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Volume 7(3); September 2019

Review Article

Regulatory Genes and Enzymatic Complex of Flowering Time in Rice
Satyen Mondal, Najeebul Rehman Sofi, M M Emam Ahmed, Tuhin Halder, Partha S Biswas
Plant Breed. Biotech. 2019;7(3):161-174.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.161

Flowering time (heading date) of the rice plant is considered an important agronomic trait for environmental adaptation and grain yield. It is controlled by multiple genes and is regulated by different environmental factors, such as day length, temperature, soil moisture, etc. So far, approximately 125 genes regulating flowering process and floral organ identity or development directly or indirectly have been reported in rice. Among these genes, Heading date 3a (Hd3a), RICE FLOWERING LOCUS T1 (RFT1), Heading date 5 (Hd5), MORF-RELATED GENE702 (MRG702), Casein kinases, CKI and CK2α, Pseudo-Response Regulator 37 (PRR37), Hd gene family have been reported as the key genes regulating flowering time in rice; however, their functions are mostly inter-related. Hd3a and RFT1 that encode florigens, are known as the floral transition genes in rice. In rice, florigen immediately induces downstream genes in the shoot apical meristem (SAM) to start the transition from vegetative to reproductive phase. RFT1 gene regulates flowering time with pivotal action while Hd3a, regulates under long day conditions. The Hd5 gene regulates flowering time in variation of early heading for adaptation depending on environmental signals. MRG702, a reader protein, promotes flowering. Casein kinases, CKI and CK2α directly influence the function of the early heading regulator PRR37. Hd16/CKI hinders flowering time in the Ehd1-concerned pathway through phosphorylation of Ghd7 and PRR37. Natural variants of Hd1, PRR37, Ghd7, DTH8, Hd6, and Hd16 were found in the rice varieties that are cultivated presently in Asia and Europe, and their variants play significant roles in the down streaming of Ehd1 expression to delay flowering time in natural long day (LD) conditions.

Citations

Citations to this article as recorded by  
  • Exogenous and Endogenous Signals: Critical Factors for Regulation of Flowering Time and Grain Yield in Rice
    E. Kariali, S. Panigrahi, P. K. Suna, P. K. Senapati, R. Das, P. Dwivedi
    Russian Journal of Plant Physiology.2025;[Epub]     CrossRef
  • CRISPR-Cas technology based genome editing for modification of salinity stress tolerance responses in rice (Oryza sativa L.)
    Ibrahim Khan, Sikandar Khan, Yong Zhang, Jianping Zhou, Maryam Akhoundian, Sohail Ahmad Jan
    Molecular Biology Reports.2021; 48(4): 3605.     CrossRef
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Research Articles
Analysis of Qualitative and Quantitative Traits to Identify Different Chinese Jujube Cultivars
Sea-Hyun Kim, Jae-Ik Nam, Chul-Woo Kim
Plant Breed. Biotech. 2019;7(3):175-185.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.175

Chinese jujube (Ziziphus jujuba Mill.) is highly resistant to environmental stress and can be easily cultivated, thus many jujube cultivars are being developed. However, the same cultivars had been cultivated with different names. Thus, systematic management is required to protect the intellectual property of different varieties. To aid systematic control of jujube cultivars, this study presents efficient markers for distinguishing cultivars through identification of morphological characteristics and relationships among 25 jujubes. Among 10 qualitative characteristics, flowering time, fructification time, presence of thorns, and shape of fruit were found to be useful traits for the cultivar identification. In the results of principal component analysis, 3 principal components (PC) represented 73% for the total variations. PC1 showed high positive correlations with fruit–related characteristics and PC2 formed a cluster with leaf-related characteristics. Therefore, the differences in fruit and leaf were identified as useful traits for the cultivar identification. According to the results of cluster analysis, which largely divided cultivars into 4 clusters, Sour jujube 2, with smaller fruits and leaves, was separated first. Cluster II included Chinese cultivars with large fruit sizes, such as Dalizao, Dabailing, Damaya, and Daguazao. Three Korean cultivars were grouped with Bokjo, Panzao, Zanhuangdazao, and Jinsi No. 3, and the remaining 13 cultivars formed a separate cluster.

Citations

Citations to this article as recorded by  
  • Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning
    Ewa Ropelewska, Kadir Sabanci, Muhammet Fatih Aslan
    Agriculture.2021; 11(12): 1212.     CrossRef
  • The Application of Machine Learning for Cultivar Discrimination of Sweet Cherry Endocarp
    Ewa Ropelewska
    Agriculture.2020; 11(1): 6.     CrossRef
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Genetic Diversity and Association Analyses of Chinese Maize Inbred Lines Using SSR Markers
Yin Vathana, Kyu Jin Sa, Su Eun Lim, Ju Kyong Lee
Plant Breed. Biotech. 2019;7(3):186-199.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.186

We selected 68 Chinese maize inbred lines to understand the genetic diversity, population structure, and marker-trait associations for eight agronomic traits and 50 simple sequence repeats (SSRs) markers. In this study, effective traits, such as days of anthesis (DA), days of silking (DS), ear height (EH), plant to ear height ratio (ER), plant height (PH), and leaf width (LW) were divided into PC1 and PC2 by PCA analysis for maize inbred lines. Genetic diversity analysis revealed a total of 506 alleles at 50 SSR loci. The mean number of alleles per locus was 10.12. The averages of genetic diversity (GD) and polymorphic information content (PIC) values were 0.771 and 0.743, respectively. Based on a membership probability threshold of 0.80, the population structure revealed that the total inbred lines were divided into three major groups with one admixed group. A marker-trait association using Q + K MLM showed that nine SSR markers (bnlg1017, umc2041, umc2400, bnlg105, umc1229, umc1250, umc1066, umc2092, and umc1426) were related with seven agronomic traits. Among these SSR markers, eight SSR markers were associated with only one agronomic trait (DA, DS, ER, LL, LW, PH, and ST), whereas one SSR marker (umc1229) was associated with two agronomic traits (DA and ST). These results will help in optimizing the choice of inbred lines for cross combinations, as well as in selecting markers for further maize breeding programs.

