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Quantitative trait loci controlling the amino acid content in rice (Oryza sativa L.)
J Plant Biotechnol 2017;44:349-355
Published online December 31, 2017
© 2017 The Korean Society for Plant Biotechnology.

Soo-Cheul Yoo

Department of Plant Life & Environmental Science, HanKyong National University, Ansung 456-749, Korea
Correspondence to: S.-C. Yoo (⊠)
Department of Plant Life & Environmental Science, HanKyong National University, Ansung 456-749, Korea
Email: scyoo@hknu.ac.kr
Received November 3, 2017; Revised November 19, 2017; Accepted November 19, 2017.
cc This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The amino acid composition of rice is a major concern of rice breeders because amino acids are among the most important nutrient components in rice. In this study, a genetic map was constructed with a population of 134 recombinant inbred lines (RILs) from a cross between Dasanbyeo (Tongil-type indica) and TR22183 (temperate japonica), as a means to detect the main and epistatic effect quantitative trait loci (QTLs) for the amino acid content (AAC). Using a linkage map which covered a total of 1458 cM based on 239 molecular marker loci, a total of six main-effect QTLs (M-QTLs) was identified for the content of six amino acids that were mapped onto chromosome 3. For all the M-QTLs, the TR22183 allele increased the trait values. The QTL cluster (flanked by id3015453 and id3016090) on chromosome 3 was associated with the content of five amino acids. The phenotypic variation, explained by the individual QTLs located in this cluster, ranged from 10.2 to 12.4%. In addition, 26 epistatic QTLs (Ep-QTLs) were detected and the 25 loci involved in this interaction were distributed on all nine chromosomes. Both the M-QTLs and Ep-QTLs detected in this study will be useful in breeding programs which target the development of rice with improved amino acid composition.
Keywords : Quantitative trait loci, Amino acid content, rice, QTL mapping


December 2017, 44 (4)
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