Molecular Breeding

, Volume 30, Issue 1, pp 429–439

Integration of EST-SSR markers of Medicago truncatula into intraspecific linkage map of lentil and identification of QTL conferring resistance to ascochyta blight at seedling and pod stages

Authors

    • Department of Crop ImprovementCSK Himachal Pradesh Agricultural University
  • P. W. J. Taylor
    • Biomarka/Centre for Plant Health, Melbourne School of Land and EnvironmentUniversity of Melbourne
  • P. Inder
    • Biomarka/Centre for Plant Health, Melbourne School of Land and EnvironmentUniversity of Melbourne
  • H. T. T. Phan
    • State Agricultural Biotechnology CentreMurdoch University
  • S. R. Ellwood
    • Department of Environment and AgricultureCurtin University
  • P. N. Mathur
    • Bioversity International
  • A. Sarker
    • International Center for Agricultural Research in Dry Areas (ICARDA)
  • R. Ford
    • Biomarka/Centre for Plant Health, Melbourne School of Land and EnvironmentUniversity of Melbourne
Article

DOI: 10.1007/s11032-011-9634-2

Cite this article as:
Gupta, D., Taylor, P.W.J., Inder, P. et al. Mol Breeding (2012) 30: 429. doi:10.1007/s11032-011-9634-2

Abstract

Microsatellite markers have been extensively utilised in the leguminosae for genome mapping and identifying major loci governing traits of interest for eventual marker-assisted selection (MAS). The lack of available lentil-specific microsatellite sequences and gene-based markers instigated the mining and transfer of expressed sequence tag simple sequence repeat (EST-SSR)/SSR sequences from the model genome Medicago truncatula, to enrich an existing intraspecific lentil genetic map. A total of 196 markers, including new 15 M. truncatula EST-SSR/SSR, were mapped using a population of 94 F5 recombinant inbred lines produced from a cross between cv. Northfield (ILL5588) × cv. Digger (ILL5722) and clustered into 11 linkage groups (LG) covering 1156.4 cM. Subsequently, the size and effects of quantitative trait loci (QTL) conditioning Ascochyta lentis resistance at seedling and pod/maturity stages were characterised and compared. Three QTL were detected for seedling resistance on LG1 and LG9 and a further three were detected for pod/maturity resistance on LG1, LG4 and LG5. Together, these accounted for 34 and 61% of the total estimated phenotypic variation, respectively, and demonstrated that resistance at the different growth stages is potentially conditioned by different genomic regions. The flanking markers identified may be useful for MAS and for the future pyramiding of potentially different resistance genes into elite backgrounds that are resistant throughout the cropping season.

Keywords

Ascochyta blightEST-SSR/SSRLentilGenetic mapMedicago truncatulaQTL

Abbreviations

AUDPC

Area under the disease progress curve

DAI

Days after inoculation

VicDPI

Victorian Department of Primary Industries

Copyright information

© Springer Science+Business Media B.V. 2011