Citations

Citations to this article as recorded by  
  • Assessment of combining ability for grain yield and its attributing traits in maize (Zea mays L.)
    Jiban Shrestha, Surya Kant Ghimire, Krishna Hari Dhakal, Mahendra Prasad Tripathi
    Discover Agriculture.2026;[Epub]     CrossRef
  • Mapping of quantitative trait loci associated with fodder quality traits in forage maize (Zea mays L.)
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Senthil Natesan
    Euphytica.2025;[Epub]     CrossRef
  • Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances
    Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Kyu Jin Sa, Ju Kyong Lee
    Genetic Resources and Crop Evolution.2025; 72(3): 2959.     CrossRef
  • Molecular diversity, population structure analysis, and assessment of parent hybrid relationships in fodder maize
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Selection of superior and stable fodder maize hybrids using MGIDI and MTSI indices
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers
    Muhammad Zahaib Ilyas, Hyeon Park, So Jung Jang, Jungeun Cho, Kyu Jin Sa, Ju Kyong Lee
    Plants.2023; 12(24): 4092.     CrossRef
  • Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize
    Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang, Jungeun Cho, Tae Hyeon Heo, Ju Kyong Lee
    Genes & Genomics.2023; 45(12): 1587.     CrossRef
  • Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, So Jung Jang, Ju Kyong Lee
    Plant Breeding and Biotechnology.2023; 11(1): 15.     CrossRef
  • Genetic diversity and population structure analysis in early generations maize inbreds derived from local germplasm of Eastern Himalayan regions using microsatellite markers
    E. Lamalakshmi Devi, Umakanta Ngangkham, Sunil Kumar Chongtham, Bhuvaneswari S, Ingudam Bhupenchandra, Konsam Sarika, Harendra Verma, Akoijam Ratankumar Singh, Amit Kumar, Tensubam Basanta Singh, Amit Kumar, T. L. Bhutia, S. K. Dutta, Shaon Kumar Das, Ram
    Plant Genetic Resources: Characterization and Utilization.2023; 21(5): 418.     CrossRef
  • Identification of SSR Markers Associated with Yield-Related Traits and Heterosis Effect in Winter Oilseed Rape (Brassica Napus L.)
    Joanna Wolko, Agnieszka Łopatyńska, Łukasz Wolko, Jan Bocianowski, Katarzyna Mikołajczyk, Alina Liersch
    Agronomy.2022; 12(7): 1544.     CrossRef
  • Genetic Diversity and Population Structure of Normal Maize Germplasm Collected in South Sudan Revealed by SSR Markers
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, Yeon Joon Kim, Ju Kyong Lee
    Plants.2022; 11(20): 2787.     CrossRef
  • Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics
    E. E. Shamsabadi, H. Sabouri, H. Soughi, S. J. Sajadi
    Russian Journal of Genetics.2022; 58(5): 603.     CrossRef
  • Genetic characterization and association mapping in near-isogenic lines of waxy maize using seed characteristics and SSR markers
    Hae Ri Kim, Kyu Jin Sa, Min Nam-Gung, Ki Jin Park, Si-Hwan Ryu, Chang Yeun Mo, Ju Kyong Lee
    Genes & Genomics.2021; 43(1): 79.     CrossRef
  • Genetic variation and association mapping in the F2 population of the Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers
    Ju Yeon Kim, Kyu Jin Sa, Ye Ju Ha, Ju Kyong Lee
    Euphytica.2021;[Epub]     CrossRef
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Genetic Variation Analysis of Chinese Jujube Cultivars Using ISSR Molecular Markers
Jae-Ik Nam, Sea-Hyun Kim, Chul-Woo Kim
Plant Breed. Biotech. 2019;7(3):200-207.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.200

Chinese jujube (Ziziphus jujuba Mill.) is an economically important species with over 4,000 years of cultivation history. Cultivar classification and phylogenetic relationship of jujube have been controversial due to the lack of data related to species origin and cultivation. In this study, inter simple sequence repeat (ISSR) markers were used to analyze the genetic characteristics and relationships of Korean and Chinese jujube cultivars. The amplification of genomic DNA of the 32 accessions using 11 primers yielded 149 amplified bands, of which 141 were polymorphic. The amplification of 22 jujube cultivars generated 76 bands, 40 of which were polymorphic, suggesting that many polymorphic bands appeared in the outgroup. The mean genetic similarity index (GSI) of the cultivars was 0.835; Bokjo, Geumseong, Wolchul, and Mudeung cultivars showed the highest GSI of 1, and Sandonglizao and Xiaolizao had the lowest GSI of 0.658. The cluster analysis resolved Indian jujube (Z. mauritiana Lam.) and Paliurus ramosissimus Poir. in a basal Group I, sour jujube 2 (Z. acidojujuba C.Y. Cheng & M.J. Liu) and Damaya formed Group II, Dabailing and Daguazao were clustered in Group III, and the remaining accessions formed Group IV. The Korean cultivars and Korean native varieties showed genetic uniformity and were close to some Chinese cultivars. Accordingly, exploration of domestic and foreign genetic resources should be supplemented with survey of characteristics of collected material for genetic resources management and breeding of elite lines.

