Host-associated microbial dynamics are influenced by dietary and immune factors, but how exogenous microbial exposure shapes host-microbe dynamics remains poorly characterized. To investigate this phenomenon, we characterized the skin, rectum, and respiratory tract-associated microbiota in four aquarium-housed dolphins daily over a period of 6 weeks, including administration of a probiotic during weeks 4 to 6. The environmental bacterial sources were also characterized, including the animals' human handlers, the aquarium air and water, and the dolphins' food supply. Continuous microbial exposure occurred between all sites, yet each environment maintained a characteristic microbiota, suggesting that the majority of exposure events do not result in colonization. Small changes in water physicochemistry had a significant but weak correlation with change in dolphin-associated bacterial richness but had no influence on phylogenetic diversity. Food and air microbiota were the richest and had the largest conditional influence on other microbiota in the absence of probiotics, but during probiotic administration, food alone had the largest influence on the stability of the dolphin microbiota. Our results suggest that respiratory tract and gastrointestinal epithelium interactions with air- and food-associated microbes had the biggest influence on host-microbiota dynamics, while other interactions, such as skin transmission, played only a minor role. Finally, direct oral stimulation with a foreign exogenous microbial source can have a profound effect on microbial stability. These results provide valuable insights into the ecological influence of exogenous microbial exposure, as well as laying the foundation for improving aquarium management practices. By comparing data for dolphins from aquaria that use natural versus artificial seawater, we demonstrate the potential influence of aquarium water disinfection procedures on dolphin microbial dynamics.
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http://dx.doi.org/10.1128/mSystems.00052-18 | DOI Listing |
Best Pract Res Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, Peking University People's Hospital, No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China; Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), No. 11, Xizhimen South Street, Xicheng District, Beijing, 100044, China; Division of Rheumatology, Department of Medicine, University of Colorado, No. 11, Xizhimen South Street, Xicheng District, Aurora, CO, 80045, USA. Electronic address:
Rheumatoid arthritis (RA) is a complex autoimmune disease with growing evidence implicating the microbiota as a critical contributor to its pathogenesis. This review explores the multifaceted roles of microbial dysbiosis in RA, emphasizing its impact on immune cell modulation, autoantibody production, gut barrier integrity, and joint inflammation. Animal models reveal how genetic predisposition and environmental factors interact with specific microbial taxa to influence disease susceptibility.
View Article and Find Full Text PDFCell
January 2025
Program in Bioinformatics, Boston University, Boston, MA 02215, USA; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Center for Network Systems Biology, Boston University, Boston, MA 02218, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA; Department of Chemical Physiology and Biochemistry, Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA. Electronic address:
Knowledge of protein-metabolite interactions can enhance mechanistic understanding and chemical probing of biochemical processes, but the discovery of endogenous ligands remains challenging. Here, we combined rapid affinity purification with precision mass spectrometry and high-resolution molecular docking to precisely map the physical associations of 296 chemically diverse small-molecule metabolite ligands with 69 distinct essential enzymes and 45 transcription factors in the gram-negative bacterium Escherichia coli. We then conducted systematic metabolic pathway integration, pan-microbial evolutionary projections, and independent in-depth biophysical characterization experiments to define the functional significance of ligand interfaces.
View Article and Find Full Text PDFInt J Food Microbiol
January 2025
Departamento de Ingeniería de Alimentos y del Equipamiento Agrícola, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena (ETSIA), Paseo Alfonso XIII, 48, 30203 Cartagena, Spain.
The Baranyi and Geeraerd models are two of the most reliable models for the description of, respectively, microbial growth and inactivation. They are defined as a system of differential equations, whose algebraic solution can describe the microbial response during isothermal conditions, especially when combined with suitable secondary models. However, there are still large uncertainties regarding the best functions to use as secondary models for the lag phase duration (λ) and the shoulder length (S).
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong. Electronic address:
The oceanic dissolved organic matter (DOM) reservoir is one of Earth's largest carbon pools, yet the factors contributing to its recalcitrance and persistence remain poorly understood. Here, we employed ultra-high resolution mass spectrometry (UHRMS) to examine the molecular dynamics of DOM from terrestrial, marine and mixed sources during bio-incubation over weekly, monthly, and one year time spans. Using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), we classified DOM into three distinct categories (Consumed, Resistant and Product) based on their presence or absence at the start and end of the incubation.
View Article and Find Full Text PDFSci China Life Sci
January 2025
CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
Many alpine ecosystems are undergoing vegetation degradation because of global changes, which are affecting ecosystem functioning and biodiversity. The ecological consequences of alpine pioneer community degradation have been less studied than glacial retreat or meadow degradation in alpine ecosystems. We document the comprehensive responses of microbial community characteristics to degradation processes using field-based sampling, conduct soil microcosm experiments to simulate the effects of global change on microorganisms, and explore their relationships to ecosystem functioning across stages of alpine pioneer community degradation.
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