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Mamy L, Pesce S, Sanchez W, Aviron S, Bedos C, Berny P, Bertrand C, Betoulle S, Charles S, Chaumot A, Coeurdassier M, Coutellec MA, Crouzet O, Faburé J, Fritsch C, Gonzalez P, Hedde M, Leboulanger C, Margoum C, Mougin C, Munaron D, Nélieu S, Pelosi C, Rault M, Sucré E, Thomas M, Tournebize J, Leenhardt S. Impacts of neonicotinoids on biodiversity: a critical review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-31032-3. [PMID: 38036909 DOI: 10.1007/s11356-023-31032-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 11/08/2023] [Indexed: 12/02/2023]
Abstract
Neonicotinoids are the most widely used class of insecticides in the world, but they have raised numerous concerns regarding their effects on biodiversity. Thus, the objective of this work was to do a critical review of the contamination of the environment (soil, water, air, biota) by neonicotinoids (acetamiprid, clothianidin, imidacloprid, thiacloprid, thiamethoxam) and of their impacts on terrestrial and aquatic biodiversity. Neonicotinoids are very frequently detected in soils and in freshwater, and they are also found in the air. They have only been recently monitored in coastal and marine environments, but some studies already reported the presence of imidacloprid and thiamethoxam in transitional or semi-enclosed ecosystems (lagoons, bays, and estuaries). The contamination of the environment leads to the exposure and to the contamination of non-target organisms and to negative effects on biodiversity. Direct impacts of neonicotinoids are mainly reported on terrestrial invertebrates (e.g., pollinators, natural enemies, earthworms) and vertebrates (e.g., birds) and on aquatic invertebrates (e.g., arthropods). Impacts on aquatic vertebrate populations and communities, as well as on microorganisms, are less documented. In addition to their toxicity to directly exposed organisms, neonicotinoid induce indirect effects via trophic cascades as demonstrated in several species (terrestrial and aquatic invertebrates). However, more data are needed to reach firmer conclusions and to get a clearer picture of such indirect effects. Finally, we identified specific knowledge gaps that need to be filled to better understand the effects of neonicotinoids on terrestrial, freshwater, and marine organisms, as well as on ecosystem services associated with these biotas.
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Affiliation(s)
- Laure Mamy
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France.
| | | | | | | | - Carole Bedos
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France
| | - Philippe Berny
- UR ICE Vetagro Sup, Campus Vétérinaire, 69280, Marcy‑L'Etoile, France
| | - Colette Bertrand
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France
| | - Stéphane Betoulle
- Université de Reims Champagne-Ardenne, Normandie Université, ULH, INERIS, SEBIO, 51100, Reims, France
| | | | | | - Michael Coeurdassier
- Laboratoire Chrono-Environnement, UMR 6249 CNRS-Université de Franche-Comté, 25000, Besançon, France
| | - Marie-Agnès Coutellec
- DECOD (Ecosystem Dynamics and Sustainability), INRAE, L'Institut Agro, Ifremer, 35042, Rennes, France
| | - Olivier Crouzet
- OFB, Direction de la Recherche et Appui Scientifique (DRAS), 78610, Auffargis, France
| | - Juliette Faburé
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France
| | - Clémentine Fritsch
- Laboratoire Chrono-Environnement, UMR 6249 CNRS-Université de Franche-Comté, 25000, Besançon, France
| | - Patrice Gonzalez
- CNRS, Bordeaux INP, EPOC, UMR 5805, Univ. Bordeaux, 33600, Pessac, France
| | - Mickael Hedde
- Eco&Sols, Univ. Montpellier, INRAE, IRD, CIRAD, Institut Agro Montpellier, 34060, Montpellier, France
| | | | | | - Christian Mougin
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France
| | | | - Sylvie Nélieu
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 91120, Palaiseau, France
| | - Céline Pelosi
- INRAE, Avignon Université, UMR EMMAH, 84000, Avignon, France
| | - Magali Rault
- Université d'Avignon, Université Aix-Marseille, CNRS, IRD, IMBE, Pôle Agrosciences, 84916, Avignon, France
| | - Elliott Sucré
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, 34200, Sète, France
- Centre Universitaire de Formation Et de Recherche de Mayotte (CUFR), 97660, Dembeni, Mayotte, France
| | - Marielle Thomas
- Université de Lorraine, INRAE, UR AFPA, 54000, Nancy, France
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Barbetta MFS, Perovani IS, Duarte LO, de Oliveira ARM. Enantioselective in vitro metabolism of the herbicide diclofop-methyl: Prediction of toxicokinetic parameters and reaction phenotyping. J Pharm Biomed Anal 2023; 235:115639. [PMID: 37619294 DOI: 10.1016/j.jpba.2023.115639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/21/2023] [Accepted: 08/06/2023] [Indexed: 08/26/2023]
Abstract
Human exposure to contaminants of emerging concern, like pesticides, has increased in the past decades. Diclofop-methyl (DFM) is a chiral herbicide that is employed as a racemic mixture (rac-DFM) in soybean and other crops against wild oats. Studies have shown that DFM has enantioselective action (higher for R-DFM), degradation (faster for S-DFM), and metabolism, producing diclofop (DF) which is also a pesticide. Although toxic effects have been reported for DFM, information regarding how DFM affects humans is lacking, especially when its chirality is concerned. In this study, the in vitro metabolism of rac-DFM and its isolated enantiomers was assessed by using a human model based on human liver microsomes. The kinetic model and parameters were obtained, and the hepatic clearance (CLH) and hepatic extraction ratio (EH) were estimated. Enzyme phenotyping was carried out by employing carboxylesterase isoforms (CES 1 and CES 2). DFM was metabolized through positive homotropic cooperativity with slight preference for (-)-DFM metabolism to (-)-DF. CLH and EH were above 19.60 mL min-1 kg-1 and 98 % for all the monitored reactions, respectively, and CES 1 was the main enzyme underlying the metabolism. These findings point out that liver contributes to DFM metabolism, which is fast, resulting in nearly complete conversion to DF after exposition to DFM.