Citations

Citations to this article as recorded by  
  • Genetic diversity analysis of pomelo germplasm resources based on leaf phenotype and SCoT markers
    Xiaoqi Duan, Faisal Hayat, Ziqi Lei, Haocheng Ruan, Wenzhao Lin, Panfeng Tu, Caiqin Li, Wenpei Song, Yongquan Li, Juan Li, Lubin Zhang, Guohua Li, Ruifeng Ma, Wentao Gou, Gensheng Xiao, Qin Wang, Qiansong Wang
    Scientia Horticulturae.2025; 346: 114174.     CrossRef
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Kompetitive Allele-Specific PCR Marker Development and Quantitative Trait Locus Mapping for Bakanae Disease Resistance in Korean Japonica Rice Varieties
Kyeong-Seong Cheon, Young-Min Jeong, Youn-Young Lee, Jun Oh, Do-Yu Kang, Hyoja Oh, Song Lim Kim, Nyunhee Kim, Eungyeong Lee, Jeongho Baek, Inchan Choi, Kyung-Hwan Kim, Yong Jae Won, In Sun Yoon, Young-il Cho, Jung-Heon Han, Hyeonso Ji
Plant Breed. Biotech. 2019;7(3):208-219.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.208

High-throughput molecular markers with high genotyping accuracy will be helpful for genetic analysis, mapping of interesting genes, and rice breeding program. To develop high-throughput and cost-effective molecular markers for Korean japonica rice varieties, which are closely-related genetically, we designed kompetitive allele-specific polymerase chain reaction (KASP) assays from the sequence data of 13 Korean japonica rice varieties. Of the 504 new KASP assays, 371 (73.6%) showed polymorphisms among the tested varieties. In addition to the 400 previously developed KASP markers, this resulted in 771 KASP markers being applicable for Korean japonica rice varieties. These KASP markers were used to map the quantitative trait loci (QTLs) for rice bakanae disease (BD) resistance. From the results of QTL mapping and determination of the mortality rate of BD in two F2:F3 populations, a major QTL, qFfR1-1, and a novel QTL, qFfR6, were revealed on chromosome 1 in the Junam/Nampyeong F2:F3 population and on chromosome 6 in the Saenuri/Nampyeong F2:F3 population, respectively. Further, the insertion/deletion markers in the qFfR1-1 region were developed to select BD-resistant japonica rice varieties. The 771 developed KASP markers will accelerate the molecular breeding in Korean japonica rice varieties, and the detected QTLs will be helpful in identifying candidate genes for BD resistance.

