Insights into the fates of plasmids and antimicrobial resistance genes during swine manure treatment and related factors based on plasmidome and metagenome analyses

被引:2
作者
Shui, Junrui [1 ]
Tuo, Hongmei [1 ]
Liu, Jinxin [2 ]
Zhang, Xialan [3 ]
Feng, Jingyi [1 ]
Feng, Yuxuan [1 ]
Su, Wen [1 ]
Lin, Cong [1 ]
Zhang, Haoyu [1 ]
Tu, Zunfang [1 ]
Wang, Hongning [1 ]
Zhang, Anyun [1 ]
机构
[1] Sichuan Univ, Coll Life Sci, Anim Dis Prevent & Food Safety Key Lab Sichuan Pr, Key Lab Bioresource & Ecoenvironm,Minist Educ, 29 Wangjiang Rd, Chengdu 610010, Sichuan, Peoples R China
[2] Nanjing Agr Univ, Coll Anim Sci & Technol, Lab Gastrointestinal Microbiol, Jiangsu Key Lab Gastrointestinal Nutr & Anim Hlth, Nanjing 210095, Peoples R China
[3] Cent Agr Broadcasting & Televis Sch Banan, Chongqing 401320, Peoples R China
基金
中国国家自然科学基金;
关键词
Antimicrobial resistome; Metagenome; Plasmidome; Physicochemical properties; Swine manure; Manure treatment; ANTIBIOTIC-RESISTANCE; HEAVY-METALS; WASTE-WATER; MICROBIAL COMMUNITY; SEWAGE-SLUDGE; BACTERIA; COSELECTION; DIGESTION; ABUNDANCE; SPREAD;
D O I
10.1007/s11356-022-20574-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Swine manure treatment plants are important reservoirs of plasmid-harboring antibiotic resistance genes (ARGs) and physicochemical contaminants, but the changes in the abundances of plasmids and ARGs, and their interactions with the physicochemical properties of manure, are still unclear. Thus, in the present study, plasmidome and metagenome analyses were conducted for samples collected at different stages in the swine manure treatment process. The results indicated that anaerobic digestion and aerobic digestion were the most efficient stages for reducing the abundances of ARGs in swine manure. However, the plasmids associated with ARGs were not effectively removed in these stages. Through the whole treatment process, the IncL/M, IncQ1, IncHI2A, IncA/C, and IncN plasmid groups had strong correlations (r > 0.8, P < 0.01) with most ARG types, thereby indicating that these plasmids play important roles in the persistence of ARGs in this environment. Furthermore, the pH, total nitrogen, total phosphorus, and four heavy metals (Cu, Zn, As, and Fe) significantly affected the abundances of seven ARG subtypes (tetB(P), ant(6)-Ia, tet44, aph(3 '')-Ib, mefB, tet(L), and tet(39)). In particular, florfenicol had the most positive correlations with ARGs. Our results indicated that nutrients, heavy metals, and antibiotics all contributed to the presence and persistence of plasmid-harboring ARGs. This study provides insights into the fate of plasmids and ARGs, and related factors during the swine manure treatment process, thereby facilitating the development of a new treatment technique for removing ARGs and reducing the public health risk associated with livestock production.
引用
收藏
页码:69037 / 69047
页数:11
相关论文
共 46 条
  • [1] CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database
    Alcock, Brian P.
    Raphenya, Amogelang R.
    Lau, Tammy T. Y.
    Tsang, Kara K.
    Bouchard, Megane
    Edalatmand, Arman
    Huynh, William
    Nguyen, Anna-Lisa, V
    Cheng, Annie A.
    Liu, Sihan
    Min, Sally Y.
    Miroshnichenko, Anatoly
    Tran, Hiu-Ki
    Werfalli, Rafik E.
    Nasir, Jalees A.
    Oloni, Martins
    Speicher, David J.
    Florescu, Alexandra
    Singh, Bhavya
    Faltyn, Mateusz
    Hernandez-Koutoucheva, Anastasia
    Sharma, Arjun N.
    Bordeleau, Emily
    Pawlowski, Andrew C.
    Zubyk, Haley L.
    Dooley, Damion
    Griffiths, Emma
    Maguire, Finlay
    Winsor, Geoff L.
    Beiko, Robert G.
    Brinkman, Fiona S. L.
    Hsiao, William W. L.
    Domselaar, Gary, V
    McArthur, Andrew G.
    [J]. NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) : D517 - D525
  • [2] Plasmid detection and assembly in genomic and metagenomic data sets
    Antipov, Dmitry
    Raiko, Mikhail
    Lapidus, Alla
    Pevzner, Pavel A.
    [J]. GENOME RESEARCH, 2019, 29 (06) : 961 - 968
  • [3] Co-selection of antibiotic and metal resistance
    Baker-Austin, C
    Wright, MS
    Stepanauskas, R
    McArthur, JV
    [J]. TRENDS IN MICROBIOLOGY, 2006, 14 (04) : 176 - 182
  • [4] Analysis of ecologically relevant pharmaceuticals in wastewater and surface water using selective solid-phase extraction and UPLC-MS/MS
    Batt, Angela L.
    Kostich, Mitch S.
    Lazorchak, James M.
    [J]. ANALYTICAL CHEMISTRY, 2008, 80 (13) : 5021 - 5030
  • [5] Plasmid encoded antibiotic resistance: acquisition and transfer of antibiotic resistance genes in bacteria
    Bennett, P. M.
    [J]. BRITISH JOURNAL OF PHARMACOLOGY, 2008, 153 : S347 - S357
  • [6] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120
  • [7] In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing
    Carattoli, Alessandra
    Zankari, Ea
    Garcia-Fernandez, Aurora
    Larsen, Mette Voldby
    Lund, Ole
    Villa, Laura
    Aarestrup, Frank Moller
    Hasman, Henrik
    [J]. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2014, 58 (07) : 3895 - 3903
  • [8] The World Alliance Against Antibiotic Resistance: Consensus for a Declaration
    Carlet, Jean
    [J]. CLINICAL INFECTIOUS DISEASES, 2015, 60 (12) : 1837 - 1841
  • [9] Che Y, 2021, P NATL ACAD SCI USA, V118, DOI [10.1073/pnas.2008731118, 10.1073/pnas.2104557118]
  • [10] Mobile antibiotic resistome in wastewater treatment plants revealed by Nanopore metagenomic sequencing
    Che, You
    Xia, Yu
    Liu, Lei
    Li, An-Dong
    Yang, Yu
    Zhang, Tong
    [J]. MICROBIOME, 2019, 7 (1)