Chalmers, K. J. and Campbell, A. W. and Kretschmer, J. and Karakousis, A. and Henschke, P. H. and Pierens, S. and Harker, N. and Pallotta, M. and Cornish, G. B. and Sharifiou, M. R. and Rampling, L. R. and McLauchlan, A. and Daggard, G. and Sharp, P. J. and Holton, T. A. and Sutherland, M. W. and Appels, R. and Langridge, P. (2001) Construction of three linkage maps in bread wheat, Triticum aestivum. Australian Journal of Agricultural Research, 52 (12). pp. 1089-1119. ISSN 0004-9409
Genetic maps were compiled from the analysis of 160–180 doubled haploid lines derived from 3 crosses: Cranbrook Halberd, CD87 Katepwa, and Sunco Tasman. The parental wheat lines covered a wide range of the germplasm used in Australian wheat breeding. The linkage maps were constructed with RFLP, AFLP, microsatellite markers, known genes, and proteins. The numbers of markers placed on each map were 902 for Cranbrook Halberd, 505 for CD87 Katepwa, and 355 for Sunco Tasman. Most of the expected linkage groups could be determined, but 10–20% of markers could not be assigned to a specific linkage group. Homologous chromosomes could be aligned between the populations described here and linkage groups reported in the literature, based around the RFLP, protein, and microsatellite markers. For most chromosomes, colinearity of markers was found for the maps reported here and those recorded on published physical maps of wheat. AFLP markers proved to be effective in filling gaps in the maps. In addition, it was found that many AFLP markers defined specific genetic loci in wheat across all 3 populations.
The quality of the maps and the density of markers differs for each population. Some chromosomes, particularly D genome chromosomes, are poorly covered. There was also evidence of segregation distortion in some regions, and the distribution of recombination events was uneven, with substantial numbers of doubled haploid lines in each population displaying one or more parental chromosomes. These features will affect the reliability of the maps in localising loci controlling some traits, particularly complex quantitative traits and traits of low heritability.
The parents used to develop the mapping populations were selected based on their quality characteristics and the maps provide a basis for the analysis of the genetic control of components of processing quality. However, the parents also differ in resistance to several important diseases, in a range of physiological traits, and in tolerance to some abiotic stresses.
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|Item Type:||Article (Commonwealth Reporting Category C)|
|Item Status:||Live Archive|
|Additional Information (displayed to public):||© CSIRO 2001. Author version not held. Published version cannot be displayed. See Publisher's link to published version.|
|Depositing User:||epEditor USQ|
|Faculty / Department / School:||Historic - Faculty of Sciences - No Department|
|Date Deposited:||16 Nov 2007 05:01|
|Last Modified:||28 Oct 2013 01:23|
|Uncontrolled Keywords:||genetic map;, RFLP; AFLP; microsatellites; map alignment; non-recombinant chromosomes|
|Fields of Research (FoR):||06 Biological Sciences > 0604 Genetics > 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
10 Technology > 1001 Agricultural Biotechnology > 100105 Genetically Modified Field Crops and Pasture
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding)
|Socio-Economic Objective (SEO):||E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences|
|Identification Number or DOI:||10.1071/AR01081|
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