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Title 

De novo transcriptome sequencing and gene expression profiling of sweet potato leaves during low temperature stress and recovery

Authors 

Chang Yoon JiX BianChan-Ju LeeHo Soo KimSo-Eun KimSung-Chul ParkY XieX GuoSang Soo Kwak

Publisher 

Elsevier

Issue Date 

2019

Citation 

Gene

Keywords 

CBFDifferentially expressed genesLow temperatureSweetpotatoTranscriptome

Abstract 

Sweetpotato [Ipomoea batatas (L.) Lam] is an important crop used for food, animal feed, and production of industrial materials. Although it is adapted to a wide range of unfavorable conditions, including drought and high salt, sweetpotato is vulnerable to low temperature, making it difficult to cultivate in low temperature regions. To understand the molecular responses occurring in sweetpotato leaves under low temperature stress, de novo transcriptome assembly was performed in leaves under low temperature stress (LT) and during recovery (RC). In comparison with non-treated controls (NT), 2461 and 1017 differentially expressed genes (DEGs) were identified in LT and RC leaves, respectively. When expression in RC and LT samples was directly compared, 2053 DEGs were detected. To increase understanding of the DEGs, the three datasets were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genome (KEGG) database. The CBF transcriptional cascade, a well-known cold response pathway, was investigated using transcriptomic analysis. In contrast with reports from the cold-tolerant Arabidopsis thaliana, none of the COR genes identified in sweetpotato showed increased expression in response to low temperature. Genes involved in antioxidant enzyme pathways mediating responses to reactive oxygen species (ROS) were investigated during low temperature response. This work provides insight into the molecular basis of the responses of sweetpotato to cold stress. This increased understanding of gene regulation in response to cold stress in sweetpotato will be beneficial for future research into molecular-assisted breeding.

URI 

https://doi.org/10.1016/j.gene.2019.02.097

ISSN 

0378-1119

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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