000 03088nam a22004217a 4500
001 G94887
003 MX-TxCIM
005 20211006082355.0
008 121211s ||||f| 0 p|p||0|| |
040 _aMX-TxCIM
090 _aCIS-6278
100 1 _aLi Liu
_uInternational Triticeae Mapping Initiative 20; Wheat Genomics in China 2; Beijing (China); 1-5 Sep 2010
245 0 0 _aComparison of low molecular weight glutenin subunits identified by SDS-PAGE, 2-DE, MALDI-TOF-MS and PCR in common wheat
260 _aBeijing (China)
_bChinese Academy of Agricultural Sciences :
_c2010
300 _ap. 196
500 _aAbstract only
520 _aAt 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. 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.
536 _aGlobal Wheat Program
546 _aEnglish
593 _aLucia Segura
594 _aINT2411|INT0368
595 _aCSC
700 1 _aAili Wang,
_ecoaut.
700 1 _91980
_aAppels, R.
700 1 _aBranlard, G.,
_ecoaut.
_91976
700 1 _aHisashi Yoshida,
_ecoaut.
700 1 _aKolman, M.A.,
_ecoaut.
700 1 _aLerner, S.E.,
_ecoaut.
_91977
700 1 _aLinhai Wang,
_ecoaut.
700 1 _aRogers, W.J.,
_ecoaut.
_91975
700 1 _aTatsuya M Ikeda,
_ecoaut.
700 1 _aWujun Ma,
_ecoaut.
_91979
700 1 _aXianchun Xia,
_ecoaut.
_9377
700 1 _aYueming Yan,
_ecoaut.
700 1 _aHe Zhonghu
_gGlobal Wheat Program
_8INT2411
_9838
700 1 _aPeña-Bautista, R.J.
_8INT0368
_gGlobal Wheat Program
_9645
942 _cPRO
999 _c8088
_d8088