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Fig. 2 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 2. Mean intensity of infestation of adult ticks collected from wild pigs from May 22, 2015 to May 09, 2017. Ticks which could not be identified to species were excluded from this figure. Values of zero indicate that wild pigs were sampled during that month, but no adults of the indicated species were collected.

Fig. 4 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 4. Estimated mean density of host-seeking ticks per 10 m 2 by life stage and habitat type with 95% confidence intervals shown as vertical bars. Numerical values for the estimated mean densities and 95% confidence intervals are reported in Table S5.

Fig. 1 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 1. Location of Buck Island Ranch, Lake Placid, Florida denoted by blue circle. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 3 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 3. Average density of adults collected by dragging from May 14, 2015 to August 29, 2017. Values of zero indicate that drags were conducted during that month in the specified habitat, but no adults of the indicated species were collected. Symbol colors denote habitat and symbol shapes denote tick species. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Dec 2018View details →

Fig. 1 in Ticks, rickettsial and erlichial infection in small mammals from Atlantic forest remnants in northeastern Brazil

Fig. 1. Bayesian analysis tree inferred from dsb gene partial sequences of Ehrlichia spp. Numbers at nodes are support values derived from posterior probability. The sequence obtained in this study (Ehrlichia sp. strain Natal) is in bold. Numbers in brackets are GenBank accession numbers. Scale bar: units of expected substitutions per site.

opencc-by-4.0Dec 2018View details →

Fig. 1 in Infestation of introduced raccoons (Procyon lotor) with indigenous ixodid ticks on the Miura Peninsula, Kanagawa Prefecture, Japan

Fig. 1. Map of the Miura Peninsula, Kanagawa Prefecture, Japan. The prefecture is located southeast of Kanto Plain. The square indicates our study area, which includes Yokosuka City and Hayama Town.

opencc-by-4.0Dec 2018View details →

Fig. 2 in Infestation of introduced raccoons (Procyon lotor) with indigenous ixodid ticks on the Miura Peninsula, Kanagawa Prefecture, Japan

Fig. 2. Temporal change of raccoon infesting Haemaphysalis flava in the Miura Peninsula, Japan from April 2015 to June 2016.

Fig. 1 in Molecular surveillance of piroplasms in ticks from small and medium-sized urban and peri-urban mammals in Australia

Fig. 1. Bayesian phylogenetic reconstruction of the novel Babesia and Theileria spp. identified in ticks from brushtail possums and bandicoots using a multiple nucleotide alignment of 1701 bp at the 18S locus. Inset trees were produced on the basis of a shorter alignment (856 bp) with the inclusion of (a) B. macropus and (b) T. penicillata, T. brachyuri, and T. fuliginosus. Bold represents sequences identified in this study. GenBank accession numbers are shown in parentheses. Node labels represent posterior probabilities.

DNA sequences alignements for 27 species of ticks (SCO50 matrix)

The two files contain respectively the concatenation of DNA sequences alignements for 27 species of ticks (SCO50 matrix, n=952 genes) and to the partition file indicating the positions of each gene in the concatenation. The data set corresponds to the article "A transcriptome-based phylogenetic study of hard ticks (Ixodidae)" to be published in Scientific Reports, by N Pierre Charrier, Axelle Hermouet, Caroline Hervet, Albert Agoulon, Stephen Barker, Dieter Heylen, Céline Toty, Karen McCoy, Olivier Plantard, Claude Rispe.

opencc-by-4.0Mar 2016View details →

Fig. 3 in Ixodid Ticks (Acari, Ixodidae) In Urban Landscapes. A Review

Fig. 3. Diagram of indexes of references of mass hard tick species that adapted to European urban landscapes (including Russia).

Fig. 2. Ornithodoros huajianensis n in Ornithodoros (Ornithodoros) huajianensis sp. nov. (Acari, argasidae), a new tick species from the Mongolian marmot (Marmota bobak sibirica), Gansu province in China

Fig. 2. Ornithodoros huajianensis n. sp. (female, holotype): E) Tarsi I ∼ IV; F) Spiracle plate; G) genital apron.

Fig. 4. Ornithodoros huajianensis n in Ornithodoros (Ornithodoros) huajianensis sp. nov. (Acari, argasidae), a new tick species from the Mongolian marmot (Marmota bobak sibirica), Gansu province in China

Fig. 4. Ornithodoros huajianensis n. sp. (nymph, paratype): A) ventral view, entire; B) Coxa I ∼ IV; C) basis capitulum; D) tarsi II and IV; E) Spiracular plate.

