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Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon

BACKGROUND: Cultivated rice (Oryza sativa L.) is endowed with a rich genetic variability. In spite of such a great diversity, the modern rice cultivars have narrow genetic base for most of the agronomically important traits. To sustain the demand of an ever increasing population, new avenues have to...

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Autores principales: Marri, Pradeep Reddy, N, Sarla, Reddy, Laxminarayana V, Siddiq, EA
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1181812/
https://www.ncbi.nlm.nih.gov/pubmed/15949048
http://dx.doi.org/10.1186/1471-2156-6-33
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author Marri, Pradeep Reddy
N, Sarla
Reddy, Laxminarayana V
Siddiq, EA
author_facet Marri, Pradeep Reddy
N, Sarla
Reddy, Laxminarayana V
Siddiq, EA
author_sort Marri, Pradeep Reddy
collection PubMed
description BACKGROUND: Cultivated rice (Oryza sativa L.) is endowed with a rich genetic variability. In spite of such a great diversity, the modern rice cultivars have narrow genetic base for most of the agronomically important traits. To sustain the demand of an ever increasing population, new avenues have to be explored to increase the yield of rice. Wild progenitor species present potential donor sources for complex traits such as yield and would help to realize the dream of sustained food security. RESULTS: Advanced backcross method was used to introgress and map new quantitative trait loci (QTLs) relating to yield and its components from an Indian accession of Oryza rufipogon. An interspecific BC(2) testcross progeny (IR58025A/O. rufipogon//IR580325B///IR58025B////KMR3) was evaluated for 13 agronomic traits pertaining to yield and its components. Transgressive segregants were obtained for all the traits. Thirty nine QTLs were identified using interval mapping and composite interval mapping. In spite of it's inferiority for most of the traits studied, O. rufipogon alleles contributed positively to 74% of the QTLs. Thirty QTLs had corresponding occurrences with the QTLs reported earlier, indicating that these QTLs are stable across genetic backgrounds. Nine QTLs are novel and reported for the first time. CONCLUSION: The study confirms that the progenitor species constitute a prominent source of still unfolded variability for traits of complex inheritance like yield. With the availability of the complete genome sequence of rice and the developments in the field of genomics, it is now possible to identify the genes underlying the QTLs. The identification of the genes constituting QTLs would help us to understand the molecular mechanisms behind the action of QTLs.
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spelling pubmed-11818122005-07-30 Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon Marri, Pradeep Reddy N, Sarla Reddy, Laxminarayana V Siddiq, EA BMC Genet Research Article BACKGROUND: Cultivated rice (Oryza sativa L.) is endowed with a rich genetic variability. In spite of such a great diversity, the modern rice cultivars have narrow genetic base for most of the agronomically important traits. To sustain the demand of an ever increasing population, new avenues have to be explored to increase the yield of rice. Wild progenitor species present potential donor sources for complex traits such as yield and would help to realize the dream of sustained food security. RESULTS: Advanced backcross method was used to introgress and map new quantitative trait loci (QTLs) relating to yield and its components from an Indian accession of Oryza rufipogon. An interspecific BC(2) testcross progeny (IR58025A/O. rufipogon//IR580325B///IR58025B////KMR3) was evaluated for 13 agronomic traits pertaining to yield and its components. Transgressive segregants were obtained for all the traits. Thirty nine QTLs were identified using interval mapping and composite interval mapping. In spite of it's inferiority for most of the traits studied, O. rufipogon alleles contributed positively to 74% of the QTLs. Thirty QTLs had corresponding occurrences with the QTLs reported earlier, indicating that these QTLs are stable across genetic backgrounds. Nine QTLs are novel and reported for the first time. CONCLUSION: The study confirms that the progenitor species constitute a prominent source of still unfolded variability for traits of complex inheritance like yield. With the availability of the complete genome sequence of rice and the developments in the field of genomics, it is now possible to identify the genes underlying the QTLs. The identification of the genes constituting QTLs would help us to understand the molecular mechanisms behind the action of QTLs. BioMed Central 2005-06-13 /pmc/articles/PMC1181812/ /pubmed/15949048 http://dx.doi.org/10.1186/1471-2156-6-33 Text en Copyright © 2005 Reddy et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Marri, Pradeep Reddy
N, Sarla
Reddy, Laxminarayana V
Siddiq, EA
Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title_full Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title_fullStr Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title_full_unstemmed Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title_short Identification and mapping of yield and yield related QTLs from an Indian accession of Oryza rufipogon
title_sort identification and mapping of yield and yield related qtls from an indian accession of oryza rufipogon
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1181812/
https://www.ncbi.nlm.nih.gov/pubmed/15949048
http://dx.doi.org/10.1186/1471-2156-6-33
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