Deep sequencing-based characterization of transcriptome of trifoliate orange (Poncirus trifoliata (L.) Raf.) in response to cold stress

Publication Overview
TitleDeep sequencing-based characterization of transcriptome of trifoliate orange (Poncirus trifoliata (L.) Raf.) in response to cold stress
AuthorsWang M, Zhang X, Liu JH
TypeJournal Article
Journal NameBMC genomics
Volume16
Year2015
Page(s)555
CitationWang M, Zhang X, Liu JH. Deep sequencing-based characterization of transcriptome of trifoliate orange (Poncirus trifoliata (L.) Raf.) in response to cold stress. BMC genomics. 2015; 16:555.

Abstract

BACKGROUND
Trifoliate orange (Poncirus trifoliata (L.) Raf.) is extremely cold hardy after a full acclimation; however the underlying molecular mechanisms underlying this economically valuable trait remain poorly understood. In this study, global transcriptome profiles of trifoliate orange under cold conditions (4 °C) over a time course were generated by high-throughput sequencing.

RESULTS
More than 68 million high-quality reads were produced and assembled into a non-redundant data of 77,292 unigenes with an average length of 1112 bp (N50 = 1778 bp). Of these, 23,846 had significant sequence similarity to known genes and these were assigned to 61 gene ontology (GO) categories and 25 clusters of orthologous groups (COG) involved in 128 KEGG pathways. Sequences derived from cold-treated and control plants were mapped to the assembled transcriptome, resulting in the identification of 5549 differentially expressed genes (DEGs). These comprised 600 (462 up-regulated, 138 down-regulated), 2346 (1631 up-regulated, 715 down-regulated), and 5177 (2702 up-regulated, 2475 down-regulated) genes from the cold-treated samples at 6, 24 and 72 h, respectively. The accuracy of the RNA-seq derived transcript expression data was validated by analyzing the expression patterns of 17 DEGs by qPCR. Plant hormone signal transduction, plant-pathogen interaction, and secondary metabolism were the most significantly enriched GO categories amongst in the DEGs. A total of 60 transcription factors were shown to be cold responsive. In addition, a number of genes involved in the catabolism and signaling of hormones, such as abscisic acid, ethylene and gibberellin, were affected by the cold stress. Meanwhile, levels of putrescine progressively increased under cold, which was consistent with up-regulation of an arginine decarboxylase gene.

CONCLUSIONS
This dataset provides valuable information regarding the trifoliate orange transcriptome changes in response to cold stress and may help guide future identification and functional analysis of genes that are importnatn for enhancing cold hardiness.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
Publication Date2015
Journal AbbreviationBMC Genomics
DOI10.1186/s12864-015-1629-7
Elocation10.1186/s12864-015-1629-7
Journal CountryEngland
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Cross References
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DatabaseAccession
PMID: PubMedPMID:26219960