Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat

Autores
Liu, Li; Ikeda, Tatsuya M.; Branlard, Gerard; Peña, Roberto J.; Rogers, William John; Lerner, Silvia E.; Kolman, Maria de Los Angeles; Xia, Xianchun; Wang, Linhai; Ma, Wujun; Appels, Rudi; Yoshida, Hisashi; Wang, Aili; Yan, Yueming; He, Zhonghu
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background Low-molecular-weight glutenin subunits (LMW-GS) play a crucial role in determining end-use quality of common wheat by influencing the viscoelastic properties of dough. Four different methods - sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), two-dimensional gel electrophoresis (2-DE, IEF × SDS-PAGE), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and polymerase chain reaction (PCR), were used to characterize the LMW-GS composition in 103 cultivars from 12 countries. Results At the Glu-A3 locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles Glu-A3e and Glu-A3d could not be routinely distinguished from Glu-A3f and Glu-A3g, respectively, based on SDS-PAGE, and the allele Glu-A3a could not be differentiated from Glu-A3c by MALDI-TOF-MS. At the Glu-B3 locus, alleles Glu-B3a, Glu-B3b, Glu-B3c, Glu-B3g, Glu-B3h and Glu-B3j could be clearly identified by all four methods, whereas Glu-B3ab, Glu-B3ac, Glu-B3ad could only be identified by the 2-DE method. At the Glu-D3 locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the Glu-D3 alleles. Conclusions PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of Glu-A3 and Glu-B3 alleles in breeding programs. A combination of methods was required to identify certain alleles, and would be especially useful when characterizing new alleles. A standard set of 30 cultivars for use in future studies was chosen to represent all LMW-GS allelic variants in the collection. Among them, Chinese Spring, Opata 85, Seri 82 and Pavon 76 were recommended as a core set for use in SDS-PAGE gels. Glu-D3c and Glu-D3e are the same allele. Two new alleles, namely, Glu-D3m in cultivar Darius, and Glu-D3n in Fengmai 27, were identified by 2-DE. Utilization of the suggested standard cultivar set, seed of which is available from the CIMMYT and INRA Clermont-Ferrand germplasm collections, should also promote information sharing in the identification of individual LMW-GS and thus provide useful information for quality improvement in common wheat.
Fil: Liu, Li. Chinese Academy of Agricultural Sciences; China
Fil: Ikeda, Tatsuya M.. National Agriculture and Food Research Organization; Japón
Fil: Branlard, Gerard. Institut National de la Recherche Agronomique; Francia
Fil: Peña, Roberto J.. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Rogers, William John. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lerner, Silvia E.. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Kolman, Maria de Los Angeles. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Xia, Xianchun. Chinese Academy of Agricultural Sciences; China
Fil: Wang, Linhai. Chinese Academy of Agricultural Sciences; China
Fil: Ma, Wujun. Murdoch University; Australia
Fil: Appels, Rudi. Murdoch University; Australia
Fil: Yoshida, Hisashi. National Agriculture and Food Research Organization; Japón
Fil: Wang, Aili. Capital Normal University; China
Fil: Yan, Yueming. Capital Normal University; China
Fil: He, Zhonghu. Chinese Academy of Agricultural Sciences; China. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Materia
bread wheat
low molecular weight glutenin
SDS-PAGE
2-DE
MALDI-TOF-MS
PCR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/15870

id CONICETDig_9637f947f1c76435e1132cca807b8168
oai_identifier_str oai:ri.conicet.gov.ar:11336/15870
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheatLiu, LiIkeda, Tatsuya M.Branlard, GerardPeña, Roberto J.Rogers, William JohnLerner, Silvia E.Kolman, Maria de Los AngelesXia, XianchunWang, LinhaiMa, WujunAppels, RudiYoshida, HisashiWang, AiliYan, YuemingHe, Zhonghubread wheatlow molecular weight gluteninSDS-PAGE2-DEMALDI-TOF-MSPCRhttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Background Low-molecular-weight glutenin subunits (LMW-GS) play a crucial role in determining end-use quality of common wheat by influencing the viscoelastic properties of dough. Four different methods - sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), two-dimensional gel electrophoresis (2-DE, IEF × SDS-PAGE), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and polymerase chain reaction (PCR), were used to characterize the LMW-GS composition in 103 cultivars from 12 countries. Results At the Glu-A3 locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles Glu-A3e and Glu-A3d could not be routinely distinguished from Glu-A3f and Glu-A3g, respectively, based on SDS-PAGE, and the allele Glu-A3a could not be differentiated from Glu-A3c by MALDI-TOF-MS. At the Glu-B3 locus, alleles Glu-B3a, Glu-B3b, Glu-B3c, Glu-B3g, Glu-B3h and Glu-B3j could be clearly identified by all four methods, whereas Glu-B3ab, Glu-B3ac, Glu-B3ad could only be identified by the 2-DE method. At the Glu-D3 locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the Glu-D3 alleles. Conclusions PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of Glu-A3 and Glu-B3 alleles in breeding programs. A combination of methods was required to identify certain alleles, and would be especially useful when characterizing new alleles. A standard set of 30 cultivars for use in future studies was chosen to represent all LMW-GS allelic variants in the collection. Among them, Chinese Spring, Opata 85, Seri 82 and Pavon 76 were recommended as a core set for use in SDS-PAGE gels. Glu-D3c and Glu-D3e are the same allele. Two new alleles, namely, Glu-D3m in cultivar Darius, and Glu-D3n in Fengmai 27, were identified by 2-DE. Utilization of the suggested standard cultivar set, seed of which is available from the CIMMYT and INRA Clermont-Ferrand germplasm collections, should also promote information sharing in the identification of individual LMW-GS and thus provide useful information for quality improvement in common wheat.Fil: Liu, Li. Chinese Academy of Agricultural Sciences; ChinaFil: Ikeda, Tatsuya M.. National Agriculture and Food Research Organization; JapónFil: Branlard, Gerard. Institut National de la Recherche Agronomique; FranciaFil: Peña, Roberto J.. