The Expectation Maximization (RSEM) was used to map the transcripts to reference unigenes via RNA-seq. The read count numbers were calculated and translated to FPKM (fragments per kilobase of transcript per million mapped reads) gene values [51 (link)]. DESeq was used for analysing differentially expressed genes (DEGs) [52 (link)]. We used FDR ≤ 0.05 and |log2Fold > Change| ≥ 1 as threshold for screening DEGs. All identified DEGs were mapped to gene ontology (GO) and Tokyo Encyclopedia of Genes and Genomes (KEGG) databases. The significantly enriched biochemical pathways were obtained using KOBAS with corrected P-value ≤0.05.
Transcriptomic Analysis of Leaf RNA Responses
The Expectation Maximization (RSEM) was used to map the transcripts to reference unigenes via RNA-seq. The read count numbers were calculated and translated to FPKM (fragments per kilobase of transcript per million mapped reads) gene values [51 (link)]. DESeq was used for analysing differentially expressed genes (DEGs) [52 (link)]. We used FDR ≤ 0.05 and |log2Fold > Change| ≥ 1 as threshold for screening DEGs. All identified DEGs were mapped to gene ontology (GO) and Tokyo Encyclopedia of Genes and Genomes (KEGG) databases. The significantly enriched biochemical pathways were obtained using KOBAS with corrected P-value ≤0.05.
Corresponding Organization : Northeast Agricultural University
Other organizations : Nanjing Agricultural University, Purdue University West Lafayette
Variable analysis
- Cultivar (2 cultivars)
- Treatment (3 treatments)
- Gene expression (measured as FPKM)
- Differentially expressed genes (DEGs)
- Biological replicates (3 replicates per cultivar-treatment combination)
- No positive or negative controls were explicitly mentioned.
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