以百合基花丝为外植体的病毒检测及脱毒植株材料的制备

Yanjie Lv, Yajun Dou, Halizeremu Saidahemaiti, Xiangfeng He, Xiangxun Zhao, Wenhe Wang
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摘要

百合是百合科百合科多年生球茎花卉,具有很高的观赏价值和经济价值。但百合易受病毒感染,严重影响百合的产量和品质,对百合的生产、销售,特别是出口造成了极大的威胁,给相关产业造成了巨大的经济损失。因此,百合脱毒方法和病毒检测技术的研究对提高百合的观赏价值和经济价值具有重要的现实意义。本研究以4个百合易感品种‘Valdisole’(A)、‘Adoration’(LA)、‘Ice Cube’(OT)和‘Zantriana’(O)的花丝为外植体。百合的花丝分为三部分,即顶部、中部和基部。本文采用DAS-ELISA和RT-PCR对百合花丝诱导的组培苗进行病毒检测,探讨了百合中常见的两种病毒黄瓜花叶病毒(CMV)和百合无症状病毒(LSV)的去除效果,并对两种检测技术进行了比较。结果表明,丝基诱导的组培苗成功率最高,可基本脱除CMV病毒。RT-PCR检测比DAS-ELISA检测更灵敏,但RT-PCR检测对检测条件和技术要求更高。因此,可以根据实际情况和严重程度选择合适的病毒检测方法。
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Virus Detection and Production of Virus Free Plant Materials from the Lily by Selecting Basal Filament Flower as Explants
Lilium is a perennial bulbous flower of Lily family Liliaceae, with high ornamental and economic value. However, Lily is vulnerable to virus infection, which seriously affects the yield and quality of Lily, and poses a great threat to the production, sales, especially export of Lily, and has caused huge economic losses to the related industries. Therefore, the research on lily virus removal methods and virus detection technology has important practical significance to improve the ornamental value and economic value of lily. In this study, the filaments of four susceptible lily varieties,' Valdisole' (A),'Adoration'(LA),' Ice Cube'(OT) and ‘Zantriana’ (O), were used as explants. The filaments of lily were divided into three parts, namely, top, middle, and base. In this paper, the virus detection of tissue culture seedlings induced by lily filaments was carried out by using DAS-ELISA and RT-PCR, and the removal effects of Cucumber mosaic virus,(CMV) and lily symptomless virus (LSV), two common viruses in lily, were explored, and the two detection technologies were compared. The results showed that the success rate of tissue culture seedlings induced by filament base was the highest, and CMV virus could be basically removed. RT-PCR detection is more sensitive than DAS-ELISA detection, but RT-PCR detection requires higher test conditions and technology. Therefore, appropriate virus detection methods can be selected according to actual conditions and severity.
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