Additional file 2: of Individual odour signatures that mice learn are shaped by involatile major urinary proteins (MUPs)

Datasets from behavioural recognition tests in Figs. 1, 2 and 3. Time spent under male and female stimuli for each test and replicate together with summary data and statistical comparison. (XLS 67 kb

Additional file 3: of Individual odour signatures that mice learn are shaped by involatile major urinary proteins (MUPs)

GC-MS analysis used for Fig. 6. Peak areas and principal component scores for the four male-specific volatiles measured from BALB/c urine, C57BL/6 urine and BALB/c urine + r-darcin. (XLS 31 kb

Additional file 1: of Individual odour signatures that mice learn are shaped by involatile major urinary proteins (MUPs)

Intact mass spectra and GC-MS data from trios of wild male brothers used for Figs. 4 and 5. Figure 4AB tab provides intact mass spectra (expressed as proportion of highest peak) for each male according to sib group and genotype. Figure 4CD tab provides areas for 134 volatiles peaks (expressed as % total peak area) and principal component analysis. (XLS 232 kb

Additional file 1: of Sperm competition risk drives plasticity in seminal fluid composition

A summary of the proteomics data analysis from Progenesis QI with abundances normalized using all 383 proteins. Progenesis QI html report file for the proteins identified and quantified across the four treatment groups. At the top of the file is a summary table of the protein-level average normalised abundances, ranked according to Mascot protein database search score. This is followed by peptide-level abundances, in tabular form, for each protein, on a protein-by-protein basis. Data are split by treatment groups according to high or low sperm competition risk. At the bottom of the report file are plots summarizing the between treatment group abundance data, at protein level. Those proteins ‘tagged’ with a red or green circle are those that were significantly changing in abundance between the treatment groups, according to ANOVA tests at p < 0.05 or p < 0.01 (respectively). Also included are the Top3 protein abundances, normalised to all proteins, in a .csv file. (DOC 21 kb

Additional file 2: of Sperm competition risk drives plasticity in seminal fluid composition

A summary of the proteomics data analysis from Progenesis QI with abundances normalised using only 31 ejaculated proteins. Progenesis QI html report file for the proteins identified and quantified across the four treatment groups. At the top of the file is a summary table of the protein-level average normalised abundances, ranked according to Mascot protein database search score. This is followed by peptide-level abundances, in tabular form, for each protein, on a protein-by-protein basis. Data are split by treatment groups according to high or low sperm competition risk, and high or low potential mating rate. At the bottom of the report file are plots summarizing the between treatment group abundance data, at protein level. Those proteins ‘tagged’ with a red or green circle are those that were significantly changing in abundance between the treatment groups, according to ANOVA tests at p < 0.05 or p < 0.01 (respectively). Also included are the Top3 protein abundances, normalised to the 31 ejaculated proteins, in a .csv file. (DOC 21 kb