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The design and study of active microbial consortia able to degrade plastics represent an exciting area of research toward the development of bio-based alternatives to efficiently transform plastic waste. This forum article discusses concepts and mechanisms to inform emerging strategies for engineering microbiomes to transform plastics under controlled settings.
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http://dx.doi.org/10.1016/j.tibtech.2023.09.011 | DOI Listing |
Mol Ecol
September 2025
State Key Laboratory of Soil and Water Conservation and Desertification Control, College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Shaanxi, People's Republic of China.
Increasing evidence indicates that the loss of soil microbial α-diversity triggered by environmental stress negatively impacts microbial functions; however, the effects of microbial α-diversity on community functions under environmental stress are poorly understood. Here, we investigated the changes in bacterial and fungal α- diversity along gradients of five natural stressors (temperature, precipitation, plant diversity, soil organic C and pH) across 45 grasslands in China and evaluated their connection with microbial functional traits. By quantifying the five environmental stresses into an integrated stress index, we found that the bacterial and fungal α-diversity declined under high environmental stress across three soil layers (0-20 cm, 20-40 cm and 40-60 cm).
View Article and Find Full Text PDFFront Cell Infect Microbiol
September 2025
Beijing Key Laboratory of Traditional Chinese Veterinary Medicine, Beijing University of Agriculture, Beijing, China.
The gut microbiota of piglets is crucial for intestinal health and immune function, yet highly susceptible to various factors. Multiple factors such as Genetic and Sow Factors, feeding environment, diet and pathogen combine to shape the gut microbiota of piglets. PEDV, a highly pathogenic and transmissible virus, disrupts the gut microbiota by damaging the intestinal epithelial barrier, leading to microbial imbalance, weakened gut immunity, and severe diarrhea.
View Article and Find Full Text PDFFood Funct
September 2025
Department of Animal Nutrition, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Sheep milk has gained increasing attention for its compositional similarity to human milk and its abundance of bioactive compounds with nutritional and therapeutic potential. It is rich in proteins, essential fatty acids, vitamins, minerals, immunoglobulins, and hormones, as well as peptides and oligosaccharides with antiviral, antibacterial, anti-inflammatory, and immune-modulatory effects. Despite these benefits, the literature remains fragmented, with limited integration of data on the mechanisms by which these components influence health outcomes, and few comprehensive comparisons with other mammalian milks.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
School of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia.
Ciprofloxacin (CIP), a widely used fluoroquinolone antibiotic, has become a significant contaminant in aquatic environments due to its extensive use and incomplete metabolism. This review comprehensively analyses CIP pollution, including its sources, environmental and health impacts, and removal strategies. Chemical methods such as advanced oxidation processes and physical techniques like adsorption are evaluated for their efficiency in CIP removal.
View Article and Find Full Text PDFNat Microbiol
September 2025
Division of Computational Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Although dynamical systems models are a powerful tool for analysing microbial ecosystems, challenges in learning these models from complex microbiome datasets and interpreting their outputs limit use. We introduce the Microbial Dynamical Systems Inference Engine 2 (MDSINE2), a Bayesian method that learns compact and interpretable ecosystems-scale dynamical systems models from microbiome timeseries data. Microbial dynamics are modelled as stochastic processes driven by interaction modules, or groups of microbes with similar interaction structure and responses to perturbations, and additionally, noise characteristics of data are modelled.
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