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Additional file 14: of Transcriptome profiling of litchi leaves in response to low temperature reveals candidate regulatory genes and key metabolic events during floral induction

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posted on 2017-05-10, 05:00 authored by Hongna Zhang, Jiyuan Shen, Yongzan Wei, Houbin Chen
RT-qPCR verification of differential expression. The figure shows transcript levels of 14 genes, of which 6 probably associated with transcription factors (A) and 8 with flowering-related genes (B) under 15 °C (black) and 25 °C (white) treatment by comparing of RT-qPCR data (bar) with RNA-seq data (line). The relative RT-qPCR expression level is shown on the y-axis to the left, bars represent the standard error (n = 3), and the normalized expression level (RPKM) of RNA-seq is indicated on the y-axis to the right. Actin was used as the internal control. (C) Coefficient analysis between gene expression ratios obtained from RNA-seq data and RT-qPCR. The RT-qPCR log2 expression ratios (x-axis) were plotted against RNA-seq data ratios (y-axis). (PDF 160 kb)

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China Agricultural Research Service Fund

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