|Table of Contents|

Study on Optimization of Soybean Cotyledonary Node Genetic Transformation System and the Transformation of Resistance Gene AtNHX5(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2015年02期
Page:
205-211
Research Field:
Publishing date:

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Title:
Study on Optimization of Soybean Cotyledonary Node Genetic Transformation System and the Transformation of Resistance Gene AtNHX5
Author(s):
YANG Quan1; WANG Yueyue1;  LIU Yan-guang1;  JIANG Chun-zhi2;  ZHANG Meng-chen2;  ZHANG Hong-xia3;  ZHANG Jie1; WANG Dong-mei1
1.College of Life Science, Agricultural University of Hebei, Baoding 071001,China;?
2. Grain and Oil Crop Research Institute, Academy of Agriculture and Forestry of Hebei Province, Shijiazhuang 050000, China;?
3. Shanghai Institute of Plant Physiology, Chinese Academy of Sciences, Shanghai 200032, China
Keywords:
Soybean;  Cotyledonary node;  AtNHX5;  Genetic transformation;  Glufosinate
PACS:
S565.1
DOI:
10.11861/j.issn.1000-9841.2015.02.0205
Abstract:
In this study,soybean cotyledonary node of Jidou 15, Wuxing 2 and NF-58 were used as materials. An efficient Agrobacterium-mediated gene transformation system based on the examinations of several factors influencing transformation efficiency was developed for soybean. The results indicated that the optimum transformation conditions were as follow: seeds germinated 6 days, 4℃ low temperature treatment, 20 mg?L-1?anti-oxidant silver nitrate during co-cultivation, ultrasonic treatment for infected explants 30 s. In the above condition, PCR-positive rate was 0.97% Using the optimized system an stress-resistant gene AtNHX5 was transformed Using the optimized system, the gene was transformed into soybean Wuxing 2. After detected the transgenic plants resistant to glufosinate by PCR, the transformation efficiency was 0.23% The expression of AtNHX5 was assessed by RT-PCR analysis.One positive plant of T1?generation was obtained by detection of PCR, which has salt-tolerance. It preliminarily demonstrated that the target gene was integrated into the soybean genome.

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Last Update: 2015-06-07