• Title/Summary/Keyword: SSR markers

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QTL Mapping of Agronomic Traits in an Advanced Backcross Population from a Cross between Oryza sativa L. cv. Milyang 23 and O. glaberrima

  • Kang, Ju-Won;Suh, Jung-Pil;Kim, Dong-Min;Oh, Chang-Sik;Oh, Ji-Min;Ahn, Sang-Nag
    • Korean Journal of Breeding Science
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    • v.40 no.3
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    • pp.243-249
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    • 2008
  • In the previous study, 141 $BC_3F_2$ lines from a cross between the Oryza sativa cv. Milyang 23 and O. glaberrima were used to identify favorable wild QTL alleles for yield component traits. In this study, we carried out QTL analysis of four grain morphology as well as four yield component traits using 141 $BC_3F_5$ lines from the same cross and compared QTLs detected in two different generations. The mean number of O. glaberrima segments in the 141 $BC_3F_5$ lines ranged from 1 to 13 with 2.69 and 5.71 of the average means of homozygous and heterozygous segments, respectively. There was a three-fold difference in the number of QTLs detected for four traits commonly evaluated in two generations (seven QTLs in the $BC_3F_5$ vs 21 in the $BC_3F_2$ population). The percentages of the phenotypic variance explained by QTLs in the BC3F5 population were similar to or less than those in the $BC_3F_2$ population. This is probably due to the difference in the genetic composition of two populations and the environmental effects. The locations of the QTLs commonly detected in both generations were in good agreement except for one QTL for spikelets per panicle. The yield QTL, yd3 was colocalized with the spikelets per panicle, spp3. Yield increase at this locus is due to the increase in spikelets per panicle, because both traits were associated with increase in spikelets per panicle and yield due to the presence of an O. glaberrima allele. Clusters of QTLs for grain morphology traits were observed in two chromosome regions. One cluster harboring five QTLs near SSR markers RM106 and RM263 was detected on chromosome 2. This population would serve as a foundation for development of the introgression line population from a cross between Milyang 23 and O. glaberrima.

QTL Mapping of Cold Tolerance at the Seedling Stage using Introgression Lines Derived from an Intersubspecific Cross in Rice

  • Park, In-Kyu;Oh, Chang-Sik;Kim, Dong-Min;Yeo, Sang-Min;Ahn, Sang-Nag
    • Plant Breeding and Biotechnology
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    • v.1 no.1
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    • pp.1-8
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    • 2013
  • Low-temperature stress is an important factor controlling the growth and development of rice (Oryza sativa L.) in temperate region. In this study, a molecular linkage map consisting of 136 SSR markers was employed to identify QTL associated with cold tolerance at the seedling stage. 80 recombinant inbred lines (RILs) from an intersubspecific cross between Milyang23 (O. sativa ssp. Indica) and Hapcheonaengmi3, a japonica weedy rice and the parents were evaluated for leaf discoloration and SAPD value of seedlings. Rice plants were grown for 15 days in the low-temperature condition (13/20℃ day/night) and the control condition (25/20℃ day/night) in the growth chamber. The degree of leaf discoloration showed a highly significant correlation with the SPAD value in the low-temperature plot (r = -0.708, P < 0.0001). A total of four QTLs for SPAD were identified and the phenotypic variance explained by each QTL ranged from 5.4 to 16.0%. Two QTLs detected in the control condition were located on chromosomes 2 and 5, respectively. Two QTL on chromosomes 1 and 4 were detected at the low-temperature condition and Hapcheonaengmi3 alleles increased the SPAD values at these loci. Substitution mapping was conducted to delimit the position of qSPA-4 using introgression lines derived from the same cross. Results indicated that qSPA-4 was located in a 810-Kb region flanked by RM16333 and RM16368. The results indicated that Hapcheonaengmi3 contains QTL alleles that are likely to improve cold tolerance of Indica rice.

Identification and Characterization of Polymorphic Microsatellite Loci using Next Generation Sequencing in Quercus variabilis (차세대 염기서열 분석을 이용한 굴참나무(Quercus variabilis)의 microsatellite 마커 개발 및 특성 분석)