Citations

Citations to this article as recorded by  
  • Genetic Diversity and Structural Network Analysis of Korean Rice Varieties Using TCS-based SNPs
    Chang-Min Lee, Hyun-Su Park, Jeonghwan Seo, Song-Hee Park, O-Young Jeong, Keon-Mi Lee, Seul-Gi Park
    Korean Journal of Breeding Science.2026; 58(1): 1.     CrossRef
  • QTL Analysis for Heading Date and Yield-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Koshihikari’ and ‘IS592BB’
    Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, Keon-Mi Lee, O-Young Jeong
    Korean Journal of Breeding Science.2026; 58(2): 147.     CrossRef
  • Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
    Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
    npj Science of Plants.2025;[Epub]     CrossRef
  • Genome-wide association mapping of bakanae disease resistance in rice
    Istiaq Ahmed, Stephen Woodward, Gareth J. Norton
    Computational Biology and Chemistry.2025; 119: 108538.     CrossRef
  • QTL Analysis for Yield and Grain-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between ‘Boramchan’ and ‘Pecos’
    Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2025; 57(2): 131.     CrossRef
  • Quantitative Trait Locus Analysis for Quality-Related Traits Using the Recombinant Inbred Lines Derived from a Cross between “Boramchan” and “Pecos” Japonica Rice
    Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Hyeonso Ji, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2025; 57(4): 373.     CrossRef
  • Genomic Regions and Molecular Markers Associated with Deeper Rooting to Improve Grain Yield in Aerobic Rice (Oryza sativa L.) Production Systems
    Wenliu Gong, Ricky Vinarao, Christopher Proud, Shona Wood, Peter Snell, Shu Fukai, Jaquie Mitchell
    Rice.2025;[Epub]     CrossRef
  • Map-Based Cloning and Characterization of a Major QTL Gene, FfR1, Which Confers Resistance to Rice Bakanae Disease
    Hyeonso Ji, Kyeong-Seong Cheon, Yunji Shin, Chaewon Lee, Seungmin Son, Hyoja Oh, Dong-Kyung Yoon, Seoyeon Lee, Mihyun Cho, Soojin Jun, Gang-Seob Lee, Jeongho Baek, Song Lim Kim, Il-Pyung Ahn, Jae-Hyeon Oh, Hye-Jin Yoon, Young-Soon Cha, Kyung-Hwan Kim
    International Journal of Molecular Sciences.2024; 25(11): 6214.     CrossRef
  • QTL Analysis for Pre-Harvest Sprouting and Low-Temperature Germinability Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Heyonso Ji, Gileung Lee, Chang-Min Lee, Jae-Ryoung Park, Songhee Park, Keon-Mi Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 79.     CrossRef
  • Quantitative Trait Loci Analysis of Quality-Related Traits Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Chang-Min Lee, Songhee Park, Keon-Mi Lee, Jae-Ryoung Park, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(4): 395.     CrossRef
  • QTL Analysis for Yield-Related Traits Using the Recombinant Inbred Lines Derived From a Cross Between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Songhee Park, Jae-Ryoung Park, Chang-Min Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(1): 31.     CrossRef
  • Bakanae Disease Resistance in Rice: Current Status and Future Considerations
    Liwei Zhan, Ling Chen, Yuxuan Hou, Yuxiang Zeng, Zhijuan Ji
    Agronomy.2024; 14(7): 1507.     CrossRef
  • Identification of qBK2.1, a novel QTL controlling rice resistance against Fusarium fujikuroi
    Szu-Yu Chen, Ming-Hsin Lai, Yi-Ling Chu, Dong-Hong Wu, Chih-Wei Tung, Yue-Jie Chen, Chia-Lin Chung
    Botanical Studies.2023;[Epub]     CrossRef
  • Evaluation of Major Rice Varieties for Bakanae Disease Resistance in Korea
    Sais-Beul Lee, Ju-Won Kang, Ji-Yoon Lee, Gi-Un Seong, Youngho Kwon, So-Myeong Lee, Nkulu Rolly Kabang, Jun-Hyeon Cho, Seong-Hwan Oh, Dongjin Shin, Jong-Hee Lee, Ki-Won Oh, Dong-Soo Park
    Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef
  • Current insights on rice (Oryza sativa L.) bakanae disease and exploration of its management strategies
    Chinnannan Karthik, Qingyao Shu
    Journal of Zhejiang University-SCIENCE B.2023; 24(9): 755.     CrossRef
  • Fine mapping of qBK1.2, a major QTL governing resistance to bakanae disease in rice
    Amar Kant Kushwaha, Ranjith Kumar Ellur, Sarvesh Kumar Maurya, Gopala Krishnan S., Bishnu Maya Bashyal, Prolay Kumar Bhowmick, K. K. Vinod, Haritha Bollinedi, Nagendra Kumar Singh, Ashok Kumar Singh
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Molecular Breeding of Zheyou810, an Indica–Japonica Hybrid Rice Variety with Superior Quality and High Yield
    Jian Song, Yongtao Cui, Honghuan Fan, Liqun Tang, Jianjun Wang
    Agriculture.2023; 13(9): 1807.     CrossRef
  • The Multiple Disease-resistant, Mid-late Maturing Rice Cultivar ‘Chamdongjin’, Carrying the Bacterial Blight Resistance Gene Xa21, with the Genetic Background of ‘Sindongjin’
    Hyun-Su Park, Man-Kee Baek, Woo-Jae Kim, Jung-Pil Suh, Jeom-Ho Lee, Ji-Ung Jeung, Choon-Song Kim, O-Young Jeong, Deok-Ryeol Lee, Chang-Min Lee, Jong-Min Jeong, Young-Jun Mo, Su-Kyung Ha, Dong-Kyu Lee, Hyeonso Ji, Jeonghwan Seo, Jae-Ryoung Park, Hyun-Sook
    Korean Journal of Breeding Science.2023; 55(1): 86.     CrossRef
  • KASP mapping of QTLs for yield components using a RIL population in Basmati rice (Oryza sativa L.)
    Hamza Ashfaq, Reena Rani, Naila Perveen, Allah Ditta Babar, Umer Maqsood, Muhammad Asif, Katherine A. Steele, Muhammad Arif
    Euphytica.2023;[Epub]     CrossRef
  • Development and Application of a Target Capture Sequencing SNP-Genotyping Platform in Rice
    Chaewon Lee, Kyeong-Seong Cheon, Yunji Shin, Hyoja Oh, Young-Min Jeong, Hoon Jang, Yong-Chan Park, Kyung-Yun Kim, Hang-Chul Cho, Yong-Jae Won, Jeongho Baek, Young-Soon Cha, Song-Lim Kim, Kyung-Hwan Kim, Hyeonso Ji
    Genes.2022; 13(5): 794.     CrossRef
  • Identification of Grain Size-Related QTLs in Korean japonica Rice Using Genome Resequencing and High-Throughput Image Analysis
    Yunji Shin, Yong Jae Won, Chaewon Lee, Kyeong-Seong Cheon, Hyoja Oh, Gang-Seob Lee, Jeongho Baek, In Sun Yoon, Song Lim Kim, Young-Soon Cha, Kyung-Hwan Kim, Hyeonso Ji
    Agriculture.2022; 12(1): 51.     CrossRef
  • Characterization and QTL Mapping of a Major Field Resistance Locus for Bacterial Blight in Rice
    Jae-Ryoung Park, Chang-Min Lee, Hyeonso Ji, Man-Kee Baek, Jeonghwan Seo, O-Young Jeong, Hyun-Su Park
    Plants.2022; 11(11): 1404.     CrossRef
  • Breeding of High Cooking and Eating Quality in Rice by Marker-Assisted Backcrossing (MABc) Using KASP Markers
    Me-Sun Kim, Ju-Young Yang, Ju-Kyung Yu, Yi Lee, Yong-Jin Park, Kwon-Kyoo Kang, Yong-Gu Cho
    Plants.2021; 10(4): 804.     CrossRef
  • Recent Advances in Rice Varietal Development for Durable Resistance to Biotic and Abiotic Stresses through Marker-Assisted Gene Pyramiding
    Md Azadul Haque, Mohd Y. Rafii, Martini Mohammad Yusoff, Nusaibah Syd Ali, Oladosu Yusuff, Debi Rani Datta, Mohammad Anisuzzaman, Mohammad Ferdous Ikbal
    Sustainability.2021; 13(19): 10806.     CrossRef
  • Genomic Variation in Korean japonica Rice Varieties
    Hyeonso Ji, Yunji Shin, Chaewon Lee, Hyoja Oh, In Sun Yoon, Jeongho Baek, Young-Soon Cha, Gang-Seob Lee, Song Lim Kim, Kyung-Hwan Kim
    Genes.2021; 12(11): 1749.     CrossRef
  • Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.)
    Soon-Wook Kwon, Na-Eun Kim, Sang-Hyeon Jin, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
    Plant Breeding and Biotechnology.2021; 9(4): 355.     CrossRef
  • QTL mapping for pre-harvest sprouting resistance in japonica rice varieties utilizing genome re-sequencing
    Kyeong-Seong Cheon, Yong Jae Won, Young-Min Jeong, Youn-Young Lee, Do-Yu Kang, Jun Oh, Hyoja Oh, Song Lim Kim, Nyunhee Kim, Eungyeong Lee, In Sun Yoon, Inchan Choi, Jeongho Baek, Kyung-Hwan Kim, Hyun-Su Park, Hyeonso Ji
    Molecular Genetics and Genomics.2020; 295(5): 1129.     CrossRef
  • Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi
    An-Po Cheng, Szu-Yu Chen, Ming-Hsin Lai, Dong-Hong Wu, Shih-Shun Lin, Chieh-Yi Chen, Chia-Lin Chung
    Rice.2020;[Epub]     CrossRef
  • Marker integration and development of Fluidigm/KASP assays for high-throughput genotyping of radish
    Hee-Ju Yu, Young-Min Jeong, Young-Joon Lee, Bomi Yim, Ara Cho, Jeong-Hwan Mun
    Horticulture, Environment, and Biotechnology.2020; 61(4): 767.     CrossRef
  • Development of 454 New Kompetitive Allele-Specific PCR (KASP) Markers for Temperate japonica Rice Varieties
    Kyeong-Seong Cheon, Young-Min Jeong, Hyoja Oh, Jun Oh, Do-Yu Kang, Nyunhee Kim, Eungyeong Lee, Jeongho Baek, Song Lim Kim, Inchan Choi, In Sun Yoon, Kyung-Hwan Kim, Yong Jae Won, Young-il Cho, Jung-Heon Han, Hyeonso Ji
    Plants.2020; 9(11): 1531.     CrossRef
  • Multiple Disease Resistant Early Maturing Rice Cultivar ‘IS592BB’ with the Genetic Background of ‘Unkwang’
    Hyun-Su Park, Man-Kee Baek, Woo-Jae Kim, Chang-Min Lee, Hyeonso Ji, Jung-Pil Suh, O-Young Jeong, Young-Chan Cho, Jeom-Ho Lee
    Korean Journal of Breeding Science.2020; 52(4): 473.     CrossRef
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DNA Barcoding for Efficient Identification of Triticum Subspecies: Evaluation of Four Candidate Loci on Phylogenetic Relationships
Sebastin Raveendar, Gi-An Lee, Kyung Jun Lee, Myoung-Jae Shin, Seong Hoon Kim, Jung-Ro Lee, Gyu-Taek Cho, Do Yoon Hyun
Plant Breed. Biotech. 2019;7(3):220-228.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.220

