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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-06-24

AUTHORS

Li Liu, Tatsuya M Ikeda, Gerard Branlard, Roberto J Peña, William J Rogers, Silvia E Lerner, María A Kolman, Xianchun Xia, Linhai Wang, Wujun Ma, Rudi Appels, Hisashi Yoshida, Aili Wang, Yueming Yan, Zhonghu He

ABSTRACT

BackgroundLow-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.ResultsAt 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.ConclusionsPCR 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. More... »

PAGES

124

References to SciGraph publications

  • 2004-01-16. Characterisation and marker development for low molecular weight glutenin genes from Glu-A3 alleles of bread wheat (Triticum aestivum. L) in THEORETICAL AND APPLIED GENETICS
  • 2003-09-13. HMW and LMW glutenin alleles among putative tetraploid and hexaploid European spelt wheat (Triticum spelta L.) progenitors in THEORETICAL AND APPLIED GENETICS
  • 2007-03-03. Identification of SNPs and development of functional markers for LMW-GS genes at Glu-D3 and Glu-B3 loci in bread wheat (Triticum aestivum L.) in MOLECULAR BREEDING
  • 2006-08-29. Characterization of three low-molecular-weight Glu-D3 subunit genes in common wheat in THEORETICAL AND APPLIED GENETICS
  • 1983-07. Characterisation of high molecular weight gliadin and low-molecular-weight glutenin subunits of wheat endosperm by two-dimensional electrophoresis and the chromosomal localisation of their controlling genes in THEORETICAL AND APPLIED GENETICS
  • 2005-11-11. Characterization of low-molecular-weight glutenin subunit genes and their protein products in common wheats in THEORETICAL AND APPLIED GENETICS
  • 2009-04-15. The wheat ω-gliadin genes: structure and EST analysis in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2002-03. Identification of new low-molecular-weight glutenin subunit genes in wheat in THEORETICAL AND APPLIED GENETICS
  • 2001-05. Genetic diversity of wheat storage proteins and bread wheat quality in EUPHYTICA
  • 2006-11-15. Novel DNA variations to characterize low molecular weight glutenin Glu-D3 genes and develop STS markers in common wheat in THEORETICAL AND APPLIED GENETICS
  • 2008-11-07. Characterization of low-molecular-weight glutenin subunit Glu-B3 genes and development of STS markers in common wheat (Triticumaestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2002-02. Characterisation and chromosomal localisation of C-type low-molecular-weight glutenin subunits in the bread wheat cultivar Chinese Spring in THEORETICAL AND APPLIED GENETICS
  • 2003-11. Allelic diversity of HMW and LMW glutenin subunits and omega-gliadins in French bread wheat (Triticum aestivum L.) in GENETIC RESOURCES AND CROP EVOLUTION
  • 2001-05. Comparison of low- and high molecular-weight wheat glutenin allele effects on flour quality in THEORETICAL AND APPLIED GENETICS
  • 1988-04. Linkage mapping of genes controlling endosperm storage proteins in wheat in THEORETICAL AND APPLIED GENETICS
  • 1990-07. Two-step one-dimensional SDS-PAGE analysis of LMW subunits of glutelin in THEORETICAL AND APPLIED GENETICS
  • 2005-04. Allelic variation at the Glu-1 and Glu-3 loci, presence of the 1B.1R translocation, and their effects on mixographic properties in Chinese bread wheats in EUPHYTICA
  • Journal

    TITLE

    BMC Plant Biology

    ISSUE

    1

    VOLUME

    10

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2229-10-124

    DOI

    http://dx.doi.org/10.1186/1471-2229-10-124

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1026224622

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20573275


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