Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>)
Roses are one of the most important floricultural crops, and their essential oils have long been used for cosmetics and aromatherapy. We investigated the volatile compound compositions of 12 flower-color mutant variants and their original cultivars. Twelve rose mutant genotypes were developed by tre...
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2020-09-01
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author | Jaihyunk Ryu Jae Il Lyu Dong-Gun Kim Jung-Min Kim Yeong Deuk Jo Si-Yong Kang Jin-Baek Kim Joon-Woo Ahn Sang Hoon Kim |
author_facet | Jaihyunk Ryu Jae Il Lyu Dong-Gun Kim Jung-Min Kim Yeong Deuk Jo Si-Yong Kang Jin-Baek Kim Joon-Woo Ahn Sang Hoon Kim |
author_sort | Jaihyunk Ryu |
collection | DOAJ |
description | Roses are one of the most important floricultural crops, and their essential oils have long been used for cosmetics and aromatherapy. We investigated the volatile compound compositions of 12 flower-color mutant variants and their original cultivars. Twelve rose mutant genotypes were developed by treatment with 70 Gy of <sup>60</sup>Co gamma irradiation of six commercial rose cultivars. Essential oils from the flowers of the 18 genotypes were analyzed by gas chromatography–mass spectrometry. Seventy-seven volatile compounds were detected, which were categorized into six classes: Aliphatic hydrocarbons, aliphatic alcohols, aliphatic ester, aromatic compounds, terpene alcohols, and others. Aliphatic (hydrocarbons, alcohols, and esters) compounds were abundant categories in all rose flowers. The CR-S2 mutant had the highest terpene alcohols and oil content. Three (CR-S1, CR-S3, and CR-S4) mutant genotypes showed higher ester contents than their original cultivar. Nonacosane, 2-methylhexacosane, and 2-methyltricosane were major volatile compounds among all genotypes. Hierarchical cluster analysis (HCA) of the rose genotypes gave four groups according to grouping among the 77 volatile compounds. In addition, the principal component analysis (PCA) model was successfully applied to distinguish most attractive rose lines. These findings will be useful for the selection of rose genotypes with improved volatile compounds. |
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spelling | doaj.art-594e5f53719440148fc9e751ed4150432023-11-20T14:05:20ZengMDPI AGPlants2223-77472020-09-0199122110.3390/plants9091221Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>)Jaihyunk Ryu0Jae Il Lyu1Dong-Gun Kim2Jung-Min Kim3Yeong Deuk Jo4Si-Yong Kang5Jin-Baek Kim6Joon-Woo Ahn7Sang Hoon Kim8Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaDepartment of Horticulture, College of Industrial Sciences, Kongju National University, Yesan 32439, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeollabuk-do 56212, KoreaRoses are one of the most important floricultural crops, and their essential oils have long been used for cosmetics and aromatherapy. We investigated the volatile compound compositions of 12 flower-color mutant variants and their original cultivars. Twelve rose mutant genotypes were developed by treatment with 70 Gy of <sup>60</sup>Co gamma irradiation of six commercial rose cultivars. Essential oils from the flowers of the 18 genotypes were analyzed by gas chromatography–mass spectrometry. Seventy-seven volatile compounds were detected, which were categorized into six classes: Aliphatic hydrocarbons, aliphatic alcohols, aliphatic ester, aromatic compounds, terpene alcohols, and others. Aliphatic (hydrocarbons, alcohols, and esters) compounds were abundant categories in all rose flowers. The CR-S2 mutant had the highest terpene alcohols and oil content. Three (CR-S1, CR-S3, and CR-S4) mutant genotypes showed higher ester contents than their original cultivar. Nonacosane, 2-methylhexacosane, and 2-methyltricosane were major volatile compounds among all genotypes. Hierarchical cluster analysis (HCA) of the rose genotypes gave four groups according to grouping among the 77 volatile compounds. In addition, the principal component analysis (PCA) model was successfully applied to distinguish most attractive rose lines. These findings will be useful for the selection of rose genotypes with improved volatile compounds.https://www.mdpi.com/2223-7747/9/9/1221rosemutantvolatile compoundshierarchical cluster analysisprincipal component analysis |
spellingShingle | Jaihyunk Ryu Jae Il Lyu Dong-Gun Kim Jung-Min Kim Yeong Deuk Jo Si-Yong Kang Jin-Baek Kim Joon-Woo Ahn Sang Hoon Kim Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) Plants rose mutant volatile compounds hierarchical cluster analysis principal component analysis |
title | Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) |
title_full | Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) |
title_fullStr | Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) |
title_full_unstemmed | Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) |
title_short | Comparative Analysis of Volatile Compounds of Gamma-Irradiated Mutants of Rose (<i>Rosa hybrida</i>) |
title_sort | comparative analysis of volatile compounds of gamma irradiated mutants of rose i rosa hybrida i |
topic | rose mutant volatile compounds hierarchical cluster analysis principal component analysis |
url | https://www.mdpi.com/2223-7747/9/9/1221 |
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