Sensitive and robust gene expression changes in fish exposed to estrogen – a microarray approach
Artikel i vetenskaplig tidskrift, 2007

Background Vitellogenin is a well established biomarker for estrogenic exposure in fish. However, effects on gonadal differentiation at concentrations of estrogen not sufficient to give rise to a measurable vitellogenin response suggest that more sensitive biomarkers would be useful. Induction of zona pellucida genes may be more sensitive but their specificities are not as clear. The objective of this study was to find additional sensitive and robust candidate biomarkers of estrogenic exposure. Results Hepatic mRNA expression profiles were characterized in juvenile rainbow trout exposed to a measured concentration of 0.87 and 10 ng ethinylestradiol/L using a salmonid cDNA microarray. The higher concentration was used to guide the subsequent identification of generally more subtle responses at the low concentration not sufficient to induce vitellogenin. A meta-analysis was performed with data from the present study and three similar microarray studies using different fish species and platforms. Within the generated list of presumably robust responses, several well-known estrogen-regulated genes were identified. Two genes, confirmed by quantitative RT-PCR (qPCR), fulfilled both the criteria of high sensitivity and robustness; the induction of the genes encoding zona pellucida protein 3 and a nucleoside diphosphate kinase (nm23). Conclusion The cross-species, cross-platform meta-analysis correctly identified several robust responses. This adds confidence to our approach used for identifying candidate biomarkers. Specifically, we propose that analyses of an nm23 gene together with zona pellucida genes may increase the possibilities to detect an exposure to low levels of estrogenic compounds in fish.

fish

gene expression changes

estrogen

exposed

Författare

Lina-Maria Gunnarsson

Göteborgs universitet

Erik Kristiansson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Lars Förlin

Göteborgs universitet

Olle Nerman

Chalmers, Matematiska vetenskaper, matematisk statistik

Göteborgs universitet

D. G. Joakim Larsson

Göteborgs universitet

BMC Genomics

1471-2164 (ISSN)

Vol. 8

Ämneskategorier

Biologiska vetenskaper

MEDICIN OCH HÄLSOVETENSKAP

Zoologi

DOI

10.1186/1471-2164-8-149