摘要
土壤盐渍化已成为限制农作物产量与质量的重要因素之一,影响着全世界范围内的农作物产量。苹果作为一种重要的水果作物,盐胁迫的危害及耐盐砧木的缺乏已成为威胁现代苹果产业健康可持续发展的重要问题。因此,研究苹果对盐胁迫的反应和适应具有重要的现实意义和紧迫性。本研究分别以0%、0.2%和0.6%NaCl处理0、4、8和12天后的珠美海棠实生苗为试验材料,从叶片及根系中提取总RNA,构建RNA-seq文库,共鉴定获得575个miRNA,包括315个已知mdm-miRNA和260个新miRNA。此外,Differential Expression(DE) miRNA对盐胁迫反应具有组织特异性表达模式。同时提供珠美海棠miRNA深度测序的数据集,结合生物信息学方法对原始数据质量控制,获得高质量序列并利用BLAST软件将预测靶基因序列与NR、Swiss-Prot、Pfam等数据库比对,获得响应盐胁迫相关基因的注释信息。GO分析表明与盐胁迫有关miRNA及靶基因主要参与生物过程中对刺激的反应。本研究为珠美海棠的利用提供理论数据基础,并为耐盐砧木的选育提供有力支持。
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.
作者
刘昭
高源
王昆
孙思邈
代瑛姿
路翔
田雯
王大江
冯建荣
LIU Zhao;GAO Yuan;WANG Kun;SUN SiMiao;DAI YingZi;LU Xiang;TIAN Wen;WANG DaJiang;FENG JianRong(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;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)
出处
《农业大数据学报》
2024年第1期14-23,共10页
Journal of Agricultural Big Data
基金
2023年新疆建设兵团研究生科研创新项目
中国农业科学院创新工程项目(CAAS-ASTIP-2021-RIP-02)。
作者简介
第一作者:刘昭,E-mail:Lz_0427@163.com;通信作者:冯建荣,E-mail:fjr_agr@shzu.edu.cn;通信作者:王大江,E-mail:dajiang0101@163.com。
