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Fig. 3 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 3. The sequences of SRA-PCR–positive samples from buffalo, sable antelope, and vervet monkey are determined and the deduced amino acid were aligned with deposited representative sequences from Zambia, Kenya, and Uganda.
Fig. 2. ITS1 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 2. ITS1-PCR Gel analysis Gel image of the ITS-PCR-positive samples. The species were estimated by the band size. The expected sizes for each species are T. godfreyi: 220 bp, T. simiae: 331–343 bp, T. theileri: 269–350 bp, T. brucei: 415–431 bp, T. congolense: 560–705 bp (Gaithuma et al., 2019).
Fig. 1 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 1. The Kafue ecosystem comprising of the KNP and surrounding GMAs. The black spots indicate sampling points and the red spots indicate areas where rHAT was detected. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 4. Bayesian Inference (BI)/Maximum Likelihood (ML) analysis showing the phylogenetic position of Trypanosoma haploblephari (Yeld and Smit, 2006) genotypes representing morphotypes A and B inferred from partial 18S rRNA gene sequences. Comparative sequences representing known Trypanosoma species, with Trypanosoma avium (KT728402) as outgroup, were obtained from GenBank. Tree topologies for both the BI and ML trees were identical; the nodal support values (BI/ML) are represented on the BI tree. Some branches have been shortened with each //= 0.04 substitutions per site.
Fig. 3 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 3. Micrographs of Trypanosoma haploblephari (Yeld and Smit, 2006) morphotype A (A–C) and T. haploblephari morphotype B (D–F) in Giemsa-stained blood films of Haploblepharus pictus and Poroderma pantherinum, respectively. Blood stage with kinetoplast (k) and undulating membrane (μm) visible (A–C); slender forms (B, E); presence of a flagellum (f) in deeply stained individuals (C, F). Scale bar: 10 μm.
Fig. 2 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 2. Line drawing of Trypanosoma haploblephari (Yeld and Smit, 2006) from the host Poroderma pantherinum (Slide HE18-18) next to a drawing of a red blood cell.
Fig. 1. The trypanosomes from European moose. A, B in Molecular identification of Trypanosoma theileri complex in Eurasian moose Alces alces (L.)
Fig. 1. The trypanosomes from European moose. A, B. light microscope images; C. drawing scheme. Scale bar 10 μm.
Distinct roles for H4 and H2A.Z acetylation in RNA transcription in African trypanosomes
<p>This repository contains the run scripts for this publication.</p> <p><strong>Complete data download</strong><br> http://resources-molpara.vetmed.lmu.de/Kraus_et_al_2019_sequencing_analysis.tar.gz</p> <p><strong>Contents of the tar.gz archive:</strong><br> upload_sequencing/<br> ├── bin/<br> │ ├── scripts necessary to run the pipeline<br> ├── input/<br> │ ├── input files<br> ├── output/<br> │ ├── output files for ChIP and RNA-seq<br> └── output2/<br> └── output files for ATAC-seq</p> <p><strong>Abstract</strong><br> Despite histone H2A variants and acetylation of histones occurring in almost every eukaryotic organism, it has been difficult to establish direct functional links between canonical histone or H2A variant acetylation, deposition of H2A variants and transcription. To disentangle these complex interdependent processes, we devised a highly sensitive strategy for quantifying histone acetylation levels at specific genomic loci. Taking advantage of the unusual genome organization in <em>Trypanosoma brucei</em>, we identify 58 histone modifications enriched at transcription start sites (TSSs). Furthermore, we find TSS-associated H4 and H2A.Z acetylation to be mediated by two different histone acetyltransferases, HAT2 and HAT1, respectively. Whereas depletion of HAT2 decreases H2A.Z deposition and shifts the site of transcription initiation, depletion of HAT1 does not affect H2A.Z deposition but reduces total mRNA levels by 50%. Thus, specifically reducing H4 or H2A.Z acetylation levels enabled us to reveal distinct roles for these modifications in H2A.Z deposition and RNA transcription.</p>
Fig. 1 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 1. Geographical origin of the different species of marsupials trapped in this study.
Fig. 1 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 1. Map of sampling sites on the south coast of South Africa.
