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Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse

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 nu...

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Autores principales: Suryapriya, Pala, Snehalatha, Allada, Kayalvili, Ulaganathan, Krishna, Radha, singh, Sukpal, Ulaganathan, Kandasamy
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646863/
https://www.ncbi.nlm.nih.gov/pubmed/19255649
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author Suryapriya, Pala
Snehalatha, Allada
Kayalvili, Ulaganathan
Krishna, Radha
singh, Sukpal
Ulaganathan, Kandasamy
author_facet Suryapriya, Pala
Snehalatha, Allada
Kayalvili, Ulaganathan
Krishna, Radha
singh, Sukpal
Ulaganathan, Kandasamy
author_sort Suryapriya, Pala
collection PubMed
description 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. AVAILABILITY: Rootbrowse is freely available at http://www.ricebrowse.org
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spelling pubmed-26468632009-03-02 Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse Suryapriya, Pala Snehalatha, Allada Kayalvili, Ulaganathan Krishna, Radha singh, Sukpal Ulaganathan, Kandasamy Bioinformation Database 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. AVAILABILITY: Rootbrowse is freely available at http://www.ricebrowse.org Biomedical Informatics Publishing Group 2009-01-12 /pmc/articles/PMC2646863/ /pubmed/19255649 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Database
Suryapriya, Pala
Snehalatha, Allada
Kayalvili, Ulaganathan
Krishna, Radha
singh, Sukpal
Ulaganathan, Kandasamy
Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title_full Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title_fullStr Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title_full_unstemmed Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title_short Genome‐wide analyses of rice root development QTLs and development of an online resource, Rootbrowse
title_sort genome‐wide analyses of rice root development qtls and development of an online resource, rootbrowse
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646863/
https://www.ncbi.nlm.nih.gov/pubmed/19255649
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