Mostafa Ahmed , Zoltán Tóth , Diaa Attia Marrez , Roquia Rizk , Donia Abdul-Hamid , Kincső Decsi
{"title":"氧化锌纳米颗粒处理盐胁迫番茄植株转录组数据集。","authors":"Mostafa Ahmed , Zoltán Tóth , Diaa Attia Marrez , Roquia Rizk , Donia Abdul-Hamid , Kincső Decsi","doi":"10.1016/j.dib.2025.111282","DOIUrl":null,"url":null,"abstract":"<div><div>Salinity diminishes agricultural productivity and quality, resulting in overall economic losses on a worldwide scale. Zinc oxide nanoparticles (ZnO<img>NPs) have been found to enhance plant physiological and metabolic processes, as well as increase overall resilience to abiotic stressors. A research study was undertaken to assess the effects of foliar application of chemically produced ZnO<img>NPs on tomato plants, both in the presence and absence of a NaCl stressor. The datasets were obtained through the utilization of the shallow mRNA sequencing technology. Six datasets from the SRA were uploaded to NCBI. The aforementioned datasets encompass the Transcriptome Shotgun Assembly (TSA), the contigs that underwent blasting, mapping, and annotation from the pre-processed datasets, and the count table derived from the quantification of RNA-seq reads. All the aforementioned data is encompassed under the Mendeley database. Moving forward, the utilization of databases will facilitate the examination of modifications in plant biochemical reactions at the level of gene expression.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111282"},"PeriodicalIF":1.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783048/pdf/","citationCount":"0","resultStr":"{\"title\":\"Transcriptome datasets of salt-stressed tomato plants treated with zinc oxide nanoparticles\",\"authors\":\"Mostafa Ahmed , Zoltán Tóth , Diaa Attia Marrez , Roquia Rizk , Donia Abdul-Hamid , Kincső Decsi\",\"doi\":\"10.1016/j.dib.2025.111282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Salinity diminishes agricultural productivity and quality, resulting in overall economic losses on a worldwide scale. Zinc oxide nanoparticles (ZnO<img>NPs) have been found to enhance plant physiological and metabolic processes, as well as increase overall resilience to abiotic stressors. A research study was undertaken to assess the effects of foliar application of chemically produced ZnO<img>NPs on tomato plants, both in the presence and absence of a NaCl stressor. The datasets were obtained through the utilization of the shallow mRNA sequencing technology. Six datasets from the SRA were uploaded to NCBI. The aforementioned datasets encompass the Transcriptome Shotgun Assembly (TSA), the contigs that underwent blasting, mapping, and annotation from the pre-processed datasets, and the count table derived from the quantification of RNA-seq reads. All the aforementioned data is encompassed under the Mendeley database. Moving forward, the utilization of databases will facilitate the examination of modifications in plant biochemical reactions at the level of gene expression.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"58 \",\"pages\":\"Article 111282\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783048/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925000149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925000149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/9 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Transcriptome datasets of salt-stressed tomato plants treated with zinc oxide nanoparticles
Salinity diminishes agricultural productivity and quality, resulting in overall economic losses on a worldwide scale. Zinc oxide nanoparticles (ZnONPs) have been found to enhance plant physiological and metabolic processes, as well as increase overall resilience to abiotic stressors. A research study was undertaken to assess the effects of foliar application of chemically produced ZnONPs on tomato plants, both in the presence and absence of a NaCl stressor. The datasets were obtained through the utilization of the shallow mRNA sequencing technology. Six datasets from the SRA were uploaded to NCBI. The aforementioned datasets encompass the Transcriptome Shotgun Assembly (TSA), the contigs that underwent blasting, mapping, and annotation from the pre-processed datasets, and the count table derived from the quantification of RNA-seq reads. All the aforementioned data is encompassed under the Mendeley database. Moving forward, the utilization of databases will facilitate the examination of modifications in plant biochemical reactions at the level of gene expression.
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.