• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.3
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• pp.248-255
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• 2021

This study was conducted to obtain basal information for the development of perilla cultivars with improved quality. The F₇ population of recombinant inbred lines (RILs) from a cross between the parents of Daesil for seeds and Ipdeulkkae1 for vegetables was used as the material. We evaluated several agricultural characteristics and seed quality. Variations were observed in most of the measurements; for example, stem length (ranging from 66.0 to 150.0 cm), number of branches (from 5 to 23), flower cluster length (ranging from 5.1 to 10.5 cm), number of flower clusters (from 17 to 131), a-linolenic acid content (from 54.2 to 64.1%), and functional compound content (rosmarinic acid 869.5~3,508.1 ㎍/g; luteolin 47.4~864.3 ㎍/g; apigenin 57.1~296.7 ㎍/g) all showed variation. Significant correlations between stem length and the number of branches (0.561) and number of branches versus number of flower clusters (0.638) were detected in the RIL F₇ population. Most agricultural characteristics and seed qualities showed a normal distribution with large variation, and transgressive segregation was observed in many descendants with characteristics to those of their parents. Daesil/Ipdeulkkae1 RIL F₇ populations could be useful for future QTL analysis as well as for intermediate breeding lines for high-quality perilla cultivars.

• Journal of Korean Society of Forest Science
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• v.89 no.4
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• pp.536-542
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• 2000

A linkage map for Japanese red pine (Pinus densiflora) was constructed on the basis of two DNA marker systems of random amplified polymorphic DNAs (RAPDs) and inter-simple sequence repeats (I-SSR). Haploid genomic DNAs were extracted from megagametophyte tissues of 96 individual seeds in a single tree. A total of 98 DNA markers including 52 RAPD markers amplified by 25 primers and 46 I-SSR markers amplified by 18 primers were verified as Mendelian loci showing 1 : 1 segregation in 96 megagametophytes which were ${\chi}^2$-tested at 5% significance level. Of them, 63 segregating loci turned out to be linked into 20 linkage groups by the two-point analysis. However, 35 loci (17 RAPD and 18 I-SSR) of the 98 segregating loci did not coalesced into any linkage groups at a LOD of 3.0. The linked 63 loci were separated by an average distance of about 25.5 cM, which were spanned 1097.8 cM as a whole. The minimum and maximum map distances of the linkage groups were 4.3 cM and 54.9 cM, respectively. Incorporation of I-SSR loi into linkage map of RAPD loci resulted in extended and partially more saturated linkage blocks.

• Journal of Animal Science and Technology
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• v.48 no.2
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• pp.169-190
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• 2006

Researches in livestock are currently actively progressing to improve economically important traits using DNA markers. In cattle, the candidate genes have been selected based on their known functions in the target QTL (quantitative trait locus) region in order to identify QTN (quantitative trait nucleotide) for improving productivities. In this review, molecular genetic studies for the meat related traits, one of the major determinant of market prices, have been fully described. Also recent emerging microarray technique for identifying candidate genes in cattle has been discussed. In case of microarray, cDNA microarrays have been replaced to oligoarrays in order to minimize the experimental errors in cattle. Since the first draft of bovine genome sequences was appeared in the public domain, more markers in relation to the quantitative traits will be discovered in a short period of time and genes affecting difficult-to-measure traits, such as disease resistance, can also be selected for marker assisted selection in near future.

• Korean Journal of Poultry Science
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• v.35 no.2
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• pp.163-169
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• 2008

A total of 17 polymorphic microsatellite markers on chromosome 1 were used for allelic association tests with phenotypic traits in Korean native chicken. Chi-square tests were performed to compare the frequencies of individual alleles between the high and the low trait groups. The frequency of allele 123 of MCW0160 showed a significant difference between the high and the low groups in the trait of egg weight (EW). Three markers, namely ADL0234, UMA1.125 and ADL0101, were found to show significant differences in allelic distribution for the trait of the first lay day (FLD). UMA1.117, ADL0020, UMA 1.019, LMA1 and ADL0238 were found to show significant differences in allelic distribution for the trait of body weight (BW). ADL0101 and ADL0238 were found to show significant differences in allelic distribution for the trait of number of egg production(EP). In this study, we identified the QTL for economic traits at around 94 (MCW0160), 151 (ADL0234), 170 (UMA1.125), 225 (UMA1.117), 285 (ADL0020), 387 (UMA1.019), 418 (LMA1), 500 (ADL0101) and 520 (ADL0238) cM on chromosome 1 in Korean native chicken. The results provided a useful guideline for identification of positional candidate gene and marker-assisted selection for economic traits in Korean native chicken.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.60 no.4
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• pp.401-411
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• 2015

Drought stress has detrimental effects on the seedling development, vegetative/ reproductive growth, photosynthesis, root proliferation, anthesis, anthesis-silking interval (ASI), pollination and grain yield in maize. Typically, two weeks before silking through pollination are an important time in maize life. Here we reviewed the effects of drought stress on growth, physiological/ molecular researches for drought tolerance, and breeding to genomics in maize. Drought stress during kernel development increases leaf dying and lodging, decreases grain filling period and grain yield. Physiological factors of drought stress/ effects are water content, water deficits, and water potential. Nowdays molecular marker assisted breeding method is becoming increasingly useful in the improvement of new germplasm with drought stress tolerance.