Fig. 2 in Comparative microbiomes of ticks collected from a black rhino and its surrounding environment

Fig. 2. (a) The distribution of bacterial taxa at the species level in tick samples collected from Eliska's body and from the field. Each bar depicts the mean relative abundance value of independent replicates. Species comprising more than 1% of reads are shown. Each bar depicts the mean relative abundance value of independent replicates (n = 4 ticks collected from the field; n = 3 ticks collected from Eliska's body). (b) LEfSe analysis of differentially abundant bacterial taxa between ticks collected from Eliska's body and ticks collected from the field. Only taxa meeting an LDA significant threshold of> 2 are shown.

Fig. 1 in Comparative microbiomes of ticks collected from a black rhino and its surrounding environment

Fig. 1. Box plots showing the alpha diversities (measurement of species richness and evenness within a habitat unit) of: (a) the number of operational taxonomic units (OTUs) found in microbiome taxonomic profiling (MTP); and (b) phylogenetic diversity (abundance); (c) Pielou diversity (equity); and (d) Shannon diversity (measurement of richness and equity in the distribution of species) among the samples from Eliska. Bars indicate the median, and the hinges represent the lower and upper quartiles. In panel (a), there are no statistically significant differences between the two groups. However, in panels (b), (c), and (d), there are statistically significant differences between the two groups. (e) Unweighted pair group method with arithmetic mean (UPGMA) clustering, and (f) principal-coordinate analysis depicting differences in taxonomic compositions of bacterial communities in Amblyomma gemma samples collected from Eliska's body and from the field. * indicates statistical differences between the two groups of ticks (Wilcoxon rank-sum test, p <0.05).

opencc-by-4.0Dec 2020View details →

Fig. 4 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas

Fig. 4. Phylogentic analysis of sca0 (rompA) sequences from putative Rickettsia sp. endosymbionts of Amblyomma maculatum and Ixodes scapularis ticks collected from white-tailed deer in southern Texas. This is a maximum-likelihood tree that is rooted at midpoint. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. Sequences from GenBank used in the comparative analysis were annotated as rickettsial endosymbionts. Accession numbers and tick species from which sequence was identified are included on the branch label.

opencc-by-4.0Dec 2020View details →

Fig. 3 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas

Fig. 3. Phylogentic analysis of Theileria sp. fragments from Anocenter nitens ticks. Representative Type F, Type G, and 'divergent' Theileria sp. sequences were identified from individual A. nitens ticks collected from white-tailed deer and a single nilgai host (bold labels). A maximum-likelihood tree was constructed using Toxoplasma gondii as the outgroup, as it is from a different axpicomplexan class than Theileria. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. GenBank accession numbers and annotated identification for sequences used in the comparative analysis are indicated on the branch labels. Accession numbers in italics are those T. cervi sequences from white-tailed deer on the East Foundation's San Antonio Viejo Ranch in Starr and Jim Hogg Counties, Texas (Yu et al., 2020).

Fig. 2 in Prevalence of common tick-borne pathogens in white-tailed deer and coyotes in south Texas

Fig. 2. Geographic representation of study area and molecular prevalence of tick-borne pathogens in coyotes of Texas.

Fig. 2 in Effects of introduced sika deer (Cervus nippon) and population control activity on the distribution of Haemaphysalis ticks in an island environment

Fig. 2. Seasonal changes in tick abundance of the dominant species (A) H. megaspinosa, (B) H. longicornis, and (C) H. cornigera on Niijima Island. (Broken line with black dot: Larvae, Dotted-dashes line with back triangles: Nymphs, Solid line with crosses: Adults).

Fig. 3 in Effects of introduced sika deer (Cervus nippon) and population control activity on the distribution of Haemaphysalis ticks in an island environment

Fig. 3. Statistical summary of the abundances of H. megaspinosa larvae. (A) Days since the last sika deer was captured in August–November, (B) days since the last sika deer was captured in August–November for the high sika deer group, and (C) days since the last sika deer was captured in August–November for the low sika deer group. (X mark inside box: mean, lower and upper side of the box: first and third quartiles, line inside box: median, lower and upper error lines 10th and 90th percentiles, respectively, circles: data falling outside 10th and 90th percentiles).

Fig. 1 in Prevalence of common tick-borne pathogens in white-tailed deer and coyotes in south Texas

Fig. 1. Texas counties where samples were collected. (A) Purple denotes Jim Hogg and Starr counties where WTD samples were collected from the East Foundation's San Antonio Viejo Ranch while coyote samples originated from counties highlighted in blue (B). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)