• Title/Summary/Keyword: quantitative trait loci (QTLs)

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Identification of QTLs Affecting Physical Traits of Cooked Rice

  • Kang, Hyeon-Jung;Cho, Yong-Gu;Lee, Young-Tae;Kim, Young-Doo;Eun, Moo-Young;Shim, Jae-Uk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.44 no.1
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    • pp.70-73
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    • 1999
  • This study was conducted to ascertain the chromosomal locations and effect of quantitative trait loci (QTL) associated with the physical traits of rice (Oryza sativa L.) eating quality. One hundred sixty four recombinant inbred lines (MGRILs) of F$_{11}$ were derived from the cross between Milyang 23 (Tongil type) and Gihobyeo (japonica type). They were evaluated for six physical traits of cooked rice. Transgressive segregation was observed for all examined traits. Significant QTL were detected (LOD$\geq$2.0) in three traits, including single QTL for adhesiveness, gumminess, and chewiness of cooked rice, respectively. Phenotypic variation explained by each QTL ranged from 6.3% to 14.6%. However, no significant QTL was detected for hardness, cohesiveness, and elasticity of cooked rice. Pleiotropic effects of single QTL on different traits are observed.d.

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Identification and characterization of QTLs and QTL interactions for Macro- and Micro-elements in rice (Oryza sativa L.) grain

  • Qin, Yang;Kim, Suk-Man;Sohn, Jae-Keun
    • Journal of Plant Biotechnology
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    • v.35 no.4
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    • pp.257-263
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    • 2008
  • Improvement of the macro- and micro-elements density of rice (Oryza sativa L.) is gradually becoming a new breeding objective. In this study, the genomic regions associated with potassium, calcium, magnesium and iron content in rice grain were identified and characterized by using a doubled haploid (DH) population. Fifty-six simple sequence repeat (SSR) and one hundred and twelve sequence tagged site (STS) markers were selected to construct the genetic linkage map of the DH population with a full length of 1808.3cM scanning 12 rice chromosomes. Quantitative trait loci (QTLs) were detected, and QTL effects and QTL interactions were calculated for five traits related to macro- and micro-elements in the DH population from a cross between 'Samgang' (Tongil) and 'Nagdong' (Japonica). Twelve QTLs were located on five chromosomes, consisting of two QTLs for potassium, three QTLs for calcium, two QTLs for magnesium, one QTL for iron content and four QTLs for the ratio of magnesium to potassium (Mg/K). Among them, qca1.1 was detected on chromosome 1 with an LOD value of 8.58 for calcium content. It explained 27% of phenotype variations with increasing effects from 'Samgang' allele. Furthermore, fifteen epistatic combinations with significant interactions were observed on ten chromosomes for five traits, which totally accounted for 4.19% to 12.72% of phenotype variations. The screening of relatively accurate QTLs will contribute to increase the efficiency of marker-assisted selection (MAS), and to accelerate the establishment of near-isogenic lines (NILs) and QTL pyramiding.

Identification of Quantitative Trait Loci (QTLs) Associated with Oil and Protein Contents in Soybean (Glycine max L.) (콩에서 Microsatellite marker률 이용한 oil 및 단백질 함량의 양적형질 유전자좌의 분석)

  • Kim, Hyeun-Kyeung;Kang, Sung-Taeg
    • Journal of Life Science
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    • v.14 no.3
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    • pp.453-458
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    • 2004
  • Soybean oil and protein contents are very important as a nutritional component of food. The seed composition as oil and protein are polygenic traits. In this study, the Keunolkong${\times}$Iksan10 populations were evaluated with SSR markers to identify QTLs related to oil and protein contents. Three related independent QTLs near the marker satt100 on LG C2, satt546 on LG D1b+W and satt418 on LG L were identified oil contents. The three independent QTLs near the marker satt556 on LG B2, satt414 on LG J and satt238 on LC L were identified of protein contents. In the results of this study, common QTLs on LG L was associated with seed oil and protein contents. In the result of this study, it is believed that the seed composition material as oil and protein contents were mainly controlled by environmental stresses and they are seed size on genotypes.

