This review analyzed reported data of prevalence in camels and the species/genotype distribution. Four databases (PubMed, Web of Science, Scopus, Google Scholar) were screened, and studies published by April 1, 2024, were included. Total estimates and 95% CIs were calculated using a random-effects model. The weighted prevalence of spp. in 7372 camels examined from 12 different countries was estimated at 13.8% with a 95% CI of 10.3-18.4%. The sensitivity analysis based on excluding the individual studies did not result in significant statistical changes in the final weighted prevalence. Subgroup prevalence of spp. in camels was analyzed by publication year, continent, WHO region, country, camel type, sample size, diagnostic method, age, and gender. A significant publication bias ( < 0.05) was reported in the present study. Limitations encountered in this study encompassed: insufficient study diversity, reliance on single study results, inadequate molecular and serological studies in comparison to microscopic studies, etc., all of which could impact the findings. The study identified eight spp. in camels: , , , , , , , and . The first three species had pooled prevalence rates of 65.5%, 66%, and 19.2%, respectively. Each of the remaining five species was documented using a single dataset/study. Moreover, genotypes IIdA19G1, IIaA15G1R1, If-like-A15G2, IIdA15G1, IIaA15G2R1, IIaA17G2R1, and IIaA18G2R1 (), genotype IV (), genotype XIIa (), and genotype IkA19G1 () have been identified in camels globally. The findings suggest that camels can act as a source of infection for a variety of species/genotypes, and can therefore play a key role in disseminating this protozoan to humans and animals.
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http://dx.doi.org/10.1016/j.fawpar.2024.e00235 | DOI Listing |
Food Waterborne Parasitol
September 2024
Zoonoses Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
This review analyzed reported data of prevalence in camels and the species/genotype distribution. Four databases (PubMed, Web of Science, Scopus, Google Scholar) were screened, and studies published by April 1, 2024, were included. Total estimates and 95% CIs were calculated using a random-effects model.
View Article and Find Full Text PDFAIMS Microbiol
January 2024
Department of Agriculture and Fisheries, Biosecurity Sciences Laboratory, Coopers Plains QLD 4108.
A multi-stage option to address food-safety can be produced by a clearer understanding of 's persistence through the broiler production chain, its environmental niche and its interaction with bacteriophages. This study addressed levels, species, genotype, bacteriophage composition/ levels in caeca, litter, soil and carcasses across commercial broiler farming practices to inform on-farm management, including interventions. Broilers were sequentially collected as per company slaughter schedules over two-years from 17 farms, which represented four commercially adopted farming practices, prior to the final bird removal (days 39-53).
View Article and Find Full Text PDFBMC Vet Res
March 2024
University of Sarajevo - Veterinary Faculty, Zmaja od Bosne 90, Sarajevo, 71 000, Bosnia and Herzegovina.
Background: In Bosnia and Herzegovina, domestic and wild carnivores represent a significant driver for the transmission and ecology of zoonotic pathogens, especially those of parasitic aetiology. Nevertheless, there is no systematic research of Trichinella species in animals that have been conducted in Bosnia and Herzegovina, even though trichinellosis is considered the most important parasitic zoonosis. The available results of the few studies carried out in Bosnia and Herzegovina are mainly related to the confirmation of parasitic larvae in the musculature of domestic pigs and wild boars or data related to trichinellosis in humans.
View Article and Find Full Text PDFbioRxiv
May 2023
Department of Cell Biology and Anatomy, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB T2N 4N1, CANADA.
Classification is a fundamental task in biology used to assign members to a class. While linear discriminant functions have long been effective, advances in phenotypic data collection are yielding increasingly high-dimensional datasets with more classes, unequal class covariances, and non-linear distributions. Numerous studies have deployed machine learning techniques to classify such distributions, but they are often restricted to a particular organism, a limited set of algorithms, and/or a specific classification task.
View Article and Find Full Text PDFMol Plant Microbe Interact
November 2022
Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, U.S.A.
The development of pepper cultivars with durable resistance to the oomycete has been challenging due to differential interactions between the species that allow certain pathogen isolates to cause disease on otherwise resistant host genotypes. Currently, little is known about the pathogen genes involved in these interactions. To investigate the genetic basis of virulence on individual pepper genotypes, we inoculated sixteen pepper accessions, representing commercial varieties, sources of resistance, and host differentials, with 117 isolates of , for a total of 1,864 host-pathogen combinations.
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