Since traditional taxonomic studies possess intrinsic limitations with plant species identification, combinations of DNA barcodes have been considered a powerful tool to discover undetected genetic variation within species across large geographic areas, providing more precise estimates of biodiversity. However, the lack of efficient and universal markers is often considered a peculiar challenge in molecular taxonomic studies across plant taxa. Similarly, many loci have been proposed for DNA barcodes; still standardizing regions as a DNA barcode is vital for making them efficiently discriminate plant species. In this study, we tested the phylogenetic utility of nuclear (nrDNA) region (ITS2) with chloroplast (cpDNA) regions (matK, psbA-trnH, and rbcL) for efficient discrimination of Triticum species. A total of 109 accessions representing 16 recognized genotypes in the Triticum genus have been sampled to assess the efficiency of barcoding loci to resolve species discrimination. As expected from earlier studies, our results also revealed that a single locus has difficulty in discriminating Triticum species. Species discrimination in Triticum taxa was martially improved by using a combination of gene loci; however, the closely related species, T. aestivum and T. turgidum, had no DNA barcode to separate them. Thus, we recommend further research on finding species-specific SNP using intragenic regions as standard DNA barcode loci in Poaceae.

Citations

Citations to this article as recorded by  
  • Valorizing Traditional Greek Wheat Varieties: Phylogenetic Profile and Biochemical Analysis of Their Nutritional Value
    Niki Mougiou, Spyros Didos, Ioanna Bouzouka, Athina Theodorakopoulou, Michael Kornaros, Ioannis Mylonas, Anagnostis Argiriou
    Agronomy.2023; 13(11): 2703.     CrossRef
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Differential Expression Pattern of Lignin Biosynthetic Genes in Dwarf Cherry Tomato (Solanum lycopersicum var. cerasiforme)
Md Abdur Rahim, AKM Zilani Rabbi, Khandker Shazia Afrin, Hee-Jeong Jung, Hoy-Taek Kim, Jong-In Park, Ill-Sup Nou
Plant Breed. Biotech. 2019;7(3):229-236.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.229

Cherry tomatoes are highly nutritious, flavory with a pleasant taste and are becoming increasingly popular to the consumers. The cherry tomato cv. ‘Minichal’ produced some dwarf plants along with normal plants. Lignin, a phenolic biopolymer is the key component of cell walls in plants. Here, we analyzed lignin biosynthesis-related genes in leaves, inflorescences and fruits of dwarf and normal cherry tomato plants by reverse-transcription quantitative PCR (RT-qPCR). Among analyzed genes, SlCCOAOMT1, SlCCOAOMT2, SlCCOAOMT3, SlF5H, and SlCOMT showed significantly higher expressions, in leaf and inflorescence of dwarf plants compared with the normal plants, while SlPAL1 showed a significantly higher expression only in the leaves. On the contrary, SlHCT and SlC3H showed significantly lower expression levels in the leaves and inflorescences of dwarf plants compared with normal ones. The results suggest that SlHCT and SlC3H might have an impact on the dwarf cherry tomato plants.

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  • Joint Impacts of Meloidogyne incognita and Soil Nutrition on Solanum lycopersicum var. cerasiforme
    Lei Wang, Xingfu Yan, Zhanhui Tang
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    Lei Wang, Xin Chen, Xingfu Yan, Congli Wang, Pingting Guan, Zhanhui Tang
    Frontiers in Ecology and Evolution.2023;[Epub]     CrossRef
  • Nutrients Regulate the Effects of Arbuscular Mycorrhizal Fungi on the Growth and Reproduction of Cherry Tomato
    Lei Wang, Xin Chen, Yeqin Du, Di Zhang, Zhanhui Tang
    Frontiers in Microbiology.2022;[Epub]     CrossRef
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FISH Karyotype Comparison between Wild and Cultivated Perilla Species Using 5S and 45S rDNA Probes
Eliazar Alumbro Peniton, Nomar Espinosa Waminal, Tae-Ho Kim, Hyun Hee Kim
Plant Breed. Biotech. 2019;7(3):237-244.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.237

