Oxylipins at intermediate larval stages of damselfly Coenagrion hastulatum as biochemical biomarkers for anthropogenic pollution.
Benthic invertebrate
Biomarker
Eicosanoid
Fatty acid metabolite
Life cycle
Liquid chromatography-mass spectrometry
Variation
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
20
07
2020
accepted:
12
01
2021
pubmed:
31
1
2021
medline:
4
6
2021
entrez:
30
1
2021
Statut:
ppublish
Résumé
Aquatic pollution resulting from anthropogenic activities requires adequate environmental monitoring strategies in sentinel organisms. Thus, biochemical biomarkers have been used as early-warning tools of biological effects in aquatic organisms. However, before using these markers for environmental monitoring, knowledge about their developmental variation is vital. In this study, we assessed baseline levels and developmental variations of a group of potential biomarkers, oxylipins, during the lifespan of the Northern damselfly (Coenagrion hastulatum) using liquid chromatography-tandem mass spectrometry. Effects of wastewater exposure on baseline levels were studied in a subset of damselflies to investigate the responsiveness due to anthropogenic pollution. Thirty-eight oxylipins deriving from four polyunsaturated fatty acids via two enzymatic pathways were detected in damselflies at three larval stages and in the adult form. Overall, oxylipin baseline levels showed developmental variation, which was lowest in the intermediate larval stages. Effects of exposure to wastewater effluent on oxylipin baseline levels were dependent on the life stage and were greatest in the early and intermediate larval stages. The study provides first insights into oxylipin profiles of damselflies at different stages of development and their developmental variation. Based on our results, we propose further strategies for incorporating oxylipins in damselfly larvae as biochemical markers for anthropogenic pollution.
Identifiants
pubmed: 33515146
doi: 10.1007/s11356-021-12503-x
pii: 10.1007/s11356-021-12503-x
pmc: PMC8164578
doi:
Substances chimiques
Biomarkers
0
Oxylipins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
27629-27638Subventions
Organisme : Svenska Forskningsrådet Formas
ID : 2018-00823
Références
Boroń M, Mirosławski J (2009) Using insects (Damselflies: Azure Damselfly – Coenagrion Puella) as biomarkers of environmental pollution. Fresenius Environmental Bulletin 18(7a):1219–25
Daughton CG, Ternes TA (1999) Pharmaceuticals and personal care products in the environment: agents of subtle change. Environ Health Perspect 107(suppl 6):907–938. https://doi.org/10.1289/ehp.99107s6907
doi: 10.1289/ehp.99107s6907
David A, Lange A, Abdul-Sada A, Tyler CR, Hill EM (2017) Disruption of the prostaglandin metabolome and characterization of the pharmaceutical exposome in fish exposed to wastewater treatment works effluent as revealed by nanoflow-nanospray mass spectrometry-based metabolomics. Environ Sci Technol 51(1):616–624. https://doi.org/10.1021/acs.est.6b04365
doi: 10.1021/acs.est.6b04365
Dennis EA, Norris PC (2015) Eicosanoid storm in infection and inflammation. Nat Rev Immunol 15(8):511–523. https://doi.org/10.1038/nri3859
doi: 10.1038/nri3859
Depledge MH, Fossi MC (1994) The role of biomarkers in environmental assessment (2). Invertebrates. Ecotoxicology 3(3):161–172. https://doi.org/10.1007/BF00117081
