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Adaptation of clinical bacteriology techniques for remote polar research.
Appl Environ Microbiol
January 2025
Clinical Infection Department, Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom.
Unlabelled: Remote polar regions offer unique opportunities and significant challenges for antimicrobial resistance research in a near-pristine environment. While core microbiology techniques continue to have an important role in supporting environmental research, the severe cold climate presents considerable challenges to laboratory research. We explore adaptations required for core bacteriology investigations in polar regions on an unsupported remote expedition c.
View Article and Find Full Text PDFAssessment of Bacteriological Quality and Antibiotic Resistance in Locally and Industrially Produced Ice Creams: A Study on Probiotic Incorporation for Enhanced Safety and Health Benefits in Kushtia City, Bangladesh.
Probiotics Antimicrob Proteins
January 2025
Department of Biotechnology and Genetic Engineering, Faculty of Biological Science, Islamic University, Kushtia, 7003, Bangladesh.
Ice creams are consumable foods that have the potential to be used as probiotic carriers. The purpose of this study was to evaluate the bacteriological quality (i.e.
View Article and Find Full Text PDFLonicera caerulea genome reveals molecular mechanisms of freezing tolerance and anthocyanin biosynthesis.
J Adv Res
December 2024
Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin 150040, China; College of Life Science, Northeast Forestry University, Harbin 150040, China. Electronic address:
Introduction: Lonicera caerulea L. (blue honeysuckle) is a noteworthy fleshy-fruited tree and a prominent medicinal plant, which possesses notable characteristics such as exceptional resilience to winter conditions and early maturation, and the richest source of functional anthocyanins, particularly cyanidin-3-glucoside. The molecular mechanisms responsible for its freezing tolerance and anthocyanin biosynthesis remain largely unknown.
View Article and Find Full Text PDFCharacterization of integrative and conjugative elements carrying erm(B) and tet(O) resistance determinants in streptococcus uberis isolates from bovine milk in Chiba prefecture, Japan: CompArative GEne cluster analysis toolbox with ICEfinder.
BMC Res Notes
December 2024
Laboratory of Infectious Diseases, Graduate School of Infection Control Sciences and Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Objective: We aimed to characterize integrative and conjugative elements (ICEs) in antimicrobial resistant Streptococcs uberis isolates from bovine milk in Chiba, Japan, based on whole-genome sequence (WGS) data.
Results: Of the 101 isolates, we found the 36 isolates harboring erm(B)-tet(O), showing resistance to macrolides-lincosamides-tetracyclines. The 22 isolates were randomly selected and subject to WGS determination.
Enhanced iodinated disinfection byproducts formation in iodide/iodate-containing water undergoing UV-chloramine sequential disinfection: Machine learning-aided identification of reaction mechanisms.
Water Res
December 2024
State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, PR China. Electronic address:
Restricted to the complex nature of dissolved organic matter (DOM) in various aquatic environments, the mechanisms of enhanced iodinated disinfection byproducts (I-DBPs) formation in water containing both I and IO (designated as I/IO in this study) during the ultraviolet (UV)-chloramine sequential disinfection process remains unclear. In this study, four machine learning (ML) models were established to predict I-DBP formation by using DOM and disinfection features as input variables. Extreme gradient boosting (XGB) algorithm outperformed the others in model development using synthetic waters and in cross-dataset generalization of surface waters.
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