Evaluation of Multivariate Biomarker Indexes Application in Ecotoxicity Tests with Marine Diatoms Exposed to Emerging Contaminants
Source abstract
Abstract
Worldwide anthropogenic activities result in the production and release of potentially damaging toxic pollutants into ecosystems, thereby jeopardizing their health and continuity. Research studies and biomonitoring programs attend to this emerging problematic by applying and developing statistically relevant indexes that integrate complex biomarker response data to provide a holistic approach, reflecting toxically induced alterations at the organism or population level. Ultimately, indexes allow simple result communications, enhancing policy makers understanding, and contributing to better resource and environmental managing policies. In this study three indexes, the integrated biomarker response index (IBR), the bioeffects assessment index (BAI) and principal components analysis (PCA), were evaluated for their sensitivity in revealing toxically induced stress patterns in cells of the diatom Phaeodactylum tricornutum under contaminant exposure. The set of biomarkers selected for index construction comprised the anti-oxidant enzymes APX, CAT and SOD, and the lipid peroxidation marker TBARS. Several significant correlations with the applied concentration gradients were noticed for all indexes, although IBR excelled for its reliability in delivering statistically significant dose-response patterns for four out of the five tested compounds.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Environmental Toxicology and Ecotoxicology · Pharmaceutical and Antibiotic Environmental Impacts · Environmental Chemistry and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
MARE—Marine and Environmental Sciences Centre, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
MARE—Marine and Environmental Sciences Centre, ESTM, Politécnico de Leiria, 2520-630 Peniche, Portugal
Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
Departamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal
Funding
Fundação para a Ciência e a Tecnologia · Centro2020
References (63)
Show source-provided references
1. Emerging contaminants: A tutorial mini-review
2. EUROSTAT (2021, February 11). EUROSTAT. Available online: https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Archive:Chemicals_production_statistics&oldid=199190.
3. Duarte, B., and Caçador, I. (2019). Ecotoxicology of Marine Organisms, Taylor & Francis Group. [1st ed.].10.1201/b22000 ↗
4. Effects of antidepressants in the reproduction of aquatic organisms: A meta-analysis10.1016/j.aquatox.2020.105569 ↗
5. Integrated biomarker response: A useful tool for ecological risk assessment10.1002/etc.5620210629 ↗
6. Schettino, T., Caricato, R., Calisi, A., Giordano, M.E., and Lionetto, M.G. (2012). Biomarker Approach in Marine Monitoring and Assessment: New Insights and Perspectives. Open Environ. Sci., 12.10.2174/1876325101206010020 ↗
7. Biomarker responses to environmental contamination in estuaries: A comparative multi-taxa approach10.1016/j.aquatox.2017.05.010 ↗
8. European Comission (2017). European Comission Marine Strategy Framework Directive (MSFD), Europen Comision.
9. WHO (1993). Biomarkers and Risk Assessment: Concepts and Principles, Environmental Health Criteria, WHO.
10. Molecular biomarkers of oxidative stress in aquatic organisms in relation to toxic environmental pollutants10.1016/j.ecoenv.2005.03.013 ↗
11. Contaminant-stimulated reactive oxygen species production and oxidative damage in aquatic organisms10.1016/S0025-326X(01)00060-1 ↗
12. A comparative evaluation of thiobarbituric acid methods for the determination of malondialdehyde in biological materials10.1016/0891-5849(93)90035-S ↗
13. Biophysical and biochemical markers of metal/metalloid-impacts in salt marsh halophytes and their implications10.3389/fenvs.2016.00024 ↗
14. Overview of integrative tools and methods in assessing ecological integrity in estuarine and coastal systems worldwide10.1016/j.marpolbul.2008.07.005 ↗
15. De Carvalho, R.C., Feijão, E., Matos, A.R., Cabrita, M.T., Novais, S.C., Lemos, M.F.L., Caçador, I., Marques, J.C., Reis-Santos, P., and Fonseca, V.F. (2020). Glyphosate-based herbicide toxicophenomics in marine diatoms: Impacts on primary production and physiological fitness. Appl. Sci., 10.10.3390/app10217391 ↗
16. Assessing the environmental quality status in estuarine and coastal systems: Comparing methodologies and indices10.1016/j.ecolind.2007.05.004 ↗
17. The importance of open science for biological assessment of aquatic environments10.7717/peerj.9539 ↗
18. Ecological quality assessment of transitional waters based on fish assemblages in Portuguese estuaries: The Estuarine Fish Assessment Index (EFAI)10.1016/j.ecolind.2011.08.005 ↗
19. The “bioeffect assessment index” (BAI): A concept for the quantification of effects of marine pollution by an integrated biomarker approach10.1016/j.marpolbul.2005.02.042 ↗
20. Sediment microbial activities and physic-chemistry as progress indicators of salt marsh restoration processes10.1016/j.ecolind.2011.07.014 ↗
21. Microbiological degradation index of soils in a semiarid climate10.1016/j.soilbio.2006.06.001 ↗
22. Duarte, B., Feijão, E., de Carvalho, R.C., Duarte, I.A., Silva, M., Matos, A.R., Cabrita, M.T., Novais, S.C., Lemos, M.F.L., and Marques, J.C. (2020). Effects of propranolol on growth, lipids and energy metabolism and oxidative stress response of Phaeodactylum tricornutum. Biology, 9.10.3390/biology9120478 ↗
23. Fluoxetine Arrests Growth of the Model Diatom Phaeodactylum tricornutum by Increasing Oxidative Stress and Altering Energetic and Lipid Metabolism10.3389/fmicb.2020.01803 ↗
24. Silva, M., Feijão, E., da Cruz de Carvalho, R., Duarte, I.A., Matos, A.R., Cabrita, M.T., Barreiro, A., Lemos, M.F.L., Novais, S.C., and Marques, J.C. (2020). Comfortably numb: Ecotoxicity of the non-steroidal anti-inflammatory drug ibuprofen on Phaeodactylum tricornutum. Mar. Environ. Res., 161.10.1016/j.marenvres.2020.105109 ↗
25. Silva, M., Feijão, E., Carvalho, R.C., Matos, A.R., Cabrita, M.T., Lemos, M.F.L., Novais, S.C., Marques, J.C., Caçador, I., and Reis-Santos, P. (2021). Ecotoxicity of the detergent SDS on Phaeodactylum tricornutum primary productivity, fatty acid metabolism and oxidative stress biomarkers, preprint.
26. Studies of marine planktonic diatoms. I. Cyclotella nana Hustedt, and Detonula confervacea (cleve) Gran10.1139/m62-029 ↗
27. Heat wave impacts on the model diatom Phaeodactylum tricornutum: Searching for photochemical and fatty acid biomarkers of thermal stress10.1016/j.ecolind.2017.07.058 ↗
28. OECD (2011). OECD guidelines for the testing of chemicals. Freshwater alga and cyanobacteria, growth inhibition test. Organ. Econ. Coop. Dev., 1–25.
29. A multibiomarker approach to explore interactive effects of propranolol and fluoxetine in marine mussels10.1016/j.envpol.2015.05.020 ↗
30. Emerging contaminants in Belgian marine waters: Single toxicant and mixture risks of pharmaceuticals10.1016/j.marpolbul.2013.03.039 ↗
31. Catalase activities of hydrocarbon-utilizing candida yeasts10.1080/00021369.1974.10861301 ↗
32. Antioxidant defense system and cadmium uptake in barley genotypes differing in cadmium tolerance10.1016/j.jtemb.2005.12.004 ↗
33. Involvement of the Superoxide Anion Radical in the Autoxidation of Pyrogallol and a Convenient Assay for Superoxide Dismutase10.1111/j.1432-1033.1974.tb03714.x ↗
34. Photoperoxidation in isolated chloroplasts. I. Kinetics and stoichiometry of fatty acid peroxidation10.1016/0003-9861(68)90654-1 ↗
35. Indices for the assessment of environmental pollution of the Baltic Sea coasts: Integrated assessment of a multi-biomarker approach10.1016/j.marpolbul.2006.02.004 ↗
36. Rhizosphere soil microbial index of tree species in a coal mining ecosystem10.1016/j.soilbio.2008.11.022 ↗
37. Clarke, K., and RN, G. (2021, March 03). Primer v6: User Manual/Tutorial. Available online: https://www.scienceopen.com/document?vid=87ec9d6d-cae1-4f49-9204-0fbf723dcdbc.
