Dataset of a de novo transcriptome assembly for the leaves and rhizomes of a five-year-old Atractylodes chinensis

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-28 DOI:10.1016/j.dib.2025.111530

Yelin Tian , Lizhi Ouyang , Xinyu Li , Li Xiao , Xu Qiao , Yixuan Chen , Tingting Fang , Yimian Ma

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引用次数: 0

Abstract

Atractylodes (A.) chinensis (DC.) Koidz. is a traditional Chinese medicinal plant. The rhizome contains its medicinal component, which consists of abundant essential oils. Sesquiterpene and atractylodin are the main active ingredients in these essential oils. On the other hand, the leaves contain less medicinal active ingredients. Thus far, studies on the formation mechanism of the active ingredients, especially atractylodin, are still limited. This study used RNA sequencing to reveal the de novo transcriptome of the leaves and rhizomes of a five-year old A. chinensis plant with divided leaves. High-throughput sequencing data was acquired using the Illumina NovaSeq X Plus system (Illumina, USA) in PE150 mode. After the data was corrected and filtered, the clean data was used for subsequent analysis. Based on the assembled sequence file, the differentially expressed unigenes between the rhizomes and leaves of A. chinensis were analyzed. The assembled unigene file and table including these differentially expressed unigenes was deposited in the “Mendeley Data” database. The raw SRA data was deposited in the National Center of Biotechnology Information (NCBI) Sequence Read Archive (SRA) database.

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五岁白术叶片和根茎的全新转录组数据集

白术（A. ）chinensis (DC.) Koidz.是一种传统的中药植物。白术的根茎含有药用成分，其中包括丰富的精油。这些精油的主要有效成分是倍半萜和苍术素。另一方面，叶片中的药用活性成分较少。到目前为止，有关活性成分（尤其是苍术素）形成机制的研究还很有限。本研究利用 RNA 测序技术揭示了一株五年生分叶苍术叶片和根茎的新转录组。在 PE150 模式下，使用 Illumina NovaSeq X Plus 系统（Illumina，美国）获取高通量测序数据。数据经过校正和过滤后，干净的数据被用于后续分析。根据组装好的序列文件，分析了五倍子根茎和叶片之间差异表达的单基因。组装好的单基因文件和包括这些差异表达单基因的表格被保存在 "Mendeley Data "数据库中。原始的 SRA 数据存放在美国国家生物技术信息中心（NCBI）的序列读取档案（SRA）数据库中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.