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Transcriptome dataset of two Pistacia species: Pistacia chinensis and Pistacia weinmannifolia
- Suliyat, Azeez Bimpe;
- Anggita, Dewi Komang;
- Yang, Hee Soo;
- Lee, Sang-Woo;
- Li, Wan Yi;
- ... Choi, Ki-Young;
- ... Na, Jong-Kuk;
- 외 1명
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0초록
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 eth-nobotanical plants to treat various illnesses, including dysen-tery, inflammatory swelling, rheumatism, liver diseases, in-fluenza, lung cancer, etc. Many studies have been carried out to delve into the pharmaceutical properties of these Pista -cia 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 us-ing a pair-end Illumina HiSeq2500 sequencing system, re-sulting in 2.6 G of raw data from P. chinensis (Accession no: SRR10136265) and 2.7 G bases from P. weinmannifolia (Acces-sion no: SRR10136264). Transcriptome shotgun assembly us-ing 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 ac-cessible 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. (c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
키워드
- 제목
- Transcriptome dataset of two Pistacia species: Pistacia chinensis and Pistacia weinmannifolia
- 저자
- Suliyat, Azeez Bimpe; Anggita, Dewi Komang; Yang, Hee Soo; Lee, Sang-Woo; Li, Wan Yi; Choi, Sang-Ho; Choi, Ki-Young; Na, Jong-Kuk
- 발행일
- 2024-02
- 유형
- Article; Data Paper
- 저널명
- Data in Brief
- 권
- 52