Transcriptome dataset of two Pistacia species: Pistacia chinensis and Pistacia weinmannifolia

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Title
Transcriptome dataset of two Pistacia species: Pistacia chinensis and Pistacia weinmannifolia
Author(s)
A B Suliyat; D K Anggita; H S Yang; Sang Woo Lee; W Y Li; Sangho Choi; K Y Choi; J K Na
Bibliographic Citation
Data in Brief, vol. 52, pp. 110002-110002
Publication Year
2024
Abstract
Pistacia chinensis and Pistacia weinmannifolia are small trees and are distributed in East Asia, in particular China. The data on P. chinensis presented in this article is associated with the research article, “DOI: 10.5010/JPB.2019.46.4.274” [1]. Both P. chinensis and P. weinmannifolia have long been used as ethnobotanical plants to treat various illnesses, including dysentery, inflammatory swelling, rheumatism, liver diseases, influenza, lung cancer, etc. Many studies have been carried out to delve into the pharmaceutical properties of these Pistacia species using plant extracts, but genomic studies are very rarely performed to date. To enrich the genetic information of these two species, RNA sequencing was conducted using a pair-end Illumina HiSeq2500 sequencing system, resulting in 2.6 G of raw data from P. chinensis (Accession no: SRR10136265) and 2.7 G bases from P. weinmannifolia (Accession no: SRR10136264). Transcriptome shotgun assembly using three different assembly tools generated a total of 18,524 non-redundant contigs (N50, 1104 bp) from P. chinensis and 18,956 from P. weinmannifolia (N50, 1137 bp). The data is accessible at NCBI BioProject: PRJNA566127. These data would be crucial for the identification of genes associated with the compounds exerting pharmaceutical properties and also for molecular marker development.
Keyword
EthnobotanicalIllumina HiSeq2500RNA-seqSmall treeTranscriptome shotgun assembly
ISSN
2352-3409
Publisher
Elsevier
Full Text Link
http://dx.doi.org/10.1016/j.dib.2023.110002
Type
Article
Appears in Collections:
Ochang Branch Institute > Division of National Bio-Infrastructure > International Biological Material Research Center > 1. Journal Articles
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