Application of Adaptive Neuro-Fuzzy Inference System-Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) for Modeling and Optimizing Somatic Embryogenesis of Chrysanthemum

A hybrid artificial intelligence model and optimization algorithm could be a powerful approach for modeling and optimizing plant tissue culture procedures. The aim of this study was introducing an Adaptive Neuro-Fuzzy Inference System- Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) as a powerful computational methodology for somatic embryogenesis of chrysanthemum, as a case study. ANFIS was used for modeling three outputs including callogenesis frequency (CF), embryogenesis frequency (EF), and the number of somatic embryo (NSE) based on different variables including 2,4-dichlorophenoxyacetic acid (2,4-D), 6-benzylaminopurine (BAP), sucrose, glucose, fructose, and light quality. Subsequently, models were linked to NSGAII for optimizing the process, and the importance of each input was evaluated by sensitivity analysis. Results showed that all of the R2 of training and testing sets were over 92%, indicating the efficiency and accuracy of ANFIS on the modeling of the embryogenesis. Also, according to ANFIS-NSGAII, optimal EF (99.1%), and NSE (13.1) can be obtained from a medium containing 1.53 mg/L 2,4-D, 1.67 mg/L BAP, 13.74 g/L sucrose, 57.20 g/L glucose, and 0.39 g/L fructose under red light. The results of the sensitivity analysis showed that embryogenesis was more sensitive to 2,4-D, and less sensitive to fructose. Generally, the hybrid ANFIS-NSGAII can be recognized as a powerful computational tool for modeling and optimizing in plant tissue culture.

[1]  A. Yadollahi,et al.  Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models , 2016, Front. Plant Sci..

[2]  Kee-Yoeup Paek,et al.  Effects of LEDs on net photosynthetic rate, growth and leaf stomata of chrysanthemum plantlets in vitro , 2004 .

[3]  Aiming Wang,et al.  Molecular regulation of plant somatic embryogenesis , 2013, In Vitro Cellular & Developmental Biology - Plant.

[4]  Hamid Reza Karimi,et al.  Adaptive Sliding Mode Control for Takagi–Sugeno Fuzzy Systems and Its Applications , 2018, IEEE Transactions on Fuzzy Systems.

[5]  Omid Bozorg-Haddad,et al.  Development of a Comparative Multiple Criteria Framework for Ranking Pareto Optimal Solutions of a Multiobjective Reservoir Operation Problem , 2016 .

[6]  X. Xiong,et al.  The Influence of Plant Growth Regulators and Light Quality on Somatic Embryogenesis in China Rose (Rosa chinensis Jacq.) , 2013, Journal of Plant Growth Regulation.

[7]  W. Briggs,et al.  Photoreceptors in plant photomorphogenesis to date. Five phytochromes, two cryptochromes, one phototropin, and one superchrome. , 2001, Plant physiology.

[8]  M. Hesami,et al.  Effect of plant growth regulators on indirect shoot organogenesis of Ficus religiosa through seedling derived petiole segments , 2017, Journal, genetic engineering & biotechnology.

[9]  R. Trigiano,et al.  Somatic Embryogenesis and Plant Regeneration from Leaves of Dendranthema grandiflora , 1991 .

[10]  C. Michael Bourget,et al.  An Introduction to Light-emitting Diodes , 2008 .

[11]  G. Garoosi,et al.  Combining DOE With Neurofuzzy Logic for Healthy Mineral Nutrition of Pistachio Rootstocks in vitro Culture , 2018, Front. Plant Sci..

[12]  S. Thiruppathi,et al.  Evaluation of different carbon sources for high frequency callus culture with reduced phenolic secretion in cotton (Gossypium hirsutum L.) cv. SVPR-2 , 2015, Biotechnology reports.

[13]  A. Farokhnia,et al.  Application of global SST and SLP data for drought forecasting on Tehran plain using data mining and ANFIS techniques , 2011 .

[14]  H. Tung,et al.  Light-emitting diodes and their potential in callus growth, plantlet development and saponin accumulation during somatic embryogenesis of Panax vietnamensis Ha et Grushv. , 2015, Biotechnology, biotechnological equipment.

[15]  A. Yadollahi,et al.  Artificial Neural Network Genetic Algorithm As Powerful Tool to Predict and Optimize In vitro Proliferation Mineral Medium for G × N15 Rootstock , 2016, Front. Plant Sci..

[16]  Masoud Tohidfar,et al.  Modeling and Optimizing in vitro Sterilization of Chrysanthemum via Multilayer Perceptron-Non-dominated Sorting Genetic Algorithm-II (MLP-NSGAII) , 2019, Front. Plant Sci..

