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25 results for “Baylisascaris”
Fig. 1 in Predicting Baylisascaris procyonis roundworm prevalence, presence and abundance in raccoons (Procyon lotor) of southwestern Ohio using landscape features
Fig. 1. Map of the townships of Greene and Clark Counties Ohio. The data represent the proportion of raccoons from an individual township that had raccoon roundworms when necropsied. This map also demonstrates the mean patch size, proportion of landscape modified by urbanization and the proportion of landscape modified by agriculture for the nine townships.
Fig. 3 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks
Fig. 3. Single nucleotide polymorphisms in the ND2 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Speciesspecific SNPs are shown in bold.
Fig. 1 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks
Fig. 1. Single nucleotide polymorphisms in the Cox1 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Italicized numbers represent the position number from a previously published partial sequence of the B. columnaris Cox1 gene (Franssen et al., 2013). Species-specific SNPs are shown in bold.
Fig. 2 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks
Fig. 2. Single nucleotide polymorphisms in the Cox2 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Italicized numbers represent the position number from a previously published partial sequence of the B. columnaris Cox2 gene (Franssen et al., 2013).
Fig. 4 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks
Fig. 4. Single nucleotide polymorphisms in several tRNA genes of B. columnaris, compared to B. procyonis, B. transfuga and B. schroederi. Nucleotide position numbers are shown at the top of the figure. SNPs which distinguish B. columnaris from other Baylisascaris species are shown in bold.
Fig. 4 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 4. Parsimony analysis of the combined nuclear and mitochondrial genes yielded four equally parsimonious trees (CI 0.93). Strict consensus supported monophyly of B. transfuga and identity of the L3 recovered from moose.
Fig. 3 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 3. Molecular phylogenetic analyses establishing identity of Baylisascaris transfuga in moose calves. Branch support indicated by parsimony bootstrap above and Bayesian posterior probability below. Fig 3A. Parsimony analysis of the 12S rDNA sequences showing strict consensus of 2 equally parsimonious trees. Fig 3B. Parsimony analysis showing strict consensus of the cox2 sequences which yielded four equally parsimonious trees (CI 0.86). Fig 3C. Parsimony analysis of the 28S rDNA sequences yielded one most parsimonious tree of length (CI 0.97). Fig. 3D. Parsimony analysis of the ITS rDNA sequences yielded one most parsimonious tree of length (CI 0.97).
Fig. 1 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 1. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 1. Brain tissue with L3's in transverse sections. Note prominent lateral alae, coelomyarian polymyarian musculature and morphology consistent with Baylisascaris; maximum diameter of L3, 85 μm.
Fig. 2 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 2. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 2. Third stage larva in longitudinal section, view of cephalic region in brain tissue.
Fig. 1 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 1. Bayesian consensus tree based on combined FULL data (8 genes; not including hars1). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes are Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 3 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 3. Bayesian consensus tree based on FULL mitochondrial gene sequences (3 genes). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes represent Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 2 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 2. Bayesian consensus tree based on FULL data from nuclear genes (5 genes; not including hars1). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes represent Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 2 in MHC-associated Baylisascaris schroederi load informs the giant panda reintroduction program
Fig. 2. Effects of MHC genotypes on (a–b) infection probability, (c–d) EPG of B. schroederi using important predictors. The Bars show the 95%CI.
Fig. 3 in MHC-associated Baylisascaris schroederi load informs the giant panda reintroduction program
Fig. 3. Effects of MHC alleles on infection probability (a and b) and EPG (c and d) of B. schroeder.i. The bars show the 95%CI.
Fig. 3 in Molecular phylogenetics and systematics of two enteric helminth parasites (Baylisascaris laevis and Diandrya vancouverensis) in the Vancouver Island marmot (Marmota vancouverensis)
Fig. 3. Bayesian consensus phylogram based on Baylisascaris and outgroup alignments of concatenated nuclear sequences (28S, ITS, and ard1) from GenBank and this study (B. laevis). Branch labels represent Bayesian posterior probabilities. Branch lengths are scaled to expected number of substitutions per site. Abbreviations refer to sampling sites (AK = Alaska, ID = Idaho, CT = Connecticut; IL = Illinois; CA = California; WV = West Virginia; ALB = Alberta). See also Table 1.
Fig. 2 in Molecular phylogenetics and systematics of two enteric helminth parasites (Baylisascaris laevis and Diandrya vancouverensis) in the Vancouver Island marmot (Marmota vancouverensis)
Fig. 2. Bayesian consensus phylogram based on Baylisascaris and outgroup alignments of concatenated mitochondrial sequences (12S, cox1, and cox2) from GenBank and this study (B. laevis). Branch labels represent Bayesian posterior probabilities. Branch lengths are scaled to expected number of substitutions per site. Abbreviations refer to sampling sites (AK = Alaska, ID = Idaho, CT = Connecticut; IL = Illinois; CA = California; WV = West Virginia; ALB = Alberta). See also Table 1.
Fig. 1 in Molecular phylogenetics and systematics of two enteric helminth parasites (Baylisascaris laevis and Diandrya vancouverensis) in the Vancouver Island marmot (Marmota vancouverensis)
Fig. 1. Known geographic distributions of Baylisascaris laevis and Diandrya composita in North America.
Fig. 4 in Molecular phylogenetics and systematics of two enteric helminth parasites (Baylisascaris laevis and Diandrya vancouverensis) in the Vancouver Island marmot (Marmota vancouverensis)
Fig. 4. Bayesian consensus phylogram based on Baylisascaris and outgroup alignments of concatenated mitochondrial (12S, cox1, and cox2) and nuclear sequences (28S, ITS, and ard1) from GenBank and this study (B. laevis). Branch labels represent Bayesian posterior probabilities. Branch lengths are scaled to expected number of substitutions per site. Abbreviations refer to sampling sites (AK = Alaska, ID = Idaho, CT = Connecticut; IL = Illinois; CA = California; WV = West Virginia; ALB = Alberta). See also Table 1.
Fig. 4 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 4. Results of the analysis of the population genetic structure of raccoon roundworms in north-western Europe. The three genetic clusters were inferred by the program BAPS, taking geographic coordinates into account. Different colors represent different genetic populations. Pie charts represent the genetic populations of origin of the individuals and their size is indicative of the number of samples included. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 1. Distribution of the raccoons sampled in zone A (program 1 green dots and program 2 purple dots), zone B (program 3, orange dots) and zone C (program 4, in pink dots). The red star-spot correspond to the raccoon found infected by Baylisascaris procyonis. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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