Transcriptome analysis of a medicinal plant, Pistacia chinensis

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Title
Transcriptome analysis of a medicinal plant, Pistacia chinensis
Author(s)
K Y Choi; D H Park; E S Seong; Sang Woo Lee; J Hang; L W Yi; J H Kim; J K Na
Bibliographic Citation
Journal of Plant Biotechnology, vol. 46, no. 4, pp. 274-281
Publication Year
2019
Abstract
Pistacia chinensis Bunge has not only been used as a medicinal plant to treat various illnesses but its young shoots and leaves have also been used as vegetables. In addition, P. chinensis is used as a rootstock for Pistacia vera (pistachio). Here, the transcriptome of P. chinensis was sequenced to enrich genetic resources and identify secondary metabolite biosynthetic pathways using Illumina RNA-seq methods. De novo assembly resulted in 18,524 unigenes with an average length of 873 bp from 19 million RNA-seq reads. A Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation tool assigned KO (KEGG orthology) numbers to 6,553 (36.2%) unigenes, among which 4,061 unigenes were mapped into 391 different metabolic pathways. For terpenoid backbone and carotenoid biosynthesis pathways, 44 and 22 unigenes encode enzymes corresponding to 30 and 16 entries, respectively. Twenty-two unigenes encode proteins for 16 entries of the carotenoid biosynthesis pathway. As for the phenylpropanoid and flavonoid biosynthesis pathways, 63 and 24 unigenes were homologous to 17 and 14 entry proteins, respectively. Mining of simple sequence repeat identified 2,599 simple sequence repeats from P. chinensis unigenes. The results of the present study provide a valuable resource for in-depth studies on comparative and functional genomics to unravel the underlying mechanisms of the medicinal properties of Pistacia L. ⓒ Korean Society for Plant Biotechnology
Keyword
Medicinal plantPistaciaTranscriptome
ISSN
1229-2818
Publisher
Korea Soc-Assoc-Inst
DOI
http://dx.doi.org/10.5010/JPB.2019.46.4.274
Type
Article
Appears in Collections:
Ochang Branch Institute > Division of Bioinfrastructure > International Biological Material Research Center > 1. Journal Articles
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