High-throughput genotyping has substantially advanced the quality and accuracy of single nucleotide polymorphism (SNP) discovery and provided an effective way to interpret phenotypic variations in a mapping population. High-resolution quantitative trait locus (QTL) mapping is important for understanding agricultural traits. However, constructing a high-resolution map without sufficient markers to detect QTLs/genes of agronomically important traits is laborious and time consuming. In this study, 160 recom-binant inbred lines (RILs) derived from a cross between Milyang23 and Gihobyeo were re-sequenced, and their SNPs were used for high-resolution QTL mapping of yield-related traits. A total of 1,850,671 high-quality SNPs from RILs were detected, and 3,563 bins were used as genetic markers to construct a high-resolution genetic map using the sliding window approach. The total genetic distance was 1,278.62 cM. Using the QTL analysis, we identified 35 QTLs controlling six yield traits, namely, culm length, panicle length, panicle number per plant, primary branch number per panicle, grain number per plant, and 100-grain weight. In addition, we detected major QTLs associated with culm length and grain number, and compared their physical distances using a conventional genetic map. These results showed that rapid, high-resolution QTL mapping using high-quality SNPs as bin markers is a powerful tool for fine-mapping and cloning important QTLs/genes.

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• Development of Molecular Markers for Flower Color Determination Based on Carotenoid Genes Using QTL Analysis in Chrysanthemum
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• Fine-Mapping of a Major Quantitative Trait Locusq2ID1for Rice Stem Diameter
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Closely-related cultivars generally used for crossing in breeding lack sufficient known DNA polymorphisms with already developed DNA markers even though they exhibit remarkable phenotype difference. However, next-generation sequencing (NGS) enables the identification of massive DNA polymorphisms such as single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels) between highly homologous genomes. This study conducted a whole-genome re-sequencing of two Korean japonica rice varieties, Junam and Nampyeong. The sequencing yielded 16.6 × 10⁹ bps for Junam, and 15.1 × 10⁹ bps for Nampyeong. After quality trimming and read mapping onto the reference genome sequence of Nipponbare, 11.9 × 10⁹ bps from Junam and 10.6 × 10⁹ bps from Nampyeong were mapped onto the reference sequence. The final effective mapping depth was 31.98x for Junam and 28.41x for Nampyeong. This study found 398,123 DNA polymophisms between Junam and Nampyeong. These were classified into 352,478 SNPs (88.5%) and 45,645 InDels (11.5%) by polymorphism types, 338,485 homozygous (85%) and 59,638 (15%) heterozygous by zygosity, and 331,855 intergenic (83.4%) and 66,268 genic (16.6%) by genomic location. To see the availability of these results in DNA marker development, Cleaved Amplified Polymorphic Sequences (CAPS) markers were developed based on 22 SNPs lying in restriction enzyme sites. Among them, 17 CAPS markers showed polymorphisms between Junam and Nampyeong. It is expected that sufficient DNA markers for mapping genes/QTLs with progeny population from a cross between Junam and Nampyeong can be developed based on the results of the study.

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• Development of 454 New Kompetitive Allele-Specific PCR (KASP) Markers for Temperate japonica Rice Varieties
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• QTL mapping for pre-harvest sprouting resistance in japonica rice varieties utilizing genome re-sequencing
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• Kompetitive Allele-Specific PCR Marker Development and Quantitative Trait Locus Mapping for Bakanae Disease Resistance in Korean Japonica Rice Varieties
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  Plant Breeding and Biotechnology.2019; 7(3): 208.     CrossRef
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  Molecular Genetics and Genomics.2018; 293(3): 579.     CrossRef
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  Plant Breeding and Biotechnology.2018; 6(4): 391.     CrossRef

Functional stay-green (FSG) delays leaf yellowing, maintaining photosynthetic competence, whereas nonfunctional stay-green (NFSG) retains only leaf greenness without sustaining photosynthetic activity. Retention of chlorophylls and photosynthetic capacity is important for increasing crop yield. We determined the main-effect quantitative trait loci (QTLs) for FSG traits in the japonica rice SNU-SG1 and isolated candidate genes. To identify QTLs influencing FSG, we analyzed eight traits: (1) 1 day after heading-degree of chlorophyll content of flag leaf, (2) 1 day after heading-degree of chlorophyll content of second leaf, (3) 1 day after heading-degree of chlorophyll content of flag and second leaves, (4) 50 day after heading-degree of chlorophyll content of flag leaf, (5) 50 day after heading-degree of chlorophyll content of second leaf, (6) 50 day after heading-degree of chlorophyll content of flag and second leaves, (7) relative decline degree of chlorophyll content of flag and second leaves, and (8) flowering time. We carried out QTL analysis with F₇ RIL from a cross of japonica rice ‘SNU-SG1’ and indica rice ‘Milyang23 (M23)’. Using 131 molecular markers, we identified 18 QTLs for the eight traits with a threshold LOD value > 2.8. Sequence analysis identified 16 candidate genes for 10 main-effect QTLs. Of these, we have chosen seven strong candidate genes for the 10 main-effect QTLs. These genetic resources will be useful for breeding high-yielding rice cultivars.

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