Deep sequencing dataset of miRNAs related to salt tolerance identification in apples

Soil salinization has become a severe 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 modern apple industry. Therefore, studying the response and adaptation of apple tree to salt stress has a great practical significance and urgency. The seedlings of Malus zumi (Mats.) Rehd. were treated with 0%、0.2% and 0.6% NaCl solution for 0, 4, 8, and 12 days in this study, the total RNA from leaves and roots of seedlings was extracted and RNA seq libraries were constructed. At the same time, a dataset for deep sequencing of small RNA 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 databases such as NR, Swiss Prot, Pfam, etc., to obtain annotation information of salt tolerance related genes. It will provide theoretical data basis for the utilization of Malus zumi (Mats.) Rehd and favorable support for the breeding of salt tolerant rootstocks.