QTL analysis of for micronutrient content in rice grain

  • Lee, Hyun-Sook;Shim, Kyu-Chan;Jeon, Yun-A;Ahn, Sang-Nag
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.144-144
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    • 2017
  • Micronutrients such as zinc (Zn), iron (Fe), manganese (Mn) have important roles for development and growth in plants but it also have roles in animals and humans. In previous studies, a Korean weedy rice, KH2J was selected to have tolerance to heavy metal, lead (Pb) compared with a cultivar, Milyang23. To identify QTLs for micronutrients concentration in grain, an F2 population (120 plants) were developed from a cross between KH2J and an indica rice cultivar, Milyang23. To measure the concentration of eight ions, Zn, Fe, Mn, Pb, calcium (Ca), copper (Cu), cadmium (Cd) and arsenic (As), grains were collected and digested with 65% nitric acid, and the ion contents were measured using inductively coupled plasma mass spectrometry. A total 27 putative quantitative trait loci (QTLs) were detected on 12 chromosomes by single point analysis and 22 putative QTLs were detected by composite interval mapping. The co-locations of QTL for Zn, Fe and Mn were observed on chromosome 5. The QTLs for Cd, Cu and Zn were co-localized on chromosome 10, and QTLs for Zn, As and Mn was on chromosome 12. The Zn concentration in F2 generation showed significant correlation with concentrations of As (r = -0.4), Cu (r = 0.5) and Fe (r = 0.2) (P < 0.01). Also, the Ca concentration was significantly related with Mn and Fe concentrations (P < 0.01). Fine mapping of these QTLs is underway to analyze their functional relationship.

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Locating QTLs controlling overwintering seedling rate in perennial glutinous rice 89-1 (Oryza sativa L.)

  • Deng, Xiaoshu;Gan, Lu;Liu, Yan;Luo, Ancai;Jin, Liang;Chen, Jiao;Tang, Ruyu;Lei, Lixia;Tang, Jianghong;Zhang, Jiani;Zhao, Zhengwu
    • Genes and Genomics
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    • v.40 no.12
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    • pp.1351-1361
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    • 2018
  • A new cold tolerant germplasm resource named glutinous rice 89-1 (Gr89-1, Oryza sativa L.) can overwinter using axillary buds, with these buds being ratooned the following year. The overwintering seedling rate (OSR) is an important factor for evaluating cold tolerance. Many quantitative trait loci (QTLs) controlling cold tolerance at different growth stages in rice have been identified, with some of these QTLs being successfully cloned. However, no QTLs conferring to the OSR trait have been located in the perennial O. sativa L. To identify QTLs associated with OSR and to evaluate cold tolerance. 286 $F_{12}$ recombinant inbred lines (RILs) derived from a cross between the cold tolerant variety Gr89-1 and cold sensitive variety Shuhui527 (SH527) were used. A total of 198 polymorphic simple sequence repeat (SSR) markers that were distributed uniformly on 12 chromosomes were used to construct the linkage map. The gene ontology (GO) annotation of the major QTL was performed through the rice genome annotation project system. Three main-effect QTLs (qOSR2, qOSR3, and qOSR8) were detected and mapped on chromosomes 2, 3, and 8, respectively. These QTLs were located in the interval of RM14208 (35,160,202 base pairs (bp))-RM208 (35,520,147 bp), RM218 (8,375,236 bp)-RM232 (9,755,778 bp), and RM5891 (24,626,930 bp)-RM23608 (25,355,519 bp), and explained 19.6%, 9.3%, and 11.8% of the phenotypic variations, respectively. The qOSR2 QTL displayed the largest effect, with a logarithm of odds score (LOD) of 5.5. A total of 47 candidate genes on the qOSR2 locus were associated with 219 GO terms. Among these candidate genes, 11 were related to cell membrane, 7 were associated with cold stress, and 3 were involved in response to stress and biotic stimulus. OsPIP1;3 was the only one candidate gene related to stress, biotic stimulus, cold stress, and encoding a cell membrane protein. After QTL mapping, a total of three main-effect QTLs-qOSR2, qOSR3, and qOSR8-were detected on chromosomes 2, 3, and 8, respectively. Among these, qOSR2 explained the highest phenotypic variance. All the QTLs elite traits come from the cold resistance parent Gr89-1. OsPIP1;3 might be a candidate gene of qOSR2.

Identification of Heterosis QTLs for Yield and Yield-Related Traits in Indica-Japonica Recombinant Inbred Lines of Rice (Oryza sativa L.)