  • Baek, Seung-Hoon;Lee, Jei-Wan;Hong, Kyung-Nak;Lee, Seok-Woo;Ahn, Ji-Young;Lee, Min-Woo
    • Journal of Korean Society of Forest Science
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    • v.105 no.2
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    • pp.186-192
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    • 2016
  • This study was conducted to develop microsatellite markers in Quercus variabilis using next generation sequencing. A total of 305,771 reads (384 bp on average) were generated on a Roche GS-FLX system, yielding 117 Mbp of sequences. The de novo assembly resulted in 7,346 contigs. A total of 606 contigs (20.75%) including 911 microsatellite loci were derived from the 2,921 contigs longer than 500 bp. A total of 180 primer sets were designed from the 911 microsatellite loci and screened in eight Q. variabilis individual trees sampled from a natural stand to obtain polymorphic loci. As a result, a total of thirteen polymorphic microsatellite loci were selected and used for estimating population genetic parameters in the 54 individual trees. The mean number of effective alleles was 4.996 ranging from 2.439 to 7.515. The observed heterozygosity and the expected heterozygosity ranged between 0.731 and 1.000 with an average of 0.873 and from 0.590 to 0.867 with an average of 0.766, respectively. Null alleles were not detected in all loci. No significant linkage disequilibrium was detected after Bonferroni correction in all loci. In the near future, these novel polymorphic microsatellite markers will be used to study population and conservation genetics of Q. variabilis of Korea in more detail.

Identification of QTLs for Some Agronomic Traits in Rice Using an Introgression Line from Oryza minuta

  • Rahman, Md Lutfor;Chu, Sang Ho;Choi, Min-Sun;Qiao, Yong Li;Jiang, Wenzhu;Piao, Rihua;Khanam, Sakina;Cho, Young-Il;Jeung, Ji-Ung;Jena, Kshirod K.;Koh, Hee-Jong
    • Molecules and Cells
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    • v.24 no.1
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    • pp.16-26
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    • 2007
  • Wild progenitor species provide potential gene sources for complex traits such as yield and multiple resistances to biotic and abiotic stresses, and thus are expected to contribute to sustainable food supplies. An introgression line 'IR71033-121-15' was derived from a wild species Oryza minuta (2n = 48, BBCC, Acc No. 101141) at IRRI. Introgression analysis using 530 SSR and STS markers revealed that at least 14 chromosomal segments distributed over 12 chromosomes had been introgressed from O. minuta. An $F_{2:3}$ population from the cross between IR71033 and Junambyeo (a Korean japonica cultivar) consisting of 146 lines was used for quantitative trait loci (QTL) analysis of 16 agronomic traits. A total of 36 single-locus QTLs (S-QTLs) and 45 digenic epistasis (E-QTLs) were identified. In spite of it's inferiority of O. minuta for most of the traits studied, its alleles contributed positively to 57% of the QTLs. The other QTLs originated from either parent, IR71033 or Junambyeo. QTLs for phenotypically correlated traits were mostly detected on introgressed segments. Fourteen QTLs corresponded to QTLs reported earlier, indicating that these QTLs are stable across genetic backgrounds. Twenty-two QTLs controlling yield and its components had not been detected in previous QTL studies. Of these, thirteen consisted of potentially novel alleles from O. minuta. QTLs from O. minuta introgression could be new sources of natural variation for the genetic improvement of rice.

Development of Near-isogenic Japonica Rice Lines with Enhanced Resistance to Magnaporthe grisea

  • Kwon, Soon-Wook;Cho, Young-Chan;Kim, Yeon-Gyu;Suh, Jung-Pil;Jeung, Ji-Ung;Roh, Jae-Hwan;Lee, Sang-Kyu;Jeon, Jong-Seong;Yang, Sae-Jun;Lee, Young-Tae
    • Molecules and Cells
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    • v.25 no.3
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    • pp.407-416
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    • 2008
  • Thirteen near-isogenic lines (NILs) of japonica rice were developed via a backcross method using the recurrent parent Chucheong, which is of good eating quality but is susceptible to Magnaporthe grisea, and three blast resistant japonica donors, Seolak, Daeseong and Bongkwang. The agro-morphological traits of these NILs, such as heading date, culm length, and panicle length, were similar to those of Chucheong. In a genome-wide scan using 158 SSR markers, chromosome segments of Chucheong were identified in most polymorphic regions of the 13 NIL plants, and only a few chromosome segments were found to have been substituted by donor alleles. The genetic similarities of the 13 NILs to the recurrent parent Chucheong averaged 0.961, with a range of 0.932-0.984. Analysis of 13 major blast resistance (R) genes in these lines using specific DNA markers showed that each NIL appeared to contain some combination of the four R genes, Pib, Pii, Pik-m and Pita-2, with the first three genes being present in each line. Screening of nine M. grisea isolates revealed that one NIL M7 was resistant to all nine isolates; the remaining NILs were each resistant to between three and seven isolates, except for NIL M106, which was resistant to only two isolates. In a blast nursery experiment, all the NILs proved to be more resistant than Chucheong. These newly developed NILs have potential as commercial rice varieties because of their increased resistance to M. grisea combined with the desirable agronomic traits of Chucheong. They also provide material for studying the genetic basis of blast resistance.

