1fc4cforg.highwire.dtl.DTLVardef@1b1f947org.highwire.dtl.DTLVardef@164c916_HPS_FORMAT_FIGEXP M_FIG C_FIG SPECIFICATIONS TABLE O_TBL View this table: org.highwire.dtl.DTLVardef@1cdff90org.highwire.dtl.DTLVardef@1455d67org.highwire.dtl.DTLVardef@f74715org.highwire.dtl.DTLVardef@5bbc66org.highwire.dtl.DTLVardef@adfae2_HPS_FORMAT_FIGEXP M_TBL C_TBL

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Hosking, C., Ogden, R., Senn, H.. 2019-11-25. Simulating isolated populations to identify emerging genetic structure in the absence of selection. https://doi.org/10.1101/853895

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