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71 results for “Sceloporus”
Hybrid zone analysis using coalescent-based estimates of introgression and migration in plateau fence lizards (Sceloporus tristichus)
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Population expansion, divergence, and persistence in western fence lizards (Sceloporus occidentalis) at the northern extreme of their distributional range
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Data from: Volatile fatty acid and aldehyde abundances evolve with behavior and habitat temperature in Sceloporus lizards
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Data from: Vomeronasal organ volume increases with body size and is dissociated with loss of a visual signal in Sceloporus lizards
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Sceloporus thermal requirements
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Phylogenetic relationships and species delimitation of bunchgrass lizards of the genus Sceloporus from Mexico with the description of a new species
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Effects of mite load on growth and body condition in Sceloporus undulatus
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Resting metabolic rate of Sceloporus grammicus at intermediate and native elevations
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Ecomorphology is associated with speciation and co-occurrence in <em>Sceloporus</em> lizards
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Cryptic diversity across the Trans-Mexican Volcanic Belt of Mexico in the montane bunchgrass lizard Sceloporus subniger (Squamata: Phrynosomatidae)
<p><em>Sceloporus subniger</em> Poglaygen & Smith is a montane bunchgrass lizard distributed across pine-oak forests of central Mexico. Prompted by the discovery of a new population of this lizard in far western Mexico, and by recent studies suggesting <em>S. subniger</em> may be a composite of several distinct species, we examined in more detail the genetic structure of <em>S. subniger</em>. We generated a mitochondrial DNA (mtDNA) dataset from 81 specimens and an ultraconserved elements (UCE) dataset representing thousands of genomic regions from 12 specimens to specifically evaluate the genetic distinctiveness of populations from western Michoacán and adjacent Jalisco along with the newly discovered population in the Sierra de Mascota in western Jalisco. We also recorded morphological data from 47 museum specimens to compare to our genetic data. Results from our analyses of the genetic data, augmented by specimen measurements and scale counts, support the notion that <em>S. subniger</em> is indeed a composite of distinct species. Montane bunchgrass lizards from western Michoacán and adjacent Jalisco, and from the Sierra de Mascota in western Jalisco, each represent distinct new species, which we describe and name here.</p>
Data from: Comparative species divergence across eight triplets of spiny lizards (Sceloporus) using genomic sequence data
Species divergence is typically thought to occur in the absence of gene flow, but many empirical studies are discovering that gene flow may be more pervasive during species formation. Although many examples of divergence with gene flow have been identified, only few clades have been investigated in a comparative manner, and fewer have been studied using genome-wide sequence data. We contrast species divergence genetic histories across eight triplets of North American Sceloporus lizards using a maximum likelihood implementation of the isolation–migration (IM) model. Gene flow at the time of species divergence is modeled indirectly as variation in species divergence time across the genome or explicitly using a migration rate parameter. Likelihood ratio tests (LRTs) are used to test the null model of no gene flow at speciation against these two alternative gene flow models. We also use the Akaike information criterion to rank the models. Hundreds of loci are needed for the LRTs to have statistical power, and we use genome sequencing of reduced representation libraries to obtain DNA sequence alignments at many loci (between 340 and 3,478; mean 1⁄4 1,678) for each triplet. We find that current species distributions are a poor predictor of whether a species pair diverged with gene flow. Interrogating the genome using the triplet method expedites the comparative study of species divergence history and the estimation of genetic parameters associated with speciation.
Genotyping validates the efficacy of photographic identification in a capture-mark-recapture study based on the head scale patterns of the prairie lizard (Sceloporus consobrinus)
Population studies often incorporate capture-mark-recapture (CMR) techniques to gather information on long-term biological and demographic characteristics. A fundamental requirement for CMR studies is that an individual must be uniquely and permanently marked to ensure reliable reidentification throughout its lifespan. Photographic identification involving automated photographic identification software has become a popular and efficient non-invasive method for identifying individuals based on natural markings. However, few studies have a) robustly assessed the performance of automated programs by using a double-marking system or b) determined their efficacy for long-term studies by incorporating multi-year data. Here, we evaluated the performance of the program Interactive Individual Identification System (I<sup>3</sup>S) by cross-validating photographic identifications based on the head scale pattern of the prairie lizard (<i>Sceloporus consobrinus</i>) with individual microsatellite genotyping (N=863). Further, we assessed the efficacy of the program to identify individuals over time by comparing error rates between within-year and between-year recaptures. Recaptured lizards were correctly identified by I<sup>3</sup>S in 94.1% of cases. We estimated a false rejection rate (FRR) of 5.9% and a false acceptance rate (FAR) of 0%. By using I<sup>3</sup>S we correctly identified 97.8% of within-year recaptures (FRR=2.2%; FAR=0%) and 91.1% of between-year recaptures (FRR=8.9%; FAR=0%). Misidentifications were primarily due to poor photo quality (N=4). However, two misidentifications were caused by indistinct scale configuration due to scale damage (N=1) and ontogenetic changes in head scalation between capture events (N=1). We conclude that automated photographic identification based on head scale patterns is a reliable and accurate method for identifying individuals over time. Because many lizard or reptilian species possess variable head squamation, this method has potential for successful application in many species.
