No abstract

We evaluated whether quantitation of mRNA molecules of key genes is a reliable biomonitoring end-point. We examined the Mus spretus expression levels of 19 transcripts encoding different cytochrome-P450s and glutathione transferases. Mice dwelling at the Doñana Biological Reserve were compared to those from an industrial settlement (PS). Metal biomonitoring indicated that PS animals sustained a heavier pollutant burden than those from the reference site. Transcript quantitations showed the following: (i) gender-related differences in the expression of most Cyp and Gst genes; (ii) one PS female displaying much smaller/larger transcript amounts than the remaining females; (iii) the concomitant up-regulation of Cyp1a2, Cyp2a5, Cyp2e1, Cyp4a10, Gsta1, Gsta2, Gstm1, and Gstm2 mRNAs in liver of PS males; and (iv) outstanding qualitative and quantitative differences between the hepatic expression signature of PS males and that promoted by paraquat. We conclude that (i) absolute amounts of transcripts encoding biotransformation enzymes are more potent biomarkers in males than in females, and in liver than in kidney; (ii) individual quantitations prevent biased interpretations by specimens with abnormal expression levels; and (iii)transcript expression signature of PS males is consistent with exposure to a complex profile of organic pollutants, other than oxidative stressors.

Biomonitoring requires the application of batteries of different biomarkers, as environmental contaminants induce multiple responses in organisms that are not necessarily correlated. Omic technologies were proposed as an alternative to conventional biomarkers since these techniques quantitatively monitor many biological molecules in a high-throughput manner and thus provide a general appraisal of biological responses altered by exposure to contaminants. As the studies using omic technologies increase, it is becoming clear that any single omic approach may not be sufficient to characterize the complexity of ecosystems. This work aims to provide a preliminary working scheme for the use of combined transcriptomic and proteomic methodologies in environmental biomonitoring. There are difficulties in working with nonmodel organisms as bioindicators when combining several omic approaches. As a whole, our results with heterologous microarrays in M. spretus and suppressive subtractive hybridization (SSH) in P. clarkii indicated that animals sustaining a heavy pollution burden exhibited an enhanced immune response and/or cell apoptosis. The proteomic studies, although preliminary, provide a holistic insight regarding the manner by which pollution shifts protein intensity in two-dimensional gel electrophoresis (2-DE), completing the transcriptomic approach. In our study, the sediment element concentration was in agreement with the intensity of protein expression changes in C. maenas crabs. In conclusion, omics are useful technologies in addressing environmental issues and the determination of contamination threats.

This work demonstrates the successful application of a commercial oligonucleotide microarray containing Mus musculus whole-genome probes to assess the biological effects of an industrial settlement on inhabitant Mus spretus mice. The transcriptomes of animals in the industrial settlement contrasted with those of specimens collected from a nearby protected ecosystem. Proteins encoded by the differentially expressed genes were broadly categorized into six main functional classes. Immune-associated genes were mostly induced and related to innate and acquired immunity and inflammation. Genes sorted into the stress-response category were mainly related to oxidative-stress tolerance and biotransformation. Metabolism-associated genes were mostly repressed and related to lipid metabolic pathways; these included genes that encoded 11 of the 20 cholesterol biosynthetic pathway enzymes. Crosstalk between members of different functional categories was also revealed, including the repression of serine-protease genes and the induction of protease-inhibitor genes to control the inflammatory response. Absolute quantification of selected transcripts was performed via RT-PCR to verify the microarray results and assess interindividual variability. Microarray data were further validated by immunoblotting and by cholesterol and protein-thiol oxidation level determinations. Reported data provide a broad impression of the biological consequences of residing in an industrial area.