Glycerol suppresses glucose consumption in trypanosomes through metabolic contest
<p>The file contains all the source data presented in the manuscript:</p> <p>Allmann S., M. Wargnies, E. Cahoreau, M. Biran, N. Plazolles, P. Morand, E. Pineda, H. Kulyk-Babier, C. Asencio, O. Villafraz, L. Rivière, E. Tetaud, B. Rotureau, A. Mourier, J.-C. Portais, & F. Bringaud (<strong>2021</strong>) Glycerol suppresses glucose consumption in Trypanosomes through metabolic contest. <strong><em>PLoS</em></strong> <strong><em>Biol</em></strong>.</p>
Local ancestry to identify selection in response to trypanosome infection in Baoulé x Zebu crossbred cattle in Burkina Faso
<p><span>The genomes of crossbred (admixed) individuals are a mosaic of ancestral haplotypes formed by recombination in each generation. The proportion of these ancestral haplotypes in certain genomic regions can be responsible for either susceptibility or resistance against pathogens, and for performances in production traits. Using dense genomic markers from the Illumina Bovine SNP50 BeadChip, we estimated individual admixture proportions for Baoulé x Zebu crossbred cattle in Burkina Faso, which were tested for trypanosome infection by direct ELISA from blood samples. Furthermore, we calculated local ancestry deviation from average for each SNP across 29 autosomes to identify potential regions under selection in the trypanotolerant Baoulé cattle and their crossbreds. We identified significant deviation from the local average ancestry (above 5% and 10% genome-wide thresholds) on chromosomes 8 and 19 in the positive animals, while the negative ones showed higher deviation on chromosomes 6, 19, 21 and 22. Screening for <i>F</i><sub>ST</sub> outliers in trypanosome positive/ negative animals we detected seven variants putatively under selection. Finally, we identified a minimum set of highly ancestry informative SNPs for routine admixture testing. Generally, results will serve as basis for further characterization, conservation and improvement strategies for purebred and crossbred populations. Our results are important not only for conserving the genetic integrity in the indigenous Baoulé cattle, but also for improving community-based breeding programs to increase trypanotolerance in crossbred populations.</span></p>
Local ancestry to identify selection in response to trypanosome infection in Baoulé x Zebu crossbred cattle in Burkina Faso
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Data from: Robustness of the outcome of adult bumblebee infection with a trypanosome parasite after varied parasite exposures during larval development
The outcome of defence by the invertebrate immunity has recently been shown to be more complex than previously thought. In particular, the outcome is affected by biotic and abiotic environmental variation, host genotype, parasite genotype, and their interaction. Knowledge of conditions under which environmental variation affects the outcome of an infection is one important question that relates to this complexity. We here use the model system of the bumblebee, Bombus terrestris infected by the trypanosome, Crithidia bombi, combined with a split-colony design to test the influence of the parasite environment during larval rearing on adult resistance. We find that genotype-specific interactions are maintained, and adult resistance is not influenced. This demonstrates that environmental dependence of bumblebee-trypanosome interactions is not ubiquitous, and yet unknown constraints will maintain standard co-evolutionary dynamics under such environmental deviations.
Fig. 2. A-B in Species-level identification of trypanosomes infecting Australian wildlife by High-Resolution Melting - Real Time Quantitative Polymerase Chain Reaction (HRM-qPCR)
Fig. 2. A-B: (A) Derivative melt curves of T. copemani, T. noyesi G8, T. vegrandis G7; (B) Derivative melt curves of T. microti, T. cruzi and T. rangeli.
Fig. 6. A-D in Species-level identification of trypanosomes infecting Australian wildlife by High-Resolution Melting - Real Time Quantitative Polymerase Chain Reaction (HRM-qPCR)
Fig. 6. A-D: (A) Derivative melt curves of wildlife samples containing T. copemani and T. vegrandis G7 infections from woylie tissue and the (B) the respective normalised melt domains; (C) Derivative melt curves of wildlife samples containing mixed infections with T. copemani and T. noyesi G8 in woylie blood; (D) Derivative melt curves showing wildlife samples containing mixed infections of T. copemani, T. noyesi G8 and T. vegrandis G7 in woylie tissue.
Data from: Robustness of the outcome of adult bumblebee infection with a trypanosome parasite after varied parasite exposures during larval development
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Data from: Food-environment mediates the outcome of specific interactions between a bumblebee and its trypanosome parasite
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Effect of the depletion of ZC3H41 (Tb927.11.1980) on the transcriptome of procyclic Trypanosome brucei
GEO Series GSE212921. Trypanosoma brucei brucei. 3 samples. Type: Expression profiling by high throughput sequencing.
DRBD3 regulates long non-coding RNA abundance and cryptic splice site selection in trypanosomes
GEO Series GSE272310. Trypanosoma brucei brucei. 15 samples. Type: Expression profiling by high throughput sequencing.
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