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoFil: Rogers, William John. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lerner, Silvia E.. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Kolman, Maria de Los Angeles. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Xia, Xianchun. Chinese Academy of Agricultural Sciences; ChinaFil: Wang, Linhai. Chinese Academy of Agricultural Sciences; ChinaFil: Ma, Wujun. Murdoch University; AustraliaFil: Appels, Rudi. Murdoch University; AustraliaFil: Yoshida, Hisashi. National Agriculture and Food Research Organization; JapónFil: Wang, Aili. Capital Normal University; ChinaFil: Yan, Yueming. Capital Normal University; ChinaFil: He, Zhonghu. Chinese Academy of Agricultural Sciences; China. Centro Internacional de Mejoramiento de Maíz y Trigo; MéxicoBiomed Central2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/15870Liu, Li; Ikeda, Tatsuya M.; Branlard, Gerard; Peña, Roberto J.; Rogers, William John; et al.; Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat; Biomed Central; Bmc Plant Biology; 10; 6-2010; 124-1481471-2229enginfo:eu-repo/semantics/altIdentifier/url/http://www.biomedcentral.com/1471-2229/10/124info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2229-10-124info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:57:30Zoai:ri.conicet.gov.ar:11336/15870instacron: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 09:57:30.895CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
title Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
spellingShingle Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
Liu, Li
bread wheat
low molecular weight glutenin
SDS-PAGE
2-DE
MALDI-TOF-MS
PCR
title_short Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
title_full Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
title_fullStr Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
title_full_unstemmed Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
title_sort Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
dc.creator.none.fl_str_mv Liu, Li
Ikeda, Tatsuya M.
Branlard, Gerard
Peña, Roberto J.
Rogers, William John
Lerner, Silvia E.
Kolman, Maria de Los Angeles
Xia, Xianchun
Wang, Linhai
Ma, Wujun
Appels, Rudi
Yoshida, Hisashi
Wang, Aili
Yan, Yueming
He, Zhonghu
author Liu, Li
author_facet Liu, Li
Ikeda, Tatsuya M.
Branlard, Gerard
Peña, Roberto J.
Rogers, William John
Lerner, Silvia E.
Kolman, Maria de Los Angeles
Xia, Xianchun
Wang, Linhai
Ma, Wujun
Appels, Rudi
Yoshida, Hisashi
Wang, Aili
Yan, Yueming
He, Zhonghu
author_role author
author2 Ikeda, Tatsuya M.
Branlard, Gerard
Peña, Roberto J.
Rogers, William John
Lerner, Silvia E.
Kolman, Maria de Los Angeles
Xia, Xianchun
Wang, Linhai
Ma, Wujun
Appels, Rudi
Yoshida, Hisashi
Wang, Aili
Yan, Yueming
He, Zhonghu
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv bread wheat
low molecular weight glutenin
SDS-PAGE
2-DE
MALDI-TOF-MS
PCR
topic bread wheat
low molecular weight glutenin
SDS-PAGE
2-DE
MALDI-TOF-MS
PCR
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Background Low-molecular-weight glutenin subunits (LMW-GS) play a crucial role in determining end-use quality of common wheat by influencing the viscoelastic properties of dough. Four different methods - sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), two-dimensional gel electrophoresis (2-DE, IEF × SDS-PAGE), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and polymerase chain reaction (PCR), were used to characterize the LMW-GS composition in 103 cultivars from 12 countries. Results At the Glu-A3 locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles Glu-A3e and Glu-A3d could not be routinely distinguished from Glu-A3f and Glu-A3g, respectively, based on SDS-PAGE, and the allele Glu-A3a could not be differentiated from Glu-A3c by MALDI-TOF-MS. At the Glu-B3 locus, alleles Glu-B3a, Glu-B3b, Glu-B3c, Glu-B3g, Glu-B3h and Glu-B3j could be clearly identified by all four methods, whereas Glu-B3ab, Glu-B3ac, Glu-B3ad could only be identified by the 2-DE method. At the Glu-D3 locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the Glu-D3 alleles. Conclusions PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of Glu-A3 and Glu-B3 alleles in breeding programs. A combination of methods was required to identify certain alleles, and would be especially useful when characterizing new alleles. A standard set of 30 cultivars for use in future studies was chosen to represent all LMW-GS allelic variants in the collection. Among them, Chinese Spring, Opata 85, Seri 82 and Pavon 76 were recommended as a core set for use in SDS-PAGE gels. Glu-D3c and Glu-D3e are the same allele. Two new alleles, namely, Glu-D3m in cultivar Darius, and Glu-D3n in Fengmai 27, were identified by 2-DE. Utilization of the suggested standard cultivar set, seed of which is available from the CIMMYT and INRA Clermont-Ferrand germplasm collections, should also promote information sharing in the identification of individual LMW-GS and thus provide useful information for quality improvement in common wheat.
