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Transcriptional and biochemical biomarker responses in a freshwater mussel (Anodonta anatina) under environmentally relevant Cu exposure
Högskolan i Skövde, Institutionen för biovetenskap. Högskolan i Skövde, Forskningsmiljön Systembiologi. Department of Biology, Lund University, Sweden. (Ekologisk modellering, Ecological Modeling)ORCID-id: 0000-0002-2418-1163
Högskolan i Skövde, Institutionen för biovetenskap. Högskolan i Skövde, Forskningsmiljön Systembiologi. (Ekologisk modellering, Ecological Modeling)ORCID-id: 0000-0002-3965-7371
Högskolan i Skövde, Institutionen för biovetenskap. Högskolan i Skövde, Forskningsmiljön Systembiologi. (Translationell bioinformatik, Translational Bioinformatics)ORCID-id: 0000-0001-6254-4335
TATAA Biocenter, Gothenburg, Sweden.
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2020 (Engelska)Ingår i: Environmental Science and Pollution Research, ISSN 0944-1344, E-ISSN 1614-7499, Vol. 27, nr 9, s. 9999-10010Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Molecular biomarkers, like gene transcripts or enzyme activities, are potentially powerful tools for early warning assessment of pollution. However, a thorough understanding of response and baseline variation is required to distinguish actual effects from pollution. Here, we assess the freshwater mussel Anodonta anatina as a biomarker model species for freshwater ecosystems, by testing responses of six transcriptional (cat, gst, hsp70, hsp90, mt, and sod) and two biochemical (AChE and GST) biomarkers to environmentally relevant Cu water concentrations. Mussels (n = 20), collected from a stream free from point source pollution, were exposed in the laboratory, for 96 h, to Cu treatments (< 0.2 mu g/L, 0.77 +/- 0.87 mu g/L, and 6.3 +/- 5.4 mu g/L). Gills and digestive glands were extracted and analyzed for transcriptional and biochemical responses. Biological and statistical effect sizes from Cu treatments were in general small (mean log(2) fold-change <= 0.80 and Cohen's f <= 0.69, respectively), and no significant treatment effects were observed. In contrast, four out of eight biomarkers (cat, gst, hsp70, and GST) showed a significant sex:tissue interaction, and additionally one (sod) showed significant overall effects from sex. Specifically, three markers in gills (cat, mt, GST) and one in digestive gland (AChE) displayed significant sex differences, independent of treatment. Results suggest that sex or tissue effects might obscure low-magnitude biomarker responses and potential early warnings. Thus, variation in biomarker baselines and response patterns needs to be further addressed for the future use of A. anatina as a biomarker model species.

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Springer Berlin/Heidelberg, 2020. Vol. 27, nr 9, s. 9999-10010
Nyckelord [en]
Bivalve, Gene expression, Response variability, Sex effects, Effect size, RT-qPCR
Nationell ämneskategori
Annan biologi
Forskningsämne
INF502 Biomarkörer; Ekologisk modellering; Bioinformatik
Identifikatorer
URN: urn:nbn:se:his:diva-18132DOI: 10.1007/s11356-020-07660-4ISI: 000524949600099PubMedID: 31933076Scopus ID: 2-s2.0-85077999744OAI: oai:DiVA.org:his-18132DiVA, id: diva2:1385563
Forskningsfinansiär
KK-stiftelsen
Anmärkning

Environmental Science and Pollution Research. ISSN: 0944-1344 (Print) 1614-7499 (Online)

Tillgänglig från: 2020-01-14 Skapad: 2020-01-14 Senast uppdaterad: 2020-04-30Bibliografiskt granskad

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Ekelund Ugge, Gustaf Magnus OskarJonsson, AnnieOlsson, Björn

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