DNA methylation analysis during the optimization of Agrobacterium-mediated transformation of soybean

DNA methylation analysis during the optimization of Agrobacterium-mediated transformation of soybean Soybean is recognized as one of the plants which are very difficult to be transformed. Considering the low transformation efficiency of soybean, we aimed to determine the effect of 6-benzylaminopurine (6-BA), shoot induction time, and infection time of Agrobacterium on the clonal propagation of Glycine max. Results showed that 1.6 mg/L 6-BA could be optimal to promote the induction of adventitious shoots. An induction time of 15 d was considered optimal for the actual experiment involving soybean shoot induction. Agrobacterium was cultured until an OD600 = 0.8 was reached for an infection time of 30 min; this infection time may be optimal to promote soybean transformation. Whole genome DNA methylation was analyzed by high-performance liquid chromatography (HPLC)-assisted quantification, and DNA methylation result is consistent with the phenotypic data of shoot development. In addition, two methylation-related genes (decrease in DNA methylation 1 and DNA methyl transferases chromomethylase 2) were analyzed to determine expression differences by qRT-PCR in the shoots that were developed under different experimental conditions. In general, the expression values of these genes were normally downregulated under the recommended experimental conditions of soybean regeneration. This study showed the overall methylation changes in the in vitro culture of soybean, as affected by several variable parameters, which is useful to promote the transformation efficiency of soybean. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

DNA methylation analysis during the optimization of Agrobacterium-mediated transformation of soybean

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Pleiades Publishing
Copyright © 2016 by Pleiades Publishing, Inc.
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
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