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Marine microorganisms form complex communities of interacting organisms that influence central ecosystem functions in the ocean such as primary production and nutrient cycling. Identifying the mechanisms controlling their assembly and activities is a major challenge in microbial ecology. Here, we integrated Tara Oceans meta-omics data to predict genome-scale community interactions within prokaryotic assemblages in the euphotic ocean. A global genome-resolved co-activity network revealed a significant number of inter-lineage associations across diverse phylogenetic distances. Identified co-active communities include species displaying smaller genomes but encoding a higher potential for quorum sensing, biofilm formation, and secondary metabolism. Community metabolic modelling reveals a higher potential for interaction within co-active communities and points towards conserved metabolic cross-feedings, in particular of specific amino acids and group B vitamins. Our integrated ecological and metabolic modelling approach suggests that genome streamlining and metabolic auxotrophies may act as joint mechanisms shaping bacterioplankton community assembly in the global ocean surface.
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http://dx.doi.org/10.1038/s41467-024-46374-w | DOI Listing |
mSystems
September 2025
Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Genome-scale metabolic models (GEMs) are widely used in systems biology to investigate metabolism and predict perturbation responses. Automatic GEM reconstruction tools generate GEMs with different properties and predictive capacities for the same organism. Since different models can excel at different tasks, combining them can increase metabolic network certainty and enhance model performance.
View Article and Find Full Text PDFmSystems
September 2025
Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada.
SC05-UT is an anaerobic, heterogenous microbial enrichment culture that reduces chloroform to dichloromethane through reductive dechlorination, which it further mineralizes to carbon dioxide. This dichloromethane mineralization yields electron equivalents that are used to reduce chloroform without the addition of exogenous electron donor. By studying this self-feeding chloroform-amended culture and a dichloromethane-amended enrichment subculture (named DCME), we previously found the genomic potential to perform both biodegradation steps in two distinct strains: SAD and Dehalobacter alkaniphilus DAD.
View Article and Find Full Text PDFFEMS Yeast Res
August 2025
State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
Genome-scale metabolic models (GEMs) can be used to simulate the metabolic network of an organism in a systematic and holistic way. Different yeast species, including Saccharomyces cerevisiae, have emerged as powerful cell factories for bioproduction. Recently, with the dedicated efforts from scientific community, significant progress has been made in the development of yeast GEMs.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
Laboratory of Microbiology, Wageningen University & Research, 6708 WE Wageningen, The Netherlands.
Microbial fermentation of syngas (CO, H, CO) using acetogens is a promising route for the revalorisation of one-carbon feedstocks. However, product diversification from syngas using pure cultures of these microorganisms remains a challenge. Here, we present a synthetic microbial community comprising the acetogen JM, the propionigenic bacterium and the chain elongator , which collectively produce odd- and even-chain carboxylic acids and higher alcohols from CO/CO.
View Article and Find Full Text PDFCell Rep
August 2025
Laboratory for Applied Microbiology and Biotechnology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium; U-MaMi Centre of Excellence, University of Antwerp, 2020 Antwerp, Belgium. Electronic address:
The human vagina is a unique microbiome, typically predominated by Lactobacillus species in healthy women. However, we currently lack an understanding of why lactobacilli predominate in this environment and how these bacteria interact, aspects that are crucial for developing microbiome-based therapeutics. In this study, we used cost-efficient synthetic communities (SynComs) to investigate the stability and dynamics of Lactobacillus-predominated vaginal communities from healthy women independent of host influence.
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