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Ding F, Li Y, He T, Wang Y, Li Y, Huang Y, Yin G, Yang J, Wu S, Liu Y, Liu M. Land use and spatial contiguity are key driven factors of antibiotic multimedia patterns in the megacity river network. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174727. [PMID: 39002577 DOI: 10.1016/j.scitotenv.2024.174727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/15/2024]
Abstract
The widespread spread of antibiotics in the environment poses a growing threat to human health. This study investigated the distribution and fate of antibiotics concerning land use characteristics, hydrological conditions, and spatial contiguity within a megacity river network. Temporally, the average concentrations of twenty antibiotics in water (354 ng/L), suspended particulate matter (SPM) (46 ng/L), and sediment (151 ng/g) during dry season were notably higher than that in the corresponding environment media (water: 127 ng/L, SPM: 2 ng/L, and sediment: 49 ng/g) during the wet season. Moreover, the inter-annual variation of antibiotics in water showed a decreasing trend. Spatially, substantial antibiotic contamination was observed in a human-intensive watershed, particularly in the upstream and central city sections. The macrolides in water were most affected by land use types and hydrological processes. Antibiotic contamination in water exhibited a stronger spatial autocorrelation compared to other media. Nevertheless, the interconnectedness of antibiotic contamination in sediments during the wet season warrants attention, and relevant authorities should enhance environmental monitoring in watersheds with pollution hotspots. Certain antibiotics, such as sulfamethoxazole, enrofloxacin, and florfenicol, were transported via urban rivers to the ocean, potentially posing environmental risks to coastal water quality. Local sources accounted for the predominant portion (>50 %) of most antibiotics in various media. The correlation distances of antibiotics in waters during the wet season could screen ecological risk prioritization in aquatic environments.
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Affiliation(s)
- Fangfang Ding
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Ye Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China.
| | - Tianhao He
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Yuyi Wang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Yushan Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Ye Huang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Guoyu Yin
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Jing Yang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Shixue Wu
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China
| | - Yuyan Liu
- College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, Hainan, China
| | - Min Liu
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, 500 Dongchuan Road, Minhang District, Shanghai 200241, China.
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Jorquera MA, Acuña JJ, Huerta N, Bai J, Zhang L, Xiao R, Sadowsky MJ. Multiple antibiotic resistance and herbicide catabolic profiles of bacteria isolated from Lake Villarrica surface sediments (Chile). ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 358:124538. [PMID: 39002747 DOI: 10.1016/j.envpol.2024.124538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 07/15/2024]
Abstract
Antibiotics and herbicides are contaminants of emerging concern in aquatic environments. Lake Villarrica is a relevant freshwater body in Chile and was recently designated a 'saturated nutrient zone'. Here, we investigated the occurrence of multiple antibiotic resistance (MAR) and herbicide catabolic profiles among bacteria present in the surface sediments of Lake Villarrica. The occurrence of antibiotic-resistant genes (ARGs; blaTEM, catA and tetM) and herbicide-catabolic genes (HCGs; phnJ and atzA) was investigated by qPCR. Subsequently, the presence of culturable bacteria with multiple resistance to amoxicillin (AMX), chloramphenicol (CHL) and oxytetracycline (OXT) was studied. Forty-six culturable MAR (AMX + CHL + OXT) strains were isolated and characterized with respect to their resistance to 11 antibiotics by using a disc diffusion assay and testing their ability to use herbicides as a nutrient source. qPCR analyses revealed that ARGs and HCGs were present in all sediment samples (101 to 103 gene copies g-1), with significant (P ≤ 0.05) higher values in sites near Villarrica city and cattle pastures. The plate method was used to recover MAR isolates from sediment (103-106 CFU g-1), and most of the 46 isolates also showed resistance to oxacillin (100%), cefotaxime (83%), erythromycin (96%) and vancomycin (93%). Additionally, 54 and 57% of the MAR isolates were able to grow on agar supplemented (50 mg L-1) with atrazine and glyphosate as nutrient sources, respectively. Most of the MAR isolates were taxonomically close to Pseudomonas (76.1%) and Pantoea (17.4%), particularly those isolated from urbanized sites (Pucón city). This study shows the presence of MAR bacteria with herbicide catabolic activity in sediments, which is valuable for conservation strategies and risk assessments of Lake Villarrica. However, major integrative studies on sediments as reservoirs or on the fate of MAR strains and traces of antibiotics and herbicides as a result of anthropic pressure are still needed.
