Dysbiosis and acclimatization are two starkly opposing outcomes of altered holobiont associations in response to environmental pollution. This study assesses whether shifts in microbial taxonomic composition and functional profiles of the cosmopolitan sponge indicate dysbiotic or acclimatized responses to water pollution. To do so, sponge and water samples were collected in a semi-enclosed environment (San Antonio Bay, Patagonia, Argentina) from variably polluted sites (., eutrophication, heavy metal contamination). We found significant differences in the microbiome of with respect to the pollution history of the sites. Several indicators suggested that acclimatization, rather than dysbiosis, explained the microbiome response to higher pollution: 1) the distinction of the sponge microbiome from the water microbiome; 2) low similarity between the sponge and water microbiomes at the most polluted site; 3) the change in microbiome composition between sponges from the different sites; 4) a high similarity in the microbiome among sponge individuals within sites; 5) a similar ratio of common sponge microbes to opportunistic microbes between sponges at the most and least polluted sites; and 6) a distinctive functional profile of the sponge microbiome at the most polluted site. This profile indicated a more expansive metabolic repertoire, including the degradation of pollutants and the biosynthesis of secondary metabolites, suggesting a relevant role of these microbial communities in the adaptation of the holobiont to organic pollution. Our results shed light on the rearrangement of the microbiome that could allow it to successfully colonize sites with high anthropogenic impact while resisting dysbiosis.
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http://dx.doi.org/10.7717/peerj.17707 | DOI Listing |
Sci Rep
December 2024
Theoretical Ecology and Engineering Ecology Research Group, School of Life Sciences, Shandong University, Qingdao, Shandong, China.
Temperature and nutrients are known as crucial drivers for the variations of bacterial community structure and functions in oceans and lakes. However, their significance and mechanisms in influencing the bacterial community structure and function in mountain stream remain unclear. In this study, we investigated the spatiotemporal patterns of the bacterial communities and the main environmental factors in the Taizicheng River, a high-latitude mountainous stream, to reveal the main driving factors for sedimental bacterial communities.
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December 2024
Cancer Center, Department of Pulmonary and Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Hospital-acquired infection (HAI) and antimicrobial resistance (AMR) represent major challenges in healthcare system. Despite numerous studies have assessed environmental and patient samples, very few studies have explored the microbiome and resistome profiles of medical staff including nursing workers. This cross-sectional study was performed in a tertiary hospital in China and involved 25 nurses (NSs), 25 nursing workers (NWs), and 55 non-medical control (NC).
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December 2024
School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
Outdoor microcosms, metabarcoding with next-generation sequencing of the 16S rRNA bacterial gene, total body score (TBS) and physicochemical analyses were used to monitor Mus musculus decomposition aboveground (A) and in the subsurface (S), and compared to soil-only controls (C). As determined by MaAsLin2 analysis, significant shifts in bacterial communities at 30 cm depths within the A, S and C treatments distinguished control from experimental soils, and between aboveground and subsurface deposition, demonstrating the potential for gravesoil discrimination during the first 90 days. For example, Dokdonella (p = 0.
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December 2024
Department of Computer Sciences and Industries, Universidad Católica del Maule, Talca, Chile.
Antimicrobial resistance (AMR) poses a significant global health challenge, necessitating advanced predictive models to support clinical decision-making. In this study, we explore multi-label classification as a novel approach to predict antibiotic resistance across four clinically relevant bacteria: E. coli, S.
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December 2024
Lab Services and Infection Control; Chief, Education and Research, Artemis Hospitals, Sector-51, Gurugram, Haryana, India.
Klebsiella pneumoniae, a pathogen of concern worldwide can be classified as classical K. pneumoniae (cKp) and Hypervirulent K. pneumoniae (HvKp).
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