  • Kim, Chang-Kug;Chu, Sang-Ho;Park, Han Yong;Seo, Jeonghwan;Kim, Backki;Lee, Gileung;Koh, Hee-Jong;Chin, Joong Hyoun
    • Plant Breeding and Biotechnology
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    • v.5 no.4
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    • pp.371-389
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    • 2017
  • Supplying sufficient rice to growing populations is a global challenge. Hybrid indica rice varieties exploiting heterosis have increased yields, but inter-subspecific crosses between indica and japonica varieties are hampered by sterility. Examination and genetic understanding of yield heterosis in indica/japonica crosses addressing yield barriers are basic requirements. In this study, QTLs for heterosis of yield traits were identified in indica-japonica recombinant inbred lines (RILs) using a total of 178 RILs originating from Dasanbyeo (indica) ${\times}$ TR22183 (japonica) (DT-RILs) and their backcrossed populations. Nine of sixty-six major quantitative trait loci (QTLs) identified in DT-RILs exhibited heterosis. Heterosis QTLs clustered with other traits on chromosomes 1, 4, and 8, and clusters were conserved between different RILs. The clusters contained several known yield enhancement genes/QTLs. Specific heterotic allele combinations contributed to four major heterosis QTLs, particularly for panicle and spikelet number traits. Heterosis for yield and yield-related traits was explained by the harmonized effects of overdominance, dominance, and epistatic interactions in inter-subspecific breeding populations.

Identification of the quantitative trait loci for breaking and bending types lodging resistance in rice, using recombinant inbred lines derived from Koshihikari and a strong culm variety, leaf star

  • Samadi, Ahmad Fahim;Yamamoto, Toshio;Ueda, Tadamasa;Adachi, Shunsuke;Hirasawa, Tadashi;Ookawa, Taiichiro
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.93-93
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    • 2017
  • To develop rice cultivars with increased biomass and grain yield, superior lodging resistance is an essential trait. The new breeding approach can be adopted for the improvement of stem lodging resistance by enhancing culm strength. The resistance to breaking type lodging is attributed to bending moment of basal culm (M), which is composed of the section modulus (SM) and bending stress (BS). The resistance to the bending type lodging is attributed to flexural rigidity (FR) of stem, which is composed of the secondary moment of inertia (SMI) and Young's modulus (YM). Starch and cell wall components such as cellulose, hemicellulose and lignin also play a significant role in physical strength of culm, and thus affect lodging. Leaf Star has a superior lodging resistance due to its thick and stiff culm because of its high M and FR compared with Koshihikari. Furthermore, Leaf Star contains high densities of hemicellulose, cellulose and low lignin density in culm compared with Koshihikari. In this study, we performed QTL analysis for these traits associated with culm strength, using 94 recombinant inbred lines (RILs, $F_8$), derived from a cross between Leaf Star and Koshihikari. The SM in the RILs showed a continuous distribution. QTLs for SM were detected on chrs.2, 3 and 10. Leaf Star alleles increased SM on chrs. 2 and 3, but Koshihikari allele increased on chr.10. These QTLs overlapped with those QTLs identified using backcrossed inbred line derived from a cross between Chugoku 117 and Koshihikari, the parents of Leaf Star. The FR in Leaf Star was higher than that in Koshihikari due to the larger SMI and YM. 3 QTLs for SMI were detected on chrs.2, 3 and 10. Leaf Star alleles increased SMI on chrs.2 and 3, and Koshihikari alleles increased on chr.10. One QTL on chr.3 and two QTLs on chr.5 for hollocelulose content were detected with Leaf Star alleles contribution. Moreover, two QTLs were detected for hemicellulose density on chrs.3 and 5. Leaf Star allele increased hemicellulose density on chr.5, and Koshihikari allele increased on chr.3. Furthermore, two QTLs for cellulose density were detected on chr.5, and one QTL on chr.2. For starch content, one QTL on chr.3 and two QTLs on chr.5 with Leaf Star alleles contribution were detected. TULK-6 carrying a chromosome segment of Leaf Star on chr.5 in the Koshihikari genetic background showed higher densities of starch and hemicellulose than those in Koshihikari. These results suggest that the detected QTLs for culm strength could be utilized for the improvement of lodging resistance in rice by marker-assisted selection.

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Identification of the quantitative trait loci (QTL) for seed protein and oil content in soybean.

  • Jeong, Namhee;Park, Soo-Kwon;Ok, Hyun-Choong;Kim, Dool-Yi;Kim, Jae-Hyun;Choi, Man-Soo
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.148-148
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    • 2017
  • Soybean is an important economical resource of protein and oil for human and animals. The genetic basis of seed protein and oil content has been separately characterized in soybean. However, the genetic relationship between seed protein and oil content remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation and linkage mapping to dissect the relationship between seed protein and oil content. A $F_{10:11}$ RIL population containing 222 lines, derived from the cross between two Korean soybean cultivars Seadanbaek as female and Neulchan as male parent, were used in this experiment. Soybean seed analyzed were harvested in three different experimental environments. A genetic linkage map was constructed with 180K SoyaSNP Chip and QTLs of both traits were analyzed using the software QTL IciMapping. QTL analyses for seed protein and oil content were conducted by composite interval mapping across a genome wide genetic map. This study detected four major QTL for oil content located in chromosome 10, 13, 15 and 16 that explained 13.2-19.8% of the phenotypic variation. In addition, 3 major QTL for protein content were detected in chromosome 10, 11 and 16 that explained 40.8~53.2% of the phenotypic variation. A major QTLs was found to be associated with both seed protein and oil content. A major QTL were mapped to soybean chromosomes 16, which were designated qHPO16. These loci have not been previously reported. Our results reveal a signi cant genetic relationship between seed protein and oil fi content traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved seed protein and oil content.