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Affiliation(s)
- Milko A Jorquera
- Laboratorio de Ecología Microbiana Aplicada (EMALAB), Departamento de Ciencias Químicas y Recursos Naturales, Universidad de La Frontera, Temuco, Chile; Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Ave. Francisco Salazar, 01145, Temuco, Chile.
| | - Jacquelinne J Acuña
- Laboratorio de Ecología Microbiana Aplicada (EMALAB), Departamento de Ciencias Químicas y Recursos Naturales, Universidad de La Frontera, Temuco, Chile; Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Ave. Francisco Salazar, 01145, Temuco, Chile; Millennium Institute Center for Genome Regulation (MI-CGR), Valenzuela Puelma 10207, La Reina, 7800003, Chile
| | - Nicole Huerta
- Laboratorio de Ecología Microbiana Aplicada (EMALAB), Departamento de Ciencias Químicas y Recursos Naturales, Universidad de La Frontera, Temuco, Chile
| | - Junhong Bai
- School of Environment, Beijing Normal University, 19, Xinjiekouwaida Street, Haidian District, Beijing, 100875, China
| | - Ling Zhang
- School of Environment, Beijing Normal University, 19, Xinjiekouwaida Street, Haidian District, Beijing, 100875, China
| | - Rong Xiao
- College of Environment & Safety Engineering, FuZhou University, Fuzhou, China
| | - Michael J Sadowsky
- College of Agriculture, Food, and Environmental Sciences, University of Minnesota, St. Paul, Minnesota, 55108, USA
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Zhou J, Kang J, Lin C, Xu Q, Yang W, Fan K, Li J. Antibiotics in Surface Sediments from the Anning River in Sichuan Province, China: Occurrence, Distribution, and Risk Assessment. TOXICS 2024; 12:411. [PMID: 38922091 PMCID: PMC11209513 DOI: 10.3390/toxics12060411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/27/2024]
Abstract
The occurrence, distribution, and ecological risk assessment of 36 antibiotics from five groups, including macrolides (MLs), fluoroquinolones (FQs), tetracyclines (TCs), amphenicols (APs), and sulfonamides (SAs), were investigated for the first time in the Anning River, Sichuan Province, China. The results show that antibiotics were widely present in the sediments of the Anning River, with a total of 22 antibiotics detected. FQs were among the most abundant antibiotics, followed by TCs, MLs, APs, and SAs. The total concentrations of antibiotics in surface sediments varied from 0.05 to 53.35 ng/g, with an average of 8.09 ng/g. Among these groups, MLs, FQs, and TCs emerged as the predominant classes of antibiotics. The midstream sediments showed the highest residual levels of antibiotics, with lower levels observed in the downstream and upstream sediments. Anthropogenic activities, such as human clinical practices and animal breeding, might be sources of antibiotics released into the river. An ecological risk assessment revealed that trimethoprim from the SA group exhibited high risks, and MLs showed medium risks in the Anning River, whereas most antibiotics presented minimal to low risks. This study provides valuable information on antibiotic pollution in the upstream region of the Yangtze River, and future management measures are needed for the Anning River.
