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辣椒对植物激素诱导信号响应的综合转录组资源

Comprehensive transcriptome resource for response to phytohormone-induced signaling in Capsicum annuum L.

作者信息

Lee Junesung, Nam Jae-Young, Jang Hakgi, Kim Nayoung, Kim Yong-Min, Kang Won-Hee, Yeom Seon-In

机构信息

Department of Agricultural Plant Science, Division of Applied Life Science (BK21), Gyeongsang National University, Jinju, 52828, Republic of Korea.

Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Republic of Korea.

出版信息

BMC Res Notes. 2020 Sep 18;13(1):440. doi: 10.1186/s13104-020-05281-1.

Abstract

OBJECTIVES

Phytohormones are small signaling molecules with crucial roles in plant growth, development, and environmental adaptation to biotic and abiotic stress responses. Despite several previously published molecular studies focused on plant hormones, our understanding of the transcriptome induced by phytohormones remains unclear, especially in major crops. Here, we aimed to provide transcriptome dataset using RNA sequencing for phytohormone-induced signaling in plant.

DATA DESCRIPTION

We used high-throughput RNA sequencing profiling to investigate the pepper plant response to treatment with four major phytohormones (salicylic acid, jasmonic acid, ethylene, and abscisic acid). This dataset yielded 78 samples containing three biological replicates per six different time points for each treatment and the control, constituting 187.8 Gb of transcriptome data (2.4 Gb of each sample). This comprehensive parallel transcriptome data provides valuable information for understanding the relationships and molecular networks that regulate the expression of phytohormone-related genes involved in plant developments and environmental stress adaptation.

摘要

目的

植物激素是一类小分子信号分子,在植物生长、发育以及对生物和非生物胁迫反应的环境适应过程中发挥着关键作用。尽管此前已有多项分子研究聚焦于植物激素,但我们对植物激素诱导的转录组的了解仍不清晰,尤其是在主要农作物中。在此,我们旨在通过RNA测序提供植物激素诱导信号传导的转录组数据集。

数据描述

我们使用高通量RNA测序分析来研究辣椒植株对四种主要植物激素(水杨酸、茉莉酸、乙烯和脱落酸)处理的反应。该数据集产生了78个样本,每种处理和对照在六个不同时间点各有三个生物学重复,构成了187.8Gb的转录组数据(每个样本2.4Gb)。这一全面的平行转录组数据为理解调控参与植物发育和环境胁迫适应的植物激素相关基因表达的关系和分子网络提供了有价值的信息。

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