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CcCIPK14 Gene Function Analysis to Illuminate the Efficient Root Transgenic System
Published on: September 23, 2021
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A high efficient protocol for soybean root transformation by Agrobacterium rhizogenes and most stable reference genes
K M Kuma1,2, V S Lopes-Caitar3,2, C C T Romero2
1Department of Biochemistry and Biotechnology, Universidade Estadual de Londrina, Londrina, Brazil.
Plant Cell Reports
|August 2, 2015
Summary
Optimized Agrobacterium rhizogenes-mediated soybean root transformation achieved 55% efficiency. GmELF1-β and GmELF1-α were identified as the most stable reference genes for gene expression analysis in soybean.
Area of Science:
- Plant biotechnology
- Molecular biology
- Genetics
Background:
- Agrobacterium rhizogenes-mediated transformation is crucial for studying soybean root-pathogen interactions.
- Existing protocols for soybean transformation have limited efficiency and plant recovery rates.
- Accurate gene expression analysis via RT-qPCR requires stable reference genes.
Purpose of the Study:
- To optimize Agrobacterium rhizogenes-mediated soybean root transformation for higher efficiency.
- To identify stable reference genes for RT-qPCR analysis in transformed soybean composite plants.
- To enhance the study of soybean responses to abiotic stress and phytopathogens.
Main Methods:
- Optimization of Agrobacterium rhizogenes-mediated transformation protocol.
- Inclusion of an acclimation step involving hydroponics and specific selection processes.
- Validation of reference gene stability using RT-qPCR in composite plants, including under nematode infection.
Main Results:
- Achieved a 55% transformation efficiency, a significant improvement over existing methods.
- Demonstrated higher rates of transformed plant recovery.
- Identified GmELF1-β and GmELF1-α as the most stable reference genes for soybean gene expression studies.
Conclusions:
- The optimized protocol significantly enhances soybean transformation efficiency and plant recovery.
- GmELF1-β and GmELF1-α are validated as reliable reference genes for RT-qPCR in soybean composite plants, particularly under stress conditions.
- This advancement facilitates more robust functional genomics studies in soybean.

