000 | 03088nam a22004217a 4500 | ||
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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 |
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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 |
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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. |
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700 | 1 |
_91980 _aAppels, R. |
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700 | 1 |
_aBranlard, G., _ecoaut. _91976 |
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700 | 1 |
_aHisashi Yoshida, _ecoaut. |
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700 | 1 |
_aKolman, M.A., _ecoaut. |
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700 | 1 |
_aLerner, S.E., _ecoaut. _91977 |
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700 | 1 |
_aLinhai Wang, _ecoaut. |
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700 | 1 |
_aRogers, W.J., _ecoaut. _91975 |
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700 | 1 |
_aTatsuya M Ikeda, _ecoaut. |
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700 | 1 |
_aWujun Ma, _ecoaut. _91979 |
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700 | 1 |
_aXianchun Xia, _ecoaut. _9377 |
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700 | 1 |
_aYueming Yan, _ecoaut. |
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700 | 1 |
_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838 |
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700 | 1 |
_aPeña-Bautista, R.J. _8INT0368 _gGlobal Wheat Program _9645 |
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942 | _cPRO | ||
999 |
_c8088 _d8088 |