AIMC Topic: Microbial Consortia
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Responses of Microbial Community to Heterogeneous Dissolved Organic Nitrogen Constituents in the Hyporheic Zones of Treated Sewage-Dominated Rivers.
Microbial ecology
Jul 2, 2025
The hyporheic zone (HZ) of treated sewage-dominated rivers serves as a critical biogeochemical hotspot for dissolved organic nitrogen (DON) transformation, yet the mechanisms linking DON chemodiversity to microbial community dynamics remain poorly re...
Collaboration of bacterial consortia for biodegradation of high concentration phenol and potential application of machine learning.
Chemico-biological interactions
Jul 17, 2024
Mixed culture of microorganisms is an effective method to remove high concentration of phenol in wastewater. At present, it is still a challenge for microorganisms to remove high-concentration phenol from wastewater. In this study, a phenol-degrading...
Rational construction of synthetic consortia: Key considerations and model-based methods for guiding the development of a novel biosynthesis platform.
Biotechnology advances
Mar 24, 2024
The rapid development of synthetic biology has significantly improved the capabilities of mono-culture systems in converting different substrates into various value-added bio-chemicals through metabolic engineering. However, overexpression of biosynt...
Biodegradation of ciprofloxacin using machine learning tools: Kinetics and modelling.
Journal of hazardous materials
Mar 21, 2024
Recently, the rampant administration of antibiotics and their synthetic organic constitutes have exacerbated adverse effects on ecosystems, affecting the health of animals, plants, and humans by promoting the emergence of extreme multidrug-resistant ...
Using metabolic networks to predict cross-feeding and competition interactions between microorganisms.
Microbiology spectrum
Mar 20, 2024
Understanding the interactions between microorganisms and their impact on bacterial behavior at the community level is a key research topic in microbiology. Different methods, relying on experimental or mathematical approaches based on the diverse pr...
Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process.
Microbiome
Apr 17, 2019
BACKGROUND: Ubiquitous in natural and engineered ecosystems, microbial immigration is one of the mechanisms shaping community assemblage. However, quantifying immigration impact remains challenging especially at individual population level. The activ...
The latitudinal gradient in rock-inhabiting bacterial community compositions in Victoria Land, Antarctica.
The Science of the total environment
Dec 6, 2018
The harsh conditions in Victoria Land, Antarctica have formed a simple ecosystem dominated by microbes that use rocks as shelters to avoid environmental stressors. The area is composed of basement rocks that illustrate the history of complex deformat...
Enrichment of thermophilic and mesophilic microbial consortia for efficient degradation of corn stalk.
Journal of environmental sciences (China)
Jul 29, 2018
Six different environmental samples were applied to enrich microbial consortia for efficient degradation of corn stalk, under the thermophilic and mesophilic conditions. The consortium obtained from anaerobic digested sludge under thermophilic condit...
Effects of salinity on bacterial communities, Maillard reactions, isoflavone composition, antioxidation and antiproliferation in Korean fermented soybean paste (doenjang).
Food chemistry
Oct 26, 2017
The purpose of this study was to investigate bacterial communities and health-benefit-related parameters in doenjang prepared with various brine concentrations (8, 12, 16, and 20%). Phenolic, flavonoid, melanoidin and isoflavone contents, antioxidati...
A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information.
PeerJ
Jan 1, 2025
Understanding the behavior of microbial consortia is crucial for predicting metabolite production by microorganisms. Genome-scale network reconstructions enable the computation of metabolic interactions and specific associations within microbial cons...
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