De novo transcriptome analysis of Viola ×wittrockiana exposed to high temperature stress

Autoři: Xiaohua Du aff001;  Xiaopei Zhu aff001;  Yaping Yang aff001;  Yanli Wang aff001;  Paul Arens aff003;  Huichao Liu aff001
Působiště autorů: School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, Henan, China aff001;  Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, Henan, China aff002;  Wageningen University & Research, Wageningen, The Netherlands aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222344


Around the world, pansies are one of the most popular garden flowers, but they are generally sensitive to high temperatures, and this limits the practicality of planting them during the warmest days of the year. However, a few pansy germplasms with improved heat tolerance have been discovered or bred, but the mechanisms of their heat resistance are not understood. In this study, we investigated the transcript profiles of a heat-tolerant pansy inbred line, DFM16, in response to high temperatures using RNAseq. Approximately 55.48 Gb of nucleotide data were obtained and assembled into 167,576 unigenes with an average length of 959 bp, of which, 5,708 genes were found to be differentially expressed after heat treatments. Real-time qPCR was performed to validate the expression profiles of the selected genes. Nine metabolic pathways were found to be significantly enriched, in the analysis of the differentially expressed genes. Several potentially interesting genes that encoded putative transcription regulators or key components involving heat shock protein (HSP), heat shock transcription factors (HSF), and antioxidants biosynthesis, were identified. These genes were highlighted to indicate their significance in response to heat stress and will be used as candidate genes to improve pansy heat-tolerance in the future.

Klíčová slova:

Cellular stress responses – DNA-binding proteins – Gene expression – Heat shock response – Heat treatment – Metabolic processes – Sequence databases – Thermal stresses


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