Microsatellite Variation in Two Populations of Mountain Lions (Puma concolor) in Texas

Walker, Christopher W.; Harveson, Louis A.; Pittman, Michael T.; Tewes, Michael E.; Honeycutt, Rodney L.

doi:10.2307/3672461

Cited by 24 publications

(44 citation statements)

References 24 publications

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“…Our regression analyses confirmed the visual impression that there were several landscape barriers to genetic flow, and therefore, to movement and interaction of cougars. Our finding of genetic population structure that aligns with landscape features is consistent with findings from studies of cougars in other geographic areas (Ernest et al 2003;McRae et al 2005;Walker et al 2000), and our study also provides evaluation of competing models and quantification of the impact of physical barriers that coincide with the detected boundary between genetic subpopulations. The landscape barriers of a major highway and a major river, and the low permeability area of low annual precipitation are all plausible barriers to cougar movement.…”

Section: Discussionsupporting

confidence: 79%

“…Ernest et al (2003) found that genetic subdivision in cougars in California was related to several landscape barriers, including water bodies and human developments. Walker et al (2000) concluded that genetic spatial structure in cougars in Texas was related to habitat contiguity. McRae et al (2005) discovered genetic structure in cougars in Arizona, Colorado, New Mexico, and Utah that was related to the habitat barriers of open grassland and desert.…”

Section: Comparision Of Genetic Subpopulations With Landscape Featuresmentioning

confidence: 99%

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Spatial analysis linking landscape features and genetic population structure in cougars ($Puma concolor$) in the northern Rocky Mountains

Waller

Wheeler

2012

Statistics and Its Interface

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Landscape genetics is a field of research that seeks to understand the drivers of the observed spatial distribution of genetic variation in a species of plant or animal using methods from population genetics, landscape ecology, geography, and spatial statistics. One of the important research areas in landscape genetics is to identify landscape barriers to genetic flow. Barriers can limit interaction of organisms and hence lead to genetic structure (i.e. frequency of genotypes) in a population that becomes increasingly spatially structured over time. Here, we investigate model-based spatial methods to assess the relationship between landscape and genotype distributions of cougars (Puma concolor) in Western North America. Previous research has assessed genetic differentiation in cougars in North America using a non-spatial Bayesian clustering model and found evidence of genetic population structure in cougars, with suggestive but indistinct spatial boundaries between subpopulations. To determine if including spatial information on samples in a classification model would refine the observed spatial signal within the genetic population structure, we applied Bayesian classification models to microsatellite loci data with associated spatial locations. The spatial model revealed two clearly differentiated cougar subpopulations, in contrast to the two overlapping subpopulations suggested by methods not accounting for space. We also explored through geographic information systems and generalized linear models whether resulting genetic population structure boundaries aligned with landscape features. The spatial correspondence of genetic subpopulations and a major river and road is suggestive of possible landscape barriers to cougar movement. This study demonstrates that the use of explicit spatial information and Bayesian classification models adds novel insight when investigating genetic population structure in a species.

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Section: Discussionsupporting

confidence: 79%

Section: Comparision Of Genetic Subpopulations With Landscape Featuresmentioning

confidence: 99%

Spatial analysis linking landscape features and genetic population structure in cougars ($Puma concolor$) in the northern Rocky Mountains

Waller

Wheeler

2012

Statistics and Its Interface

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“…Jaguar gene diversity levels and the average number of alleles per locus found here were slightly higher than those obtained by Eizirik et al, (2001) for the same species using 29 microsatellites (H = 0.622 to 0.739). It is noteworthy to mention that our estimate of the jaguar gene diversity is significantly higher than those obtained by Culver et al (2000) and Walker et al (2000) for pumas (Puma concolor) (0.42-0.71, including different subspecies), another wide ranging big cat found across the Americas. Similar heterozygosity levels were discovered in leopards from Tanzania, with H = 0.77 ± 0.03 (Spong et al, 2000).…”