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Affiliation(s)
- Junlie Zhou
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Jianglin Kang
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Chunyan Lin
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Qi Xu
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Wanrong Yang
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Ke Fan
- School of Environment & Resource, Xichang University, Xichang 615000, China
| | - Jinrong Li
- School of Sciences, Xichang University, Xichang 615000, China
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Mu Y, Tang B, Cheng X, Fu Y, Huang W, Wang J, Ming D, Xing L, Zhang J. Source apportionment and predictable driving factors contribute to antibiotics profiles in Changshou Lake of the Three Gorges Reservoir area, China. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133522. [PMID: 38244452 DOI: 10.1016/j.jhazmat.2024.133522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/01/2024] [Accepted: 01/11/2024] [Indexed: 01/22/2024]
Abstract
Lakes, crucial antibiotic reservoirs, lack thorough exploration of quantitative relationships between antibiotics and influencing factors. Here, we conducted a comprehensive year-long investigation in Changshou Lake within the Three Gorges Reservoir area, China. The concentrations of 21 antibiotics spanned 35.6-200 ng/L, 50.3-348 ng/L and 0.57-57.9 ng/g in surface water, overlying water and sediment, respectively. Compared with abundant water period, surface water and overlying water displayed significantly high antibiotic concentrations in flat and low water periods, while sediment remained unchanged. Moreover, tetracyclines, fluoroquinolones and erythromycin posed notable risks to algae. Six primary sources were identified using positive matrix factorization model, with aquaculture contributing 21.2%, 22.7% and 25.4% in surface water, overlying water and sediment, respectively. The crucial predictors were screened through machine learning, redundancy analysis and Mantel test. Our findings emphasized the pivotal roles of water quality parameters, including water temperature (WT), pH, dissolved oxygen, electrical conductivity, inorganic anions (NO3⁻, Cl⁻ and F⁻) and metal cations (Ca, Mg, Fe, K and Cr), with WT influencing greatest. Total nitrogen (TN), cation exchange capacity, K, Al and Cd significantly impacted sediment antibiotics, with TN having the most pronounced effect. This study can promise valuable insights for environmental planning and policies addressing antibiotic pollution.
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Affiliation(s)
- Yue Mu
- Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China
| | - Bobin Tang
- Technical Centre, Chongqing Customs, Chongqing 400020, PR China
| | - Xian Cheng
- Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China
| | - Yuanhang Fu
- Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China
| | - Weibin Huang
- Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China
| | - Jing Wang
- Technical Centre, Chongqing Customs, Chongqing 400020, PR China
| | - Dewang Ming
- Technical Centre, Chongqing Customs, Chongqing 400020, PR China
| | - Liangshu Xing
- Eco-Environmental Monitoring Station of Changshou District, Chongqing 401220, PR China
| | - Jinzhong Zhang
- Chongqing Key Laboratory of Agricultural Resources and Environment, College of Resources and Environment, Southwest University, Chongqing 400715, PR China.
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Zhang L, Bai J, Zhai Y, Zhang K, Wang Y, Tang R, Xiao R, Jorquera MA. Multimedia distribution, partitioning, sources, comprehensive toxicity risk and co-occurrence network characteristics of trace elements in a typical Chinese shallow lake with high antibiotic risk. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133436. [PMID: 38190795 DOI: 10.1016/j.jhazmat.2024.133436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/10/2024]
Abstract
Although the combined pollution of trace elements and antibiotics has received extensive attention, the fate and toxicity risk of trace elements with high antibiotic risk are still unclear. The multimedia distributions, partitioning, sources, toxicity risks and co-occurrence network characteristics of trace elements in surface water (SW), overlying water (OW), pore water (PW) and sediment (Sedi) samples of 61 sites from Baiyangdian (BYD) Lake were investigated. The trace elements in the SW and OW are derived mainly from traffic and agricultural sources, and those in PW and Sedi samples are primarily from lithogenic and industrial sources. The total toxicity risk index (TRI) of nine trace elements (ΣTRI) in Sedi samples showed a very high toxicity risk (18.35 ± 8.84), and a high combined pollution toxicity risk (ΣΣTRI) was observed in PW (149.17 ± 97.52) and Sedi samples (46.37 ± 24.00). The co-occurrence network from SW to PW became more vulnerable. Generally, total antibiotics and TP may be keystones of trace elements in water and sediment. The high antibiotic risk significantly influenced ΣΣTRI in water samples but not in Sedi samples. The findings provide new implications for the monitoring and control of combined antibiotic-trace element pollution in shallow lakes.
