Melioidosis is caused by Burkholderia pseudomallei (Bp) acquired from the environment. Conventional identification methods for environmental Bp are challenging due to the presence of closely related species. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is accurate for bacterial identification, but has been little used to identify Bp from environmental samples. This study aims to evaluate MALDI-TOF MS for the identification of Bp and closely related species isolated from environmental samples in Thailand using whole-genome sequencing (WGS) as the gold standard, including determining the best sample preparation method for this purpose. We identified Bp (n = 22), Burkholderia spp. (n = 28), and other bacterial species (n = 32) using WGS. MALDI-TOF analysis of all Bp isolates yielded results consistent with WGS. A decision-tree algorithm identified 16 important variable peaks, using the protein extraction method (PEM), demonstrating distinct MALDI-TOF profiles for the three categories (Bp, Burkholderia spp. and "other bacterial species"). Three biomarker peaks (4060, 5196, and 6553 Da) could discriminate Bp from other Burkholderia and closely related species with 100% sensitivity and specificity. Hence, the MALDI-TOF technique has shown its potential as a species discriminatory tool, providing results comparable to WGS for classification and surveillance of environmental Bp.
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http://dx.doi.org/10.1016/j.meegid.2023.105532 | DOI Listing |
Heliyon
December 2024
Department of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Sciences, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, M13 9PL, United Kingdom.
Myanmar is a major rice exporter. Rice is an important source of nourishment for its population. However, rice can be contaminated with toxic elements, including arsenic, long-term exposure to which has been linked to several illnesses, including cancer.
View Article and Find Full Text PDFBioinform Adv
December 2024
Computer Science Department, Indiana University, Bloomington, IN 47408, United States.
Motivation: Microbial signatures in the human microbiome are closely associated with various human diseases, driving the development of machine learning models for microbiome-based disease prediction. Despite progress, challenges remain in enhancing prediction accuracy, generalizability, and interpretability. Confounding factors, such as host's gender, age, and body mass index, significantly influence the human microbiome, complicating microbiome-based predictions.
View Article and Find Full Text PDFSci Total Environ
December 2024
Restoration Research Team (Fishes/Amphibians & Reptiles), Research Center for Endangered Species, National Institute of Ecology, Yeongyang 36531, Republic of Korea. Electronic address:
Because of their noninvasive nature and high detection sensitivity, eDNA-based aquatic ecosystem surveys are useful for monitoring rare, elusive indicator species. Advancements in statistical techniques have expanded their use beyond simple population tracking to predict potential habitats based on the environmental conditions of sites detected eDNA. This study used species-specific molecular marker and targeted qPCR techniques to assess the distribution and habitat requirements of the endangered Gobiobotia naktongensis, a flagship fish species in Korean sandy river systems with increased public interest related to habitat restoration evaluations associated with dam construction.
View Article and Find Full Text PDFMicrosc Res Tech
December 2024
School of Life Sciences, Xiamen University, Xiamen, China.
Diatoms (Bacillariophyceae) are diverse and abundant microalgae, and many of them are found in marine intertidal environments. Here, we present a new marine epizoic diatom isolated from Euspira gilva Philippi in intertidal area of Beihai city, Guangxi Zhuang Autonomous Region, named Ceratanaulus alaris L.J.
View Article and Find Full Text PDFJ Gastrointestin Liver Dis
December 2024
Lynda K and David M Underwood Center for Digestive Disorders, Houston Methodist Hospital and Weill Cornell Medical College, Houston, Texas, USA.
Helicobacter pylori is a microorganism that is highly prevalent in mankind and closely linked to several gastroduodenal disorders. Though Helicobacter pylori was introduced to the scientific community in 1983 by Robin Warren and Barry Marshall, a closely related Helicobacter species had been described one hundred years earlier by the Italian pathologist Giulio Bizzozero in the canine stomach. In this review we analyze the different steps involved in the discovery of Helicobacter and provide a biography of the pioneer Giulio Bizzozero.
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