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Metagenomics reveals the resistance patterns of electrochemically treated erythromycin fermentation residue.
Zhou, Jieya; Wu, Hao; Wang, Haiyan; Wu, Zongru; Shi, Lihu; Tian, Shulei; Hou, Li-An.
Afiliação
  • Zhou J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China. Electronic address: zhoujieyac
  • Wu H; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Wang H; Inner Mongolia Autonomous Region Solid Waste and Soil Ecological Environment Technology Center, Hohhot 010020, China.
  • Wu Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Shi L; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Tian S; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: tianslcraes@126.com.
  • Hou LA; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China; High Tech. Inst. Beijing, Beijing 100085, China. Electronic address: houla@cae.cn.
J Environ Sci (China) ; 148: 567-578, 2025 Feb.
Article em En | MEDLINE | ID: mdl-39095189
ABSTRACT
Erythromycin fermentation residue (EFR) represents a typical hazardous waste produced by the microbial pharmaceutical industry. Although electrolysis is promising for EFR disposal, its microbial threats remain unclear. Herein, metagenomics was coupled with the random forest technique to decipher the antibiotic resistance patterns of electrochemically treated EFR. Results showed that 95.75% of erythromycin could be removed in 2 hr. Electrolysis temporarily influenced EFR microbiota, where the relative abundances of Proteobacteria and Actinobacteria increased, while those of Fusobacteria, Firmicutes, and Bacteroidetes decreased. A total of 505 antibiotic resistance gene (ARG) subtypes encoding resistance to 21 antibiotic types and 150 mobile genetic elements (MGEs), mainly including plasmid (72) and transposase (52) were assembled in EFR. Significant linear regression models were identified among microbial richness, ARG subtypes, and MGE numbers (r2=0.50-0.81, p< 0.001). Physicochemical factors of EFR (Total nitrogen, total organic carbon, protein, and humus) regulated ARG and MGE assembly (%IncMSE value = 5.14-14.85). The core ARG, MGE, and microbe sets (93.08%-99.85%) successfully explained 89.71%-92.92% of total ARG and MGE abundances. Specifically, gene aph(3')-I, transposase tnpA, and Mycolicibacterium were the primary drivers of the resistance dissemination system. This study also proposes efficient resistance mitigation measures, and provides recommendations for future management of antibiotic fermentation residue.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eritromicina / Metagenômica / Fermentação Idioma: En Revista: J Environ Sci (China) Ano de publicação: 2025 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eritromicina / Metagenômica / Fermentação Idioma: En Revista: J Environ Sci (China) Ano de publicação: 2025 Tipo de documento: Article