Section: Discussionmentioning

confidence: 43%

DNA microsatellite characterization of the jaguar (Panthera onca) in Colombia

et al. 2006

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The Colombian jaguar population is thought to contain two different subspecies, Panthera onca centralis and Panthera onca onca . The genetic structure of this population was evaluated using 12 microsatellite loci (n = 62 samples). In addition, 22 jaguar DNA samples from Guatemala, Paraguay, Perú, Bolivia, Venezuela and Brazil were analyzed for these microsatellite loci (n = 84 samples). The results of this study indicate six primary themes. First, the levels of gene diversity were very high. Second, the majority of the loci analyzed showed an absence of Hardy-Weinberg equilibrium, probably due to the Wahlund effect (= population subdivision). Third, several microsatellite loci showed significant heterogeneity between the two supposed subspecies in the country. Nevertheless, gene flow was present between them, and heterogeneity was relatively low, although the assignment analyses showed good classification of the jaguars studied into their respective subspecies. Fourth, the long-term historical effective population sizes were calculated through a maximum likelihood procedure for single and multi-step mutation models. Fifth, seven out of twelve DNA microsatellites studied significantly deviated from a single-step mutation model. However, the overall mean multi-step mutation percentage for these 12 DNA microsatellites was only 6%. Therefore, 94% of mutations were uni-step. Sixth, no bottleneck events were detected in the Colombian jaguar population overall.

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“…Habitat barriers play a role in structuring populations (Walker, 2000;Mcrae et al, 2005), so that where habitat barriers are present, we should have found greater population structure, but in case of our model these are insignificant as flies are transported via fruits and vegetables to different parts of the country, and possibilities are that, small number of founders might have started their colony afresh and during that precarious bottleneck period random genetic drift might have played its role in causing differentiation. Further, significant genetic differentiation in nearly all pairwise comparisons (based on the values of genetic distance and pairwise F ST values) across the country suggests that considerable population structuring can occur regardless of distance (in some cases) or any other similarity inducing factors.…”

Section: Gene Flowmentioning

confidence: 99%

Population Genetics of Drosophila ananassae: Evidence for Population Sub-Structuring at the Level of Inversion Polymorphism in Indian Natural Populations

Singh¹,

Singh²

2010

IJB

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Drosophila ananassae is a cosmopolitan and domestic species distributed in the tropical, subtropical and mildly temperate regions. Population structure analysis in forty-five Indian natural populations of D. ananassae was performed employing three cosmopolitan inversions as markers. Pairwise F ST analysis and genetic distance (D) values showed strong genetic differentiation. Though, lowermost values correspond to geographically closest populations, we did not find any significant 'isolation by distance' effect. Values of gene flow based on F ST estimates are very low (Nm < 5). All these findings, viz. strong genetic differentiation and minimal gene flow indicate strong sub-structuring in Indian natural populations of D. ananassae at the level of inversion polymorphism. This finding is particularly intriguing in case of D. ananassae as it is frequently transported via human traffic. Given limited gene flow, populations are expected to diverge genetically due to drift. Low level of gene flow coupled with high degree of genetic differentiation might have occurred historically and is maintained currently. Demographic properties, historical and contemporary events and other factors are more important in shaping the patterns of population sub-structuring, genetic differentiation and gene flow than mere terrestrial habitat characteristics (un) favorable for migration.

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Microsatellite Variation in Two Populations of Mountain Lions (Puma concolor) in Texas

Cited by 24 publications

References 24 publications

Spatial analysis linking landscape features and genetic population structure in cougars ($Puma concolor$) in the northern Rocky Mountains

Spatial analysis linking landscape features and genetic population structure in cougars ($Puma concolor$) in the northern Rocky Mountains

DNA microsatellite characterization of the jaguar (Panthera onca) in Colombia

Population Genetics of Drosophila ananassae: Evidence for Population Sub-Structuring at the Level of Inversion Polymorphism in Indian Natural Populations

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