Discovery of putative capsaicin biosynthetic genes by RNA-Seq and digital gene expression analysis of pepper

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作者
Zi-Xin Zhang
Shu-Niu Zhao
Gao-Feng Liu
Zu-Mei Huang
Zhen-Mu Cao
Shan-Han Cheng
Shi-Sen Lin
机构
[1] Key Laboratory of Protection and Development Utilization,
[2] Tropical Crop Germplasm Resources (Hainan University),undefined
[3] Ministry of Education,undefined
[4] Haikou 570228,undefined
[5] China ,undefined
[6] Tropical Crops Genetic Resources Institute,undefined
[7] Chinese Academy of Tropical Agricultural Sciences/Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China,undefined
[8] Ministry of Agriculture,undefined
[9] College of Horticulture and Landscape,undefined
[10] Hainan University,undefined
[11] College of Horticulture,undefined
[12] Nanjing Agricultural University,undefined
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摘要
The Indian pepper ‘Guijiangwang’ (Capsicum frutescens L.), one of the world’s hottest chili peppers, is rich in capsaicinoids. The accumulation of the alkaloid capsaicin and its analogs in the epidermal cells of the placenta contribute to the pungency of Capsicum fruits. To identify putative genes involved in capsaicin biosynthesis, RNA-Seq was used to analyze the pepper’s expression profiles over five developmental stages. Five cDNA libraries were constructed from the total RNA of placental tissue and sequenced using an Illumina HiSeq 2000. More than 19 million clean reads were obtained from each library, and greater than 50% of the reads were assignable to reference genes. Digital gene expression (DGE) profile analysis using Solexa sequencing was performed at five fruit developmental stages and resulted in the identification of 135 genes of known function; their expression patterns were compared to the capsaicin accumulation pattern. Ten genes of known function were identified as most likely to be involved in regulating capsaicin synthesis. Additionally, 20 new candidate genes were identified related to capsaicin synthesis. We use a combination of RNA-Seq and DGE analyses to contribute to the understanding of the biosynthetic regulatory mechanism(s) of secondary metabolites in a nonmodel plant and to identify candidate enzyme-encoding genes.
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