Evaluation of single-cell gel electrophoresis data: Combination of variance analysis with sum of ranking differences

• Mussels were sampled at Kotorska Bay, Adriatic Sea, Montenegro to evaluate toxicity.
• DNA damage was assessed by the comet assay.
• Haemolymph, gills and digestive gland tissues were used.
• Three parameters, viz. tail length, tail intensity and Olive tail moment were analyzed.
• ANOVA and sum of ranking differences selected the best combinations of factors.

Specimens of the mussel Mytilus galloprovincialis were collected from five sites in the Boka Kotorska Bay (Adriatic Sea, Montenegro) during the period summer 2011–autumn 2012. Three types of tissue, haemolymph, digestive gland were used for assessment of DNA damage. Images of randomly selected cells were analyzed with a fluorescence microscope and image analysis by the Comet Assay IV Image-analysis system. Three parameters, viz. tail length, tail intensity and Olive tail moment were analyzed on 4200 nuclei per cell type. We observed variations in the level of DNA damage in mussels collected at different sites, as well as seasonal variations in response. Sum of ranking differences (SRD) was implemented to compare use of different types of cell and different measure of comet tail per nucleus. Numerical scales were transferred into ranks, range scaling between 0 and 1; standardization and normalization were carried out.SRD selected the best (and worst) combinations: tail moment is the best for all data treatment and for all organs; second best is tail length, and intensity ranks third (except for digestive gland). The differences were significant at the 5% level. Whereas gills and haemolymph cells do not differ significantly, cells of the digestive gland are much more suitable to estimate genotoxicity. Variance analysis decomposed the effect of different factors on the SRD values. This unique combination has provided not only the relative importance of factors, but also an overall evaluation: the best evaluation method, the best data pre-treatment, etc., were chosen even for partially contradictory data.The rank transformation is superior to any other way of scaling, which is proven by ordering the SRD values by SRD again, and by cross validation.

Effect of factors by variance analysis for sevenfold cross-validation of sum of ranking differences (raw SRD values are plotted on the y-axis; the smaller the better).Figure optionsDownload as PowerPoint slide