Stingless bees, a social corbiculate bee member, play a crucial role in providing pollination services. Despite their importance, the structure of their microbiome, particularly the fungal communities, remains poorly understood. This study presents an initial characterization of the fungal community associated with two Thai commercial stingless bee species, (Smith) and (Schwarz) from Chiang Mai, Thailand. Utilizing ITS amplicon sequencing, we identified distinct fungal microbiomes in these two species. Notably, fungi from the phyla Ascomycota, Basidiomycota, Mucoromycota, Mortierellomycota, and Rozellomycota were present. The most dominant genera, which varied significantly between species, included and . Additionally, several key enzymes associated with energy metabolism, structural strength, and host defense reactions, such as adenosine triphosphatase, alcohol dehydrogenase, -glucosidase, chitinase, and peptidylprolyl isomerase, were predicted. Our findings not only augment the limited knowledge of the fungal microbiome in Thai commercial stingless bees but also provide insights for their sustainable management through understanding their microbiome.
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http://dx.doi.org/10.3389/fcimb.2024.1367010 | DOI Listing |
Foods
December 2024
Food Technology and Innovation Research Center of Excellence, School of Agricultural Technology and Food Industry, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Genetic differences typically cause differences in the structure and function of proteins in meat. The objective of this research was to examine the biochemical characteristics and functional behavior of proteins in fresh composite meat from Thai Ligor hybrid chicken (LC) and commercial broiler chicken (BC). The composite meat samples, which comprise minced breast and thigh without skin from 20 chicken carcasses in a 1:1 (/) ratio, were randomly selected for analysis using the completely randomized design (CRD).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.
Among control methods for robotic exoskeletons, biologically inspired control based on central pattern generators (CPGs) offer a promising approach to generate natural and robust walking patterns. Compared to other approaches, like model-based and machine learning-based control, the biologically inspired control provides robustness to perturbations, requires less computational power, and does not need system models or large learning datasets. While it has shown effectiveness, a comprehensive evaluation of its user experience is lacking.
View Article and Find Full Text PDFFront Oral Health
December 2024
Department of Periodontics, Sri Balaji Dental College and Hospital, BIHER, Chennai, India.
Artificial intelligence (AI) is a subfield of computer science with the goal of creating intelligent machines (1) Machine learning is a branch of artificial intelligence. In machine learning a datasets are used for training diagnostic algorithms. This review comprehensively explains the applications of AI in the diagnosis in paediatric dentistry.
View Article and Find Full Text PDFCrit Care
January 2025
Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Rama VI Road, Rachatevi, Bangkok, 10400, Thailand.
Background: Continuous electroencephalography (cEEG) has been recommended in critically ill patients although its efficacy for improving patients' functional status remains unclear. This study aimed to compare the efficacy of Tele-cEEG with Tele-routine EEG (Tele-rEEG), in terms of seizure detection rate, mortality and functional outcomes.
Methods: This study is a 3-year randomized, controlled, parallel, multicenter trial, conducted in eight regional hospitals across Thailand.
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