QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations
Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC<sub>3</sub>F<sub>3</sub> individual families of two introgression line (IL) populations were de...
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MDPI AG
2023-08-01
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| author | Mufid Alam Xuan Tan Hao Zhang Guangming Lou Hanyuan Yang Yin Zhou Amjad Hussain Parashuram Bhantana Gonghao Jiang Yuqing He |
| author_facet | Mufid Alam Xuan Tan Hao Zhang Guangming Lou Hanyuan Yang Yin Zhou Amjad Hussain Parashuram Bhantana Gonghao Jiang Yuqing He |
| author_sort | Mufid Alam |
| collection | DOAJ |
| description | Nutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC<sub>3</sub>F<sub>3</sub> individual families of two introgression line (IL) populations were derived from Kongyu 131/Cypress (population-I) and Kongyu 131/Vary Tarva Osla (population-II), respectively. A genetic linkage map was developed using 127 simple sequence repeat (SSR) markers in population-I and 119 SSR markers in population-II. In total, 20 and 5 QTLs were detected in population-I and population-II, respectively. About twenty QTLs were mapped in population-I: five QTLs for albumin, seven QTLs for globulin, six QTLs for prolamin, one QTL for glutelin, and one QTL for grain protein content. In total, five QTLs were mapped in population-II: one QTL for albumin and four QTLs for grain protein content. Out of 25 QTLs, 19 QTLs exhibit co-localization with the previously reported QTLs. QTL-like <i>qGPC7.3</i> was delineated for total protein content. This QTL was derived from population-I and was successfully validated in NILs (near-isogenic lines). The grain protein phenotype showed a significant variation between two NILs. This investigation serves as groundwork for additional cloning of nutritional quality-related genes in rice grains. |
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| spelling | doaj.art-77bdcc1e0c66409a8a734f048c6871192023-11-19T09:06:27ZengMDPI AGAgriculture2077-04722023-08-01139172510.3390/agriculture13091725QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line PopulationsMufid Alam0Xuan Tan1Hao Zhang2Guangming Lou3Hanyuan Yang4Yin Zhou5Amjad Hussain6Parashuram Bhantana7Gonghao Jiang8Yuqing He9National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaAgriculture Research Station, Nepal Agriculture Research Council, Pakhribas 56809, NepalCollege of Life Science, Heilongjiang University, Harbin 150080, ChinaNational Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, ChinaNutritional grain quality is mainly influenced by the protein fraction content and grain protein content. Quantitative trait loci (QTL) mining for five traits, about 245 and 284 BC<sub>3</sub>F<sub>3</sub> individual families of two introgression line (IL) populations were derived from Kongyu 131/Cypress (population-I) and Kongyu 131/Vary Tarva Osla (population-II), respectively. A genetic linkage map was developed using 127 simple sequence repeat (SSR) markers in population-I and 119 SSR markers in population-II. In total, 20 and 5 QTLs were detected in population-I and population-II, respectively. About twenty QTLs were mapped in population-I: five QTLs for albumin, seven QTLs for globulin, six QTLs for prolamin, one QTL for glutelin, and one QTL for grain protein content. In total, five QTLs were mapped in population-II: one QTL for albumin and four QTLs for grain protein content. Out of 25 QTLs, 19 QTLs exhibit co-localization with the previously reported QTLs. QTL-like <i>qGPC7.3</i> was delineated for total protein content. This QTL was derived from population-I and was successfully validated in NILs (near-isogenic lines). The grain protein phenotype showed a significant variation between two NILs. This investigation serves as groundwork for additional cloning of nutritional quality-related genes in rice grains.https://www.mdpi.com/2077-0472/13/9/1725<i>Oryza</i> sativaalbuminglobulinprolaminglutelingrain protein content |
| spellingShingle | Mufid Alam Xuan Tan Hao Zhang Guangming Lou Hanyuan Yang Yin Zhou Amjad Hussain Parashuram Bhantana Gonghao Jiang Yuqing He QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations Agriculture <i>Oryza</i> sativa albumin globulin prolamin glutelin grain protein content |
| title | QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations |
| title_full | QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations |
| title_fullStr | QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations |
| title_full_unstemmed | QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations |
| title_short | QTL Mining and Validation of Grain Nutritional Quality Characters in Rice (<i>Oryza sativa</i> L.) Using Two Introgression Line Populations |
| title_sort | qtl mining and validation of grain nutritional quality characters in rice i oryza sativa i l using two introgression line populations |
| topic | <i>Oryza</i> sativa albumin globulin prolamin glutelin grain protein content |
| url | https://www.mdpi.com/2077-0472/13/9/1725 |
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