Exposure to heavy metal-contaminated sediments disrupts gene expression, lipid profile, and life history traits in the midge Chironomus riparius

Autor: Lola Llorente, Hélène Arambourou, Carlos Barata, Oscar Herrero, Inmaculada Fuertes, Iñigo Moreno-Ocio, Rosario Planelló, Nicolas Delorme, Leire Méndez-Fernández
Přispěvatelé: Riverly (Riverly), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biology and Environmental Toxicology Group, Universidad Nacional de Educación a Distancia (UNED), Department of Zoology and Animal Cellular Biolog, University of the Basque Country [Bizkaia] (UPV/EHU), Department of Environmental Chemistry [Barcelona], Spanish National Research Council (CSIC), Department of Plant Biology and Ecology, National Distance Education University (UNED) : 2018I/PPRO/008, Spanish Ministry of Economy and Competitiveness (MINECO) :CGL 2013-44655-RCTM 2017-83242-R, Community of Madrid Government, European Social Fund (ESF) :PEJ-2017-AI/BIO-6834, University of Basque Country, project 'Ecosystem Services Assessment of the Basque Country', Department of Environment and Regional Planning of the Basque Government :CONV18/01, Department of Sustainability and Environment of Biscay Provincial Council :CONV15/08, Barata Martí, Carlos, Fuertes, Inmaculada, Barata Martí, Carlos [0000-0002-3360-0729], Fuertes, Inmaculada [0000-0001-8415-7993]
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Geologic Sediments
Environmental Engineering
Endocrine disruption
0208 environmental biotechnology
ved/biology.organism_classification_rank.species
02 engineering and technology
010501 environmental sciences
Biology
01 natural sciences
Freshwater ecosystem
Chironomidae
Metals
Heavy
Integrative approach
Animals
Ecosystem
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Waste Management and Disposal
Life History Traits
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
Chironomus riparius
Larva
ved/biology
Ecological Modeling
Lipidomic
Shape markers
Contamination
biology.organism_classification
Pollution
Lipids
3. Good health
020801 environmental engineering
Environmental chemistry
Larval development
Toxicity
Midge
Transcriptional alterations
Respiration rate
Water Pollutants
Chemical
Zdroj: Water Research
Water Research, IWA Publishing, 2020, 168, pp.115165. ⟨10.1016/j.watres.2019.115165⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 0043-1354
DOI: 10.1016/j.watres.2019.115165⟩
Popis: Despite the concern about anthropogenic heavy metal accumulation, there remain few multi-level ecotoxicological studies to evaluate their effects in fluvial ecosystems. The toxicity of field-collected sediments exhibiting a gradient of heavy metal contamination (Cd, Pb, and Zn) was assessed in Chironomus riparius. For this purpose, larvae were exposed throughout their entire life cycle to these sediments, and toxic effects were measured at different levels of biological organization, from the molecular (lipidomic analysis and transcriptional profile) to the whole organism response (respiration rate, shape markers, and emergence rate). Alterations in the activity of relevant genes, as well as an increase of storage lipids and decrease in membrane fluidity, were detected in larvae exposed to the most contaminated sediments. Moreover, reduced larval and adult mass, decrease of larval respiration rate, and delayed emergence were observed, along with increased mentum and mandible size in larvae and decreased wing loading in adults. This study points out the deleterious effects of heavy metal exposure at various levels of biological organization and provides some clues regarding the mode of toxic action. This integrative approach provides new insights into the multi-level effects on aquatic insects exposed to heavy metal mixtures in field sediments, providing useful tools for ecological risk assessment in freshwater ecosystems. © 2019 Elsevier Ltd
The professional editing service NB Revisions was used for technical preparation of the text prior to submission.
Databáze: OpenAIRE
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