Early Identification of Stable Transformation Events by Combined Use of Antibiotic Selection and Vital Detection of Green Fluorescent Protein (GFP) in Carrot (Daucus carota L.) Callus

卡罗塔达乌斯 老茧 绿色荧光蛋白 转化(遗传学) 植物 生物 鉴定(生物学) 选择(遗传算法) 生物化学 基因 计算机科学 人工智能
作者
Yuan‐Yeu Yau,Seth J Davis,Ahmet İpek,Philipp W. Simon
出处
期刊:Agricultural Sciences in China [Elsevier]
卷期号:7 (6): 664-671 被引量:6
标识
DOI:10.1016/s1671-2927(08)60100-5
摘要

Genetic transformation is a useful technique to complement conventional breeding in crop improvement. Although carrot has been a model organism for in vitro embryogenesis study, genetic transformation of carrot is still lengthy and labor intensive. An efficient transformation and detection system is desirable. Direct infection of Agrobacterium to carrot calli has provided an easy way for carrot genetic transformation. To improve the efficiency of antibiotic selection in this method, we report the combined use of an improved green-fluorescent protein, referred to as smGFP, to establish a versatile selection method for carrot callus transformation system. By combining antibiotic selection with the bright fluorescence observed in the callus tissue, we were able to easily identify stable transformants in early stage of the transformation process. In addition to the GFP expression of the callus cells, the transgenic nature of callus cells was confirmed with Southern and Western analysis. We found we can link the simplicity of carrot-callus-cell transformation, early detection of stable transformants with antibiotic selection, visualization of GFP fluorescence, and molecular analysis (Southern and Western) of callus tissue (non-photosynthetic tissue) to provide a more efficient way in identifying stable transformants at early stage of carrot transformation.

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