Estimation of genetic diversity in some Iranian cornelian cherries (Cornus mas L.) accessions using ISSR markers

Hassanpour, Hamid; Hamidoghli, Yousef; Samizadeh, Habibollah

doi:10.1016/j.bse.2013.01.002

Cited by 22 publications

(14 citation statements)

References 20 publications

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“…Pear‐shaped variety of blueberry ( Cornus mas –Macrocarpa) belongs to the Cornaceae family; a shrub to a height of about 5–8 m with tiny leaves that grows in the vast region of Europe and Asia especially Arasbaran (Kaleibar) forests(Hassanpour, Hamidoghli, & Samizadeh, , ). Blueberry contains tannins and organic acids, anthocyanins, carotenoids, and antioxidant melatonin.…”

Section: Introductionmentioning

confidence: 99%

Anthocyanin pigment stability of Cornus mas–Macrocarpa under treatment with pH and some organic acids

Babaloo

Jamei

2017

Food Science & Nutrition

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The use of colors in food industry is essential for the creation of new products or their improvement. As an important pigment group, anthocyanin could be used as a natural coloring pigment in foods. This study aims at exploring strategies that result in color stability of anthocyanin in pear‐shaped variety of blueberry (Cornus mas–Macrocarpa). In this study, the effects of different pH values (1, 2, 3, 4) as well as various concentrations (0, 120, 240, 480, 960 mg/L) of five copigments, including tannic, caffeic, benzoic, and coumaric acids, on anthocyanin copigment complexes (ratio 1:1) were investigated. The studied copigments were tannic, caffeic, benzoic, and coumaric acids. Anthocyanin was influenced by the highest concentration of 960 mg/L copigment in the presence of different pHs. Five groups were considered, one of which contained anthocyanin without copigment and the rest consisted of copigments. To evaluate the response of copigmentation through spectrophotometer, absorbance from samples was measured after 30 min of adding copigment to anthocyanin in the range of 450–600 nm wavelengths. The results showed that caffeic acid possessed the greatest anthocyanin stability compared to other copigments and it was the best copigment. An increase in the concentrations of copigments led to a higher level of anthocyanin stability and changes in hyperchromic and bathochromic. Moreover, the results revealed that the strongest hyperchromic effect for all organic acids was observed in pH 2, and the strongest bathochromic changes were observed in pH 4.

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Section: Introductionmentioning

confidence: 99%

Anthocyanin pigment stability of Cornus mas–Macrocarpa under treatment with pH and some organic acids

Babaloo

Jamei

2017

Food Science & Nutrition

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“…Among the wide diversity of molecular markers, inter simple sequence repeat (ISSR) markers developed by Zietkiewicz et al (1994) have been used to detect genetic similarities or differences in plants (Gurkok et al 2013;Hassanpour et al 2013;Wang et al 2013;Hadian et al 2014). For phylogenetic analyses the method is mostly used to infer relationships within species and among species within subgeneric groups, as for example in Oryza sativa L. (Joshi et al 2000), wheat (Nagaoka and Ogihara 1997), Diplotaxis DC.…”

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confidence: 99%

Interspecific Relationships in Allium subgenus Melanocrommyum sections Acanthoprason and Asteroprason (Amaryllidaceae) Revealed Using ISSR Markers

et al. 2015

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Allium subgenus Melanocrommyum is taxonomically one of the most complicated groups within Allium and its sectional delimitation has been changed several times. In the present study, the relationships among 136 individuals representing 28 species of the sections Acanthoprason and Asteroprason were surveyed using ISSR (inter simple sequence repeats) markers. Nine ISSR primers generated 322 polymorphic bands (on average 36 bands per primer). In the resulting neighbor joining dendrogram, most conspecific individuals were grouped into clusters, which can be regarded as evidence of the monophyly of most species. Exceptions were the positions of six single samples of A. graveolens, A. zagricum, A. shelkovnikovii, A. subakaka, and A. materculae, which were not grouped with their remaining conspecific individuals. The clusters in dendrograms were significantly correlated with morphological similarities and biogeographical distributions. The lowest molecular similarity (62%) was observed between A. shelkovnikovii and A. ubipetrense and the most similar taxa (similarity value = 93%) were A. materculae and A. graveolens (sect. Acanthoprason). The results showed that ISSR analysis is suitable to detect the relationship of closely related species. The groups constructed agree only partly with those previously published based on molecular data, and represent alternative proposals to define taxonomic groups.

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“…The H e values ranged from 0.00 to 0.82 and the mean H e was 0.58 in our analysis. An ISSR analysis of C. mas accessions from Iran reported H e values that ranged from 0.43 to 0.49 and a mean H e of 0.42 (Hassanpour et al, 2013). The higher H e value using microsatellites indicates that these loci are potentially more useful in studies of genetic structure in C. mas.…”

Section: Discussionmentioning

confidence: 99%

Development of microsatellites from Cornus mas L. (Cornaceae) and characterization of genetic diversity of cornelian cherries from China, central Europe, and the United States

Wadl

Szyp-Borowska

Piórecki

et al. 2014

Scientia Horticulturae

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Estimation of genetic diversity in some Iranian cornelian cherries (Cornus mas L.) accessions using ISSR markers

Cited by 22 publications

References 20 publications

Anthocyanin pigment stability of Cornus mas–Macrocarpa under treatment with pH and some organic acids

Anthocyanin pigment stability of Cornus mas–Macrocarpa under treatment with pH and some organic acids

Interspecific Relationships in <I>Allium</I> subgenus <I>Melanocrommyum</I> sections <I>Acanthoprason</I> and <I>Asteroprason</I> (Amaryllidaceae) Revealed Using ISSR Markers

Development of microsatellites from Cornus mas L. (Cornaceae) and characterization of genetic diversity of cornelian cherries from China, central Europe, and the United States

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