Modeling and Optimizing Medium Composition for Shoot Regeneration of Chrysanthemum via Radial Basis Function-Non-dominated Sorting Genetic Algorithm-II (RBF-NSGAII)

Mohsen Hesami,Roohangiz Naderi,Masoud Tohidfar

doi:10.1038/s41598-019-54257-0

Mohsen Hesami, Roohangiz Naderi + Show 1 more

Open Access

https://doi.org/10.1038/s41598-019-54257-0

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Abstract

The aim of the current study was modeling and optimizing medium compositions for shoot proliferation of chrysanthemum, as a case study, through radial basis function- non-dominated sorting genetic algorithm-II (RBF-NSGAII). RBF as one of the artificial neural networks (ANNs) was used for modeling four outputs including proliferation rate (PR), shoot number (SN), shoot length (SL), and basal callus weight (BCW) based on four variables including 6-benzylaminopurine (BAP), indole-3-butyric acid (IBA), phloroglucinol (PG), and sucrose. Afterward, models were linked to the optimization algorithm. Also, sensitivity analysis was applied for evaluating the importance of each input. The R2 correlation values of 0.88, 0.91, 0.97, and 0.76 between observed and predicted data were obtained for PR, SN, SL, and BCW, respectively. According to RBF-NSGAII, optimal PR (98.85%), SN (13.32), SL (4.83 cm), and BCW (0.08 g) can be obtained from a medium containing 2.16 µM BAP, 0.14 µM IBA, 0.29 mM PG, and 87.63 mM sucrose. The results of sensitivity analysis indicated that PR, SN, and SL were more sensitive to BAP, followed by sucrose, PG, and IBA. Finally, the performance of predicted and optimized medium compositions were tested, and results showed that the difference between the validation data and RBF-NSGAII predicted and optimized data were negligible. Generally, RBF-NSGAII can be considered as an efficient computational strategy for modeling and optimizing in vitro organogenesis.

Highlights

Adjusting the culture medium concentrations of plant growth regulators (PGRs)[5], sucrose, and phloroglucinol (PG)[6] could enhance the propagation potential of different genotypes and explants[7,8]
Many studies have investigated the impact of PGRs levels in shoot proliferation of chrysanthemum, there is a lack of comprehensive investigation on the effect of medium compositions
The results indicated that higher proliferation rate (PR), shoot number (SN), shoot length (SL), and basal callus weight (BCW) were achieved in MS medium supplemented with both BAP and indole-3-butyric acid (IBA)

Summary

Introduction

Adjusting the culture medium concentrations of plant growth regulators (PGRs)[5], sucrose, and phloroglucinol (PG)[6] could enhance the propagation potential of different genotypes and explants[7,8]. Multilayer perceptron (MLP) was used to model the impacts of sucrose contents, nitrate concentrations, fresh weight, size, and type of explant per vessel, temperature, pH, time of inoculation, and the volume of growth medium in hairy root culture[33]. In another modeling study, MLP was applied for modeling in vitro sterilization of chrysanthemum rootstocks[34]. There is a lack of comprehensive studies regarding the effectiveness of the radial basis function (RBF) as an ANN method for modeling the compositions of the medium

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