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Affiliation(s)
- Maike Felipe Santos Barbetta
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil
| | - Icaro Salgado Perovani
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil
| | - Leandro Oka Duarte
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil
| | - Anderson Rodrigo Moraes de Oliveira
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil; National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM), Unesp, Institute of Chemistry, P.O. Box 355, 14800-900 Araraquara, SP, Brazil.
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Banjare P, Singh J, Papa E, Roy PP. Aquatic toxicity prediction of diverse pesticides on two algal species using QSTR modeling approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:10599-10612. [PMID: 36083366 DOI: 10.1007/s11356-022-22635-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
With the aim of identification of toxic nature of the diverse pesticides on the aquatic compartment, a large dataset of pesticides (n = 325) with experimental toxicity data on two algal test species (Pseudokirchneriella subcapitata (PS) (synonym: Raphidocelis subcapitata, Selenastrum capricornutum) and Scenedemus subspicatus (SS)) was gathered and subjected to quantitative structure toxicity relationship (QSTR) analysis to predict aquatic toxicity of pesticides. The QSTR models were developed by multiple linear regressions (MLRs), and the genetic algorithm (GA) was used for the variable selection. The developed GA-MLR models were statistically robust enough internally (Q2LOO = 0.620-0.663) and externally (Q2Fn = 0.693-0.868, CCCext = 0.843-0.877). The leverage approach of applicability domain (AD) and prediction reliability indicator assured the reliability of the developed models. The mechanistic interpretation highlighted that the presence of SO2, F and aromatic rings influenced the toxicity of pesticides towards PS species while the presence of alkyl, alkyl halide, aromatic rings and carbonyl was responsible for the toxicity of pesticides towards SS species. Additionally, we have reported the application of developed models to pesticides without experimental value and the cumulative toxicity of pesticides on the aquatic environment by using principal component analysis (PCA). The reliable prediction and prioritization of toxic compounds from the developed models will be useful in the aquatic toxicity assessment of pesticides.
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Affiliation(s)
- Purusottam Banjare
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, 495009, India
| | - Jagadish Singh
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, 495009, India
| | - Ester Papa
- Department of Theoretical and Applied Sciences (DiSTA), University of Insubria, Via J.H. Dunant 3, 21100, Varese, Italy
| | - Partha Pratim Roy
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, 495009, India.
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Wang H, Meng Z, Liu F, Zhou L, Su M, Meng Y, Zhang S, Liao X, Cao Z, Lu H. Characterization of boscalid-induced oxidative stress and neurodevelopmental toxicity in zebrafish embryos. CHEMOSPHERE 2020; 238:124753. [PMID: 31545217 DOI: 10.1016/j.chemosphere.2019.124753] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 08/31/2019] [Accepted: 09/03/2019] [Indexed: 06/10/2023]
Abstract
Boscalid is a widely used fungicide in agriculture and has been frequently detected in both environments and agricultural products. However, evidence on the neurotoxic effect of boscalid is scarce. In this study, zebrafish served as an animal model to investigate the toxic effects and mechanisms of boscalid on aquatic vertebrates or higher animals. And we unravelled that boscalid induced developmental defects associated with oxidative stress. Developmental defects, including head deformity, hypopigmentation, decreased number of newborn neurons, structural defects around the ventricle, enlarged intercellular space in the brain, and nuclear concentration, were observed in zebrafish embryos after boscalid exposure at 48 hpf. Interestingly, we found that boscalid might directly induce oxidative stress and alter the activity of ATPase, which in turn disrupted the expression of genes involved in neurodevelopment and transmitter-transmitting signalings and melanocyte differentiation and melanin synthesis signalings. Ultimately, the differentiation of nerve cells and melanocytes were both impacted and the synthesis of melanin was inhibited, leading to morphological abnormalities. Additionally, exposure to boscalid led to less and imbalance motion and altered tendency of locomotor in larval fish. Collectively, our results provide new evidences for a comprehensive assessment of its toxicity and a warning for its residues in environment and agricultural products.
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Affiliation(s)
- Honglei Wang
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Zhen Meng
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Fasheng Liu
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Liqun Zhou
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Meile Su
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Yunlong Meng
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Shouhua Zhang
- Department of General Surgery, Jiangxi Provincial Children's Hospital, Nanchang, 330006, PR China
| | - Xinjun Liao
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Zigang Cao
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China
| | - Huiqiang Lu
- Jiangxi Engineering Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases, Jiangxi Key Laboratory of Developmental Biology of Organs, Ji'an, Jiangxi, China; Center for Developmental Biology of Jinggangshan University, College of Life Sciences, Jinggangshan University, Ji'an, Jiangxi, China.
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