Perilla species (Lamiaceae) have been used as a resource for oilseeds and vegetables, and medicinal purposes. Cytogenetic studies based on chromosomal composition are essential to understand the basic genome structure of a species and to provide vital information for crop improvements. However, only a few studies have assessed the cytogenetic aspects of Perilla species. Fluorescence in situ hybridization (FISH) karyotypes using 5S and 45S rDNA probes were analyzed for the wild and cultivated species of Perilla: P. citriodora and P. frutescens. Chromosome complements were diploid in P. citriodora and allotetraploid in P. frutescens. The chromosome length ranged from 3.07 to 4.92 μm and 2.41 to 5.73 μm in the diploid and allotetraploid variants, respectively. The karyotypic formula was 2n = 12m + 8sm (2 satellites) for P. citriodora and 2n = 20m + 20sm (2 satellites) for P. frutescens. A pair of 5S signals was detected in the telomeric region of chromosome pair 7, while a pair of 45S rDNA signals was detected in the telomeric region extending through the satellite region of chromosome 2 of P. citriodora. However, two pairs of 5S signals were detected from the interstitial to the telomeric regions of chromosome 7 and 17, and a pair of 45S rDNA signals was located on the satellite region of chromosome 20 of P. frutescens. This result will provide useful information to develop a breeding program and to construct the chromosomal backbone for the ongoing genome sequence assembly project.

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  • Cytogenomic profiling of Panax ginseng cultivars and in vitro root cultures through multi-color PLOP-FISH and flow cytometry reveals somaclonal variations
    Eliazar A. Peniton Jr., Hong T. Nguyen, Nomar E. Waminal, Tae-Jin Yang, Hyun Hee Kim
    Journal of Ginseng Research.2026; 50(4): 101058.     CrossRef
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    Eliazar Alumbro Peniton, Hong Thi Nguyen, Nomar Espinosa Waminal, Tae-Jin Yang, Hyun Hee Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Comparative triple-color FISH mapping and genome size advances understanding of the cytogenetic diversity in wild Solanum species
    Hong Thi Nguyen, Soon Ju Park, Byung Yong Kang, Hyun Hee Kim
    Horticulture, Environment, and Biotechnology.2023; 64(5): 811.     CrossRef
  • Comparative FISH analysis of Senna tora tandem repeats revealed insights into the chromosome dynamics in Senna
    Thanh Dat Ta, Nomar Espinosa Waminal, Thi Hong Nguyen, Remnyl Joyce Pellerin, Hyun Hee Kim
    Genes & Genomics.2021; 43(3): 237.     CrossRef
  • Comparative triple-color FISH mapping in eleven Senna species using rDNA and telomeric repeat probes
    Thi Hong Nguyen, Nomar Espinosa Waminal, Do Sin Lee, Remnyl Joyce Pellerin, Thanh Dat Ta, Nicole Bon Campomayor, Byung Yong Kang, Hyun Hee Kim
    Horticulture, Environment, and Biotechnology.2021; 62(6): 927.     CrossRef
  • FISH Karyotype Comparison ofPlatycodon grandiflorus(Jacq.) A. DC. ‘Jangbaek’ and Its Colchicine-Induced Tetraploid ‘Etteumbaek
    Eliazar Alumbro Peniton Jr., Yurry Um, Hyun Hee Kim
    Plant Breeding and Biotechnology.2020; 8(4): 389.     CrossRef
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Characterization of the Spikelet Number per Panicle QTL qSPP7 Using a Nearly Isogenic Line Derived from an Interspecific Cross in Rice
Ngoc Ha Luong, Yun-A Jeon, Kyu-Chan Shim, Sunha Kim, Hyun-Sook Lee, Cheryl Adeva, Van Anh Do Thi, Sang-Nag Ahn
Plant Breed. Biotech. 2019;7(3):245-256.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.245

Previously, we mapped the qSPP7 QTL affecting the number of spikelets per panicle (SPP) on rice chromosome 7 using near-isogenic line (NIL WH29001) derived from an interspecific cross between the japonica ‘Hwaseong’ and Oryza minuta. In the present study, we confirmed this QTL using progeny derived from a cross between IL102, a WH29001 sister line and Hwaseong. Genetic analysis determined that qSPP7 was located between a KASP marker KJ07–049 and RM21605. The O. minuta segment on chromosome 7 introgressed into the Hwaseong background was associated with an increase in SPP. The panicle structure of IL102 revealed that not only the number of SPP increased significantly, but also the number of branches per panicle increased as compared to Hwaseong suggesting that the donor allele of qSPP7 promotes branching in the genetic background of Hwaseong. Linkage analysis indicated that qEhd1 on chromosome 10 is involved in the difference in heading date of IL102 and Hwaseong. Experiments under 3 different day length conditions revealed that IL102 always showed earlier heading and higher SPP as compared to Hwaseong indicating that the effect of qSPP7 in the Hwaseong background was not dependent on photoperiod, and SPP increased in proportion to the number of days to heading.

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    Luis Herminio Chairez Tejeda, Raymond Joseph, Eduardo Venske, Viviane Kopp da Luz, Andrés Eloy Chacón-Ortiz, Ariano Martins de Magalhães Júnior, Luciano Carlos da Maia, Antonio Costa de Oliveira, Camila Pegoraro
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  • Molecular Breeding of Zheyou810, an Indica–Japonica Hybrid Rice Variety with Superior Quality and High Yield
    Jian Song, Yongtao Cui, Honghuan Fan, Liqun Tang, Jianjun Wang
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  • Genetic Structure and Geographical Differentiation of Traditional Rice (Oryza sativa L.) from Northern Vietnam
    Ngoc Ha Luong, Le-Hung Linh, Kyu-Chan Shim, Cheryl Adeva, Hyun-Sook Lee, Sang-Nag Ahn
    Plants.2021; 10(10): 2094.     CrossRef
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Estimating Pedigree-Based Breeding Values and Stability Parameters of Elite Rice Breeding Lines for Yield under Salt Stress during the Boro Season in Bangladesh
M. Ruhul Quddus, M. Akhlasur Rahman, Nusrat Jahan, Sanjoy K. Debsharma, Ribed F. Disha, M. Moniruzzaman Hasan, Tamal L. Aditya, KM Iftekharuddaula, Bertrand C.Y. Collard
Plant Breed. Biotech. 2019;7(3):257-271.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.257

