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用于研究深海水对[植物名称]叶片基因表达和功能化合物影响的转录组数据集。 (原文中“of”后面缺少具体植物名称)

Transcriptome dataset to investigate the effect of deep seawater on the gene expression and functional compounds of leaves of .

作者信息

Anggita Dewi Komang, Azeez Bimpe Suliyat, Oh Se-Jin, Na Jong-Kuk

机构信息

Department of Agriculture and Industries, Graduate School, Kangwon National University, Chuncheon, Gangwon, 24341 Republic of Korea.

Goseong Deep Sea Water Industry Foundation, Goseong, Gangwon 24747, Republic of Korea.

出版信息

Data Brief. 2025 Feb 22;59:111427. doi: 10.1016/j.dib.2025.111427. eCollection 2025 Apr.

DOI:10.1016/j.dib.2025.111427
PMID:40124288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11927711/
Abstract

Seawater is often applied to improve crop quality by supplying minerals to the crop. Due to high salt concentration of seawater, one of key factors for successful utilization of seawater in agriculture would be optimal dilution ratios, which can be determined by physiological and genomic studies. However, genomic studies of crops treated with seawater have rarely been investigated. , a vegetable and medicinal crop [1], is used to examine the genomic changes in response to the application of deep seawater (DSW) from 605 m depth. RNA sequencing was carried out for three different leaf samples of treated with 0% (NT), 5% (DSW5), or 10% (DSW10) of DSW using the Illumina NovaSeq 6000 sequencing system. The RNA sequencing generated 38.1 million raw reads for NT, 29.2 for DSW5, and 30.5 for DSW10, respectively. The length of total raw reads was 2.94 (DSW5), 3.08 (DSW10), and 3.85 Gb (NT), while the total length of filtered clean reads ranged between 2.88 Gb (DSW5) and 3.75 Gb (NT). GC contents range between 42.9% (DSW5) and 43.58 (DSW10), while the Q20 quality score ranged between 98.63% (DSW10) and 98.66% (DSW5). Due to the lack of the reference genome for read mapping, the three transcriptome data from this study were merged to generate a reference transcriptome. The percentage of mapped reads ranged from 89.63 (DSW10) to 98.66% (DSW5). The data is accessible at NCBI BioProject: PRJNA1149490. These data provide invaluable information not only for understanding genes responsive to deep seawater application in crop cultivation but also for determining the optimal dilution ratio of DSW without causing salt stress on crops by examining expression profiles of stress-responsive genes.

摘要

海水常被用于通过向作物供应矿物质来提高作物品质。由于海水盐浓度高,农业成功利用海水的关键因素之一是最佳稀释比例,这可以通过生理和基因组研究来确定。然而,对用海水处理的作物的基因组研究很少。 ,一种蔬菜和药用作物[1],被用于研究其对605米深处的深层海水(DSW)施用的基因组变化。使用Illumina NovaSeq 6000测序系统对用0%(NT)、5%(DSW5)或10%(DSW10)的DSW处理的 的三个不同叶片样本进行了RNA测序。RNA测序分别为NT产生了3810万个原始读数,为DSW5产生了2920万个,为DSW10产生了3050万个。原始读数的总长度为2.94(DSW5)、3.08(DSW10)和3.85 Gb(NT),而过滤后的干净读数的总长度在2.88 Gb(DSW5)和3.75 Gb(NT)之间。GC含量在42.9%(DSW5)和43.58(DSW10)之间,而Q20质量分数在98.63%(DSW10)和98.66%(DSW5)之间。由于缺乏用于读取映射的参考基因组,本研究的三个转录组数据被合并以生成一个参考转录组。映射读数的百分比范围从89.63(DSW10)到98.66%(DSW5)。这些数据可在NCBI生物项目:PRJNA1149490中获取。这些数据不仅为理解作物栽培中对深层海水施用有响应的基因提供了宝贵信息,还通过检查应激反应基因的表达谱来确定DSW的最佳稀释比例而不会对作物造成盐胁迫。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b8/11927711/ef816a63776a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b8/11927711/ba6fce3bc33d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b8/11927711/ef816a63776a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b8/11927711/ba6fce3bc33d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b8/11927711/ef816a63776a/gr2.jpg