Peroxisomal proteomics: biomonitoring in mussels after the Prestige's oil spill.
Peroxisomal proteomics was applied to assess possible biological effects after the Prestige's oil spill. Mussels were sampled in July 2004 and 2005 in four stations in the NW (closest to the spill) and NE coasts of the Iberian Peninsula. Principal components analysis (PCA) suggested differences in protein expression among stations and sampling years. Several proteins were putatively identified by mass spectrometry and immunolocalization. PC1 separated the NW stations in 2004 from the rest of the stations and sampling years mainly due to up-regulation of peroxisomal beta-oxidation proteins and PMP70. PC3 separated the NE stations, based on up-regulation of the antioxidant enzyme catalase in 2004 compared to 2005. PC4 separated the stations in the NE and the NW. This work shows that environmental proteomics, together with multivariate data analysis, could provide information to interpret the effects of oil spills at cellular level in mussels.
Apraiz
Itxaso
I
Department of Biochemistry and Biophysics, The Arrhenius Laboratories for Natural Sciences, Stockholm University, SE-106 91 Stockholm, Sweden.
Cajaraville
Miren P
MP
Cristobal
Susana
S
D000818:Animals; D001267:Atlantic Ocean; D015415:Biomarkers / Q000378:metabolism; D004784:Environmental Monitoring / Q000379:methods*; D049878:Mytilus / Q000196:embryology / Q000378:metabolism*; D020675:Peroxisomes / Q000378:metabolism*; D010578:Petroleum / Q000032:analysis*; D025341:Principal Component Analysis; D011506:Proteins / Q000378:metabolism; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics; D012623:Seawater / Q000737:chemistry; D014874:Water Pollutants, Chemical / Q000032:analysis*
D015415:Biomarkers; D010578:Petroleum; D011506:Proteins; D020543:Proteome; D014874:Water Pollutants, Chemical