American foulbrood (AFB) is an infectious disease of honey bee brood caused by the endospore-forming bacterium spores are resilient in the environment, thus colonies with clinical signs of AFB are often destroyed by burning to eradicate the causative agent. To prevent outbreaks of AFB, oxytetracycline metaphylaxis is widely used in North America, resulting in sustained selective pressure for oxytetracycline resistance in . To determine if antimicrobial resistance (AMR) is present among isolates from commercial beekeeping operations in Saskatchewan, Canada, we performed antimicrobial susceptibility testing of 718 samples cultured from pooled, extracted honey collected from 52 beekeepers over a 2-y period, 2019 and 2020. We found that 65 of 718 (9%) samples collected from 8 beekeepers were resistant to oxytetracycline with minimum inhibitory concentration (MIC) values of 64-256 µg/mL. Eight of 718 (1%) samples from 4 beekeepers had intermediate resistance to oxytetracycline (MIC: 4-8 µg/mL). Susceptibility testing for tylosin and lincomycin indicated that in Saskatchewan continue to be susceptible to these antimicrobials (tylosin MIC: <1 µg/mL, lincomycin MIC: ≤2 µg/mL). Most oxytetracycline-resistant samples were identified in northeastern Saskatchewan. Whole-genome sequence analysis identified the -specific plasmid with tetracycline-resistance gene (L) in 9 of 11 oxytetracycline-resistant isolates sequenced. Our results highlight the advantage of using pooled, extracted honey as a surveillance tool for monitoring AMR in .
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http://dx.doi.org/10.1177/10406387231200178 | DOI Listing |
Geriatrics (Basel)
January 2025
Department of Clinical Psychology, Psychobiology, and Methodology, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain.
The Coronavirus disease 2019 (COVID-19) pandemic seriously threatened the health and well-being of the population. This study aims to investigate the relevance of the COVID-19 pandemic on the stress, mental distress, and well-being of older people in Spain. The design was quantitative repeated cross-sectional.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Research Engineer I, Applied Research Center for Environment & Marine Studies, Research Institute, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during adverse weather conditions. Machine learning (ML) models offer improved predictions of DBPs in WDSs. This study developed multiple ML models to predict Trihalomethanes (THMs), Haloacetic Acids (HAAs), Dichloroacetonitrile (DCAN), and N-nitrosodimethylamine (NDMA) in WDSs using data collected over 13 years (2008-2020) from 113 water supply systems (WSS) in Ontario.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Health Management, School of Public Health, Nantong University, Nantong, China.
Background: This study aimed to investigate the relationship between sleep duration and myopia in school-age students, as well as to observe the role of physical activity as a mediating variable in sleep duration and myopia.
Methods: Using multistage stratified sampling, 26,020 school-age students in Jiangsu Province, ages 7-18, were selected for this cross-sectional survey. Each participant completed a standardized interview in which their were asked about their vision, level of physical activity and average hours of sleep per day over the past month.
BMC Cancer
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Department of Community & Family Medicine, All India Institute of Medical Sciences, 151001, Bathinda, Punjab, India.
Nucleic Acids Res
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Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
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