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, John William; Lerner, Silvia E.; Kolman, Maía 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 enviada
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 theGlu-A3locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the allelesGlu-A3eandGlu-A3dcould not be routinely distinguished fromGlu-A3fandGlu-A3g, respectively, based on SDS-PAGE, and the alleleGlu-A3acould not be differentiated fromGlu-A3cby MALDI-TOF-MS. At theGlu-B3locus, allelesGlu-B3a,Glu-B3b,Glu-B3c,Glu-B3g,Glu-B3handGlu-B3jcould be clearly identified by all four methods, whereasGlu-B3ab,Glu-B3ac,Glu-B3adcould only be identified by the 2-DE method. At theGlu-D3locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify theGlu-D3alleles. Conclusions PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification ofGlu-A3andGlu-B3alleles 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-D3candGlu-D3eare the same allele. Two new alleles, namely,Glu-D3min cultivar Darius, andGlu-D3nin 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.
Materia
Agronomía, reproducción y protección de plantas
Common Wheat
Glutenin Subunit
Standard Cultivar
Glutenin Protein
Glutenin Extract
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/7137

id CICBA_6cdda855c1ee505fb01a4708b0e29152
oai_identifier_str oai:digital.cic.gba.gob.ar:11746/7137
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
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, John WilliamLerner, Silvia E.Kolman, Maía de Los AngelesXia, XianchunWang, LinhaiMa, WujunAppels, RudiYoshida, HisashiWang, AiliYan, YuemingHe, ZhonghuAgronomía, reproducción y protección de plantasCommon WheatGlutenin SubunitStandard CultivarGlutenin ProteinGlutenin Extract<strong>Background</strong> 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. <strong>Results</strong> At the<em>Glu-A3</em>locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles<em>Glu-A3e</em>and<em>Glu-A3d</em>could not be routinely distinguished from<em>Glu-A3f</em>and<em>Glu-A3g</em>, respectively, based on SDS-PAGE, and the allele<em>Glu-A3a</em>could not be differentiated from<em>Glu-A3c</em>by MALDI-TOF-MS. At the<em>Glu-B3</em>locus, alleles<em>Glu-B3a</em>,<em>Glu-B3b</em>,<em>Glu-B3c</em>,<em>Glu-B3g</em>,<em>Glu-B3h</em>and<em>Glu-B3j</em>could be clearly identified by all four methods, whereas<em>Glu-B3ab</em>,<em>Glu-B3ac</em>,<em>Glu-B3ad</em>could only be identified by the 2-DE method. At the<em>Glu-D3</em>locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the<em>Glu-D3</em>alleles. <strong>Conclusions</strong> PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of<em>Glu-A3</em>and<em>Glu-B3</em>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.<em>Glu-D3c</em>and<em>Glu-D3e</em>are the same allele. Two new alleles, namely,<em>Glu-D3m</em>in cultivar Darius, and<em>Glu-D3n</em>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.2010info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/7137enginfo:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2229-10-124info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:47Zoai:digital.cic.gba.gob.ar:11746/7137Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:47.827CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
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
Agronomía, reproducción y protección de plantas
Common Wheat
Glutenin Subunit
Standard Cultivar
Glutenin Protein
Glutenin Extract
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, John William
Lerner, Silvia E.
Kolman, Maía 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, John William
Lerner, Silvia E.
Kolman, Maía 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, John William
Lerner, Silvia E.
Kolman, Maía 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 Agronomía, reproducción y protección de plantas
Common Wheat
Glutenin Subunit
Standard Cultivar
Glutenin Protein
Glutenin Extract
topic Agronomía, reproducción y protección de plantas
Common Wheat
Glutenin Subunit
Standard Cultivar
Glutenin Protein
Glutenin Extract
dc.description.none.fl_txt_mv <strong>Background</strong> 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. <strong>Results</strong> At the<em>Glu-A3</em>locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles<em>Glu-A3e</em>and<em>Glu-A3d</em>could not be routinely distinguished from<em>Glu-A3f</em>and<em>Glu-A3g</em>, respectively, based on SDS-PAGE, and the allele<em>Glu-A3a</em>could not be differentiated from<em>Glu-A3c</em>by MALDI-TOF-MS. At the<em>Glu-B3</em>locus, alleles<em>Glu-B3a</em>,<em>Glu-B3b</em>,<em>Glu-B3c</em>,<em>Glu-B3g</em>,<em>Glu-B3h</em>and<em>Glu-B3j</em>could be clearly identified by all four methods, whereas<em>Glu-B3ab</em>,<em>Glu-B3ac</em>,<em>Glu-B3ad</em>could only be identified by the 2-DE method. At the<em>Glu-D3</em>locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the<em>Glu-D3</em>alleles. <strong>Conclusions</strong> PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of<em>Glu-A3</em>and<em>Glu-B3</em>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.<em>Glu-D3c</em>and<em>Glu-D3e</em>are the same allele. Two new alleles, namely,<em>Glu-D3m</em>in cultivar Darius, and<em>Glu-D3n</em>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.
description <strong>Background</strong> 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. <strong>Results</strong> At the<em>Glu-A3</em>locus, all seven alleles could be reliably identified by 2-DE and PCR. However, the alleles<em>Glu-A3e</em>and<em>Glu-A3d</em>could not be routinely distinguished from<em>Glu-A3f</em>and<em>Glu-A3g</em>, respectively, based on SDS-PAGE, and the allele<em>Glu-A3a</em>could not be differentiated from<em>Glu-A3c</em>by MALDI-TOF-MS. At the<em>Glu-B3</em>locus, alleles<em>Glu-B3a</em>,<em>Glu-B3b</em>,<em>Glu-B3c</em>,<em>Glu-B3g</em>,<em>Glu-B3h</em>and<em>Glu-B3j</em>could be clearly identified by all four methods, whereas<em>Glu-B3ab</em>,<em>Glu-B3ac</em>,<em>Glu-B3ad</em>could only be identified by the 2-DE method. At the<em>Glu-D3</em>locus, allelic identification was problematic for the electrophoresis based methods and PCR. MALDI-TOF-MS has the potential to reliably identify the<em>Glu-D3</em>alleles. <strong>Conclusions</strong> PCR is the simplest, most accurate, lowest cost, and therefore recommended method for identification of<em>Glu-A3</em>and<em>Glu-B3</em>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.<em>Glu-D3c</em>and<em>Glu-D3e</em>are the same allele. Two new alleles, namely,<em>Glu-D3m</em>in cultivar Darius, and<em>Glu-D3n</em>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
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/7137
url https://digital.cic.gba.gob.ar/handle/11746/7137
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2229-10-124
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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