FIGURE 3 in A new species of Sceloporus of the torquatus group (Reptilia: Phrynosomatidae) from West Mexico
FIGURE 3. Diagram of the head squamation and dark nuchal collar of Sceloporus huichol sp. nov. holotype (MZFC 20633).
FIGURE 5 in A new species of Sceloporus of the torquatus group (Reptilia: Phrynosomatidae) from West Mexico
FIGURE 5. Photograph of a juvenile paratype of Sceloporus huichol sp. nov. (UTA R-55432), SVL 31.6 mm.
Data from: Including fossils in phylogenetic climate reconstructions: a deep time perspective on the climatic niche evolution and diversification of spiny lizards (Sceloporus)
Fossils and other paleontological information can improve phylogenetic comparative method estimates of phenotypic evolution and generate hypotheses related to species diversification. Here, we use fossil information to calibrate ancestral reconstructions of suitable climate for Sceloporus lizards in North America. Integrating data from the fossil record, general circulation models of paleoclimate during the Miocene, climate envelope modeling, and phylogenetic comparative methods provides a geographically and temporally explicit species distribution model of Sceloporus-suitable habitat through time. We provide evidence to support the historic biogeographic hypothesis of Sceloporus diversification in warm North American deserts and suggest a relatively recent Sceloporus invasion into Mexico around 6 Ma. We use a physiological model to map extinction risk. We suggest that the number of hours of restriction to a thermal refuge limited Sceloporus from inhabiting Mexico until the climate cooled enough to provide suitable habitat at approximately 6 Ma. If the future climate returns to the hotter climates of the past, Mexico, the place of highest modern Sceloporus richness, will no longer provide suitable habitats for Sceloporus to survive and reproduce.
FIGURE 1 in Molecular phylogeny of the Sceloporus torquatus species-group (Squamata: Phrynosomatidae)
FIGURE 1. Distribution of Sceloporus torquatus species-group in México, south of United States of America and Guatemala, based on Smith 1938, Wiens et al. (1999) and museum data. Dots represents localities sampled for this study and those reported for each specimens included from GenBank. Numbers represents the taxa included in the analyses: 1. S. bulleri; 2. S. cyanogenys; 3. S. cyanostictus; 4. S. dugesii dugesii; 5. S. d. intermedius; 6. S. insignis; 7. S. jarrovii; 8. S. lineolateralis; 9. S. macdougalli; 10. S. minor; 11. S. mucronatus aureolus; 12. S. mucronatus mucronatus; 13. S. mucronatus omiltemanus; 14. S. oberon; 15. S. ornatus caeruleus; 16. S. ornatus ornatus; 17. S. poinsettii; 18. S. serrifer plioporus; 19. S. serrifer prezygus; 20. S. serrifer serrifer; 21. S. sugillatus; 22. S. torquatus binocularis; 23. S. torquatus melanogaster; 24. S. torquatus torquatus; Sceloporus sp. 1; 26. Sceloporus sp. 2. The abbreviations means: In United States of America: AZ.= Arizona, NM.= New Mexico, TX.= Texas; In Mexico: CHIS.= Chiapas, COAH.= Coahuila, NL.= Nuevo Leon, TMPS.= Tamaulipas VER.= Veracruz and YUC.= Ycatan.
FIGURE 3 in Molecular phylogeny of the Sceloporus torquatus species-group (Squamata: Phrynosomatidae)
FIGURE 3. Bayesian inference tree based on 12S 16S and ND4 mtDNA sequences. Posterior probabilities> 50% and boostrap proportions> 50 % (from the parsimony analysis) are indicated above and below the branches, respectively.
FIGURE 2 in Molecular phylogeny of the Sceloporus torquatus species-group (Squamata: Phrynosomatidae)
FIGURE 2. Srict consensus of 30 trees from the parsimony analysis based on 12S 16S and ND4 mtDNA sequences (length=2254, CI=0.524, RI=0.733). Bootstrap proportions> 50 % are indicated above the branches.
FIGURE 3 in Review of the systematic status of Sceloporus arenicolus Degenhardt and Jones, 1972 with an estimate of divergence time
FIGURE 3. Consensus tree from Bayesian phylogenetic analysis. Bayesian posterior probabilities (PP) and ML bootstrap support (BS) are noted at nodes with high support (> 95% PP and 75 BS) and at basal nodes. Nodal support of PP = 1 and BS = 100 are indicated with a solid circle at the branch. Shaded symbols correspond to collection localities on Figure 1.
FIGURE 2. Minimum spanning haplotype networks for all S in Review of the systematic status of Sceloporus arenicolus Degenhardt and Jones, 1972 with an estimate of divergence time
FIGURE 2. Minimum spanning haplotype networks for all S. graciosus group samples sequenced at each of three nuclear loci. Size of each circle corresponds to the frequency of that haplotype. Shading corresponds to clade membership in Figure 3.
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Allen Brain Atlas
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