A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits
2006

High-Density Consensus Map of Barley

Sample size: 911 publication Evidence: high

Author Information

Author(s): Wenzl Peter, Li Haobing, Carling Jason, Zhou Meixue, Raman Harsh, Paul Edie, Hearnden Phillippa, Maier Christina, Xia Ling, Caig Vanessa, Ovesná Jaroslava, Cakir Mehmet, Poulsen David, Wang Junping, Raman Rosy, Smith Kevin P, Muehlbauer Gary J, Chalmers Ken J, Kleinhofs Andris, Huttner Eric, Kilian Andrzej

Hypothesis

The study aims to integrate DArT markers with previous data from other marker technologies to create a high-density consensus linkage map.

Conclusion

The barley consensus map provides a framework for transferring genetic information between different marker systems and for deploying DArT markers in molecular breeding schemes.

Supporting Evidence

  • The consensus map comprised 2,935 loci and spanned 1,161 cM.
  • More than 98% of the map could be covered with a single DArT assay.
  • On average, 14 DArT loci were identified within 5 cM of SSR, RFLP, or STS loci linked to agricultural traits.
  • The study highlighted the need for improved software for building consensus maps from high-density segregation data.
  • The DArT markers showed a tendency toward gene-rich regions in distal chromosome areas.

Takeaway

This study created a detailed map of barley's genes to help scientists and farmers breed better barley plants.

Methodology

The consensus map was built using JoinMap software and perl scripts from combined datasets of ten populations, integrating DArT with SSR, RFLP, and STS markers.

Potential Biases

Potential DNA sample tracking errors and genotyping errors may have affected the results.

Limitations

The performance of available software for building consensus maps was insufficient for high-density datasets.

Participant Demographics

The study involved ten barley populations with varying methods of development.

Statistical Information

P-Value

p<0.016

Statistical Significance

p<0.016

Digital Object Identifier (DOI)

10.1186/1471-2164-7-206

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