Transcriptome analysis of root response to citrus blight based on the newly assembled Swingle citrumelo draft genome

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Abstract

Background: Citrus blight is a citrus tree overall decline disease and causes serious losses in the citrus industry worldwide. Although it was described more than one hundred years ago, its causal agent remains unknown and its pathophysiology is not well determined, which hampers our understanding of the disease and design of suitable disease management. Results: In this study, we sequenced and assembled the draft genome for Swingle citrumelo, one important citrus rootstock. The draft genome is approximately 280 Mb, which covers 74 % of the estimated Swingle citrumelo genome and the average coverage is around 15X. The draft genome of Swingle citrumelo enabled us to conduct transcriptome analysis of roots of blight and healthy Swingle citrumelo using RNA-seq. The RNA-seq was reliable as evidenced by the high consistence of RNA-seq analysis and quantitative reverse transcription PCR results (R2 = 0.966). Comparison of the gene expression profiles between blight and healthy root samples revealed the molecular mechanism underneath the characteristic blight phenotypes including decline, starch accumulation, and drought stress. The JA and ET biosynthesis and signaling pathways showed decreased transcript abundance, whereas SA-mediated defense-related genes showed increased transcript abundance in blight trees, suggesting unclassified biotrophic pathogen was involved in this disease. Conclusions: Overall, the Swingle citrumelo draft genome generated in this study will advance our understanding of plant biology and contribute to the citrus breeding. Transcriptome analysis of blight and healthy trees deepened our understanding of the pathophysiology of citrus blight.

Figures

  • Table 1 Overview of the draft assembly of Swingle citrumelo
  • Table 2 Overview of mapped RNA-seq reads using Tophat2
  • Table 3 The enriched GO terms and plant GO SLIM terms in the differentially expressed genes (DEGs) in the blight trees compared to healthy tree revealed by Blast2GO
  • Fig. 1 Differentially expressed genes associated with metabolic processes (blight vs. healthy). The figure was generated using MapMan software. Blue denotes down-regulated genes, and red denotes up-regulated genes. The log2-fold change in the transcript levels was used for the analysis
  • Fig. 2 Differentially expressed genes associated with starch and sucrose metabolism (blight vs. healthy). The figure was generated using MapMan software. Blue denotes down-regulated genes, and red denotes up-regulated genes (Blight vs. Healthy). The log2-fold change in the transcript levels was used for the analysis
  • Fig. 3 The JA synthesis pathway was repressed in blight trees. Blue denotes down-regulated genes, and red denotes up-regulated genes (Blight vs. Healthy). The figure was generated using MapMan software. The log2-fold change in the transcript levels was used for the analysis
  • Fig. 4 RT-qPCR validation of differentially expressed genes. The log2FC values from the RNA-seq results are displayed on the x-axis, and the values from the RT-qPCR are displayed on the y-axis. The high R2 (0.966) indicates the results from the RT-qPCR and RNA-seq are consistent

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APA

Zhang, Y., Barthe, G., Grosser, J. W., & Wang, N. (2016). Transcriptome analysis of root response to citrus blight based on the newly assembled Swingle citrumelo draft genome. BMC Genomics, 17(1). https://doi.org/10.1186/s12864-016-2779-y

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