Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions
Drought stress is a constant threat to rice production worldwide. Most modern rice cultivars are sensitive to drought, and the effect is severe at the reproductive stage. Conventional breeding for drought resistant (DR) rice varieties is slow and limited due to the quantitative nature of the DR trai...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-01-01
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| Series: | Frontiers in Chemistry |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fchem.2017.00129/full |
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| author | Julio Solis Julio Solis Andres Gutierrez Venkata Mangu Venkata Mangu Eduardo Sanchez Eduardo Sanchez Renesh Bedre Renesh Bedre Steve Linscombe Niranjan Baisakh |
| author_facet | Julio Solis Julio Solis Andres Gutierrez Venkata Mangu Venkata Mangu Eduardo Sanchez Eduardo Sanchez Renesh Bedre Renesh Bedre Steve Linscombe Niranjan Baisakh |
| author_sort | Julio Solis |
| collection | DOAJ |
| description | Drought stress is a constant threat to rice production worldwide. Most modern rice cultivars are sensitive to drought, and the effect is severe at the reproductive stage. Conventional breeding for drought resistant (DR) rice varieties is slow and limited due to the quantitative nature of the DR traits. Identification of genes (QTLs)/markers associated with DR traits is a prerequisite for marker-assisted breeding. Grain yield is the most important trait and to this end drought yield QTLs have been identified under field conditions. The present study reports identification of drought yield QTLs under controlled conditions without confounding effects of other factors prevalent under natural conditions. A linkage map covering 1,781.5 cM with an average resolution of 9.76 cM was constructed using an F2 population from a cross between two Japonica cultivars, Cocodrie (drought sensitive) and Vandana (drought tolerant) with 213 markers distributed over 12 rice chromosomes. A subset of 59 markers (22 genic SSRs and 37 SNPs) derived from the transcriptome of the parents were also placed in the map. Single marker analysis using 187 F2 : 3 progeny identified 6 markers distributed on chromosomes 1, 5, and 8 to be associated with grain yield under drought (GYD). Composite interval mapping identified six genomic regions/quantitative trait loci (QTL) on chromosome 1, 5, 8, and 9 to be associated with GYD. QTLs located on chromosome 1 (qGYD1.2, qGYD1.3), chromosome 5 (qGYD5.1) and chromosome 8 (qGYD8.1) were contributed by Vandana alleles, whereas the QTLs, qGYD1.1 and qQYD9.1 were contributed by Cocodrie alelles. The additive positive phenotypic variance explained by the QTLs ranged from 30.0 to 34.0%. Candidate genes annotation within QTLs suggested the role of transcription factors and genes involved in osmotic potential regulation through catalytic/metabolic pathways in drought tolerance mechanism contributing to yield. |
| first_indexed | 2024-12-11T06:38:43Z |
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| institution | Directory Open Access Journal |
| issn | 2296-2646 |
| language | English |
| last_indexed | 2024-12-11T06:38:43Z |
| publishDate | 2018-01-01 |
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| spelling | doaj.art-87135d3b03e146e9a5f5c743f11201f92022-12-22T01:17:18ZengFrontiers Media S.A.Frontiers in Chemistry2296-26462018-01-01510.3389/fchem.2017.00129311839Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse ConditionsJulio Solis0Julio Solis1Andres Gutierrez2Venkata Mangu3Venkata Mangu4Eduardo Sanchez5Eduardo Sanchez6Renesh Bedre7Renesh Bedre8Steve Linscombe9Niranjan Baisakh10School of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesInstituto de Biotecnología, Universidad Nacional Agraria La Molina, Lima, PeruSchool of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesSchool of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesDepartment of Biochemistry, University of Pennsylvania, Philadelphia, PA, United StatesSchool of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesCenter for Biotechnology Investigation, Escuela Superior Politecnica del Litoral, Guayaquil, EcuadorSchool of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesTexas A&M AgriLife Research Station, Weslaco, TX, United StatesRice Research Station, Louisiana State University Agricultural Center, Crowley, LA, United StatesSchool of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United StatesDrought stress is a constant threat to rice production worldwide. Most modern rice cultivars are sensitive to drought, and the effect is severe at the reproductive stage. Conventional breeding for drought resistant (DR) rice varieties is slow and limited due to the quantitative nature of the DR traits. Identification of genes (QTLs)/markers associated with DR traits is a prerequisite for marker-assisted breeding. Grain yield is the most important trait and to this end drought yield QTLs have been identified under field conditions. The present study reports identification of drought yield QTLs under controlled conditions without confounding effects of other factors prevalent under natural conditions. A linkage map covering 1,781.5 cM with an average resolution of 9.76 cM was constructed using an F2 population from a cross between two Japonica cultivars, Cocodrie (drought sensitive) and Vandana (drought tolerant) with 213 markers distributed over 12 rice chromosomes. A subset of 59 markers (22 genic SSRs and 37 SNPs) derived from the transcriptome of the parents were also placed in the map. Single marker analysis using 187 F2 : 3 progeny identified 6 markers distributed on chromosomes 1, 5, and 8 to be associated with grain yield under drought (GYD). Composite interval mapping identified six genomic regions/quantitative trait loci (QTL) on chromosome 1, 5, 8, and 9 to be associated with GYD. QTLs located on chromosome 1 (qGYD1.2, qGYD1.3), chromosome 5 (qGYD5.1) and chromosome 8 (qGYD8.1) were contributed by Vandana alleles, whereas the QTLs, qGYD1.1 and qQYD9.1 were contributed by Cocodrie alelles. The additive positive phenotypic variance explained by the QTLs ranged from 30.0 to 34.0%. Candidate genes annotation within QTLs suggested the role of transcription factors and genes involved in osmotic potential regulation through catalytic/metabolic pathways in drought tolerance mechanism contributing to yield.http://journal.frontiersin.org/article/10.3389/fchem.2017.00129/fullcontrolled conditiondrought stressQTLriceyield |
| spellingShingle | Julio Solis Julio Solis Andres Gutierrez Venkata Mangu Venkata Mangu Eduardo Sanchez Eduardo Sanchez Renesh Bedre Renesh Bedre Steve Linscombe Niranjan Baisakh Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions Frontiers in Chemistry controlled condition drought stress QTL rice yield |
| title | Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions |
| title_full | Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions |
| title_fullStr | Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions |
| title_full_unstemmed | Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions |
| title_short | Genetic Mapping of Quantitative Trait Loci for Grain Yield under Drought in Rice under Controlled Greenhouse Conditions |
| title_sort | genetic mapping of quantitative trait loci for grain yield under drought in rice under controlled greenhouse conditions |
| topic | controlled condition drought stress QTL rice yield |
| url | http://journal.frontiersin.org/article/10.3389/fchem.2017.00129/full |
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