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Yan Y, Xu J, Huang W, Fan Y, Li Z, Tian M, Ma J, Lu X, Liang J. Metagenomic and Culturomics Analysis of Microbial Communities within Surface Sediments and the Prevalence of Antibiotic Resistance Genes in a Pristine River: The Zaqu River in the Lancang River Source Region, China. Microorganisms 2024; 12:911. [PMID: 38792738 PMCID: PMC11124135 DOI: 10.3390/microorganisms12050911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 05/26/2024] Open
Abstract
Microbial communities inhabiting sedimentary environments in river source regions serve as pivotal indicators of pristine river ecosystems. While the correlation between antibiotic resistome and pathogenicity with core gut bacteria in humans is well established, there exists a significant knowledge gap concerning the interaction of antibiotic resistance genes (ARGs) and human pathogenic bacteria (HPB) with specific microbes in river source basins, often referred to as "terrestrial gut". Understanding the microbial composition, including bacteria and resident genetic elements such as ARGs, HPB, Mobile Genetic Elements (MGEs), and Virulence Factors (VFs), within natural habitats against the backdrop of global change, is imperative. To address this gap, an enrichment-based culturomics complementary along with metagenomics was conducted in this study to characterize the microbial biobank and provide preliminary ecological insights into profiling the dissemination of ARGs in the Lancang River Source Basin. Based on our findings, in the main stream of the Lancang River Source Basin, 674 strains of bacteria, comprising 540 strains under anaerobic conditions and 124 under aerobic conditions, were successfully isolated. Among these, 98 species were identified as known species, while 4 were potential novel species. Of these 98 species, 30 were HPB relevant to human health. Additionally, bacA and bacitracin emerged as the most abundant ARGs and antibiotics in this river, respectively. Furthermore, the risk assessment of ARGs predominantly indicated the lowest risk rank (Rank Ⅳ) in terms of endangering human health. In summary, enrichment-based culturomics proved effective in isolating rare and unknown bacteria, particularly under anaerobic conditions. The emergence of ARGs showed limited correlation with MGEs, indicating minimal threats to human health within the main stream of the Lancang River Source Basin.
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Affiliation(s)
- Yi Yan
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (J.X.); (W.H.); (M.T.); (J.M.)
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Jialiang Xu
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (J.X.); (W.H.); (M.T.); (J.M.)
| | - Wenmin Huang
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (J.X.); (W.H.); (M.T.); (J.M.)
| | - Yufeng Fan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Y.F.); (Z.L.)
| | - Zhenpeng Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Y.F.); (Z.L.)
| | - Mingkai Tian
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (J.X.); (W.H.); (M.T.); (J.M.)
| | - Jinsheng Ma
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (J.X.); (W.H.); (M.T.); (J.M.)
| | - Xin Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Y.F.); (Z.L.)
| | - Jian Liang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
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