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

Overview of attention for article published in BMC Genomics, July 2015
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Title
Deep sequencing-based characterization of transcriptome of trifoliate orange (Poncirus trifoliata (L.) Raf.) in response to cold stress
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1629-7
Pubmed ID
Authors

Min Wang, Xiaona Zhang, Ji-Hong Liu

Abstract

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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Argentina 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 8 19%
Student > Master 6 14%
Student > Bachelor 2 5%
Professor 2 5%
Other 4 9%
Unknown 12 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 56%
Biochemistry, Genetics and Molecular Biology 4 9%
Unspecified 1 2%
Earth and Planetary Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 12 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 July 2015.
All research outputs
#17,766,929
of 22,818,766 outputs
Outputs from BMC Genomics
#7,567
of 10,653 outputs
Outputs of similar age
#176,876
of 263,426 outputs
Outputs of similar age from BMC Genomics
#198
of 242 outputs
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