000 03200nam a22004697a 4500
001 G74651
003 MX-TxCIM
005 20240919021055.0
008 121211s ||||f| 0 p|p||0|| |
020 _a9974-7586-1-0
040 _aMX-TxCIM
072 0 _aA50
072 0 _aF30
082 0 4 _a633.1153
_bKOH
100 1 _aManifesto, M.M.
_uApplication of Biotechnologies to Wheat Breeding. Proceedings of the Conference; La Estanzuela, Colonia, Uruguay; 19-20 Nov 1998
110 2 _aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Mexico DF (Mexico)
245 0 0 _aMicrosatellites in wheat:
_b an useful tool for variety identification and breeding
260 _aMontevideo (Uruguay)
_bCIMMYT :
_c2000
300 _a85-102
340 _aPrinted
520 _aThousands of hypervariable regions called microsatellites or simple sequence repeats (SSR), present in plant and animal genomes, are characterized by two to four pairs of bases in tandem repeats. These loci can be amplified through Polymerase Chain Reaction (PCR) using specific primers (18-20 pb long), which recognize unique flanking sequences of the hypervariable regions. Abundant variability present within these loci together with loci specificity and its codominant nature makes this kind of marker a powerful tool for wheat research. In this study the microsatellite markers were evaluated as a potential tool for finger printing of the wheat cultivars and for the studies on genetic variability.||Microsatellites, located at different chromosomes, were used to analyze a set of 105 bread wheat varieties from Argentina. Variability for each microsatellite locus was measured using the Polymorphism Information Content (PIC). PIC values for the different loci varied between 0.40 and 0.84. These values were compared with those obtained through RFLP in the same set of varieties, that reached an average value of 0.46 for the HMW-GS loci. These results suggest that microsatellite markers were an appropriate tool to discriminate this set of varieties.||Closely related varieties, that present high similarity coefficients, can be discriminated using selected microsatellites. Finally, a subset of microsatellites was used to construct an Identity Matrix for the registered bread wheat cultivars that will allow an unequivocal identification of each variety. The chromosome location, range in size, number of alleles and PIC of each microsatellite loci were parameters used to build the Identity Matrix mentioned above.
546 _aEnglish
591 _a0105|AL-Wheat Program|AGRIS 0102
593 _aJose Juan Caballero
595 _aCPC
650 1 0 _aDNA
650 1 0 _aGenetic maps
650 1 0 _91848
_aGenetic markers
_gAGROVOC
650 1 7 _aGenetic variation
_gAGROVOC
_2
_91129
650 1 0 _aIdentification
650 1 0 _aPlant physiology
_91210
650 1 0 _aSelection
653 0 _aCIMMYT
650 1 7 _aTriticum
_gAGROVOC
_2
_91295
650 1 7 _aPlant breeding
_gAGROVOC
_2
_91203
700 1 _aDubcovsky, J.,
_ecoaut.
700 1 _aHopp, H.E.,
_ecoaut.
700 1 _aKohli, M.M.|Francis, M.
_eeds.
700 1 _aSchlatter, A.R.,
_ecoaut.
700 1 _aSuárez, E.Y.,
_ecoaut.
942 _cPRO
999 _c5215
_d5215