Single-nucleus transcriptomic data of susceptible and resistant tobacco stems after black shank infection

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-07-23 DOI:10.1016/j.dib.2026.113095
Xiaolin Lu, Zhijun Tong, Canhua Lu, Chen Tan, Hongyu Chen, Longjiang Fan, Bingguang Xiao
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引用次数: 0

Abstract

Black shank, caused by Phytophthora nicotianae, is a major disease in tobacco production. Previous transcriptomic work has used Nicotiana tabacum L. cv. Honghuadajinyuan (HD) as a susceptible tobacco material in black shank research. Presented here is a single-nucleus RNA sequencing (snRNA-seq) dataset generated from stem tissues of two tobacco accessions with contrasting responses to black shank, namely the susceptible cultivar HD and the black shank-resistant near-isogenic line HDR7 derived from HD. Stem tissues surrounding the inoculation site were collected at 48 h post inoculation with P. nicotianae race 0 and used for nucleus isolation, library construction, and sequencing. Because plant tissues are often difficult to dissociate into intact single cells, nucleus-based transcriptomic profiling provides a practical way to generate cell-resolved expression data from these samples. The dataset contains snRNA profiles from infected tobacco stems of both susceptible and resistant materials and can be reused for cell-type annotation, marker screening, comparative analysis of transcriptional features between accessions, and integration with future tobacco stem or disease-related single-cell and single-nucleus transcriptomic datasets.
烟草黑胫感染后感、抗性茎秆的单核转录组学数据
黑胫病是烟草生产中的主要病害,是由烟草疫霉引起的。以前的转录组学研究使用的是烟草。红花大金元(HD)作为黑柄烟的敏感材料。本文介绍了一个单核RNA测序(snRNA-seq)数据集,该数据集来自两个烟草品种的茎组织,它们对黑胫病有不同的反应,即敏感品种HD和来自HD的抗黑胫病近等基因系HDR7。接种后48 h,采集接种部位周围的茎组织,进行细胞核分离、文库构建和测序。由于植物组织通常难以分离成完整的单细胞,基于细胞核的转录组学分析提供了一种实用的方法来从这些样本中生成细胞解析的表达数据。该数据集包含来自易感和抗性材料的受感染烟草茎的snRNA谱,可重复用于细胞类型注释、标记筛选、不同材料之间转录特征的比较分析,以及与未来烟草茎或疾病相关的单细胞和单核转录组数据集整合。
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
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.
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