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Identification of Quantitative Trait Loci Associated with Isoflavone Contents in Soybean Seed

  • Kim Myung Sik;Park Min Jung;Hwang Jung Gyu;Jo Soo Ho;Ko Mi Suk;Chung Ill Min;Chung Jong Il
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.5
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    • pp.423-428
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    • 2004
  • Soybean seeds contain high amounts of isoflavones that display biological effects and isoflavone content of soybean seed can vary by year, environment, and genotype. Objective of this study was to identify quantitative trait loci that underlie isoflavone content in soybean seeds. The study involved 85 $F_2$ populations derived from Korean soybean cultivar 'Kwangkyo' and wild type soybean 'IT182305' for QTL analysis associated with isoflavone content. Isoflavone content of seeds was determined by HPLC. The genetic map of 33 linkage groups with 207 markers was constructed. The linkage map spanned 2,607.5 cM across all 33 linkage groups. The average linkage distance between pair of markers among all linkage groups was 12.6 cM in Kosambi map units. Isoflavone content in $F_2$ generations varied in a fashion that suggested a continuous, polygenic inheritance. Eleven markers (4 RAPD, 3 SSR, 4 AFLP) were significantly associated with isoflavone content. Only two markers, Satt419 and CTCGAG3 had F-tests that were significant at P<0.01 in $F_2$ generation for isoflavone content. Interval mapping using the $F_2$ data revealed only two putative QTLs for isoflavone content. The peak QTL region on linkage group 3, which was near OPAG03c, explained $14\%$ variation for isoflavone content. The peak QTL region on linkage group 5, which was located near OPN14 accounted for $35.3\%$ variation for isoflavone content. Using both Map-Maker-QTL $(LOD{\geq}2.0)$ and single-factor analysis $(P{\leq}0.05)$, one marker, CTCGAG3 in linkage group 3 was associated with QTLs for isoflavone content. This information would then be used in identification of QTLs for isoflavone content with precision

Genetic Analysis of Flower Color Traits in Calanthe discolor, C. sieboldii, and Variants Using Molecular Linkage Map (연관지도를 이용한 새우난초, 금새우난초, 변이종의 화색의 유전분석)

  • Cho, Dong-Hoon;Chung, Mi-Young;Jee, Sun-Ok;Kim, Chang-Kil;Chung, Jae-Dong;Kim, Kyung-Min
    • Journal of Life Science
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    • v.19 no.9
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    • pp.1239-1244
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    • 2009
  • This study was conducted to clarify the genetic relationship between Calanthe discolor, C. sieboldii and variants, and the cause of flower color variations by using a molecular linkage map and a quantitative trait loci (QTL) analysis for flower and lip color in Calanthe species native to Korea. Twenty plants were included in three C. discolor and three C. sieboldii, and fourteen variants were obtained from their habitat, Jeju-do in Korea. The flowers of C. discolor were brownish red, the values of Commission Internationale de I'Eclairage (CIE) Lab were between 40 and 50. The flowers of C. sieboldii were yellowish, the values of CIE Lab were between 110 and 130. The variants had various mixed colors that were thought to have originated from natural hybridization between C. discolor and C. sieboldii, and the values of CIE Lab were between 50 and 70. The colors of the lips were usually divided into white and yellow. C. discolor had a white lip, C. sieboldii had a yellow one, and the variants had a white to yellow one. The CIE Lab value of each color was 90 in white and 110 to 120 in yellow lips. A molecular linkage mapping was constructed based on the segregation of 154 RAPD markers using a MAPL program. Sixteen linkage groups containing 66 markers were established. It covered a total map distance of 220.4 cM. The distance between adjacent markers ranged from 0 to 6.6 cM, with an average distance of 3.3 cM. These markers are thought to be closely associated with flower and lip color expression. Among the 16 molecular linkage groups, 3 QTLs had flower color trait loci and 1 QTL had lip color trait loci.