Log on / register
Feedback | Support | My details
Open AccessHighly AccessResearch article

A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits

Peter Wenzl1,2 email, Haobing Li3 email, Jason Carling1,2 email, Meixue Zhou4 email, Harsh Raman5 email, Edie Paul6 email, Phillippa Hearnden7 email, Christina Maier8 email, Ling Xia1,2 email, Vanessa Caig1,2 email, Jaroslava Ovesná9 email, Mehmet Cakir10 email, David Poulsen11 email, Junping Wang5 email, Rosy Raman5 email, Kevin P Smith12 email, Gary J Muehlbauer12 email, Ken J Chalmers7 email, Andris Kleinhofs8 email, Eric Huttner1,2 email and Andrzej Kilian1,2 email

Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia

DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia

School of Agricultural Science, University of Tasmania, PO Box 252-54, Hobart TAS 7001, Australia

Tasmanian Institute of Agricultural Research, PO Box 46, Kings Meadows TAS 7249, Australia

NSW Agricultural Genomics Centre and NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga NSW 2650, Australia

GeneFlow Inc., 14582 Olde Kent Rd., Centreville VA 20120, USA

School of Agriculture, Food and Wine, Plant Genomics Centre, The University of Adelaide, PMB1, Glen Osmond SA 5064, Australia

Dept. Crop and Soil Sciences and School of Molecular Biosciences, Washington State University, Pullman WA 99164-6420, USA

Research Institute of Crop Production, Drnovská 507, 161 06 Prague 6, Czech Republic

10  Molecular Plant Breeding CRC, WA State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA 6150, Australia

11  Department of Primary Industries & Fisheries, Plant Science, MS 508 Warwick, QLD 4370, Australia

12  Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA

author email corresponding author email

BMC Genomics 2006, 7:206doi:10.1186/1471-2164-7-206

Published: 12 August 2006

Abstract

Background

Molecular marker technologies are undergoing a transition from largely serial assays measuring DNA fragment sizes to hybridization-based technologies with high multiplexing levels. Diversity Arrays Technology (DArT) is a hybridization-based technology that is increasingly being adopted by barley researchers. There is a need to integrate the information generated by DArT with previous data produced with gel-based marker technologies. The goal of this study was to build a high-density consensus linkage map from the combined datasets of ten populations, most of which were simultaneously typed with DArT and Simple Sequence Repeat (SSR), Restriction Enzyme Fragment Polymorphism (RFLP) and/or Sequence Tagged Site (STS) markers.

Results

The consensus map, built using a combination of JoinMap 3.0 software and several purpose-built perl scripts, comprised 2,935 loci (2,085 DArT, 850 other loci) and spanned 1,161 cM. It contained a total of 1,629 'bins' (unique loci), with an average inter-bin distance of 0.7 ± 1.0 cM (median = 0.3 cM). More than 98% of the map could be covered with a single DArT assay. The arrangement of loci was very similar to, and almost as optimal as, the arrangement of loci in component maps built for individual populations. The locus order of a synthetic map derived from merging the component maps without considering the segregation data was only slightly inferior. The distribution of loci along chromosomes indicated centromeric suppression of recombination in all chromosomes except 5H. DArT markers appeared to have a moderate tendency toward hypomethylated, gene-rich regions in distal chromosome areas. On the average, 14 ± 9 DArT loci were identified within 5 cM on either side of SSR, RFLP or STS loci previously identified as linked to agricultural traits.

Conclusion

Our barley consensus map provides a framework for transferring genetic information between different marker systems and for deploying DArT markers in molecular breeding schemes. The study also highlights the need for improved software for building consensus maps from high-density segregation data of multiple populations.


© 1999-2010 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.