Fil: Liu, Li. Chinese Academy of Agricultural Sciences; China
Fil: Ikeda, Tatsuya M.. National Agriculture and Food Research Organization; Japón
Fil: Branlard, Gerard. Institut National de la Recherche Agronomique; Francia
Fil: Peña, Roberto J.. Centro Internacional de Mejoramiento de Maíz y Trigo; México
Fil: Rogers, William John. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lerner, Silvia E.. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Kolman, Maria de Los Angeles. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Xia, Xianchun. Chinese Academy of Agricultural Sciences; China
Fil: Wang, Linhai. Chinese Academy of Agricultural Sciences; China
Fil: Ma, Wujun. Murdoch University; Australia
Fil: Appels, Rudi. Murdoch University; Australia
Fil: Yoshida, Hisashi. National Agriculture and Food Research Organization; Japón
Fil: Wang, Aili. Capital Normal University; China
Fil: Yan, Yueming. Capital Normal University; China
Fil: He, Zhonghu. Chinese Academy of Agricultural Sciences; China. Centro Internacional de Mejoramiento de Maíz y Trigo; México
description Background Low-molecular-weight glutenin subunits (LMW-GS) play a crucial role in determining end-use quality of common wheat by influencing the viscoelastic properties of dough. Four different methods - sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), two-dimensional gel electrophoresis (2-DE, IEF × SDS-PAGE), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and polymerase chain reaction (PCR), were used to characterize the LMW-GS composition in 103 cultivars from 12 countries. Results At the Glu-A3 locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles Glu-A3e and Glu-A3d could not be routinely distinguished from Glu-A3f and Glu-A3g, respectively, based on SDS-PAGE, and the allele Glu-A3a could not be differentiated from Glu-A3c by MALDI-TOF-MS. At the Glu-B3 locus, alleles Glu-B3a, Glu-B3b, Glu-B3c, Glu-B3g, Glu-B3h and Glu-B3j could be clearly identified by all four methods, whereas Glu-B3ab, Glu-B3ac, Glu-B3ad could only be identified by the 2-DE method. At the Glu-D3 locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the Glu-D3 alleles. Conclusions PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of Glu-A3 and Glu-B3 alleles in breeding programs. A combination of methods was required to identify certain alleles, and would be especially useful when characterizing new alleles. A standard set of 30 cultivars for use in future studies was chosen to represent all LMW-GS allelic variants in the collection. Among them, Chinese Spring, Opata 85, Seri 82 and Pavon 76 were recommended as a core set for use in SDS-PAGE gels. Glu-D3c and Glu-D3e are the same allele. Two new alleles, namely, Glu-D3m in cultivar Darius, and Glu-D3n in Fengmai 27, were identified by 2-DE. Utilization of the suggested standard cultivar set, seed of which is available from the CIMMYT and INRA Clermont-Ferrand germplasm collections, should also promote information sharing in the identification of individual LMW-GS and thus provide useful information for quality improvement in common wheat.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
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/11336/15870
Liu, Li; Ikeda, Tatsuya M.; Branlard, Gerard; Peña, Roberto J.; Rogers, William John; et al.; Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat; Biomed Central; Bmc Plant Biology; 10; 6-2010; 124-148
1471-2229
url http://hdl.handle.net/11336/15870
identifier_str_mv Liu, Li; Ikeda, Tatsuya M.; Branlard, Gerard; Peña, Roberto J.; Rogers, William John; et al.; Comparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat; Biomed Central; Bmc Plant Biology; 10; 6-2010; 124-148
1471-2229
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.biomedcentral.com/1471-2229/10/124
info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2229-10-124
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
application/pdf
dc.publisher.none.fl_str_mv Biomed Central
publisher.none.fl_str_mv Biomed Central
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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
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