A Characterization of Microsatellite Loci Variation in Panthera leo, Acinonyx jubatus and Fells concolor
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Hood College Biology
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Biomedical and Environmental Science
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Abstract
The behavior and sensitivity of microsatellite allele variation patterns to historic
demographic perturbations was examined by genotyping approximately 90
microsatellite loci in samples of different populations of cheetah, Acinonyx jubatus, lion,
Panthera leo, and puma, Puma concolor. Three populations (Gir Forest lions, Florida
panther/puma, and cheetah species) had been shown previously to have reduced
genetic diversity based on allozyme, major histocompatibility complex (MHC)-
restriction fragment-length polymorphism (RFLP), mitochondrial (mt) DNA-RFLP and
multilocus minisatellite DNA fingerprints, due to historic reduction in their population
sizes followed by inbreeding. The observed level of microsatellite variation was
substantially decreased in Florida panther and Gir lion, but appreciable in outbred lions,
puma and cheetah populations. A phylogenetic analysis of composite individual
microsatellite genotypes revealed considerable inter and intra-specific subdivision.
Further, the pattern of allele distributions (i.e., continuous versus having "missing" allele
states) was used to interpret whether residual variation after demographic reduction is a
sampling transmission (i.e., retention of some ancestral allele variation) or reconstitution
by new mutations. The date of the most recent cheetah bottleneck was estimated at
10,500 years ago based upon mutational reconstitution of microsatellite variation, while
the Gir Forest lion bottleneck occurred 3,000-4,000 years ago based on the breadth of
apparent microsatellite allele reconstitution. The value of microsatellite variation
patterns as indicators of historic contraction, of population subdivision, as an
evolutionary chronometer and as a metric for relative kinship were evaluated
empirically. The microsatellites demonstrate that such loci provide a more precise and
refined measure of these influences than characterizations by molecular genetic markers
used previously to assess the status of natural populations.