首页> 外文期刊>Plant Growth Regulation: An International Journal on Natural and Synthetic Regulators >Optimization of direct shoot regeneration using cotyledonary explants and true leaves from lettuce cv. Romaine (Lactuca sativa L.) by surface response methodology
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Optimization of direct shoot regeneration using cotyledonary explants and true leaves from lettuce cv. Romaine (Lactuca sativa L.) by surface response methodology

机译:使用子叶外植体和生菜简历的真叶优化直接芽再生。表面反应法测定长叶莴苣(Lactuca sativa L.)

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Lettuce (Lactuca sativa L.) is a commercially important crop and useful platform where different heterologous therapeutic proteins have been expressed. During genetic transformation, sometimes the limiting step is the lack of an efficient and reproducible regeneration protocol. Response surface methodology was successfully applied to find the combination of plant growth regulators inducing the largest number of shoots from cotyledonary explants and true leaves. Two independent variables were studied: concentration of alpha-naphthaleneacetic acid (NAA) and 6-benzyladenine (BA). A central composite design response surface methodology was developed to generate a quadratic model fitting the experimental data. The best combination of NAA (0.1 mg L-1, 0.54 A mu M) and BA (0.4 mg L-1, 1.78 A mu M) averaged 37.4 shoots per explant when using cotyledonary explants and 35.4 shoots when regenerating from true leaves. The surface response method predicted the following optimal concentration of growth regulators: NAA (0.09 mg L-1) which is identical in both explant types, while BA is 0.37 mg L-1 (1.64 A mu M) for cotyledonary explants and 0.35 mg L-1 (1.55 A mu M) for true leaves. The desirability value for cotyledonary explants is 0.66 and for true leaves is 0.71. The concentration of growth regulators suggested by the model are comparable to the optima experimentally obtained. Thus, the data from the central composite design response surface methodology model appropriately defines the optimal conditions for regeneration of lettuce in vitro. These findings open the possibility for using response surface methodology to optimize plant regeneration via growth regulators in different lettuce cultivars, as well as in other crops.
机译:生菜(莴苣)是商业上重要的作物和有用的平台,其中已经表达了不同的异源治疗蛋白。在遗传转化过程中,有时的限制步骤是缺乏有效且可再现的再生方案。响应面方法已成功地应用于寻找诱导子叶外植体和真叶芽数量最多的植物生长调节剂的组合。研究了两个独立变量:α-萘乙酸(NAA)和6-苄基腺嘌呤(BA)的浓度。开发了中央复合设计响应面方法,以生成适合实验数据的二次模型。当使用子叶外植体时,NAA(0.1 mg L-1,0.54 AμM)和BA(0.4 mg L-1,1.78 AμM)的最佳组合平均每个外植体37.4枝,从真叶再生时为35.4枝。表面响应方法预测了以下最佳生长调节剂浓度:NAA(0.09 mg L-1)在两种外植体类型中均相同,而子叶外植体的BA为0.37 mg L-1(1.64 AμM),0.35 mg L -1(1.55 AμM)用于真叶。子叶外植体的理想值为0.66,真叶的理想值为0.71。该模型建议的生长调节剂浓度与实验获得的最佳浓度相当。因此,来自中央复合设计响应面方法学模型的数据适当地定义了生菜体外再生的最佳条件。这些发现为利用响应面方法通过不同生菜品种以及其他农作物中的生长调节剂优化植物再生提供了可能性。

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