In salinity affected areas, variation in salinity level is the major cause of yield fluctuations in rice during the dry season (boro season). To sustain food security in Bangladesh, plant breeders need to develop new rice varieties which are higher yielding, salinity tolerant and stable across different environments. We evaluated the yield performance and stability of 51 rice elite genotypes including two salinity tolerant rice varieties (BRRI dhan67 and BINA dhan-10) and the dominant boro rice variety (BRRI dhan28) in three locations, including a salinity “hotspot”. Best linear unbiased predictions (BLUPs) were used to identify superior genotypes from multi-environment trials. Selection from a large set of candidates is required for evaluation and recommending a new variety for release. Estimated breeding values (EBVs) were used to select parents. Six parents with high EBVs (BR8982-5, IR 87870-6-1-1-1-1-B; BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14) would be useful as parents to develop new breeding populations. To evaluate yield performance and stability across environments, we used additive main effects and multiplicative interaction (AMMI) model using a randomized complete block design with two replications. Genotype × environmental analysis was performed using GGE biplot analysis. Based on yield performance and stability, BR8982-5, IR 87870-6-1-1-1-1-B, BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14 were promising across the tested environments, as they showed yield advantages over check varieties. The results in this study will be useful for selecting the elite lines suitable for salinity affected areas and parents for rapid breeding of salinity tolerance.

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    A N Simamora, H Y Rahmadi, Y Yenni, Sujadi, H A Siregar, N Supena, M Arif, E Supriyanto, A R Purba
    IOP Conference Series: Earth and Environmental Science.2024; 1308(1): 012017.     CrossRef
  • Developing climate-resilient rice varieties (BRRI dhan97 and BRRI dhan99) suitable for salt-stress environments in Bangladesh
    Sanjoy K. Debsharma, M. Akhlasur Rahman, Mahmuda Khatun, Ribed F. Disha, Nusrat Jahan, Md. Ruhul Quddus, Hasina Khatun, Sharifa S. Dipti, Md. Ibrahim, K. M. Iftekharuddaula, Md. Shahjahan Kabir, Md Ashrafuzzaman
    PLOS ONE.2024; 19(1): e0294573.     CrossRef
  • Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses
    Destaw Mullualem, Alemu Tsega, Tesfaye Mengie, Desalew Fentie, Zelalem Kassa, Amare Fassil, Demekech Wondaferew, Temesgen Assefa Gelaw, Tessema Astatkie
    Heliyon.2024; 10(12): e32918.     CrossRef
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  • B × R cross de rived parental line development using breeding value: A new model for hybrid rice parental line development
    Md. Ruhul Quddus, Md. Jamil Hasan, Mst. Umma Kulsum, Satyen Mondal
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  • SNP Based Trait Characterization Detects Genetically Important and Stable Multiple Stress Tolerance Rice Genotypes in Salt-Stress Environments
    Sanjoy K. Debsharma, Mohammad Akhlasur Rahman, Mohammad Ruhul Quddus, Hasina Khatun, Ribed F. Disha, Popy R. Roy, Sharif Ahmed, Mohamed El-Sharnouby, Khandakar Md. Iftekharuddaula, Salman Aloufi, Fahad M. Alzuaibr, Mohammed Alqurashi, Mohamed I. Sakran, M
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    Sanjoy K. Debsharma, Md. Abu Syed, Md. Hannan Ali, Sheikh Maniruzzaman, Popy R. Roy, Marian Brestic, Ahmed Gaber, Akbar Hossain
    Genes.2022; 14(1): 10.     CrossRef
  • Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments
    Xing Huang, Su Jang, Backki Kim, Zhongze Piao, Edilberto Redona, Hee-Jong Koh
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    Scientific Reports.2020;[Epub]     CrossRef
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Breeding Hybrid Rice with Genes Resistant to Diseases and Insects Using Marker-Assisted Selection and Evaluation of Biological Assay
Me-Sun Kim, Sothea Ouk, Kuk-Hyun Jung, Yoohan Song, Le Van Trang, Ju-Young Yang, Yong-Gu Cho
Plant Breed. Biotech. 2019;7(3):272-286.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.272

Developing elite hybrid rice varieties is one important
objective
of rice breeding programs. Several genes related to male sterilities, restores, and pollinators have been identified through map-based gene cloning within natural variations of rice. These identified genes are good targets for introducing genetic traits in molecular breeding. This study was conducted to breed elite hybrid lines with major genes related to hybrid traits and disease/insect resistance in 240 genetic resources and F1 hybrid combinations of rice. Molecular markers were reset for three major hybrid genes (S5, Rf3, Rf4) and thirteen disease/insect resistant genes (rice bacterial blight resistance genes Xa3, Xa4, xa5, Xa7, xa13, Xa21; blast resistance genes Pita, Pib, Pi5, Pii; brown planthopper resistant genes Bph18(t) and tungro virus resistance gene tsv1). Genotypes were then analyzed using molecular marker-assisted selection (MAS). Biological assay was then performed at the Red River Delta region in Vietnam using eleven F1 hybrid combinations and two control vatieties. Results showed that nine F1 hybrid combinations were highly resistant to rice bacterial blight and blast. Finally, eight F1 hybrid rice varieties with resistance to disease/insect were selected from eleven F1 hybrid combinations. Their characteristics such as agricultural traits and yields were then investigated. These F1 hybrid rice varieties developed with major genes related to hybrid traits and disease/insect resistant genes could be useful for hybrid breeding programs to achieve high yield with biotic and abiotic resistance.

