Literature DB >> 32516989

Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels.

Stefania Vichi1,2, Morgana N Mayer3, Maria G León-Cárdenas1, Beatriz Quintanilla-Casas1,2, Alba Tres1,2, Francesc Guardiola1,2, Ignasi Batlle4, Agustí Romero4.   

Abstract

Bitterness in almonds is controlled by a single gene (Sk dominant for sweet kernel, sk recessive for bitter kernel) and the proportions of the offspring genotypes (SkSk, Sksk, sksk) depend on the progenitors' genotype. Currently, the latter is deduced after crossing by recording the phenotype of their descendants through kernel tasting. Chemical markers to early identify parental genotypes related to bitter traits can significantly enhance the efficiency of almond breeding programs. On this basis, volatile metabolites related to almond bitterness were investigated by Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry coupled to univariate and multivariate statistics on 244 homo- and heterozygous samples from 42 different cultivars. This study evidenced the association between sweet almonds' genotype and some volatile metabolites, in particular benzaldehyde, and provided for the first time chemical markers to discriminate between homo- and heterozygous sweet almond genotypes. Furthermore, a multivariate approach based on independent variables was developed to increase the reliability of almond classification. The Partial Least Square-Discriminant Analysis classification model built with selected volatile metabolites that showed discrimination capacity allowed a 98.0% correct classification. The metabolites identified, in particular benzaldehyde, become suitable markers for the early genotype identification in almonds, while a DNA molecular marker is not yet available.

Entities:  

Keywords:  Prunus amygdalus; Prunus dulcis; almond kernel; benzaldehyde; bitterness; breeding; chemical marker; genotype

Year:  2020        PMID: 32516989     DOI: 10.3390/foods9060747

Source DB:  PubMed          Journal:  Foods        ISSN: 2304-8158


  4 in total

1.  Fraud Detection in Batches of Sweet Almonds by Portable Near-Infrared Spectral Devices.

Authors:  Irina Torres; María-Teresa Sánchez; Miguel Vega-Castellote; Dolores Pérez-Marín
Journal:  Foods       Date:  2021-05-28

Review 2.  Variability of Chemical Profile in Almonds (Prunus dulcis) of Different Cultivars and Origins.

Authors:  Ana Beltrán Sanahuja; Salvador E Maestre Pérez; Nuria Grané Teruel; Arantzazu Valdés García; María Soledad Prats Moya
Journal:  Foods       Date:  2021-01-13

3.  Flavor and Aroma Analysis as a Tool for Quality Control of Foods.

Authors:  Ángel Calín-Sánchez; Ángel A Carbonell-Barrachina
Journal:  Foods       Date:  2021-01-22

4.  Shedding Light on the Volatile Composition of Broa, a Traditional Portuguese Maize Bread.

Authors:  Andreia Bento-Silva; Noélia Duarte; Maria Belo; Elsa Mecha; Bruna Carbas; Carla Brites; Maria Carlota Vaz Patto; Maria Rosário Bronze
Journal:  Biomolecules       Date:  2021-09-22
  4 in total

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