[17]  S. Datta,et al.  Direct somatic embryogenesis and plant regeneration from ray florets of chrysanthemum , 2005, Biologia Plantarum.

[18]  Cary A. Mitchell,et al.  Plant Productivity in Response to LED Lighting , 2008 .

[19]  Ali Azarnivand,et al.  Drought forecasting using data-driven methods and an evolutionary algorithm , 2017, Modeling Earth Systems and Environment.

[20]  Jorge Gago,et al.  Improving knowledge of plant tissue culture and media formulation by neurofuzzy logic: a practical case of data mining using apricot databases. , 2011, Journal of plant physiology.

[21]  P. P. Gallego,et al.  Design of tissue culture media for efficient Prunus rootstock micropropagation using artificial intelligence models , 2014, Plant Cell, Tissue and Organ Culture (PCTOC).

[22]  M. Hesami,et al.  An efficient in vitro shoot regeneration through direct organogenesis from seedling-derived petiole and leaf segments and acclimatization of Ficus religiosa , 2018, Journal of Forestry Research.

[23]  M. Fernandes-Ferreira,et al.  Influence of medium parameters on somatic embryogenesis from hypocotyl explants of flax (Linum usitatissimum L.) : effect of carbon source, total inorganic nitrogen and balance between ionic forms and interaction between calcium and zeatin , 1999 .

[24]  P. P. Gallego,et al.  Predicting optimal in vitro culture medium for Pistacia vera micropropagation using neural networks models , 2017, Plant Cell, Tissue and Organ Culture (PCTOC).

[25]  R. Sangwan,et al.  Somatic embryogenesis from cultured mature cotyledons of cassava (Manihot esculenta Crantz) , 1994, Plant Cell, Tissue and Organ Culture.

[26]  Jun Jia,et al.  Somatic embryogenesis and plant regeneration in chrysanthemum (Yuukou) , 2012, Plant Cell, Tissue and Organ Culture (PCTOC).

[27]  Yunde Zhao.  The role of local biosynthesis of auxin and cytokinin in plant development. , 2008, Current opinion in plant biology.

[28]  T. Tsuchiya,et al.  A Simple and Efficient Method for Somatic Embryogenesis and Plant Regeneration from Leaves of Chrysanthemum [Dendranthema × grandiflorum (Ramat.) Kitamura] , 2004 .

[29]  K. Lim,et al.  Primary and secondary somatic embryogenesis in Chrysanthemum cv. Euro , 2012, Plant Cell, Tissue and Organ Culture (PCTOC).

[30]  THE EFFECT OF CARBON SOURCE ON IN VITRO ORGANOGENESIS OF CHRYSANTHEMUM THIN CELL LAYERS (1) , 2004 .

[31]  A. Yadollahi,et al.  Modeling and Optimizing a New Culture Medium for In Vitro Rooting of G×N15 Prunus Rootstock using Artificial Neural Network-Genetic Algorithm , 2018, Scientific Reports.

[32]  J. A. Teixeira da Silva,et al.  Chrysanthemum biotechnology: discoveries from the recent literature , 2014 .

[33]  Jorge Gago,et al.  A neurofuzzy logic approach for modeling plant processes: A practical case of in vitro direct rooting and acclimatization of Vitis vinifera L. , 2010 .

[34]  S. Razavi,et al.  Modeling of glucose release from native and modified wheat starch gels during in vitro gastrointestinal digestion using artificial intelligence methods. , 2017, International journal of biological macromolecules.

[35]  M. Danaee,et al.  Effects of carbon source, polyethylene glycol and abscisic acid on secondary embryo induction and maturation in rapeseed (Brassica napus L.) microspore-derived embryos , 2011, Acta Physiologiae Plantarum.

[36]  Chao‐Lin Kuo,et al.  Influence of LED light spectra on in vitro somatic embryogenesis and LC–MS analysis of chlorogenic acid and rutin in Peucedanum japonicum Thunb.: a medicinal herb , 2016, Botanical Studies.

[37]  D. Pavingerová,et al.  Somatic embryogenesis and Agrobacterium-mediated transformation of chrysanthemum , 1994 .

[38]  J. Canhoto,et al.  Improvement of somatic embryogenesis inFeijoa sellowiana berg (Myrtaceae) by manipulation of culture media composition , 2007, In Vitro Cellular & Developmental Biology - Plant.

[39]  J. Silva,et al.  The effect of antibiotics on the in vitro growth response of chrysanthemum and tobacco stem transverse thin cell layers (tTCLs) , 2003 .

[40]  J. Gago,et al.  Artificial neural networks as an alternative to the traditional statistical methodology in plant research. , 2010, Journal of plant physiology.

