No abstract

We evaluated the suitability of high-throughput proteomic methods to monitor terrestrial ecosystems. Free-living Mus spretus from three sites along the "Domingo Rubio" (DR) stream were compared with mice from Doñana Biological Reserve ("Santa Olalla" lagoon (SOL) negative control), using specimens from an industrial settlement (phosphogypsum stacks (PS)) and rice fields ("Matochal" rice fields (ARZ)) as positive controls. Our 2-DE analysis showed 36 spots with significantly altered expression. Sixteen were identified by MALDI-TOF-PMF and peptide matching with Mus musculus databases. Identified proteins play different roles: cytoskeletal dynamics, proteolysis, biotransformation, oxidative-stress adaptation, and metabolism. Animals from different polluted environments showed contrasting differences in their proteomes, with specific increases and decreases in selected groups of proteins that seem to be co-ordinately regulated. Proteomic data were consistent with metal biomonitoring and conventional biomarker responses, indicating that DR (and PS/ARZ) animals sustained a heavier pollutant burden than SOL specimens and suffered a chronic oxidative stress. Whereas some protein expression differences may protect mice from pollutant toxicity, others should make them more susceptible. Transcript expression signatures agree with the documented lack of correlation between mRNA and protein levels. Nonetheless, a positive significant correlation was found between the gpx1 mRNA molecules and the intensity of one of the two identified GPX1 isospots.