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QTL Mining and Validation of Grain Nutritional Quality Characters in Rice ( Oryza sativa L.) Using Two Introgression Line Populations

Author

Listed:
  • Mufid Alam

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Xuan Tan

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Hao Zhang

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Guangming Lou

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Hanyuan Yang

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Yin Zhou

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Amjad Hussain

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

  • Parashuram Bhantana

    (Agriculture Research Station, Nepal Agriculture Research Council, Pakhribas 56809, Nepal)

  • Gonghao Jiang

    (College of Life Science, Heilongjiang University, Harbin 150080, China)

  • Yuqing He

    (National Key Laboratory of Crop Genetic Improvement, and National Center of Crop Molecular Breeding, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

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 3 F 3 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 qGPC7.3 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.

Suggested Citation

  • Mufid Alam & Xuan Tan & Hao Zhang & Guangming Lou & Hanyuan Yang & Yin Zhou & Amjad Hussain & Parashuram Bhantana & Gonghao Jiang & Yuqing He, 2023. "QTL Mining and Validation of Grain Nutritional Quality Characters in Rice ( Oryza sativa L.) Using Two Introgression Line Populations," Agriculture, MDPI, vol. 13(9), pages 1-16, August.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1725-:d:1229734
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