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Affiliation(s)
- Ling Zhang
- School of Environment, Beijing Normal University, Beijing 100875, China; School of Chemistry and Chemical Engineering, Qinghai Normal University, Xining 810008, China
| | - Junhong Bai
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yujia Zhai
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Kegang Zhang
- Department of Environmental Engineering and Science, North China Electric Power University, Baoding, China
| | - Yaqi Wang
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Ruoxuan Tang
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Rong Xiao
- College of Environment & Safety Engineering, FuZhou University, Fuzhou, China
| | - Milko A Jorquera
- Laboratorio de Ecología Microbiana Aplicada (EMALAB), Departamento de Ciencias Químicas y Recursos Naturales, Universidad de La Frontera, Temuco, Chile
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Zhang L, Bai J, Zhai Y, Zhang K, Wang Y, Tang R, Xiao R, Jorquera MA. Pollution levels and potential ecological risks of trace elements in relation to bacterial community in surface water of shallow lakes in northern China before and after ecological water replenishment. JOURNAL OF CONTAMINANT HYDROLOGY 2024; 262:104318. [PMID: 38354450 DOI: 10.1016/j.jconhyd.2024.104318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/27/2024] [Accepted: 02/06/2024] [Indexed: 02/16/2024]
Abstract
Ecological water replenishment is a crucial and effective measure to improve the water quality and ecological function of lakes. However, the effects of ecological water replenishment on the pollution characteristics and ecological risks of trace elements and bacterial communities in lake surface water are still kept unclear. We investigated the pollution levels and potential ecological risks for trace elements, as well as variation of the bacterial community in surface water in the BYD lake before and after ecological water replenishment. Our results revealed that higher levels and pollution indexes (Igeo) of trace metals (e.g., As, Cd, Co, Cu and Ni; p < 0.05) after ecological water replenishment were observed than before ecological water replenishment and their total potential ecological risk (∑RI) were increased. In contrast, the network complexity of these trace elements, including nodes, edges, average diameter, modularity, clustering coefficient and average pathlength showed a decrease after ecological water replenishment than before. The diversity (community richness, community diversity and phylogenetic diversity decreased) and community structure of the bacterial community in the surface water (p < 0.05) were greatly changed after ecological water replenishment than before, with the increase in heavy metal-resistant phylum (e.g., Acidobacteriota). Moreover, the concentration of trace elements and ∑RI were significantly correlated with the alpha diversity of bacterial community, as well as dissolved organic carbon (DOC) and ORP, after ecological water replenishment. The findings indicate that it is very necessary to continuously monitor trace metal pollution levels and heavy metal-resistant phylum and identify their potential pollution sources for water environment control and lake ecosystem health.
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Affiliation(s)
- Ling Zhang
- School of Environment, Beijing Normal University, Beijing 100875, China; School of Chemistry and Chemical Engineering, Qinghai Normal University, Xining 810008, China
| | - Junhong Bai
- School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Yujia Zhai
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Kegang Zhang
- Department of Environmental Engineering and Science, North China Electric Power University, Baoding, China
| | - Yaqi Wang
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Ruoxuan Tang
- School of Environment, Beijing Normal University, Beijing 100875, China
| | - Rong Xiao
- College of Environment & Safety Engineering, FuZhou University, Fuzhou, China
| | - Milko A Jorquera
- Laboratorio de Ecología Microbiana Aplicada (EMALAB), Departamento de Ciencias Químicas y Recursos Naturales, Universidad de La Frontera, Temuco, Chile
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