https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
https://www.ahs.ac.cn/images/0513-353X/images/top-banner2.jpg|#|甘蓝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner3.jpg|#|菊花
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https://www.ahs.ac.cn/images/0513-353X/images/top-banner5.jpg|#|桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner6.jpg|#|黄瓜
https://www.ahs.ac.cn/images/0513-353X/images/top-banner7.jpg|#|蝴蝶兰
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https://www.ahs.ac.cn/images/0513-353X/images/top-banner12.jpg|#|菊花

园艺学报 ›› 2021, Vol. 48 ›› Issue (9): 1731-1742.doi: 10.16420/j.issn.0513-353x.2020-0855

• 研究论文 • 上一篇    下一篇

黄瓜10个基因型材料外植体内源激素水平及比例对其离体再生的影响

王团团, 缑晨星, 夏磊, 朱拼玉, 李季*(), 陈劲枫   

  1. 南京农业大学园艺学院,作物遗传与种质创新国家重点实验室,南京 210095
  • 收稿日期:2020-11-25 修回日期:2021-03-05 出版日期:2021-09-25 发布日期:2021-09-30
  • 通讯作者: 李季 E-mail:liji1981@njau.edu.cn
  • 基金资助:
    国家自然科学基金项目(31672168);江苏省自然科学基金项目(SBK2019020046)

Effect of Endogenous Hormone Levels and Ratios in Explants of Ten Genotypes of Cucumber on Their Regeneration in Vitro

WANG Tuantuan, GOU Chenxing, XIA Lei, ZHU Pinyu, LI Ji*(), CHEN Jinfeng   

  1. State Key Laboratory of Crop Genetics and Germplasm Enhancement,College of Horticulture,Nanjing Agricultural University,Nanjing 210095,China
  • Received:2020-11-25 Revised:2021-03-05 Online:2021-09-25 Published:2021-09-30
  • Contact: LI Ji E-mail:liji1981@njau.edu.cn

摘要:

以10个不同基因型黄瓜(Cucumis sativus L.)子叶节外植体为材料,研究外植体内源激素水平、诱导分化阶段不同外源激素及配比对外植体分化率、不定芽数量和形态的影响,揭示影响不同基因型黄瓜离体再生活力的关键激素因素,并进一步优化黄瓜再生体系。结果表明:MS培养基不添加植物生长调节剂时,10个材料的分化率差异显著,内源CTK水平与分化率呈显著正相关,相关系数分别为0.4544(培养0 d)和0.6110(培养14 d)。MS培养基添加外源1.5 mg · L-16-BA后,不同基因型的分化率从5.95% ~ 20.45%提高到了42.39% ~ 80.43%。不定芽形态观察发现:外植体再生过程形成了两种不同类型的不定芽:Ⅰ型芽为正常芽,叶片舒展,茎秆明显;Ⅱ型芽为畸形芽,有叶片形态,但无明显的茎秆结构。不同基因型材料分化形成Ⅰ型和Ⅱ型不定芽的比例差异显著,Ⅰ型/Ⅱ型不定芽比值高的基因型最终再生苗率显著高于比值低的基因型。相关性分析显示不同材料中产生Ⅰ型/Ⅱ型外植体比例与其IAA/ABA比值的相关性最高(R2= 0.4214),Ⅰ型/Ⅱ型不定芽比值与再生苗率呈显著正相关(R2= 0.5623)。对Ⅰ型/Ⅱ型外植体比值低(0.52和0.46)、不定芽比值低且再生苗率较低的基因型C5和C6,通过添加不同比例外源NAA和ABA进行诱导,发现C5和C6均在NAA/ABA比值为0.01/0.1时Ⅰ型/Ⅱ型外植体比例(1.65和1.15)、不定芽比值(1.81和1.17)和再生苗率(48.57%和53.33%)均得到显著提高。

关键词: 黄瓜, 离体再生, 激素因素, 体系优化

Abstract:

In order to reveal the key factor influencing the regeneration vigor of different cucumber (Cucumis sativus L.)and optimize the cucumber in vitro regeneration system. The effect of endogenous hormone levels and exogenous hormone treatments on the differentiation rate,the number and morphology of adventitious buds were investigated in cotyledon node explants of 10 different genotypes. The results showed that the differentiation rate of the 10 materials was significantly different in the absence of exogenous hormones,and the endogenous CTK level was positively correlated with the differentiation rate,with correlation coefficients were 0.4544 (0 d incubation)and 0.6110(14 d incubation),respectively. The differentiation rates of different genotypes were increased from 5.95% ~ 20.45% to 42.39% ~ 80.43% by 1.5 mg · L-16-BA treatment. Morphology observation showed there were two different types of adventitious buds,typeⅠbuds:leaf blade stretching and visible culm,typeⅡbuds:deformity bud with leaf blade and no visible culm. The proportion of the formation of typeⅠand typeⅡadventitious buds were significantly different in different genotypes. The regeneration rates of the genotypes with a high ratio of typeⅠ/Ⅱadventitious buds were significantly higher than that of the genotypes with a low ratio. Correlation analysis showed that the typeⅠ/Ⅱexplant ratio was closely correlated with the IAA/ABA ratio(R2= 0.4214),and the ratio of typeⅠ/Ⅱadventitious buds was obviously positive correlation with the rate of regeneration seedings(R2= 0.5623). For the genotype C5 and C6,which had a low typeⅠ/Ⅱexplant ratio(0.52 and 0.46),adventitious buds ratio and low rate of regeneration seedings,different proportion of exogenous NAA and ABA was added to the induction medium,it was found that typeⅠ/Ⅱexplants ratio(1.65 and 1.15),adventitious buds ratio(1.81 and 1.17)and the regeneration rate(48.57% and 53.33%)were significantly improved when the NAA/ABA ratio was 0.01/0.1.

Key words: cucumber, regeneration in vitro, hormonal factor, system optimization

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