000 03727 ab a22005897a 4500
999 _c56897
_d56889
001 a56897
003 MX-TxCIM
005 20191009215557.0
008 150521s2015 enk|||p|sp||| 00| 0 eng d
024 8 _ahttps://doi.org/10.1186/s12864-015-1424-5
040 _aMX-TxCIM
041 _aeng
100 1 _9764
_aHuihui Li
_gGenetic Resources Program
_8CLIH01
245 1 0 _aA high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
_h[Electronic Resource]
260 _aLondon :
_bBioMed Central,
_c2015.
500 _aOpen Access
500 _aPeer review
520 _aBackground: Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage mapping to construct a consensus map containing 28644 GBS markers. Results: Three RIL populations, PBW343 × Kingbird, PBW343 × Kenya Swara and PBW343 × Muu, which share a common parent, were used to minimize the impact of potential structural genomic variation on consensus-map quality. The consensus map comprised 3757 unique positions, and the average marker distance was 0.88 cM, obtained by calculating the average distance between two adjacent unique positions. Significant variation of segregation distortion was observed across the three populations. The consensus map was validated by comparing positions of known rust resistance genes, and comparing them to wheat reference genome sequences recently published by the International Wheat Genome Sequencing Consortium, Rye and Ae. tauschii genomes. Three well-characterized rust resistance genes (Sr58/Lr46/Yr29, Sr2/Yr30/Lr27, and Sr57/Lr34/Yr18) and 15 published QTLs for wheat rusts were validated with high resolution. Fifty-two per cent of GBS tags on the consensus map were successfully aligned through BLAST to the right chromosomes on the wheat reference genome sequence. Conclusion: The consensus map should provide a useful basis for analyzing genome-wide variation of complex traits. The identified genes can then be explored as genetic markers to be used in genomic applications in wheat breeding.
536 _aGenetic Resources Program
536 _aGlobal Wheat Program
546 _aText in english
591 _bCIMMYT Informa No. 1936
594 _aCLIH01
594 _aI1705725
594 _aINT0610
594 _aINT3239
594 _aINT2843
594 _aINT1422
594 _aINT3332
594 _aINT3049
594 _aINT3098
650 0 _aConsensus map
_91053
650 0 _aGenotyping-by-sequencing (GBS)
_91135
650 0 _aQTL mapping
_91230
650 0 _aRust resistance
_91250
650 0 _aSegregation distortion
_91254
650 7 _aWheat
_91310
_2AGROVOC
650 7 _aQuantitative Trait Loci
_91853
_2AGROVOC
650 7 _aRusts
_91251
_2AGROVOC
650 7 _aDisease resistance
_91077
_2AGROVOC
650 7 _aChromosome mapping
_92084
_2AGROVOC
650 7 _aDNA Sequence
_98666
_2AGROVOC
700 1 _91409
_aKilian, A.
700 1 _9456
_aCarling, J.
700 1 _9705
_aSong, J.
700 1 _9397
_aHuerta-Espino, J.
700 1 _9785
_aVikram, P.
_gGenetic Resources Program
_8I1705725
700 1 _9828
_aPayne, T.S.
_gGenetic Resources Program
_8INT1422
700 1 _9885
_aWenzl, P.
_gGenetic Resources Program
_8INT3049
700 1 _9892
_aSukhwinder-Singh
_gGenetic Resources Program
_8INT3098
700 1 _9907
_aBurgueño, J.
_gGenetic Resources Program
_8INT3239
700 1 _9825
_aSingh, R.P.
_gGlobal Wheat Program
_8INT0610
700 1 _9867
_aBhavani, S.
_gGlobal Wheat Program
_8INT2843
700 1 _9922
_aSehgal, D.
_gGlobal Wheat Program
_8INT3332
773 0 _wu56896
_x1471-2164
_dLondon : BioMed Central.
_tBMC Genomics
_gv. 16, p. 216
856 4 _yAccess only for CIMMYT Staff
_uhttp://hdl.handle.net/10883/4582
942 _2ddc
_cJA
_n0