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Artificial Sweetener Enhances the Spread of Antibiotic Resistance Genes During Anaerobic Digestion

Yang, Guang, Cao, Jin-Man, Cui, Hui-Ling, Zhan, Xin-Min, Duan, Guilan, Zhu, Yong-Guan·2023·Environmental Science & Technology

Abstract

Artificial sweeteners have been frequently detected in the feedstocks of anaerobic digestion. As these sweeteners can lead to the shift of anaerobic microbiota in the gut similar to that caused by antibiotics, we hypothesize that they may have an antibiotic-like impact on antibiotic resistance genes (ARGs) in anaerobic digestion. However, current understanding on this topic is scarce. This investigation aimed to examine the potential impact of acesulfame, a typical artificial sweetener, on ARGs in anaerobic digestion by using metagenomics sequencing and qPCR. It was found that acesulfame increased the number of detected ARG classes and the abundance of ARGs during anaerobic digestion. The abundance of typical mobile genetic elements (MGEs) and the number of potential hosts of ARGs also increased under acesulfame exposure, suggesting the enhanced potential of horizontal gene transfer of ARGs, which was further confirmed by the correlation analysis between absolute abundances of the targeted ARGs and MGEs. The increased horizontal dissemination of ARGs may be associated with the SOS response induced by the increased ROS production, and the increased cellular membrane permeability. These findings indicate that artificial sweeteners may accelerate ARG spread through digestate disposal, thus corresponding strategies should be considered to prevent potential risks in practice.

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Research works printed but not linked: 51

  1. 10.1021/acs.est.1c03847 · DOI
  2. 10.1016/j.watres.2020.116127 · DOI
  3. 10.1021/es404988k · DOI
  4. 10.1016/j.watres.2020.116789 · DOI
  5. 10.1021/acs.est.9b02971 · DOI
  6. 10.1016/j.jhazmat.2020.123634 · DOI
  7. 10.1016/j.jece.2021.106423 · DOI
  8. 10.1016/j.biortech.2021.125998 · DOI
  9. 10.1016/j.chemosphere.2019.01.139 · DOI
  10. 10.1016/j.biortech.2017.03.134 · DOI
  11. 10.1016/j.scitotenv.2020.140759 · DOI
  12. 10.1016/j.biortech.2017.03.025 · DOI
  13. 10.1016/j.biortech.2020.123554 · DOI
  14. 10.1016/j.jclepro.2021.125909 · DOI
  15. 10.1007/s11356-019-05261-4 · DOI
  16. 10.1021/es1031272 · DOI
  17. 10.1038/s41396-021-00909-x · DOI
  18. 10.1021/es504769c · DOI
  19. 10.1021/acs.est.9b06853 · DOI
  20. 10.1016/j.jece.2015.09.031 · DOI
  21. 10.1371/journal.pone.0178426 · DOI
  22. 10.1371/journal.pone.0199080 · DOI
  23. 10.1038/s41396-021-01095-6 · DOI
  24. 10.1080/19490976.2022.2157698 · DOI
  25. 10.1016/j.jhazmat.2022.128922 · DOI
  26. 10.1016/j.chemosphere.2016.07.098 · DOI
  27. 10.1016/j.biortech.2018.02.055 · DOI
  28. 10.1038/s41396-021-01103-9 · DOI
  29. 10.1016/j.watres.2022.118426 · DOI
  30. 10.1016/j.jenvman.2022.115635 · DOI
  31. 10.1021/acs.est.8b07069 · DOI
  32. 10.1016/j.watres.2022.118653 · DOI
  33. 10.1016/j.ecoenv.2020.111095 · DOI
  34. 10.1016/j.jece.2020.104508 · DOI
  35. 10.1016/j.biortech.2016.10.023 · DOI
  36. 10.1016/j.jhazmat.2022.128840 · DOI
  37. 10.1016/j.biortech.2022.127683 · DOI
  38. 10.1080/01480540802390270 · DOI
  39. 10.1016/j.jhazmat.2021.126942 · DOI
  40. 10.1016/j.watres.2014.11.021 · DOI
  41. 10.1016/j.jhazmat.2021.126615 · DOI
  42. 10.1186/s13068-018-1106-z · DOI
  43. 10.1016/j.watres.2015.09.012 · DOI
  44. 10.1016/j.envres.2022.114032 · DOI
  45. Boone D. R., 2015, Bergey’s Manual of Systematics of Archaea and Bacteria, 1
  46. 10.1016/j.rser.2020.110212 · DOI
  47. 10.1016/j.jhazmat.2022.129535 · DOI
  48. 10.1016/j.envpol.2022.120032 · DOI
  49. 10.1016/j.scitotenv.2020.138248 · DOI
  50. 10.1016/j.ceja.2021.100100 · DOI
  51. 10.1021/acs.est.1c01250 · DOI

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Metadata

Authors
Yang, G., Cao, J.-M., Cui, H.-L., Zhan, X.-M., Duan, G., & Zhu, Y.-G.
Affiliations
  • State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
  • Civil Engineering, College of Engineering and Informatics, National University of Ireland, Galway H91 TK33, Ireland
Venue
Environmental Science & Technology
Published
2023-07-21
Volume
57
Issue
30
Pages
10919-10928
ISSN
  • 0013-936X
  • 1520-5851
Cited by
67
References
4
Language
en
Funders
  • China Postdoctoral Science Foundation (2022M713307)
  • National Natural Science Foundation of China (22193062, 41991332)

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