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The continental subsurface is suggested to contain a significant part of the earth's total biomass. However, due to the difficulty of sampling, the deep subsurface is still one of the least understood ecosystems. Therefore, microorganisms inhabiting this environment might profoundly influence the global nutrient and energy cycles. In this study, fixed RNA transcripts from two deep continental groundwaters from the Äspö Hard Rock Laboratory (a Baltic Sea-influenced water with a residence time of <20 years, defined as "modern marine," and an "old saline" groundwater with a residence time of thousands of years) were subjected to metatranscriptome sequencing. Although small subunit (SSU) rRNA gene and mRNA transcripts aligned to all three domains of life, supporting activity within these community subsets, the data also suggested that the groundwaters were dominated by bacteria. Many of the SSU rRNA transcripts grouped within newly described candidate phyla or could not be mapped to known branches on the tree of life, suggesting that a large portion of the active biota in the deep biosphere remains unexplored. Despite the extremely oligotrophic conditions, mRNA transcripts revealed a diverse range of metabolic strategies that were carried out by multiple taxa in the modern marine water that is fed by organic carbon from the surface. In contrast, the carbon dioxide- and hydrogen-fed old saline water with a residence time of thousands of years predominantly showed the potential to carry out translation. This suggested these cells were active, but waiting until an energy source episodically becomes available. A newly designed sampling apparatus was used to fix RNA under conditions in the deep continental biosphere and benchmarks a strategy for deep biosphere metatranscriptomic sequencing. This apparatus enabled the identification of active community members and the processes they carry out in this extremely oligotrophic environment. This work presents for the first time evidence of eukaryotic, archaeal, and bacterial activity in two deep subsurface crystalline rock groundwaters from the Äspö Hard Rock Laboratory with different depths and geochemical characteristics. The findings highlight differences between organic carbon-fed shallow communities and carbon dioxide- and hydrogen-fed old saline waters. In addition, the data reveal a large portion of uncharacterized microorganisms, as well as the important role of candidate phyla in the deep biosphere, but also the disparity in microbial diversity when using standard microbial 16S rRNA gene amplification versus the large unknown portion of the community identified with unbiased metatranscriptomes.
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http://dx.doi.org/10.1128/mBio.01792-18 | DOI Listing |
NPJ Biofilms Microbiomes
September 2025
Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, 24105 Kiel University, Kiel, Schleswig-Holstein, Germany.
Urinary tract infections (UTIs) are among the most common bacterial infections and are increasingly complicated by multidrug resistance (MDR). While Escherichia coli is frequently implicated, the contribution of broader microbial communities remains less understood. Here, we integrate metatranscriptomic sequencing with genome-scale metabolic modeling to characterize active metabolic functions of patient-specific urinary microbiomes during acute UTI.
View Article and Find Full Text PDFmSystems
September 2025
National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China.
Livestock-associated methicillin-resistant (LA-MRSA) displays distinct geographical distribution patterns, with ST398 predominating in Europe and ST9 being the dominant lineage in Asia, particularly China. However, the mechanisms underlying these differences remain poorly understood. In this study, we evaluated the cell adhesion capacity, anti-phagocytic properties, and porcine nasal colonization potential of ST9 and ST398 strains isolated from China and Germany.
View Article and Find Full Text PDFMar Life Sci Technol
August 2025
School of Ocean Sciences, China University of Geosciences (Beijing), Beijing, 100083 China.
Unlabelled: Marinisomatota (formerly recognized as Marinimicrobia, Marine Group A, and SAR406) are ubiquitous and abundant in marine environments, traditionally characterized as heterotrophic microorganisms. However, certain members of Marinisomatota have demonstrated the capacity to harness light for carbon dioxide fixation and the synthesis of organic compounds, thriving in the translucent zone or transitioning between the translucent and aphotic layers. The metabolic strategies driving the shift in trophic behaviors, and the factors influencing these transitions, remain largely unexplored.
View Article and Find Full Text PDFWater Res
August 2025
Westlake Laboratory of Life Sciences and Biomedicine, Center for Infectious Disease Research, School of Life Sciences, Westlake University, Hangzhou 310024, China; Zhejiang Provincial Key Laboratory of Intelligent Low-Carbon Biosynthesis, Research Center for Industries of the Future, School of Engin
Livestock wastewater is a critical reservoir of antibiotic resistance genes (ARGs) that poses significant public health risks. This study comprehensively evaluated the seasonal dynamics and associated risks of ARGs in a full-scale livestock wastewater treatment plant using an integrated metagenomic and metatranscriptomic approach. The results showed that untreated livestock wastewater harbored high abundance (4.
View Article and Find Full Text PDFThis study identified potential plastic-degrading microorganisms and enzymes in agricultural soils using a novel two-phase enrichment approach. By culturing agricultural soil in a Winogradsky column supplemented with polyethylene (PE) sheets, followed by culture in minimal medium with low-density polyethylene (LDPE) microplastic, we identified 192 genes specifically upregulated in LDPE conditions, including 10 genes encoding known plastizymes and 182 genes encoding putative plastic-degrading enzymes. Detailed enzyme classification revealed predominant roles for oxygenases (20%) and dehydrogenases (19%), with specific subclasses showing distinct distribution patterns.
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