[41]  S. Mehrotra,et al.  A neural network approach for the prediction of in vitro culture parameters for maximum biomass yields in hairy root cultures. , 2010, Journal of theoretical biology.

[42]  Yoshikazu Tanaka,et al.  Generation of blue chrysanthemums by anthocyanin B-ring hydroxylation and glucosylation and its coloration mechanism , 2017, Science Advances.

[43]  M. Reuveni,et al.  On the effect of light on shoot regeneration in petunia , 2007, Plant Cell, Tissue and Organ Culture.

[44]  C. Michler,et al.  Effects of light on somatic embryo development and abscisic levels in carrot suspension cultures , 2004, Plant Cell, Tissue and Organ Culture.

[45]  M. Hesami,et al.  In Vitro Adventitious Shoot Regeneration through Direct and Indirect Organogenesis from Seedling-derived Hypocotyl Segments of Ficus religiosa L.: An Important Medicinal Plant , 2018 .

[46]  A. Zehir,et al.  High Frequency Somatic Embryogenesis in Cotton , 2004, Biologia Plantarum.

[47]  Daniel C. W. Brown,et al.  Role of exogenous reduced nitrogen and sucrose in rapid high frequency somatic embryogenesis in Medicago sativa , 2004, Plant Cell, Tissue and Organ Culture.

[48]  L. Lardet,et al.  Differential carbohydrate metabolism conducts morphogenesis in embryogenic callus of Hevea brasiliensis (Müll. Arg.). , 2002, Journal of experimental botany.

[49]  M. Hesami,et al.  Data-Driven Modeling in Plant Tissue Culture , 2017 .

[50]  Yanfeng Wang,et al.  An Improved Non-dominated Sorting Genetic Algorithm-II (INSGA-II) applied to the design of DNA codewords , 2018, Math. Comput. Simul..

[51]  M. Tanaka,et al.  Responses of strawberry plantlets cultured in vitro under superbright red and blue light-emitting diodes (LEDs) , 2003, Plant Cell, Tissue and Organ Culture.

[52]  C. Ulisses,et al.  Using LED lighting in somatic embryogenesis and micropropagation of an elite sugarcane variety and its effect on redox metabolism during acclimatization , 2016, Plant Cell, Tissue and Organ Culture (PCTOC).

[53]  L. Vieira,et al.  The effects of silver nitrate and different carbohydrate sources on somatic embryogenesis in Coffea canephora , 2004, Plant Cell, Tissue and Organ Culture.

[54]  J. Silva.  Chrysanthemum: advances in tissue culture, cryopreservation, postharvest technology, genetics and transgenic biotechnology. , 2003 .

[55]  Zhi-gang Xu,et al.  Effect of light-emitting diodes on growth and morphogenesis of upland cotton (Gossypium hirsutum L.) plantlets in vitro , 2010, Plant Cell, Tissue and Organ Culture (PCTOC).

[56]  G. Bellocchi,et al.  Effect of light quality on somatic embryogenesis of quince leaves , 1998, Plant Cell, Tissue and Organ Culture.

[57]  Krystian Lapa,et al.  New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling , 2018, Advances in Data Analysis with Computational Intelligence Methods.

[58]  S. Kudo,et al.  Somatic embryogenesis and plant regeneration in chrysanthemum (Dendranthema grandiflorum (Ramat.) Kitamura) , 2000, Plant Cell Reports.

[59]  A. Sæbø,et al.  Light quality affects photosynthesis and leaf anatomy of birch plantlets in vitro , 1995, Plant Cell, Tissue and Organ Culture.

[60]  Cindy E. Hauser,et al.  Quantifying Plant Colour and Colour Difference as Perceived by Humans Using Digital Images , 2013, PloS one.

[61]  F. Skoog,et al.  A revised medium for rapid growth and bio assays with tobacco tissue cultures , 1962 .

[62]  M. Tohidfar,et al.  Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum ammi (L.) Sprague) , 2018, In Vitro Cellular & Developmental Biology - Plant.

[63]  Sean May,et al.  Cytokinin Regulation of Auxin Synthesis in Arabidopsis Involves a Homeostatic Feedback Loop Regulated via Auxin and Cytokinin Signal Transduction[W][OA] , 2010, Plant Cell.

[64]  J. Flexas,et al.  Modeling the Effects of Light and Sucrose on In Vitro Propagated Plants: A Multiscale System Analysis Using Artificial Intelligence Technology , 2014, PloS one.

[65]  J. van Staden,et al.  Micropropagation of the endangered Aloe polyphylla , 2004, Plant Growth Regulation.

[66]  B. Upchurch,et al.  Light quality treatments enhance somatic seedling production in three southern pine species. , 2006, Tree physiology.