SAS® version 9.1 (Cary, NC, USA) was used to create the datasets and analyze them; graphs were made using Microsoft Excel®.
All graphics and statistics were made with Excel 2008, except Passing-Bablok regression [ 23] and Bland-Altman plot [ 24], which were made using Analyze-it V2.26.
Data were analyzed in R. Heat maps were made using the heatmap.2 function from the gplots package, principal component analysis was calculated using the prcomp function and plotted with the plot function.
A reference gene, At1g13320, was used to normalize the qPCR data [ 74]. qPCR data was analyzed using CFX96 software and graphs were made using Prism.
To determine what components of the crude oil were released into the WAF mixture and thus exposed to the embryos during experimental treatments, WAF samples were analyzed within one hour of being made using solid phase microextraction (SPME, 100 mm polydimethylsiloxane) and gas chromatography mass spectrometry (GCMS, Agilent 7890A GC/5975C MSD).
Tracking was made using Fiji MTrackJ plug-in and analyzed using ImageJ Chemotaxis Tool plug-in.
Graphs have been made using GraphPad Prism 4 (GraphPad Software, San Diego, CA) and analyzed using ANOVA.
Reaction mixtures for each of the samples to be analyzed were made up using the following components: 1× standard iTaq™ Universal Syber®-green (BIO-RAD), 0.05 µg/µl of anchored primer (ACX primer) (5′-GCGCGG (CTTACC) 3CTAACC-3′), 0.1 µg/µl of telomerase primer (TS Primer) (5′-AATCCGTCGAGCAGAGTT-3′), and 250 ng/µl of protein samples.
Because the initial filament width or on-state resistance (R on) has a significant impact on the reset transition process and there is an analytical correlationship between the Weibull slopes of reset parameters' distributions and CF size or R on [33, 34], this relationship could be made use of to analyze the filament microstructure evolution.
The results described above were corroborated by statistical analyzes made using the MedCalc software, version 12.2.1 (MedCalc Software, Mariakerke, Belgium).
