Biotechnology Bulletin ›› 2025, Vol. 41 ›› Issue (11): 228-235.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0475

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Establishment and Application of a Method for Identifying Raspberry Ploidy Based on Flow Cytometry

QING Meng-yao1(), TIAN Lin2, LI Ying-chao3, SHI Rui-ji1, ZHANG Rui-jie1, ZHENG Yi-chen1, SUN Quan1, LI Han4, GU Yu-hong1()   

  1. 1.College of Life Sciences, Hebei Agricultural University, Baoding 071001
    2.State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing 100091
    3.Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091
    4.College of Forestry, Hebei Agricultural University, Baoding 071001
  • Received:2025-05-09 Online:2025-11-26 Published:2025-12-09
  • Contact: GU Yu-hong E-mail:1428746020@qq.com;gyhshengwu@163.com

Abstract:

Objective To establish a set of efficient and easy-to-operate methods for detecting the ploidy of raspberry cells, and then use this method to identify the ploidy of different raspberry germplasms, laying a theoretical foundation for ploidy breeding and hybrid breeding of raspberry. Method Taking raspberry leaves as the material, different dissociating solutions, leaf sources, leaf ages, leaf preservation and transportation methods and other conditions were optimized to establish a method for detecting the ploidy of raspberry cells by flow cytometry. This method was used to detect the cell ploidy of leaves, roots and callus of different raspberry germplasms including black raspberry, red raspberry and yellow raspberry. Result The nuclear suspension prepared with dissociating solution VI (WPB) had the best detection effect when using flow cytometry to detect the ploidy of raspberry leaf cells, with the most collected nucleus and the best peak graph. The nuclear suspension prepared from the young leaves of field-seedlings and tissue-culturing seedlings had the best detection effect, followed by that from adult leaves. The best detection effect was achieved by placing the leaves between two layers of moist filter paper and then putting them in a plastic petri dish, and then placing the plastic petri dish in a low-temperature foam box for direct detection with the sample. The second-best effect was achieved by cutting the leaves from the plant and directly soaking them in a 50 mL sterile water-filled centrifuge tube before mailing the sample for detection. The main peak of the flow cytometry histogram of the leaves was located near the fluorescence intensity value of 10 000. Using this detection method, the ploidy of 15 raspberry germplasm leaf cells was all determined to be diploid, and the ploidy of the roots and callus of ‘Longyuan shuangfeng’ and ‘Polka’ was also determined to be diploid. Conclusion This study established a method capable of detecting the cell ploidy of raspberry leaves, roots, and calli at different developmental stages and under different growth environments. Using this method, a total of 15 raspberry germplasms, including black raspberries, red raspberries, and yellow raspberries, were tested, and all were found to be diploid.

Key words: raspberry, cell, ploidy identification, flow cytometry, leaves, roots, callus tissue, rapid identification