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6 results for “tick microbiome”
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).
Tick microbiomes in neotropical forest fragments are best explained by tick-associated and environmental factors rather than host blood source
<p>The composition of tick microbiomes varies both within and among tick species. Whether this variation is intrinsic (related to tick characteristics), or extrinsic (related to vertebrate host and habitat) is poorly understood but important, as microbiota can influence the reproductive success and vector competence of ticks. We aimed to uncover what intrinsic and extrinsic factors best explain the microbial composition and taxon richness of 11 species of Neotropical ticks, collected from eight species of small mammals in 18 forest fragments across central Panama. Microbial richness varied among tick species, life stages, and collection sites, but was not related to host blood source. Microbiome composition was best explained by tick life stage, with bacterial assemblages of larvae being a subset of those of nymphs. Collection site explained most of the bacterial taxa with differential abundance across intrinsic and extrinsic factors. <i>Francisella </i>and <i>Rickettsia </i>were highly prevalent, but their proportional abundance differed greatly among tick species and we found both positive and negative co-occurrence between members of these two genera. Other tick endosymbionts (e.g. <i>Coxiella</i>, <i>Rickettsiella</i>) were associated with specific tick species. In addition, we detected <i>Anaplasma</i> and <i>Bartonella </i>in several tick species. Our results indicate that the microbial composition and richness of Neotropical ticks are principally related to intrinsic factors (tick species, life stage) and collection site. Taken together, our analysis informs how tick microbiomes are structured and can help anchor our understanding of tick microbiomes from tropical environments more broadly.</p>
Tick microbiomes in neotropical forest fragments are best explained by tick-associated and environmental factors rather than host blood source
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Data from: Microbiome changes through ontogeny of a tick pathogen vector
Blacklegged ticks (Ixodes scapularis) are one of the most important pathogen vectors in the United States, responsible for transmitting Lyme disease and other tick-borne diseases. The structure of a host's microbial community has the potential to affect the ecology and evolution of the host. We employed high-throughput sequencing of the 16S rRNA gene V3-V4 hypervariable regions in the first study to investigate the tick microbiome across all developmental stages (larvae, nymphs, adults). In addition to field-collected life stages, newly hatched laboratory-reared larvae were studied to determine the baseline microbial community structure and to assess transovarial transmission. We also targeted midguts and salivary glands due to their importance in pathogen maintenance and transmission. Over 100 000 sequences were produced per life stage replicate. Rickettsia was the most abundant bacterial genus across all sample types matching mostly the Ixodes rickettsial endosymbionts, and its proportion decreased as developmental stage progressed, with the exception of adult females that harboured a mean relative abundance of 97.9%. Laboratory-reared larvae displayed the lowest bacterial diversity, containing almost exclusively Rickettsia. Many of the remaining bacteria included genera associated with soil, water and plants, suggesting environmental acquisition while off-host. Female organs exhibited significantly different β-diversity than the whole tick from which they were derived. Our results demonstrate clear differences in both α- and β-diversity among tick developmental stages and between tick organs and the tick as a whole. Furthermore, field-acquired bacteria appear to be very important to the overall internal bacterial community of this tick species, with influence from the host bloodmeal appearing limited.
Data from: Microbiome changes through ontogeny of a tick pathogen vector
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.