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基于宏基因组分析对中国南方离子吸附型稀土矿土壤抗生素抗性组的生态洞察

Ecological insight into antibiotic resistome of ion-adsorption rare earth mining soils from south China by metagenomic analysis.

作者信息

Li Taijia, Yu Xinyang, Li Mi, Rong Lingling, Xiao Xiaoyu, Zou Xiaoming

机构信息

School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; School of Life Science, Jinggangshan University, Ji'an 343009, China.

School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China.

出版信息

Sci Total Environ. 2023 May 10;872:162265. doi: 10.1016/j.scitotenv.2023.162265. Epub 2023 Feb 17.

DOI:10.1016/j.scitotenv.2023.162265
PMID:36801324
Abstract

Antibiotic resistome has led to growing global threat to public health. Rare earth elements play important roles in modern society and mining activity for them has caused serious impact on soil ecosystems. However, antibiotic resistome in, especially, ion-adsorption rare earth-related soils is still poorly understood. In this work, soils were collected from ion-adsorption rare earth mining areas and adjacent regions of south China and metagenomic analysis was employed for profile, driving factors and ecological assembly of antibiotic resistome in the soils. Results show prevalence of antibiotic resistance genes conferring resistance to tetracycline/fluoroquinolone (adeF), peptide (bcrA), aminoglycoside (rpsL), tetracycline (tet(A)) and mupirocin (mupB) in ion-adsorption rare earth mining soils. Profile of antibiotic resistome is accompanied by its driving factors, i.e., physicochemical properties (La, Ce, Pr, Nd and Y of rare earth elements in 12.50-487.90 mg kg), taxonomy (Proteobacteria, Actinobacteria) and mobile genetic elements (MGEs, plasmid pYP1, Transposase_20). Variation partitioning analysis and partial least-squares-path modeling demonstrate that taxonomy is the most important individual contributor and pose most direct/indirect effect to antibiotic resistome. Further, null model analysis reveals stochastic processes as dominant ecological assembly of antibiotic resistome. This work advances our knowledge on antibiotic resistome with emphasis on ecological assembly in ion-adsorption rare earth-related soils for ARGs mitigation, mining management and mine restoration.

摘要

抗生素抗性组对全球公共卫生构成了日益严重的威胁。稀土元素在现代社会中发挥着重要作用,其开采活动对土壤生态系统造成了严重影响。然而,人们对尤其是离子吸附型稀土相关土壤中的抗生素抗性组仍知之甚少。在这项研究中,采集了中国南方离子吸附型稀土矿区及其周边地区的土壤,并采用宏基因组分析方法研究了土壤中抗生素抗性组的概况、驱动因素和生态组装过程。结果表明,离子吸附型稀土矿区土壤中存在对四环素/氟喹诺酮(adeF)、肽(bcrA)、氨基糖苷(rpsL)、四环素(tet(A))和莫匹罗星(mupB)具有抗性的抗生素抗性基因。抗生素抗性组的概况与其驱动因素相关,即物理化学性质(稀土元素La、Ce、Pr、Nd和Y的含量为12.50 - 487.90 mg/kg)、分类学(变形菌门、放线菌门)和可移动遗传元件(MGEs,质粒pYP1、转座酶_20)。变异分配分析和偏最小二乘路径建模表明,分类学是对抗生素抗性组最重要的个体贡献因素,对抗生素抗性组具有最直接/间接的影响。此外,空模型分析表明随机过程是抗生素抗性组生态组装的主导过程。这项工作增进了我们对抗生素抗性组的认识,重点是离子吸附型稀土相关土壤中的生态组装,有助于减轻抗生素抗性基因、进行采矿管理和矿山修复。

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