AIMC Topic: Bacteria

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Recent strategies and methodological advances for microbial natural product research in the post-genomics era.

Archives of microbiology
Microorganisms remain a prolific source of bioactive compounds, yet discovery efforts are often hindered by traditional methods and the repeated isolation of known molecules. In the post-genomics era, advances in genome mining and multi-omics technol...

Machine Learning Models To Characterize the Association of the Gut Microbiota with Osteopenia and Osteoporosis: A Multi-Cohort Study.

Current microbiology
Emerging evidence suggests that gut microbiota dysbiosis is associated with bone metabolism disorders, including osteopenia (ON) and osteoporosis (OP). However, multi-cohort integrated and association analyses remain underexplored. We conducted a com...

Advances in microbial biotechnology for sustainable wastewater reclamation: recent trends and future prospects.

World journal of microbiology & biotechnology
The growing demand for freshwater, coupled with the increasing volume of industrial and municipal wastewater, has intensified the need for sustainable and eco-friendly reclamation strategies. Recent advancements in microbial biotechnology have emerge...

Functional archetypes in the human gut microbiome reveal metabolic diversity, stability, and influence disease-associated signatures.

Microbiome
BACKGROUND: Understanding the functional diversity of the gut microbiome is critical for elucidating its roles in human health and disease. While traditional approaches focus on taxonomic composition, functional configurations of the microbiome remai...

Flexible Porous ACH/Ag Surface-Enhanced Raman Scattering Platform for Sensitive Detection and Machine-Learning-Assisted Classification of Multiple Pathogenic Bacteria.

Analytical chemistry
Pathogenic bacteria pose serious threats to public health and environmental safety. Conventional colony counting, a standard method for bacterial detection, is time-consuming and unsuitable for rapid on-site detection. In this work, a flexible ACH/Ag...

Unveiling the landscape of prokaryotic global regulators through deep protein language models.

mSystems
Global regulators (GRs) are key transcription factors that orchestrate the expression of multiple genes, playing essential roles in stress responses, virulence, secondary metabolism, and antibiotic resistance-traits that make them powerful tools for ...

Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.

Archives of microbiology
Persistent organic pollutants (POPs) are harmful chemicals that resist degradation and remain in the environment for a long time. These pollutants originate from various sources, such as industrial, agricultural, and waste disposal. They contaminate ...

Stability of quorum sensing decision states in heterogeneous bacterial communities.

Physical biology
Bacteria utilize cell-cell signaling to coordinate gene expression in populations of cells. Bacterial signal exchange was originally interpreted as a mechanism bacteria use to regulate gene expression in response to changes in cell density, denoted a...

Rubisco is slow across the tree of life.

Proceedings of the National Academy of Sciences of the United States of America
Rubisco is the main gateway through which inorganic carbon enters the biosphere, catalyzing the vast majority of carbon fixation on Earth. This pivotal enzyme has long been observed to be kinetically constrained. Yet, this impression is based on kine...

Label-free phenotypic antimicrobial susceptibility testing on microfluidic platforms: a review of advances and translation.

Mikrochimica acta
The escalating global threat of antimicrobial resistance (AMR) necessitates a paradigm shift towards rapid and scalable diagnostic technologies. Conventional antimicrobial susceptibility testing (AST) methods, while reliable, are hindered by prolonge...