• Journal of Animal Science and Technology
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• v.51 no.1
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• pp.9-14
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• 2009

Insulin-like growth factor 2 (IGF2) is the first identified imprinted gene, which is paternally expressed in multiple mammalian species. A paternally expressed QTL for muscle growth and backfat thickness (BFT) has previously been identified near the IGF2 locus on the distal tip of pig chromosome 2 (SSC2p). Therefore the IGF2 gene is considered an economically important candidate gene for pig industry. Herein, this study explored genetic variation of IGF2 for in3-G3072A, in7-G162C and a new SNP in intron7 (C1589T) in Korean native pig (KNP) and commercial pig breeds, and detected their linkage disequilibrium within these breeds. Furthermore we investigated the effect of in3-G3072A on IGF2 gene expression in post-natal muscle and backfat tissues. The real-time quantitative PCR results showed that animals inherited allele G from a KNP sire had significant higher IGF2 gene expression in backfat tissue than those inherited allele A from a Yorkshire sire, however opposite situation in muscle. These results demonstrated the allele 3072G is associated with a higher IGF2 gene expression in fat tissues, but low gene expression in muscle tissues when compared with the 3072A allele. These results suggest that KNP with lower muscle mass and higher fat deposition might be associated with a higher frequency of the 3072G allele, and selecting KNP based on IGF2 genotypes could result in an economic benefit to KNP producers.

• Journal of Life Science
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• v.26 no.8
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• pp.904-910
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• 2016

Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The gene network analysis has been performed by diverse types of methods such as gene co-expression, gene regulatory relationships, protein-protein interaction (PPI) and genetic networks. Moreover, the network-based methods were described for predicting gene functions such as graph theoretic method, neighborhood counting based methods and weighted function. However, there are a limited number of researches in livestock. The present study systemically analyzed genes associated with 102 types of economic traits based on the Animal Trait Ontology (ATO) and identified their relationships based on the gene co-expression network and PPI network in cattle. Then, we constructed the two types of gene network databases and network visualization system (http://www.nabc.go.kr/cg). We used a gene co-expression network analysis from the bovine expression value of bovine genes to generate gene co-expression network. PPI network was constructed from Human protein reference database based on the orthologous relationship between human and cattle. Finally, candidate genes and their network relationships were identified in each trait. They were typologically centered with large degree and betweenness centrality (BC) value in the gene network. The ontle program was applied to generate the database and to visualize the gene network results. This information would serve as valuable resources for exploiting genomic functions that influence economically and agriculturally important traits in cattle.

• Journal of Life Science
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• v.14 no.5
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• pp.821-828
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• 2004

The increasing apparent photosynthetic rate per leaf area may improve seed yield in soybean. Leaf area, length and width are related to the photosynthetic capability of the plant. In this study, two populations derived from the cross of Keunolkong, Shinpaldalkong and Iksanl0 were evaluated with simple sequence repeat (SSR) markers to identify length, width and length/width ratio of leaf. Leaf length/width ratio were significantly negative correlation with leaf width in K/S and K/I populations. In the K/S population, two minor QTLs for leaf length (LL) were found on LG Dlb+W and 1. Two QTLs on LG J and L were related to LL in K/I population. Two and three minor QTLs were identified in leaf width with total phenotypic variation of 13% and 18.04 in K/S and K/I populations, respectively. The leaf length/width ratio, two QTLs on LG I and L, and three QTLs on LG Cl, E and L were related to K/S and K/I populations, respectively. Thus it is assumed that the leaf traits are very much dependent on the genotype used and different breeding approach should be considered for the selection of favorite leaf traits in soybean breeding programs.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1249-1258
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• 2015

DGAT1(diacylglycerol O-acyltransferase1) gene is well known as a major gene of milk production in dairy cattle. This study was conducted to investigate how the DGAT1 gene effect on milk yield was appeared from the genome wide association (GWA) using high density whole genome SNP chip. The data set used in this study consisted of 353 Korean Holstein sires with 50k SNP genotypes and deregressed estimated breeding values of milk yield. After quality control 41,051 SNPs were selected and locations on chromosome were mapped using UMD 3.1. Bayesian regression of BayesB method (pi=0.99) was used to estimate the SNP effects and genomic breeding values. Percentages of variance explained by 1 Mb non-overlapping windows were calculated to detect the QTL region. As the result of this study, top 1 and 3 of 2,516 windows were seen around DGAT1 gene region and 0.51% and 0.48% of genetic variance were explained by these two windows. Although SNPs on the DGAT1 gene region are excluded in commercial 50k SNP chip, the effect of DGAT1 gene seem to be reflected on GWA by the SNPs which are in linkage disequilibrium with DGAT1 gene.

• Korean Journal of Breeding Science
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• v.50 no.4
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• pp.424-433
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• 2018

Watermelon (Citrullus lanatus) is an economically important vegetable crop all over the world, which has functional compounds such as lycopene and citrulline. Gummy stem blight caused by Didymella bryoniae is one of the most devastative diseases in watermelon. Single nucleotide polymorphisms (SNPs), which are genetic variations occurring between individuals with respect to a single base, were often used to construct genetic linkage maps and develop molecular markers linked to a variety of horticultural traits and resistance to several diseases. In this study, we developed high-resolution melting (HRM) markers based on SNPs generated from NGS resequencing of two parents in watermelon. Plant materials were C. lanatus '920533' (female and susceptible parent), C. amarus 'PI 189225' (male and resistant parent), and their $F_1$ and $F_2$ progenies. A total of 13.6 Gbp ('920533') and 13.1 Gbp ('PI 189225') of genomic sequences were obtained using NGS analysis. A total of 6.09 million SNPs between '920533' and 'PI 189225' were detected, and 354,860 SNPs were identified as potential HRM primer sets. From these, a total of 330 primer sets for HRM analysis were designed. As a result, a total of 61 HRM markers that have polymorphic melting curves were developed. These HRM markers can be used for the construction of SNP-based linkage maps and for the analysis of quantitative trait loci (QTLs) related to gummy stem blight resistance.