Optimisation of <i>Agrobacterium</i> ‐mediated transformation in <i>Saintpaulia ionantha</i> H. Wendl using response surface methodology (RSM)

ABSTRACT Genetic transformation and regeneration procedures in Saintpaulia are dependent on different parameters, which limit the genetic manipulation efficiency. We focused on introducing an efficient model for gene transformation and regeneration after that, via RSM. Two commercial cultivars were transformed by the GUS reporter gene via Agrobacterium ‐mediated method. Results showed that variables infection time, BA and IAA concentrations, and cultivar type significantly ( p ≤ .05) affected gene transformation. According to the highest desirability (0.94) of the obtained model, the highest transformation rate was achieved (68.7%) by 15 s dip in bacterial suspension followed by regeneration steps in the medium supplemented with 100 µg/l BA + 1000 µg/l IAA. Subsequently, the given model validity was evaluated by a target gene ( etr1‐1 ). The highest rate of etr1‐1 transformation (76.25%) was achieved by 30 s infection time in the proposed medium containing 100 µg/l BA + 1000 µg/l IAA, according to the model. Genomic and reverse transcription PCRs confirmed that GUS, nptII and etr1‐1 genes were successfully integrated and expressed in both cultivars at each transformation. Our results indicate that optimising the time of infection and media using the RSM design could greatly improve the accuracy and feasibility of a model for achieving a high rate of genetic transformation.

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Publication Details

Journal
New Zealand Journal of Crop and Horticultural Science
Published
2024-09-08
DOI
https://doi.org/10.1080/01140671.2024.2399827
Citations
2
Primary Topic
Plant tissue culture and regeneration
Type
article
Field-Weighted Citation Impact
0.47
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article

Optimisation of Agrobacterium ‐mediated transformation in Saintpaulia ionantha H. Wendl using response surface methodology (RSM)

Fataneh Yari, Hamideh Ofoghi, Amir Mousavi, Maria Missaghi et al.
2 citations
New Zealand Journal of Crop and Horticultural Science
Plant tissue culture and regeneration
0.47
article

Optimisation of Agrobacterium ‐mediated transformation in Saintpaulia ionantha H. Wendl using response surface methodology (RSM)

Fataneh Yari, Hamideh Ofoghi, Amir Mousavi, Maria Missaghi, Younes Mostofi
article en
2 citations

Abstract

ABSTRACT Genetic transformation and regeneration procedures in Saintpaulia are dependent on different parameters, which limit the genetic manipulation efficiency. We focused on introducing an efficient model for gene transformation and regeneration after that, via RSM. Two commercial cultivars were transformed by the GUS reporter gene via Agrobacterium ‐mediated method. Results showed that variables infection time, BA and IAA concentrations, and cultivar type significantly ( p ≤ .05) affected gene transformation. According to the highest desirability (0.94) of the obtained model, the highest transformation rate was achieved (68.7%) by 15 s dip in bacterial suspension followed by regeneration steps in the medium supplemented with 100 µg/l BA + 1000 µg/l IAA. Subsequently, the given model validity was evaluated by a target gene ( etr1‐1 ). The highest rate of etr1‐1 transformation (76.25%) was achieved by 30 s infection time in the proposed medium containing 100 µg/l BA + 1000 µg/l IAA, according to the model. Genomic and reverse transcription PCRs confirmed that GUS, nptII and etr1‐1 genes were successfully integrated and expressed in both cultivars at each transformation. Our results indicate that optimising the time of infection and media using the RSM design could greatly improve the accuracy and feasibility of a model for achieving a high rate of genetic transformation.

New Zealand Journal of Crop and Horticultural ScienceVol. 53(5)
Islamic Azad University, Science and Research Branch (IR), University of Tehran (IR), Iranian Research Organization for Science and Technology (IR), National Institute of Genetic Engineering and Biotechnology (IR)
Zero hunger
Openalex Percentile: Top 35%
Plant tissue culture and regeneration
0.47
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