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    Hongrui Jiang, Qina Huang, Changdeng Yang, Yan Liang
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Identification of new genetic resources for broad-spectrum blast resistance genes in Iranian rice germplasm
    Mostafa Modarresi, Hadis Shahbazi, Alireza Tarang, Farzin Pouramir, Maryam Hosseini Chaleshtori, Fatemeh Habibi
    Euphytica.2025;[Epub]     CrossRef
  • ‘Drimi9ho’, A Lodging Tolerance with Mid-late Maturing, Improved White-backed Planthopper (Sogatella furcifera) and Cultivation Stability
    Jae-Ryoung Park, Eun-Gyeong Kim, Yoon-Hee Jang, Kyung-Min Kim
    Korean Journal of Breeding Science.2025; 57(4): 493.     CrossRef
  • Origins of Susceptibility to Insect Herbivores in High-Yielding Hybrid and Inbred Rice Genotypes
    Finbarr G. Horgan, Maria Liberty P. Almazan, Carmencita C. Bernal, Christine Jade Dilla-Ermita, Goli Ardestani, Enrique A. Mundaca, Eduardo Crisol-Martínez
    Insects.2024; 15(8): 608.     CrossRef
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    Finbarr G. Horgan, Carmencita C. Bernal, Angelee Fame Ramal, Maria Liberty P. Almazan, Enrique A. Mundaca, Eduardo Crisol-Martínez
    Insects.2024; 15(6): 416.     CrossRef
  • Genomic Architecture of Yield Performance of an Elite Rice Hybrid Revealed by its Derived Recombinant Inbred Line and Their Backcross Hybrid Populations
    Fan Zhang, Conghe Zhang, Xiuqin Zhao, Shuangbing Zhu, Kai Chen, Guixiang Zhou, Zhichao Wu, Min Li, Tianqing Zheng, Wensheng Wang, Zhi Yan, Qinyong Fei, Zhikang Li, Jinjie Chen, Jianlong Xu
    Rice.2022;[Epub]     CrossRef
  • Genomic Approaches to Identify Molecular Bases of Crop Resistance to Diseases and to Develop Future Breeding Strategies
    Antonia Mores, Grazia Maria Borrelli, Giovanni Laidò, Giuseppe Petruzzino, Nicola Pecchioni, Luca Giuseppe Maria Amoroso, Francesca Desiderio, Elisabetta Mazzucotelli, Anna Maria Mastrangelo, Daniela Marone
    International Journal of Molecular Sciences.2021; 22(11): 5423.     CrossRef
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    Wenqing Yang, Fan Zhang, Sundus Zafar, Junmin Wang, Huajin Lu, Shahzad Naveed, Jue Lou, Jianlong Xu
    Scientific Reports.2021;[Epub]     CrossRef
  • Hybrid Incompatibility of the Plant Immune System: An Opposite Force to Heterosis Equilibrating Hybrid Performances
    Vanesa Calvo-Baltanás, Jinge Wang, Eunyoung Chae
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • History and Results of Rice Breeding in Korea
    Young-Chan Cho, Man-Kee Baek, Hyun-Su Park, Jun-Hyun Cho, Eok-Keun Ahn, Jung-Pil Suh, Ji-Ung Jeung, Jong-Hee Lee, Yong-Jae Won, Yoo-Chun Song, Eung-Gi Jeong, Bo-Kyeong Kim, Jeom-Ho Lee
    Korean Journal of Breeding Science.2020; 52(S): 58.     CrossRef
  • Transcriptional Modulation of Resistance against Xanthomonas oryzae pv. oryzae Korean Race K2 in japonica Rice
    Marjohn C. Niño, Yong-Gu Cho
    Agronomy.2020; 10(7): 960.     CrossRef
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Biochemical Changes of CaMsrB2 Expressing Transgenic Rice Seed during Germination in Heavy Metal Stress Environment
Zamin Shaheed Siddiqui, Kang Hyun Lee, Youn-Shic Kim, Gang-Seob Lee, Jung-Il Cho, Soo-Chul Park
Plant Breed. Biotech. 2019;7(3):287-294.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.287

Biochemical changes of CaMsrB2 expressing transgenic rice seed during germination in heavy metal stress condition were studied. Transgenic lines, L-8 (single copy) and L-23 (two copy), along with WT were evaluated under metal stress conditions. All the plants were treated with different metals and their two selected concentration. Final germination rate, changes in amylase activity, total protein, reducing and total sugar was observed in all treated and control samples. Metal stress showed considerable impact on final germination rate in CaMsrB2 expressing transgenic rice seed. Application of lead salt showed 100% germination in L-23 compared to Zn and Cu. However, maximum germination rate was recorded in L-23 seed when it was treated with 4 mM PbCl2 and 0.5 mM CuCl2 compared to WT. Amylase activity and total reducing sugar was increased in transgenic rice seed treated with 2 mM and 4 mM PbCl2 as compared to WT. L-23 showed substantial increase in amylase activity and total reducing sugar compared to L-8 and WT. However, transgenic seeds treated with Zn and Cu showed substantial decreased in amylase activity and total reducing sugar with few exceptions. L-23 performed well regarding amylase activity and total reducing sugars in metal stress condition particularly in Pb as compared to Cu and Zn. CaMsrB2 expressing transgenic seed germination and their carbohydrate metabolism under metal stress condition were discussed. It was evident from the data that PbCl2 showed better germination rate due to enhance amylase activity and carbohydrate mobilization of CaMsrB2 expressing transgenic seed as compared to Cu and Zn.

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    Shouvik Mahanty, Praveen Tudu, Somdeep Ghosh, Shreosi Chatterjee, Papita Das, Subarna Bhattacharyya, Surajit Das, Krishnendu Acharya, Punarbasu Chaudhuri
    Marine Pollution Bulletin.2021; 173: 113017.     CrossRef
  • Functional Characterization ofPsGPDin Drought Stress Response Using RNA-Seq Analysis of Transgenic Rice Plant
    So Young Kim, Hyemin Lim, Min Kang, Kyong Mi Jun, Seung Uk Ji, Soo-Chul Park, Gang-Seob Lee
    Plant Breeding and Biotechnology.2020; 8(2): 131.     CrossRef
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