The raw data was converted to FastQ files containing 72-bp reads. Quality control was performed using the NGS QC Toolkit v2.3.3 [52 (link)]. Initially, high-quality reads (Phred quality score ≥ 20 in at least 75% of bases) and reads with more than 60 bases were selected. Subsequently, reads were trimmed at the 3′ end for the removal of barcodes.
Transcriptome Analysis of Leaf and Floret Samples
The raw data was converted to FastQ files containing 72-bp reads. Quality control was performed using the NGS QC Toolkit v2.3.3 [52 (link)]. Initially, high-quality reads (Phred quality score ≥ 20 in at least 75% of bases) and reads with more than 60 bases were selected. Subsequently, reads were trimmed at the 3′ end for the removal of barcodes.
Variable analysis
- Leaf samples
- Floret samples
- RNA-seq data
- CDNA library construction using TruSeq RNA Sample Preparation Kit
- Library quality confirmation using Agilent 2100 Bioanalyzer
- Library quantification using quantitative real-time PCR (qPCR)
- Clustering performed using TruSeq Paired-End Cluster Kit on a cBot
- Paired-end sequencing on Illumina Genome Analyzer IIx Platform with TruSeq SBS 36-Cycle kits
- Quality control using NGS QC Toolkit v2.3.3 (selection of high-quality reads and trimming of barcodes)
- No biological replicates for floret libraries
- Three biological replicates for 18 leaf libraries from six different accessions
Annotations
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