38. Alternative soil quality indices for evaluating the effect of intensive cropping, fertilisation and manuring for 31 years in the semi-arid soils of India10.1007/s10661-007-9697-z ↗
39. Photochemical features and trace element substituted chlorophylls as early detection biomarkers of metal exposure in the model diatom Phaeodactylum tricornutum10.1016/j.ecolind.2017.07.057 ↗
40. Phytoplankton community-level bio-optical assessment in a naturally mercury contaminated Antarctic ecosystem (Deception Island)10.1016/j.marenvres.2018.07.014 ↗
41. Ecotoxicity of the lipid-lowering drug bezafibrate on the bioenergetics and lipid metabolism of the diatom Phaeodactylum tricornutum10.1016/j.scitotenv.2018.09.354 ↗
42. Zostera noltii development probing using chlorophyll a transient analysis (JIP-test) under field conditions: Integrating physiological insights into a photochemical stress index10.1016/j.ecolind.2017.01.023 ↗
43. Biomarkers of environmental pollutants10.1155/2014/806598 ↗
44. The integrated biomarker response revisited: Optimization to avoid misuse10.1007/s11356-013-2169-9 ↗
45. Marine environmental assessment approaches based on biomarker index: A review
46. Marine ecosystem health status assessment through integrative biomarker indices: A comparative study after the Prestige oil spill “mussel Watch.”10.1007/s10646-013-1042-4 ↗
47. Antioxidant and neurotoxicity markers in the model organism Enchytraeus albidus (Oligochaeta): Mechanisms of response to atrazine, dimethoate and carbendazim10.1007/s10646-014-1265-z ↗
48. An integrative biological effects assessment of a mine discharge into a Norwegian fjord using field transplanted mussels10.1016/j.scitotenv.2018.07.058 ↗
49. Application of an integrated biomarker response index (IBR) to assess temporal variation of environmental quality in two Portuguese aquatic systems10.1016/j.ecolind.2011.08.009 ↗
50. Assessment of the health status of mussels Mytilus galloprovincialis along Thermaikos Gulf (Northern Greece): An integrative biomarker approach using ecosystem health indices10.1016/j.ecoenv.2010.06.027 ↗
51. Isolated and mixed effects of diuron and its metabolites on biotransformation enzymes and oxidative stress response of Nile tilapia (Oreochromis niloticus)10.1016/j.ecoenv.2017.12.009 ↗
52. Integrated biomarker responses of an estuarine invertebrate to high abiotic stress and decreased metal contamination10.1016/j.marenvres.2014.10.001 ↗
53. Using biomarkers to address the impacts of pollution on limpets (Patella depressa) and their mechanisms to cope with stress10.1016/j.ecolind.2017.09.046 ↗
54. Halophyte fatty acids as biomarkers of anthropogenic-driven contamination in Mediterranean marshes: Sentinel species survey and development of an integrated biomarker response (IBR) index10.1016/j.ecolind.2017.12.050 ↗
55. Development of a toxicophenomic index for trace element ecotoxicity tests using the halophyte Juncus acutus: Juncus-TOX10.1016/j.ecolind.2020.107097 ↗
56. Adams, S.M., Brown, A.M., and Goede, R.W. (1993). A Quantitative Health Assessment Index for Rapid Evaluation of Fish Condition in the Field. Trans. Am. Fish. Soc., 122.10.1577/1548-8659(1993)122<0063:AQHAIF>2.3.CO;2 ↗
57. Nonmetric multivariate analysis in community-level ecotoxicology
58. Aggregate eco-efficiency indices for New Zealand—A principal components analysis10.1016/j.jenvman.2004.07.002 ↗
59. Principal Components and Hierarchical Cluster Analyses of Trace Metals and Total Hydrocarbons in Gills, Intestines and Muscles of Clarias gariepinus (Burchell, 1822)10.1038/s41598-020-62024-9 ↗
60. Development of a Marine Sediment Pollution Index10.1016/S0269-7491(00)00192-5 ↗
61. Use of principal components analysis (PCA) on estuarine sediment datasets: The effect of data pre-treatment10.1016/j.envpol.2009.03.033 ↗
62. Development of an Angiosperm Quality Assessment Index (AQuA-Index) for ecological quality evaluation of Portuguese water bodies—A multi-metric approach10.1016/j.ecolind.2012.09.021 ↗
63. Principal component analysis10.1038/nmeth.4346 ↗