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

Publication Overview
TitleTranscriptome analysis of root response to citrus blight based on the newly assembled Swingle citrumelo draft genome
AuthorsZhang Y, Barthe G, Grosser JW, Wang N
TypeJournal Article
Journal NameBMC genomics
Volume17
Issue1
Year2016
Page(s)485
CitationZhang Y, Barthe G, Grosser JW, Wang N. Transcriptome analysis of root response to citrus blight based on the newly assembled Swingle citrumelo draft genome. BMC genomics. 2016; 17(1):485.

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 (R(2) = 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.

Features
This publication contains information about 1 features:
Feature NameUniquenameType
Cp0741Cp0741genetic_marker
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
Publication Date2016
Journal AbbreviationBMC Genomics
DOI10.1186/s12864-016-2779-y
Elocation10.1186/s12864-016-2779-y
Journal CountryEngland
LanguageEnglish
Language Abbreng
Publication TypeJournal Article