Theoretical and Applied Genetics

, Volume 117, Issue 2, pp 283–296 | Cite as

Development of genic-microsatellite markers for sorghum staygreen QTL using a comparative genomic approach with rice

  • G. Srinivas
  • K. Satish
  • S. Murali Mohan
  • R. Nagaraja Reddy
  • R. Madhusudhana
  • D. Balakrishna
  • B. Venkatesh Bhat
  • C. J. Howarth
  • N. Seetharama
Original Paper


The already available comprehensive genome sequence information of model crops along with the transcriptomic resource from other crops provides an excellent opportunity for comparative genome analysis. We studied the synteny between each of the four major sorghum staygreen quantitative trait loci (QTL) regions with that in the rice genome and attempted to increase marker density around the QTL with genic-microsatellites from the sorghum transcriptomic resource using the rice genome as template. For each of the sorghum QTL regions, the reported RFLP markers were compiled, used for sequence similarity searches against the rice genome which identified syntenous regions on rice chromosome 1 for Stg1 and Stg2 QTL, on chromosome 9 for Stg3 QTL, and on chromosome 11 for Stg4 QTL. Using the Gramene genome browsing tool, 869 non-redundant sorghum expressed sequence tags (ESTs) were selected and 50 genic-microsatellites (18, 12, 15, and 5, for Stg1, Stg2, Stg3, and Stg4 QTL, respectively) could be developed. We could experimentally establish synteny of the Stg1, Stg2, Stg3, and Stg4 QTL regions with that of the rice genome by mapping ten polymorphic genic-microsatellite markers (20%) to the positions of the staygreen QTL. The simple strategy demonstrated in the present study could readily be extrapolated to other cereals of the Poaceae family. The markers developed in this study provide a basis for the isolation of genes underling these QTL using an association study or map-based gene isolation approach, and create an additional option for MAS of the staygreen trait in sorghum.


Quantitative Trait Locus Linkage Group Sorghum Rice Genome Rice Chromosome 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are thankful to unanimous reviewers for their critical suggestions for improving the manuscript. The First and Second authors would like to thank The Council of Scientific and Industrial Research (CSIR), Government of India, New Delhi, for providing assistance in the form of Senior Research Fellowship for their doctoral programme. The authors wish to thank Dr. B.V.S Reddy, Principal Scientist, ICRISAT, India for providing the mapping population.


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • G. Srinivas
    • 1
  • K. Satish
    • 1
  • S. Murali Mohan
    • 1
  • R. Nagaraja Reddy
    • 1
  • R. Madhusudhana
    • 1
  • D. Balakrishna
    • 1
  • B. Venkatesh Bhat
    • 1
  • C. J. Howarth
    • 2
  • N. Seetharama
    • 1
  1. 1.National Research Center for SorghumHyderabadIndia
  2. 2.Institute of Grassland and Environmental ResearchAberystwythUK

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