000 03206nab a22004697a 4500
001 G94554
003 MX-TxCIM
005 20230728224238.0
008 210805t2010 gw |||p|op||| 00| 0 eng d
022 _a1432-2242 (Online)
022 _a0040-5752
024 8 _ahttps://doi.org/10.1007/s00122-010-1323-8
040 _aMX-TxCIM
041 _aeng
090 _aCIS-6125
100 1 _9885
_aWenzl, P.
_gGenetic Resources Program
_8INT3049
245 1 0 _aIsolated chromosomes as a new and efficient source of DArT markers for the saturation of genetic maps
260 _aBerlin (Germany) :
_bSpringer,
_c2010.
500 _aPeer review
500 _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
520 _aWe describe how the diversity arrays technology (DArT) can be coupled with chromosome sorting to increase the density of genetic maps in specific genome regions. Chromosome 3B and the short arm of chromosome 1B (1BS) of wheat were isolated by flow cytometric sorting and used to develop chromosome- and chromosome arm-enriched genotyping arrays containing 2,688 3B clones and 384 1BS clones. Linkage analysis showed that 553 of the 711 polymorphic 3B-derived markers (78%) mapped to chromosome 3B, and 59 of the 68 polymorphic 1BS-derived markers (87%) mapped to chromosome 1BS, confirming the efficiency of the chromosome-sorting approach. To demonstrate the potential for saturation of genetic maps, we constructed a consensus map of chromosome 3B using 19 mapping populations, including some that were genotyped with the 3B-enriched array. The 3B-derived DArT markers doubled the number of genetic loci covered. The resulting consensus map, probably the densest genetic map of 3B available to this date, contains 939 markers (779 DArTs and 160 other markers) that segregate on 304 genetically distinct loci. Importantly, only 2,688 3B-derived clones (probes) had to be screened to obtain almost twice as many polymorphic 3B markers (510) as identified by screening approximately 70,000 whole genome-derived clones (269). Since an enriched DArT array can be developed from less than 5 ng of chromosomal DNA, a quantity which can be obtained within 1 h of sorting, this approach can be readily applied to any crop for which chromosome sorting is available.
536 _aGenetic Resources Program
546 _aText in English
591 _aSpringer
594 _aINT3049
650 7 _2AGROVOC
_91130
_aGenetics
650 7 _2AGROVOC
_92084
_aChromosome mapping
650 7 _2AGROVOC
_94190
_aGenetic maps
700 1 _921890
_aSuchánková, P.
700 1 _9456
_aCarling, J.
700 1 _921891
_aŠimková, H.
700 1 _910451
_aHuttner, E.
700 1 _921892
_aKubaláková, M.
700 1 _921893
_aSourdille, P.
700 1 _921894
_aPaul, E.
700 1 _95160
_aFeuillet, C.
700 1 _91409
_aKilian, A.
700 1 _921895
_aDoležel, J.
773 0 _tTheoretical and Applied Genetics
_gv. 121, no. 3, p. 465-474
_dBerlin (Germany) : Springer, 2010.
_wG444762
_x0040-5752
856 4 _yAccess only for CIMMYT Staff
_uhttps://hdl.handle.net/20.500.12665/287
942 _cJA
_2ddc
_n0
999 _c28293
_d28293