Effect of Plant Growth Regulators on Direct Shoot Regeneration of Wheat Immature Embryonic Explants

Mokhtari, Arash; Alizadeh, Houshang; Samadi, B Yazdi; Omidi, Mansour; Otroshy, Mahmoud; Moeini, Z.

doi:10.18005/jaeb0103004

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…The in vitro shoot regeneration in wheat has been widely studied. Establishing wheat in vitro shoot regeneration systems were associated with obstacles such as chimeric callogenesis consisting of both non-embryogenic and embryogenic calli, low efficiency of shoot regeneration, and genotype-dependency [3,[28][29][30][31][32][33][34]. Computational approaches may help in reducing trial and errors in the process of optimizing regeneration systems.…”

Section: Discussionmentioning

confidence: 99%

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Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

et al. 2020

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Optimizing in vitro shoot regeneration conditions in wheat is one of the important steps in successful micropropagation and gene transformation. Various factors such as genotypes, explants, and phytohormones affect in vitro regeneration of wheat, hindering the ability to tailor genotype-independent protocols. Novel computational approaches such as artificial neural networks (ANNs) can facilitate modeling and predicting outcomes of tissue culture experiments and thereby reduce large experimental treatments and combinations. In this study, generalized regression neural network (GRNN) were used to model and forecast in vitro shoot regeneration outcomes of wheat on the basis of 10 factors including genotypes, explants, and different concentrations of 6-benzylaminopurine (BAP), kinetin (Kin), 2,4-dichlorophenoxyacetic acid (2,4-D), indole-3-acetic acid (IAA), indole-3-butyric acid (IBA), 1-naphthaleneacetic acid (NAA), zeatin, and CuSO4. In addition, GRNN was linked to a genetic algorithm (GA) to identify an optimized solution for maximum shoot regeneration. Results indicated that GRNN could accurately predict the shoot regeneration frequency in the validation set with a coefficient determination of 0.78. Sensitivity analysis demonstrated that shoot regeneration frequency was more sensitive to variables in the order of 2,4-D > explant > genotype < zeatin < NAA. Results of this study suggest that GRNN-GA can be used as a tool, besides experimental approaches, to develop and optimize in vitro genotype-independent regeneration protocols.

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Section: Discussionmentioning

confidence: 99%

“…Data for this study was collected from previous in vitro shoot regeneration studies [3,[28][29][30][31][32][33][34]. Different types and concentrations of phytohormones, explant types, and genotypes on percent shoot regeneration frequency are summarized in Table S1.…”

Section: Data and Model Developmentmentioning

confidence: 99%

Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

et al. 2020

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“…1c) was carried out on MSB5 medium supplemented with high concentration of BA (7 mg/l) in combination with 0.05 mg/l NAA. Similarly, a relatively higher concentration of BA was found to give the best results in shoot multiplication experiments in different plant species such as wheat and banana (Mokhtari et al 2013;Bhosale et al 2011).…”

Section: Resultsmentioning

confidence: 96%

NMR-based metabolomic analysis of wild, greenhouse, and in vitro regenerated shoots of Cymbopogon schoenanthus subsp. proximus with GC–MS assessment of proximadiol

Abdelsalam

Mahran

Chowdhury

et al. 2017

Physiol Mol Biol Plants

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subsp is a wild plant distributed in subtropical and east Africa extending from the north to the southern parts of Egypt. Widely used in folk medicine, it is the source of the diuretic sesquiterpene proximadiol. Nuclear magnetic resonance metabolomic analysis of polar extracts of shoots from wild, greenhouse, somatic embryos, and direct and indirect organogenic in vitro cultures was carried out. Metabolic profiling yielded 39 compounds, of which common metabolites were 15 (38.4%). Unique metabolites were trehalose (2.5%) in the wild plants, 2-hydroxylisobutyrate, galactarate and tyrosine (7.6%) in indirect organogenic shoots. Tartrate was found only in direct regenerated shoots (2.5%). Metabolites identified in greenhouse and embryogenic shoots showed no unique compounds. Multivariate analysis revealed significant differences between all tested shoots. 4-aminobutyrate, alanine, glutamine, glucose, fructose, and sucrose were the most significantly different metabolites. Proximadiol was identified and quantitatively measured from the non-polar extract of different types of shoots using gas chromatography and mass spectrometry (GC-MS). Concentrations ranged from 3.6 ± 0.03 to 198.6 ± 7.2 µg/100 mg dry weight in regenerated shoots from somatic embryogenesis and in wild plant shoots, respectively. Direct organogenesis yielded the highest in vitro concentration (20.3 ± 0.5 µg/100 mg dry weight). This study reported the metabolic profiling of polar extract and identified primary metabolites that are unique to the wild type and shoots regenerated from different in vitro cultures. Proximadiol was quantified and the in vitro culture system yielding the highest concentration relative to the wild plant was identified.

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“…Plant tissue culture techniques are recalcitrant crops, especially monocotyledonous species and grass species. Previous studies reported that darkness to stimulate more direct shoot production than light condition [12] [13].…”

Section: Discussionmentioning

confidence: 99%

Effects of Plant Growth Regulators on in-vitro regeneration of a potential medicinal plant -Scilla hyacinthina (Roth.)J.F. Macbr

2016

J App Biol Biotech

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A suitable plant regeneration protocol has been developed from scale leaf and bulb scale explants of Scilla hyacinthina, a medicinally important plant species belonging to the family liliaceae. The maximum number of shoots (13.2), with average length 6.5 cm, was achieved with medium containing 1.5 mg/l TDZ. Rooting of shoots was achieved on half-strength MS medium supplemented with 1.5 mg/1 IAA.Abbreviations: MS -Murashige and Skoog medium, BAP -6-benzylamino-purine; KIN-Kinetin; Thidiazuron (TDZ); Indole-3-acetic acid (IAA); Iindole-3-butyric acid (IBA); GA3Gibbrellic acids;Hgcl2 -mercury chloride

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Effect of Plant Growth Regulators on Direct Shoot Regeneration of Wheat Immature Embryonic Explants

Cited by 6 publications

References 14 publications

Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

Application of Artificial Neural Network for Modeling and Studying In Vitro Genotype-Independent Shoot Regeneration in Wheat

NMR-based metabolomic analysis of wild, greenhouse, and in vitro regenerated shoots of Cymbopogon schoenanthus subsp. proximus with GC–MS assessment of proximadiol

Effects of Plant Growth Regulators on in-vitro regeneration of a potential medicinal plant -Scilla hyacinthina (Roth.)J.F. Macbr

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