doi: 10.1007/BF00117081
Fleeger JW, Carman KR, Nisbet RM (2003) Indirect effects of contaminants in aquatic ecosystems. Sci Total Environ 317(1):207–233. https://doi.org/10.1016/S0048-9697(03)00141-4
doi: 10.1016/S0048-9697(03)00141-4
Garreta-Lara E, Checa A, Fuchs D, Tauler R, Lacorte S, Wheelock CE, Barata C (2018) Effect of psychiatric drugs on Daphnia magna oxylipin profiles. Sci Total Environ 644:1101–1109. https://doi.org/10.1016/j.scitotenv.2018.06.333
doi: 10.1016/j.scitotenv.2018.06.333
Geissen V, Mol H, Klumpp E, Umlauf G, Nadal M, van der Ploeg M, van de Zee SEATM, Ritsema CJ (2015) Emerging pollutants in the environment: a challenge for water resource management. Int Soil Water Conserv Res 3(1):57–65. https://doi.org/10.1016/j.iswcr.2015.03.002
doi: 10.1016/j.iswcr.2015.03.002
Gouveia-Figueira S, Späth J, Zivkovic AM, Nording ML (2015) Profiling the oxylipin and endocannabinoid metabolome by UPLC-ESI-MS/MS in human plasma to monitor postprandial inflammation. PLoS ONE 10(7):e0132042. https://doi.org/10.1371/journal.pone.0132042
doi: 10.1371/journal.pone.0132042
Häder DP, Banaszak AT, Villafañe VE, Narvarte MA, González RA, Helbling EW (2020) Anthropogenic pollution of aquatic ecosystems: emerging problems with global implications. Sci Total Environ 713:136586. https://doi.org/10.1016/j.scitotenv.2020.136586
doi: 10.1016/j.scitotenv.2020.136586
Halling-Sørensen B, Nors Nielsen S, Lanzky PF, Ingerslev F, Holten Lützhøft HC, Jørgensen SE (1998) Occurrence, fate and effects of pharmaceutical substances in the environment- a review. Chemosphere 36(2):357–393. https://doi.org/10.1016/S0045-6535(97)00354-8
doi: 10.1016/S0045-6535(97)00354-8
Heckmann LH, Sibly RM, Timmermans MJTN, Callaghan A (2008) Outlining eicosanoid biosynthesis in the crustacean Daphnia. Front Zool 5:11. https://doi.org/10.1186/1742-9994-5-11
doi: 10.1186/1742-9994-5-11
Janssens L, Stoks R (2013) Fitness effects of chlorpyrifos in the damselfly Enallagma cyathigerum strongly depend upon temperature and food level and can bridge metamorphosis. PLoS ONE 8(6):e68107. https://doi.org/10.1371/journal.pone.0068107
doi: 10.1371/journal.pone.0068107
Jonsson M, Fick J, Klaminder J, Brodin T (2014) Antihistamines and aquatic insects: bioconcentration and impacts on behavior in damselfly larvae (Zygoptera). Sci Total Environ 472:108–111. https://doi.org/10.1016/j.scitotenv.2013.10.104
doi: 10.1016/j.scitotenv.2013.10.104
Kidd KA, Blanchfield PJ, Mills KH, Palace VP, Evans RE, Lazorchak JM, Flick RW (2007) Collapse of a fish population after exposure to a synthetic estrogen. Proc Natl Acad Sci 104(21):8897–8901. https://doi.org/10.1073/pnas.0609568104
doi: 10.1073/pnas.0609568104
Knight J, Rowley AF, Yamazaki M, Clare AS (1999) Eicosanoids are modulators of larval settlement in the barnacle, Balanus amphitrite. J Mar Biol Assoc U K 80(1):113–117
doi: 10.1017/S0025315499001629
Luo Y, Guo W, Ngo HH, Nghiem LD, Hai FI, Zhang J, Liang S, Wang XC (2014) A review on the occurrence of micropollutants in the aquatic environment and their fate and removal during wastewater treatment. Sci Total Environ 473–474:619–641. https://doi.org/10.1016/j.scitotenv.2013.12.065
doi: 10.1016/j.scitotenv.2013.12.065
