Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels
- Autores
- Vichi, Stefania; Neuls Mayer, Morgana; León Cárdenas, Maria G.; Quintanilla Casas, Beatriz; Tres, Alba; Guardiola, Francesc; Batlle, Ignasi; Romero, Agustí
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Vichi, Stefania. Universidad de Barcelona; España
Fil: Neuls Mayer, Morgana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Biología Agrícola de Mendoza. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biología Agrícola de Mendoza; Argentina
Fil: León Cárdenas, Maria G.. Universidad de Barcelona; España
Fil: Quintanilla Casas, Beatriz. Universidad de Barcelona; España
Fil: Tres, Alba. Universidad de Barcelona; España
Fil: Guardiola, Francesc. Universidad de Barcelona; España
Fil: Batlle, Ignasi. Institut de Recerca i Tecnologia Agroalimentàries; España
Fil: Romero, Agustí. Institut de Recerca i Tecnologia Agroalimentàries; España - Materia
-
ALMOND KERNEL
BENZALDEHYDE
BITTERNESS
BREEDING
CHEMICAL MARKER
GENOTYPE
PRUNUS AMYGDALUS
PRUNUS DULCIS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/127612
Ver los metadatos del registro completo
id |
CONICETDig_1eb70edc188c5a4b3a1c1f1e7c66e5bc |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/127612 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond KernelsVichi, StefaniaNeuls Mayer, MorganaLeón Cárdenas, Maria G.Quintanilla Casas, BeatrizTres, AlbaGuardiola, FrancescBatlle, IgnasiRomero, AgustíALMOND KERNELBENZALDEHYDEBITTERNESSBREEDINGCHEMICAL MARKERGENOTYPEPRUNUS AMYGDALUSPRUNUS DULCIShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Bitterness 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.Fil: Vichi, Stefania. Universidad de Barcelona; EspañaFil: Neuls Mayer, Morgana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Biología Agrícola de Mendoza. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biología Agrícola de Mendoza; ArgentinaFil: León Cárdenas, Maria G.. Universidad de Barcelona; EspañaFil: Quintanilla Casas, Beatriz. Universidad de Barcelona; EspañaFil: Tres, Alba. Universidad de Barcelona; EspañaFil: Guardiola, Francesc. Universidad de Barcelona; EspañaFil: Batlle, Ignasi. Institut de Recerca i Tecnologia Agroalimentàries; EspañaFil: Romero, Agustí. Institut de Recerca i Tecnologia Agroalimentàries; EspañaMultidisciplinary Digital Publishing Institute2020-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/127612Vichi, Stefania; Neuls Mayer, Morgana; León Cárdenas, Maria G.; Quintanilla Casas, Beatriz; Tres, Alba; et al.; Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels; Multidisciplinary Digital Publishing Institute; Foods; 9; 6; 6-2020; 1-122304-8158CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2304-8158/9/6/747/htminfo:eu-repo/semantics/altIdentifier/doi/10.3390/foods9060747info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:53Zoai:ri.conicet.gov.ar:11336/127612instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:48:53.637CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
title |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
spellingShingle |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels Vichi, Stefania ALMOND KERNEL BENZALDEHYDE BITTERNESS BREEDING CHEMICAL MARKER GENOTYPE PRUNUS AMYGDALUS PRUNUS DULCIS |
title_short |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
title_full |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
title_fullStr |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
title_full_unstemmed |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
title_sort |
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels |
dc.creator.none.fl_str_mv |
Vichi, Stefania Neuls Mayer, Morgana León Cárdenas, Maria G. Quintanilla Casas, Beatriz Tres, Alba Guardiola, Francesc Batlle, Ignasi Romero, Agustí |
author |
Vichi, Stefania |
author_facet |
Vichi, Stefania Neuls Mayer, Morgana León Cárdenas, Maria G. Quintanilla Casas, Beatriz Tres, Alba Guardiola, Francesc Batlle, Ignasi Romero, Agustí |
author_role |
author |
author2 |
Neuls Mayer, Morgana León Cárdenas, Maria G. Quintanilla Casas, Beatriz Tres, Alba Guardiola, Francesc Batlle, Ignasi Romero, Agustí |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
ALMOND KERNEL BENZALDEHYDE BITTERNESS BREEDING CHEMICAL MARKER GENOTYPE PRUNUS AMYGDALUS PRUNUS DULCIS |
topic |
ALMOND KERNEL BENZALDEHYDE BITTERNESS BREEDING CHEMICAL MARKER GENOTYPE PRUNUS AMYGDALUS PRUNUS DULCIS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Vichi, Stefania. Universidad de Barcelona; España Fil: Neuls Mayer, Morgana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Biología Agrícola de Mendoza. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biología Agrícola de Mendoza; Argentina Fil: León Cárdenas, Maria G.. Universidad de Barcelona; España Fil: Quintanilla Casas, Beatriz. Universidad de Barcelona; España Fil: Tres, Alba. Universidad de Barcelona; España Fil: Guardiola, Francesc. Universidad de Barcelona; España Fil: Batlle, Ignasi. Institut de Recerca i Tecnologia Agroalimentàries; España Fil: Romero, Agustí. Institut de Recerca i Tecnologia Agroalimentàries; España |
description |
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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/127612 Vichi, Stefania; Neuls Mayer, Morgana; León Cárdenas, Maria G.; Quintanilla Casas, Beatriz; Tres, Alba; et al.; Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels; Multidisciplinary Digital Publishing Institute; Foods; 9; 6; 6-2020; 1-12 2304-8158 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/127612 |
identifier_str_mv |
Vichi, Stefania; Neuls Mayer, Morgana; León Cárdenas, Maria G.; Quintanilla Casas, Beatriz; Tres, Alba; et al.; Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels; Multidisciplinary Digital Publishing Institute; Foods; 9; 6; 6-2020; 1-12 2304-8158 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2304-8158/9/6/747/htm info:eu-repo/semantics/altIdentifier/doi/10.3390/foods9060747 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613515925520384 |
score |
13.070432 |