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Bioinformation. 2009; 3(6): 279–281.
Published online Jan 12, 2009.
PMCID: PMC2646863
Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
Pala Suryapriya, Allada Snehalatha, Ulaganathan Kayalvili, Radha Krishna, Sukpal singh, and Kandasamy Ulaganathan*
Centre for Plant Molecular Biology, Osmania University, Hyderabad 500 007, India
*K. Ulaganathan: kulaganathan123/at/
Received December 11, 2008; Revised December 19, 2008; Accepted December 29, 2008.
Genetic control of root development in rice is complex and the underlying mechanisms (constitutive and adaptive) are poorly understood. Lowland and upland varieties of indica and japonica rice with contrasting root development characteristics have been crossed, mapping populations developed and a number of QTLs in different chromosomes were identified. As these studies have used different sets of markers and many of the QTLs identified are long, it is difficult to exploit the varietal difference for improved root traits by marker assisted selection and for identification of concerned alleles. Intensive data mining of literature resulted in the identification 861 root development QTLs and associated microsatellite markers located on different chromosomes. The QTL and marker data generated and the genome sequence of rice were used for construction of a relational database, Rootbrowse, using MySQL relational database management system and Bio::DB::GFF schema. The data is viewed using GBrowse visualization tool. It graphically displays a section of the genome and all features annotated on it including the QTLs. The QTLs can be displayed along with SSR markers, protein coding genes and/or known root development genes for prediction of probable candidate genes.
Rootbrowse is freely available at
Keywords: root development, rice, QTLs, candidate genes, auxin metabolism, gbrowse
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