Although feline platynosomosis has been commonly reported in several parts of the world, the taxonomy and epidemiological chain related to cat liver flukes remain controversial. In this study, nuclear ribosomal ITS, 28S, and mitochondrial cox1 sequences obtained for Platynosomum illiciens from cat, marmoset, lizard, and snail found naturally infected in Brazil reveal no significant molecular differences between these isolates. Moreover, sequence data confirm that Brazilian P. illiciens from different hosts is conspecific with parasites obtained from cats in Vietnam, supporting wide distribution of the species. The lack of pronounced specificity of P. illiciens to definitive hosts is confirmed here for the first time using molecular approach. The results are discussed in context of the epizootology of platynosomosis.
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http://dx.doi.org/10.1007/s00436-018-5866-y | DOI Listing |
Plant Cell Environ
January 2025
Department of Experimental Plant Biology, Faculty of Sciences, Charles University, Prague, Czechia.
To identify novel genes engaged in plant epidermal development, we characterized the phenotypic variability of rosette leaf epidermis of 310 sequenced Arabidopsis thaliana accessions, focusing on trichome shape and distribution, compositional characteristics of the trichome cell wall, and histologically detectable metal ion distribution. Some of these traits correlated with cLimate parameters of our accession's locations of origin, suggesting environmental selection. A novel metal deposition pattern in stomatal guard cells was observed in some accessions.
View Article and Find Full Text PDFPlant Divers
November 2024
Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
The angiosperm family Elaeagnaceae comprises three genera and . 100 species distributed mainly in Eurasia and North America. Little family-wide phylogenetic and biogeographic research on Elaeagnaceae has been conducted, limiting the application and preservation of natural genetic resources.
View Article and Find Full Text PDFData Brief
February 2025
North Carolina Agricultural and Technical State University, 1601 E Market St, Greensboro, NC 27411, United States.
Contemporary research in 3D object detection for autonomous driving primarily focuses on identifying standard entities like vehicles and pedestrians. However, the need for large, precisely labelled datasets limits the detection of specialized and less common objects, such as Emergency Medical Service (EMS) and law enforcement vehicles. To address this, we leveraged the Car Learning to Act (CARLA) simulator to generate and fairly distribute rare EMS vehicles, automatically labelling these objects in 3D point cloud data.
View Article and Find Full Text PDFPhytochem Anal
January 2025
Rehabilitation Pharmacy Center, Affiliated Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Introduction: Angelica sinensis is one of the most popular traditional Chinese medicines (TCM) and has been extensively used to treat various diseases. Hundreds of endogenous ingredients have been isolated and identified from this herb, but their spatial distribution within the plant root is largely unknown.
Objectives: In this study, we tried to investigate and map within-tissue spatial distribution of metabolites in Angelica sinensis roots.
Mol Ecol
January 2025
Department of Ecology and Evolutionary Biology, Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA.
Environmental variation often drives evolutionary processes like population differentiation, local adaptation and speciation. We used genome-scale data to investigate the contribution of environmental variation to evolution of the North Caribbean bark anole (Anolis distichus), a widespread common lizard that exhibits impressive phenotypic variation across varying habitats on the island of Hispaniola. We obtained new double-digest restriction-associated DNA sequence data (ddRADseq) from nearly 200 individuals and used 53 GIS data layers representing a range of environmental variables.
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