Analysis of QTLs Related to Resistance to Brown Planthopper in Rice (DH 집단을 이용한 벼멸구 저항성 연관 QTLs 분석)

  • Kim, Suk-Man;Qin, Yang;Sohn, Jae-Keun
    • Korean Journal of Breeding Science
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    • v.41 no.3
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    • pp.236-243
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    • 2009
  • This study was conducted to develop a japonica-type rice cultivar with brown planthopper (BPH) resistance using DNA markers. A doubled haploid (DH) population consisting of 120 pure-lines was established by anther culture of $F_1$ hybrids between 'Samgang', a Tongil type BPH resistance cultivar, and 'Nagdong', a japonica cultivar. To determine the map position of genes responsible for BPH resistance in rice, a genetic map was constructed based on 120 DH lines. A total of 162 molecular markers were classified into 12 linkage groups, covering 1,884 Kosami centimorgan (cM) with an average of 11.6 cM. Five QTLs (qBPR3, qBPR6, qBPR7, qBPR8, and qBPR12) associated with BPH resistance were identified and mapped on chromosomes 3, 6, 7, 8, and 12, respectively, using the genetic map constructed in this study. To analyze the relationship between BPH resistance and agronomic traits, a total of eight QTLs related to the agronomic traits were detected on 12 rice chromosomes. In an analysis of relationships, three QTLs (qBPR3, qBPR7, and qBPR8) showed a linkage with tested agronomic traits. A QTL (qBPR3) located on chromosome 3 (RM282-3023) was closely linked to culm length (qCL3). The QTL (qBPR8) for BPH resistance on the short arm of chromosome 8 also overlapped the region detected in culm length (qCL8).

Analysis of the Genome Sequence of Strain GiC-126 of Gloeostereum incarnatum with Genetic Linkage Map

  • Jiang, Wan-Zhu;Yao, Fang-Jie;Fang, Ming;Lu, Li-Xin;Zhang, You-Min;Wang, Peng;Meng, Jing-Jing;Lu, Jia;Ma, Xiao-Xu;He, Qi;Shao, Kai-Sheng;Khan, Asif Ali;Wei, Yun-Hui
    • Mycobiology
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    • v.49 no.4
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    • pp.406-420
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    • 2021
  • Gloeostereum incarnatum has edible and medicinal value and was first cultivated and domesticated in China. We sequenced the G. incarnatum monokaryotic strain GiC-126 on an Illumina HiSeq X Ten system and obtained a 34.52-Mb genome assembly sequence that encoded 16,895 predicted genes. We combined the GiC-126 genome with the published genome of G. incarnatum strain CCMJ2665 to construct a genetic linkage map (GiC-126 genome) that had 10 linkage groups (LGs), and the 15 assembly sequences of CCMJ2665 were integrated into 8 LGs. We identified 1912 simple sequence repeat (SSR) loci and detected 700 genes containing 768 SSRs in the genome; 65 and 100 of them were annotated with gene ontology (GO) terms and KEGG pathways, respectively. Carbohydrate-active enzymes (CAZymes) were identified in 20 fungal genomes and annotated; among them, 144 CAZymes were annotated in the GiC-126 genome. The A mating-type locus (MAT-A) of G. incarnatum was located on scaffold885 at 38.9 cM of LG1 and was flanked by two homeodomain (HD1) genes, mip and beta-fg. Fourteen segregation distortion markers were detected in the genetic linkage map, all of which were skewed toward the parent GiC-126. They formed three segregation distortion regions (SDR1-SDR3), and 22 predictive genes were found in scaffold1920 where three segregation distortion markers were located in SDR1. In this study, we corrected and updated the genomic information of G. incarnatum. Our results will provide a theoretical basis for fine gene mapping, functional gene cloning, and genetic breeding the follow-up of G. incarnatum.

Identification of Leaf Blast Resistance Genes Derived from a Korean Weedy Rice, Ganghwaaengmi 11 (잡초성벼인 강화앵미11 유래 잎도열병 저항성 유전자 탐색)

  • Suh, Jung-Pil;Cho, Young-Chan;Kim, Jeong-Ju;Shin, Young-Seop;Yang, Chang-Ihn;Roh, Jae-Hwan;Kim, Yeon-Gyu
    • Korean Journal of Breeding Science
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    • v.42 no.4
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    • pp.390-396
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    • 2010
  • A weedy rice, Ganghwaaengmi 11, shows high level of leaf blast resistance. The chromosomal number and locations of genes conferring the leaf blast resistance were detected by QTL (quantitative trait loci) analysis using SSR markers in the 120 RILs (recombinant inbred lines) derived from the cross between Nagdongbyeo and Ganghwaaengmi 11. Ganghwaaengmi 11 expressed compatibility with 20 of the 45 inoculated blast isolates, in contrast to Nagdongbyeo with 44 compatible isolates. To identify QTLs affecting partial resistance, RILs were assessed in upland blast nursery in three regions and inoculated with selected nine blast isolates. QTLs for resistance to blast isolates were identified on chromosomes 7, 11 and 12. Three QTLs associated with blast resistance in nursery test at three regions were also detected on chromosomes 7, 11 and 12. The QTL commonly detected on chromosome 12 was only increased blast resistance by Ganghwaaengmi 11 allele. This QTL accounted for 60.3~78.6% of the phenotypic variation in the blast nursery test. OSR32 and RM101 markers tightly linked to QTL for blast resistance on chromosome 12 might be useful for marker-assisted selection (MAS) and gene pyramiding to improve the blast resistance of japonica rice.

QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation

  • Haddadi, P.;Yazdi-Samadi, B.;Naghavi, M.R.;Kalantari, A.;Maury, P.;Sarrafi, A.
    • Plant Biotechnology Reports
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    • v.5 no.2
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    • pp.135-146
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    • 2011
  • The objective of the present research was to map QTLs associated with agronomic traits such as days from sowing to flowering, plant height, yield and leaf-related traits in a population of recombinant inbred lines (RILs) of sunflower (Helianthus annuus). Two field experiments were conducted with well-irrigated and partially irrigated conditions in randomized complete block design with three replications. A map with 304 AFLP and 191 SSR markers with a mean density of 1 marker per 3.7 cM was used to identify QTLs related to the studied traits. The difference among RILs was significant for all studied traits in both conditions. Three to seven QTLs were found for each studied trait in both conditions. The percentage of phenotypic variance ($R^2$) explained by QTLs ranged from 4 to 49%. Three to six QTLs were found for each yield-related trait in both conditions. The most important QTL for grain yield per plant on linkage group 13 (GYP-P-13-1) under partial-irrigated condition controls 49% of phenotypic variance ($R^2$). The most important QTL for 1,000-grain weight (TGW-P-11-1) was identified on linkage group 11. Favorable alleles for this QTL come from RHA266. The major QTL for days from sowing to flowering (DSF-P-14-1) were observed on linkage group 14 and explained 38% of the phenotypic variance. The positive alleles for this QTL come from RHA266. The major QTL for HD (HD-P-13-1) was also identified on linkage group 13 and explained 37% of the phenotypic variance. Both parents (PAC2 and RHA266) contributed to QTLs controlling leaf-related traits in both conditions. Common QTL for leaf area at flowering (LAF-P-12-1, LAF-W-12-1) was detected in linkage group 12. The results emphasise the importance of the role of linkage groups 2, 10 and 13 for studied traits. Genomic regions on the linkage groups 9 and 12 are specific for QTLs of leaf-related traits in sunflower.

QTLs Identification and Confiirmation of Field Resistance to Leaf Blast in Temperate japonica Rice (Oryza sativa L.)

  • Cho, Young-Chan;Kwon, Soon-Wook;Suh, Jung-Pil;Kim, Jeong-Ju;Lee, Jeom-Ho;Roh, Jae-Hwan;Oh, Myung-Kyu;Kim, Myeong-Ki;Ahn, Sang-Nag;Koh, Hee-Jong;Yang, Sae-Jun;Kim, Yeon-Gyu
    • Journal of Crop Science and Biotechnology
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    • v.11 no.4
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    • pp.269-276
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    • 2008
  • Field resistance is defined as the resistance that allows effective control of a parasite under natural field condition and is durable when exposed to new races of that parasite. To identify the genes for field resistance to rice blast, quantitative trait loci (QTLs) conferring the resistance for races and blast nursery screening in japonica rice cultivars were detected and mapped using SSR markers. QTL analysis was carried out in 190 RILs population from the cross between Suweon365 (moderately resistant) and Chucheong (highly susceptible). Twelve QTLs against nine blast races inoculated were detected on chromosomes 1, 2, 4, 6, 7, 11 and 12. They explained from 5.1% to 34.9% of total phenotypic variation. Eight QTLs against blast nursery screening in four regions for three years were detected on chromosomes 1, 2, 4, 11 and 12. The phenotypic variation explained by each QTL ranged from 4.3% to 37.7%. Three chromosome segment substitution lines (CSSLs) of $BC_2F_6$ by backcross method were developed to transfer the QTLs into the susceptible cultivar Chucheong as a recurrent parent. A CSSL4-1 containing two QTLs qLB6.2 and qLB7 against blast races showed to the reaction of 6 to 7 at blast nursery in two regions for two years. The CSSL4-2 and CSSL93 containing QTLs, qLB11.2 and qLB12.1 of the resistance against leaf blast in blast nursery screening, respectively, had enhanced the resistance for blast nursery screening across two regions and in two years.

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