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The total number of tested conditions was 67, each performed in up to six, separate, biological replicates using a total of 258 Affymetrix arrays.
The relative expression values were calculated from three biological replicates using a modified 2-ΔΔCT method [ 89].
Transcript abundance was measured from three technical and four biological replicates using a LightCycler 480 II (Roche).
ANOVA of four biological replicates using a p < 0.05 was performed with Bioconductor/R software using MAS background correction, quantiles normalization, MAS PM correction, and MAS summary.
Statistical analyses were performed on three biological replicates using a one-tailed t-test (Prism, GraphPad) with significance levels of * P < 0 0.05, ** P < 0.01, and *** P < 0.001.
Statistical analyses were performed for all reactions of three biological replicates using a one-tailed t test (Prism, GraphPad) with * p < 0 0.05, ** p < 0.01 and *** p < 0.001.
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To identify specific genes whose expression levels vary reproducibly across life cycle stages, we performed differential expression analysis across all 24 stages that had biological replicates using an ANOVA-like GLM approach (McCarthy et al. 2012).
To verify data quality, we calculated the correlation between biological replicates using read counts in a 2 kilobase region around the transcription start sites of annotated genes (−1000 bp to +1000 bp).
For gene expression analyses, qPCR was performed with three independent biological replicates using SYBR PrimeScript RT-PCR KiTaKaRaaRa, Dalian, China) in a 25 μL volume on a CFX96 Real-time System (Bio-Rad, Hercules, CA, USA).
Each hypoxic time point was analyzed with at least three biological replicates using high density oligonucleotide microarrays with a minimum of four on-chip replicates (NCBI/GEO accession number GSE9331).
Expression was determined for triplicate biological replicates using the ΔΔCt method, referenced to a eIF4a endogenous control gene (GSVIV gene model, GSVIVP00034135001) for leaf and berry comparisons or to an actin 7 endogenous control gene (NCBI locus ID, LOC 100232968) for shoot and root comparisons [ 97].
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