Deep Sequencing Dataset of miRNAs in Response to Salt Stress in Apples

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  • 1. College of Agriculture, Shihezi University, Xinjiang Production and Construction Corps Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization, Shihezi 832000, Xinjiang, China
    2. Research Institute of Pomology, Chinese Academy of Agricultural Sciences/Key Laboratory of Horticultural Crops Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Xingcheng 125100, Liaoning, China

Received date: 2023-12-23

  Accepted date: 2024-01-26

  Online published: 2024-04-08

Abstract

Soil salinization has become an important factor limiting crop yield and quality, affecting crop yields worldwide. As an important fruit crop, the harm of salt stress and the lack of salt tolerant rootstocks have become important issues threatening the healthy and sustainable development of the modern apple industry. Therefore, studying the response and adaptation of apple trees to salt stress is of great practical significance and urgency. In this study, total RNA was extracted from the leaves and roots of Malus zumi (Mats.) Rehd. seedlings were treated with 0, 0.2% and 0.6% NaCl after 0, 4, 8 and 12 days, and RNA-seq libraries were constructed. A total of 575 miRNAs were identified, including 315 known mdm-miRNAs and 260 new miRNAs. In addition, differentially expressed (DE) miRNAs exhibited tissue-specific expression patterns in response to salt stress. At the same time, a data set for deep sequencing of miRNA in Malus zumi (Mats.) Rehd was provided, and bioinformatics methods were used to control the quality of the original data. High quality sequences were obtained, and BLAST software was used to compare the predicted target gene sequences with NR, Swiss Prot, Pfam and other databases to obtain annotation information of salt tolerance related genes. GO analysis shows that miRNAs and target genes related to salt stress are mainly involved in the response to stimuli in biological processes. This will provide theoretical data basis for the utilization of Malus zumi (Mats.) Rehd and favorable support for the breeding of salt tolerant rootstocks.

Data Summary:

Item Description
Dataset name Deep Sequencing Dataset of miRNAs in Response to Salt Stress in Apples
Specific subject area Agronomy, biology
Research Topic RNA-seq data from apple with NaCl treatment
Time range 2017-2023
Data types and technical formats .FASTQ,.STAT
Dataset structure This dataset is composed of.FASTQ and.STAT file format and 4 table data, mainly including miRNA sequencing results of leaves and roots of Malus zumi (Mats.) and annotated salt tolerance target gene data
Volume of dataset 9.19GB
Key index in dataset Data quality control, prediction of known and new miRNAs, miRNA precursor structures, prediction of target genes, and annotation of target genes
Data accessibility DOI: 10.57760/sciencedb.agriculture.00097
CSTR: 17058.11.sciencedb.agriculture.00097
https://www.scidb.cn/s/iqmQfi
Financial support 2023 Xinjiang Construction Corps graduate research and innovation project; The Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2021-RIP-02)

Cite this article

LIU Zhao, GAO Yuan, WANG Kun, SUN SiMiao, DAI YingZi, LU Xiang, TIAN Wen, WANG DaJiang, FENG JianRong . Deep Sequencing Dataset of miRNAs in Response to Salt Stress in Apples[J]. Journal of Agricultural Big Data, 2024 , 6(1) : 14 -23 . DOI: 10.19788/j.issn.2096-6369.100007

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