Metagenomic approach reveals the role of bioagents in the environmental dissemination risk of rhizosphere soil antibiotic resistance genes pollution

被引:0
|
作者
Zhi, Qiqi [1 ,2 ]
Zheng, Bufan [3 ]
Teng, Kai [4 ]
Xiao, Yansong [5 ]
Zhou, Xiangping [6 ]
Tang, Qianjun [7 ]
Li, Juan [3 ]
Yin, Huaqun [1 ,2 ]
Meng, Delong [1 ,2 ]
Liu, Tianbo [8 ]
机构
[1] Cent South Univ, Sch Minerals Proc & Bioengn, Changsha 410083, Peoples R China
[2] Minist Educ, Key Lab Biomet, Changsha 410083, Peoples R China
[3] Hunan Agr Univ, Coll Agron, Changsha 410127, Peoples R China
[4] Hunan Prov Xiangxi Autonomous Prefecture Tobacco C, Jishou 416000, Peoples R China
[5] Chenzhou Tobacco Co Hunan Prov, Chenzhou 423000, Peoples R China
[6] Yongzhou Tobacco Co Hunan Prov, Yongzhou 425000, Peoples R China
[7] Hunan Agr Univ, Coll Plant Protect, Changsha 410127, Peoples R China
[8] Tobacco Res Inst Hunan Prov, Changsha 410004, Peoples R China
关键词
Antibiotic resistance genes (ARGs); Integrative and conjugative elements (ICEs); Rhizosphere soil; Bioagents; Environmental pollution; Metagenomics; RESISTOME; PGPR;
D O I
10.1016/j.envres.2024.120090
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Antibiotic resistance genes (ARGs) have been identified as emerging contaminants, raising concerns around the world. As environmentally friendly bioagents (BA), plant growth-promoting rhizobacteria (PGPR) have been used in agricultural systems. The introduction of BA will lead to the turnover of the microbial communities structure. Nevertheless, it is still unclear how the colonization of the invaded microorganisms could affects the rhizosphere resistome. Consequently, 190 ARGs and 25 integrative and conjugative elements (ICEs) were annotated using the metagenomic approach in 18 samples from the Solanaceae crop rhizosphere soil under BA and conventional treatment (CK) groups. Our study found that, after 90 days of treatment, ARG abundance was lower in the CK group than in the BA group. The results showed that aminoglycoside antibiotic resistance (OprZ), phenicol antibiotic resistance (OprN), aminoglycoside antibiotic resistance (ceoA/B), aminocoumarin antibiotic resistance (mdtB) and phenicol antibiotic resistance (MexW) syntenic with ICEs. Moreover, in 11 sequences, OprN (phenicol antibiotic resistance) was observed to have synteny with ICEPaeLESB58-1, indicating that the ICEs could contribute to the spread of ARGs. Additionally, the binning result showed that the potential bacterial hosts of the ARGs were beneficial bacteria which could promote the nutrition cycle, such as Haliangium, Nitrospira, Sideroxydans, Burkholderia, etc, suggesting that bacterial hosts have a great influence on ARG profiles. According to the findings, considering the dissemination of ARGs, BA should be applied with caution, especially the use of beneficial bacteria in BA. In a nutshell, this study offers valuable insights into ARGs pollution control from the perspective of the development and application of BA, to make effective strategies for blocking pollution risk migration in the ecological environment.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Dissemination of antibiotic resistance genes in soil-crop systems: Mechanisms and influencing factors
    Zeng, Yuanye
    Yang, Fengxia
    Zhang, Zulin
    Guo, Haixin
    Ding, Yongzhen
    CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH, 2025, 43
  • [32] Antimicrobials and Antibiotic Resistance Genes in Water Bodies: Pollution, Risk, and Control
    Singh, Ashish Kumar
    Kaur, Rajinder
    Verma, Shashikala
    Singh, Samer
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [33] DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
    Gustavo Arango-Argoty
    Emily Garner
    Amy Pruden
    Lenwood S. Heath
    Peter Vikesland
    Liqing Zhang
    Microbiome, 6
  • [34] Ranking the risk of antibiotic resistance genes by metagenomic and multifactorial analysis in hospital wastewater systems
    Shuai, Xinyi
    Zhou, Zhenchao
    Zhu, Lin
    Achi, Chioma
    Lin, Zejun
    Liu, Zhe
    Yu, Xi
    Zhou, Jinyu
    Lin, Yanhan
    Chen, Hong
    JOURNAL OF HAZARDOUS MATERIALS, 2024, 468
  • [35] DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
    Arango-Argoty, Gustavo
    Garner, Emily
    Prudent, Amy
    Heath, Lenwood S.
    Vikesland, Peter
    Zhang, Liqing
    MICROBIOME, 2018, 6
  • [36] Soil Amoebae Are Unexpected Hotspots of Environmental Antibiotics and Antibiotic Resistance Genes
    Shi, Yijing
    Liang, Minxi
    Zeng, Jiaxiong
    Wang, Zihe
    Zhang, Lin
    He, Zhili
    Li, Mengyuan
    Shu, Longfei
    Ying, Guangguo
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2024, 58 (49) : 21475 - 21488
  • [37] Contribution of environmental factors on the distribution of antibiotic resistance genes in agricultural soil
    Yang, Fan
    Zhang, Fengli
    Li, Hongping
    Wu, Huiying
    Zhao, Hongcheng
    Cheng, Xuemin
    Ba, Yue
    Huang, Hui
    Chen, Shuaiyin
    Zhu, Jingyuan
    EUROPEAN JOURNAL OF SOIL BIOLOGY, 2021, 102
  • [38] Metagenomic analysis reveals the microbiome and antibiotic resistance genes in indigenous Chinese yellow-feathered chickens
    Xu, Yibin
    Huang, Yulin
    Guo, Lijin
    Zhang, Siyu
    Wu, Ruiquan
    Fang, Xiang
    Xu, Haiping
    Nie, Qinghua
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [39] Metagenomic analysis reveals wastewater treatment plants as hotspots of antibiotic resistance genes and mobile genetic elements
    Guo, Jianhua
    Li, Jie
    Chen, Hui
    Bond, Philip L.
    Yuan, Zhiguo
    WATER RESEARCH, 2017, 123 : 468 - 478
  • [40] Metagenomic Assembly Reveals Hosts of Antibiotic Resistance Genes and the Shared Resistome in Pig, Chicken, and Human Feces
    Ma, Liping
    Xia, Yu
    Li, Bing
    Yang, Ying
    Li, Li-Guan
    Tiedje, James M.
    Zhang, Tong
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2016, 50 (01) : 420 - 427