Optimization of preparation conditions for Salsola laricifolia protoplasts using response surface methodology and artificial neural network modeling.

ABSTRACT:

Background

Salsola laricifolia is a typical C₃-C₄ typical desert plant, belonging to the family Amaranthaceae. An efficient single-cell system is crucial to study the gene function of this plant. In this study, we optimized the experimental conditions by using Box-Behnken experimental design and Response Surface Methodology (RSM)-Artificial Neural Network (ANN) model based on the previous studies.

Results

Among the 17 experiment groups designed by Box-Behnken experimental design, the maximum yield (1.566 × 10⁶/100 mg) and the maximum number of viable cells (1.367 × 10⁶/100 mg) were obtained in group 12, and the maximum viability (90.81%) was obtained in group 5. Based on these results, both the RSM and ANN models were employed for

SUBMITTER: Guo H 

PROVIDER: S-EPMC11000288 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature