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Established clones were then individually tested for stable differences in mito-YFP fluorescence.
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Single-cell clones were grown for 60 days without antibiotics to test for stable overexpression.
To deal with this unbalanced design, we tested for differences in stable isotopic signatures among ectoparasite species and host tissues (blood and feathers) by applying a linear mixed model (LMM) using the restricted maximum likelihood (REML) estimation method.
Parameters for individual trees were tested for clonal differences.
The data were tested for statistical differences by student test.
To examine the extent of geographic variation in stable isotope signatures, we tested for differences in carbon and nitrogen mean isotope values among breeding localities and between regions in each ectoparasite species and host tissue using univariate ANOVA.
First, we tested for marginal group differences.
Subject characteristics were tested for differences via Student-t testing.
To test for spatial differences in stable isotope signatures across the study area, we first restricted the analysis to three localities with greater samples sizes (St. Maria, Lanzarote and Eivissa; see above).
Data were tested for difference and averaged.
LIMMA uses an empirical Bayes approach that uses the variability in all genes for testing for signficiant differences, with this approach resulting in more stable inferences for a relatively small number of arrays [12], [13].
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