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Abundant Bacteria Shaped by Deterministic Processes Have a High Abundance of Potential Antibiotic Resistance Genes in a Plateau River Sediment

Overview
Journal Front Microbiol
Specialty Microbiology
Date 2022 Nov 21
PMID 36406442
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Abstract

Recent research on abundant and rare bacteria has expanded our understanding of bacterial community assembly. However, the relationships of abundant and rare bacteria with antibiotic resistance genes (ARGs) remain largely unclear. Here, we investigated the biogeographical patterns and assembly processes of the abundant and rare bacteria from river sediment at high altitudes (Lhasa River, China) and their potential association with the ARGs. The results showed that the abundant bacteria were dominated by (55.4%) and (13.9%), while the (33.6%) and (18.8%) were the main components of rare bacteria. Rare bacteria with a large taxonomic pool can provide function insurance in bacterial communities. Spatial distribution of persistent abundant and rare bacteria also exhibited striking differences. Strong selection of environmental heterogeneity may lead to deterministic processes, which were the main assembly processes of abundant bacteria. In contrast, the assembly processes of rare bacteria affected by latitude were dominated by stochastic processes. Abundant bacteria had the highest abundance of metabolic pathways of potential drug resistance in all predicted functional genes and a high abundance of potential ARGs. There was a strong potential connection between these ARGs and mobile genetic elements, which could increase the ecological risk of abundant taxa and human disease. These results provide insights into sedimental bacterial communities and ARGs in river ecosystems.

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PMID: 36985327 PMC: 10058834. DOI: 10.3390/microorganisms11030754.

References
1.
Jia S, Shi P, Hu Q, Li B, Zhang T, Zhang X . Bacterial Community Shift Drives Antibiotic Resistance Promotion during Drinking Water Chlorination. Environ Sci Technol. 2015; 49(20):12271-9. DOI: 10.1021/acs.est.5b03521. View

2.
Jiao S, Lu Y . Soil pH and temperature regulate assembly processes of abundant and rare bacterial communities in agricultural ecosystems. Environ Microbiol. 2019; 22(3):1052-1065. DOI: 10.1111/1462-2920.14815. View

3.
Zhang Q, Zhang Z, Lu T, Peijnenburg W, Gillings M, Yang X . Cyanobacterial blooms contribute to the diversity of antibiotic-resistance genes in aquatic ecosystems. Commun Biol. 2020; 3(1):737. PMC: 7718256. DOI: 10.1038/s42003-020-01468-1. View

4.
Wang Q, Garrity G, Tiedje J, Cole J . Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007; 73(16):5261-7. PMC: 1950982. DOI: 10.1128/AEM.00062-07. View

5.
Wang Y, Ye F, Wu S, Wu J, Yan J, Xu K . Biogeographic pattern of bacterioplanktonic community and potential function in the Yangtze River: Roles of abundant and rare taxa. Sci Total Environ. 2020; 747:141335. DOI: 10.1016/j.scitotenv.2020.141335. View