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Fig. 4 in Predictors of helminth parasite infection in female chacma baboons (Papio ursinus)
Fig. 4. An interaction between host reproductive state and progestagen concentrations in the infection intensity of Protospirura. Pregnant females (blue) exhibit increased infection intensity of Protospirura with rising progestagen concentrations. Non-pregnant females (red) exhibit decreased infection intensity of Protospirura with rising progestagen concentrations. Confidence intervals are in gray. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Predictors of helminth parasite infection in female chacma baboons (Papio ursinus)
Fig. 2. Plots showing associations between log Protospirura intensity (eggs per gram; epg) in female baboons and marginal effects of each predictor variable. Plots are (A) pregnant (no or yes); (B) log progestagen concentrations (low = below median; high = above median; ng/g); (C) season (dry or wet); (D) presence/absence of Oesophagostomum; and (E) log Trichuris intensity (epg). Points and whiskers on the plot represent the mean and confidence intervals. For Fig. 2E, the values of each fixed effect are divided into tertiles. Numbers above each bar indicate sample size.
Fig. 3 in Predictors of helminth parasite infection in female chacma baboons (Papio ursinus)
Fig. 3. Plots showing associations between log Trichuris intensity (eggs per gram; epg) in female baboons and marginal effects of each predictor variable. Plots are (A) cycling (no or yes); (B) log fecal glucocorticoid concentrations (ng/g); (C) season (dry or wet); (D) presence/absence of Oesophagostomum; and (E) log Protospirua intensity (epg). Points and whiskers on the plot represent the mean and confidence intervals. For Fig. 3B and E, the values of each fixed effect are divided into tertiles. Numbers above each bar indicate sample size. Photograph by Bobby Habig.
Fig. 1 in Predictors of helminth parasite infection in female chacma baboons (Papio ursinus)
Fig. 1. Population and host level processes proposed to drive within group variation in helminth infection risk among female chacma baboon hosts (partially adapted from Akinyi et al., 2019; Habig et al., 2019). Four key drivers of parasite risk are examined: environmental conditions; reproductive stage; steroid hormones; and patterns of coinfection.
Fig. 1 in Helminth's assemblage of a small frog in the Brazilian semiarid: parasite-host-environment relationships
Fig. 1. Parasite load (total number of helminths per host) between females (N= 41) and males (N= 53) of Pseudopaludicola pocoto (Anura) from AssÚ municipality, Rio Grande do Norte state, northeastern Brazil.
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 Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 4. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites as a function of the number of authors of the original species description. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.
Fig. 3 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 3. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminths parasitising six host groups. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 14 fish, 1 amphibian, 5 reptiles, 1 bird and 4 mammals) and greater than 30 mentions (comprising 1 amphibian, 1 bird and 1 mammal) are excluded to avoid distorting the figures.
Fig. 2 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 2. Box plots (median and interquartile range) showing (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites of five higher taxa. Data from the Zoological Record™ database. Values greater than 50 citations (comprising 1 cestode, 10 monogeneans, 3 trematodes, and 11 nematodes) and greater than 30 mentions (comprising 1 trematode and 2 nematodes) are excluded to avoid distorting the figures.
Fig. 1 in Biases in parasite biodiversity research: why some helminth species attract more research than others
Fig. 1. Frequency distribution of (A) number of citations received by species descriptions following their publication, and (B) number of mentions of a species' name in the scientific literature following its description, for helminth parasites described between the years 2000 and 2018. Data from the Zoological Record™ database. Extreme values (25 species descriptions with more than 50 citations; 3 species with more than 30 mentions) are excluded to avoid distorting the figures.
Fig. 3 in Ranavirus and helminth parasite co-infection in invasive American bullfrogs in the Atlantic forest, Brazil
Fig. 3. (a) The negative relationship between log-transformed Nematoda abundance and Ranavirus load (copies-ng; P <0.05). Points represent individuals that tested positive for Ranavirus infection with viral load assay data (N = 12). The nematode abundances in Ranavirus-negative individuals are shown on the x-axis. (b) The relationship between log-transformed total macroparasite abundance and bullfrog snout-vent length (cm) and Ranavirus infection status with fitted regression lines (P <0.001). Data represent individuals from sites that had at least one Ranavirus infection (4 sites, N = 35).