Monserrat JM, Martínez PE, Geracitano LA, Amado LL, Martins CMG, Pinho GLL, Chaves IS, Ferreira-Cravo M, Ventura-Lima J, Bianchini A (2007, Fourth Special Issue of CBP) Pollution biomarkers in estuarine animals: critical review and new perspectives. Comp Biochem Physiol C Toxicol Pharmacol 146(1):221–234. https://doi.org/10.1016/j.cbpc.2006.08.012
doi: 10.1016/j.cbpc.2006.08.012
Norling U (1984) The life cycle and larval photoperiodic responses of Coenagrion hastulatum (Charpentier) in two climatically different areas (Zygoptera: Coenagrionidae). Odonatologica 13(3):429–449
Ostermann AI, Willenberg I, Schebb NH (2015) Comparison of sample preparation methods for the quantitative analysis of eicosanoids and other oxylipins in plasma by means of LC-MS/MS. Anal Bioanal Chem 407(5):1403–1414. https://doi.org/10.1007/s00216-014-8377-4
doi: 10.1007/s00216-014-8377-4
Power and sample size (n.d.) https://statcomp2.app.vumc.org/ps/ . Accessed April 22, 2020
Previšić A, Rožman M, Mor JR, Acuña V, Serra-Compte A, Petrović M, Sabater S (2020) Aquatic macroinvertebrates under stress: bioaccumulation of emerging contaminants and metabolomics implications. Sci Total Environ 704:135333. https://doi.org/10.1016/j.scitotenv.2019.135333
doi: 10.1016/j.scitotenv.2019.135333
Rodrigues C, Guimarães L, Vieira N (2019) Combining biomarker and community approaches using benthic macroinvertebrates can improve the assessment of the ecological status of rivers. Hydrobiologia 2019(839):1–24. https://doi.org/10.1007/s10750-019-03991-7
doi: 10.1007/s10750-019-03991-7
Sarkar A, Ray D, Shrivastava AN, Sarker S (2006) Molecular biomarkers: their significance and application in marine pollution monitoring. Ecotoxicology 15(4):333–340. https://doi.org/10.1007/s10646-006-0069-1
doi: 10.1007/s10646-006-0069-1
Scarduelli L, Giacchini R, Parenti P, Migliorati S, Di Brisco AM, Vighi M (2017) Natural variability of biochemical biomarkers in the macro-zoobenthos: dependence on life stage and environmental factors. Environ Toxicol Chem 36(11):3158–3167. https://doi.org/10.1002/etc.3893
doi: 10.1002/etc.3893
Späth J, Nording M, Lindberg R, Brodin T, Jansson S, Yang J, Wan D, Hammock B, Fick J (2020) Novel metabolomic method to assess the effect-based removal efficiency of advanced wastewater treatment techniques. Environ Chem 17:1. https://doi.org/10.1071/EN19270
doi: 10.1071/EN19270
Storhaug E, Nahrgang J, Pedersen KB, Brooks SJ, Petes L, Bakhmet IM, Frantzen M (2019) Seasonal and spatial variations in biomarker baseline levels within Arctic populations of mussels (Mytilus Spp.). Sci Total Environ 656:921–936. https://doi.org/10.1016/j.scitotenv.2018.11.397
doi: 10.1016/j.scitotenv.2018.11.397
van der Oost R, Beyer J, Vermeulen NPE (2003) Fish bioaccumulation and biomarkers in environmental risk assessment: a review. Environ Toxicol Pharmacol 13(2):57–149. https://doi.org/10.1016/S1382-6689(02)00126-6
doi: 10.1016/S1382-6689(02)00126-6
Wigh A, Geffard O, Abbaci K, Francois A, Noury P, Bergé A, Vulliet E (2017) Gammarus fossarum as a sensitive tool to reveal residual toxicity of treated wastewater effluents. Sci Total Environ 584–585:1012–1021. https://doi.org/10.1016/j.scitotenv.2017.01.154
doi: 10.1016/j.scitotenv.2017.01.154
Yang J, Schmelzer K, Georgi K, Hammock BD (2009) Quantitative profiling method for oxylipin metabolome by liquid chromatography electrospray ionization tandem mass spectrometry. Anal Chem 81(19):8085–8093. https://doi.org/10.1021/ac901282n
doi: 10.1021/ac901282n