Article, 2023

Metagenomic analysis to determine the characteristics of antibiotic resistance genes in typical antibiotic-contaminated sediments

JOURNAL OF ENVIRONMENTAL SCIENCES, ISSN 1001-0742, Volume 128, Pages 12-25, 10.1016/j.jes.2022.08.014

Contributors

Yang, Han [1] [2] Xu, Mu [1] [2] Wang, Li Qing 0000-0003-0239-3162 [1] [2] Chen, H. 0000-0001-5736-2115 [3] Jeppesen, Erik 0000-0002-0542-369X [4] [5] [6] [7] Zhang, Wei 0000-0002-8626-6138 (Corresponding author) [1] [2]

Affiliations

  1. [1] Shanghai Ocean Univ, Ctr Res Environm Ecol & Fish Nutrient, Engn Res Ctr Environm DNA & Ecol Water Hlth Asses, Minist Agr, Shanghai 201306, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Shanghai Ocean Univ, Ctr Res Environm Ecol & Fish Nutrient, Engn Res Ctr Environm DNA & Ecol Water Hlth Asses, Minist Agr, Shanghai 201306, Peoples R China
    3. [NORA names: China; Asia, East];
  3. [3] Shanghai Natl Engn Res Ctr Urban Water Resources, Shanghai 200082, Peoples R China
    4. [NORA names: China; Asia, East];
  4. [4] Aarhus Univ, Dept Ecosci, CF Mollers Alle 3, DK-8000 Aarhus C, Denmark
    5. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Univ Chinese Acad Sci, Sino Danish Ctr Educ & Res SDC, Beijing 100190, Peoples R China
    6. [NORA names: China; Asia, East];

Abstract

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Keywords

Antibiotic resistance genes, Environmental drivers, Metagenomic analysis, Sediments, Shatian Lake

Data Provider: Clarivate

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