Fig. 2 in Ranavirus and helminth parasite co-infection in invasive American bullfrogs in the Atlantic forest, Brazil
Fig. 2. (a) Observed occurrence matrix of presence (red cells) and absence (white cells) of Ranavirus and helminth taxa (6 rows) infection in individual bullfrogs (Aquarana catesbeiana; 65 columns). (b) Simulated occurrence matrix (65 columns, one null matrix out of 1000 simulations). (c) Distribution of simulated cooccurrence metric (blue histogram bars; 1000 null matrices). Vertical red line = observed co-occurrence metric. Dashed vertical lines = 95% and 99% confidence intervals. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Ranavirus and helminth parasite co-infection in invasive American bullfrogs in the Atlantic forest, Brazil
Fig. 1. Distribution of helminth macroparasite taxa and Ranavirus infection status and prevalence across sampling locations. The thick gray outline shown in the inset map of Brazil highlights the states where American bullfrog (Aquarana catesbeiana) sampling took place (SP = S˜ao Paulo, PR = Paran´a, SC = Santa Catarina). Green shading represents tropical and subtropical forest biomes. Sample locations included Embu das Artes (Site 1, N = 13), Piedade (Site 2, N = 10), and Iporanga (Site 3, N = 4) in S˜ao Paulo; Quatro Barras (Site 4, N = 10), Piraquara (5, N = 2), and S˜ao Jose´dos Pinhais (Site 6, N = 4) in Paran´a; and Blumenau (Site 7, N = 9), Urubici (Site 8, N = 10), and Chapeco´(Site 9, N = 3) in Santa Catarina. Helminth pie chart size corresponds to average helminth abundance in bullfrogs. Differences in helminth taxa richness (P <0.001) and evenness (PIE; P <0.001) were detected; however, helminth abundance did not differ among sites between collection sites. Sites where Ranavirus was detected (N = 4) have a corresponding pie chart, in which the size corresponds to average viral load (copies-ng) per individual at a site. Estimated Ranavirus prevalence among the positive sites did not differ significantly (P = 0.06). Viral load of positive individuals differed among sites (P <0.05), but differences were driven by the high load found in the single Blumenau (Site 7) Ranavirus-positive bullfrog. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Helminth parasites of alien freshwater fishes in Patagonia (Argentina)
Fig. 1. Map of Argentinean Patagonia; the sampling localities of present study are shown.
Figure 3 in Detection of helminth parasites in commercialized turtles: threats to native Testudines in northeast India
Figure 3. Dichelyne species: (A) Esophagus, lateral view, and (B) Tail, lateral view.
Figure. Location of Beymelek Lagoon in southern Turkey. in Prevalence and intensity of parasitic helminths of thicklip grey mullet Chelon labrosus in hosts in Beymelek Lagoon Lake in Antalya, Turkey, according to season, host size, age, and sex of the host
Figure. Location of Beymelek Lagoon in southern Turkey.
Data from: Infection by a helminth parasite is associated with changes in DNA methylation in the house sparrow
<p>Parasites can exert strong selective pressures on their hosts and influence the evolution of host immunity. While several studies have examined the genetic basis for parasite resistance, the role of epigenetics in the immune response to parasites is less understood. Yet, epigenetic modifications, such as changes in DNA methylation, may allow species to respond rapidly to parasite prevalence or virulence. To test the role of DNA methylation in relation to parasite infection we examined genome-wide DNA methylation before and during infection by a parasitic nematode, <em>Syngamus trachea</em>, in a natural population of house sparrows (<em>Passer domesticus</em>) using reduced representation bisulfite sequencing (RRBS). We found that DNA methylation levels were slightly lower in infected house sparrows, and identified candidate genes relating to the initial immune response, activation of innate and adaptive immunity, and mucus membrane functional integrity that were differentially methylated between infected and control birds. Subsequently, we used methylation-sensitive high-resolution melting (MS-HRM) analyses to verify the relationship between methylation proportion and <em>Syngamus trachea </em>infection status at two candidate genes in a larger sample dataset. We found that methylation level at <em>NR1D1</em>, but not <em>CLDN22</em>, remained related to infection status, and that juvenile recruitment probability was positively related to methylation level at <em>NR1D1</em>. This underscores the importance of performing follow up studies on candidate genes. Our findings demonstrate that plasticity in the immune response to parasites can be epigenetically mediated, and <span>highlight</span><span> </span><span>the potential for epigenetic studies </span><span>in natural populations </span><span>to provide </span><span>further</span><span> mechanistic </span><span>insight</span><span> </span><span>into</span><span> host-parasite interactions.</span></p>
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