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"Genetic variation"

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"Genetic variation"

Research Articles

Development of EMS Mutagenized Wheat Mutant Lines Resistant to Fusarium Crown Rot and Fusarium Head Blight
Kahsay Tadesse Mawcha, Dennis Ndolo, Wenxiang Yang, Olubukola Oluranti Babalola
Plant Breed. Biotech. 2024;12:98-121.   Published online September 13, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.98

Plant breeding relies on genetic variation to produce new and improved cultivars. One way to obtain novel traits is by inducing mutations. The present study aimed to create a Fusarium crown rot (FCR) and Fusarium head blight (FHB)-resistant mutagenized wheat population using ethyl methane sulphonate (EMS) and identify mutant resistance to FCR and FHB, which could provide a starting point for resistance breeding. The optimal mutagenesis conditions were determined based on the germination percentage. This study used six Chinese wheat cultivars, namely Jimai22, Hengguan35, Shixin828, Gaoyou2018, Keiwei20, and Keiwei18, to create a mutant population by treating them with EMS. For Shixin828, the optimal condition was 0.8% EMS with a 50-55% germination rate. For Hengguan35 and Jimai22, it was 0.6% EMS. For Gaoyou2018 and Kewei20, it was 0.8% and 0.4-0.6%, respectively. The FCR disease index of the mutant lines (M1) ranged from 10.00 to 77.67. For M2, the number of individual mutant plants demonstrating resistance to FCR varied from 76 to 102. In M3, 570 healthy plants were obtained using various EMS concentrations. The mutant line Kewei18 demonstrated the most resistance to FCR, FHB, and Deoxynivalenol (DON) infection. Kewei20 mutants had a higher FHB susceptibility than other mutants. Overall, mutants from the Kewei18 genetic background displayed better disease resistance to both diseases and DON contamination than natural plants. Mutants with or moderate resistance to FCR and FHB could be used in breeding and genetic studies to identify FHB and FCR-resistant Quantitative Trait Locus (QTL) in wheat.

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  • Mutation breeding: an underutilized strategy for improving finger millet productivity and nutritional quality
    Maltase Mutanda, Sandiswa Figlan, Nemera G. Shargie, Eastonce T. Gwata
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • GAMMA RAY-INDUCED MUTAGENESIS IN FORAGE CROPS: A BIBLIOMETRIC ANALYSIS
    B Putra, Harmini -, J Sirait, J Nulik, D.K. Hau, S Bahar, W Darwiati, D.J. Polakitan, Zubir -, S Agustini, R.F. Suneth, R.A. Saptati, K Simanihuruk
    The Journal of Animal and Plant Sciences.2025; (1): 1.     CrossRef
  • Enhancing drought tolerance in malting and forage barley through mutagenesis
    Dianey Celeste Cruz-Muñoz, Myriam Guadalupe Rodríguez-Gandarilla, Miguel Angel Avila-Perches, Rafael Urrea-López, Julio Armando Massange-Sánchez
    Journal of Crop Science and Biotechnology.2025; 28(4): 521.     CrossRef
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Assessment of Genetic Relationship among Rhynchostylis Species based on Inter-Simple Sequence Repeat (ISSR) Markers
Juthaporn Saengprajak, Jirapa Phetsom, Aphidech Sangdee, Porntip Atichart, Sununta Chuncher, Piyada Theerakulpisut, Arnusorn Saengprajak, Sudarat Thanonkaew
Plant Breed. Biotech. 2024;12:69-81.   Published online July 17, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.69

The genus Rhynchostylis contains important commercial orchids in Thailand with high diversity, but limited information is available regarding the genetic diversity of these orchids. Rhynchostylis has a short blooming period, which makes more difficult to distinguish between variations based only on their appearances. This study evaluated the genetic variation among six accessions of Rhynchostylis, along with one Vanda and one Aerides accession collected from different locations in the northeast of Thailand using 16 polymorphic inter-simple sequence repeat (ISSR) markers. The ISSR markers comprised 83 alleles with sizes ranging from 208 to 1,223 bp. The average number of alleles per locus was 5.19, with a standard deviation of 3.49. The average percentage of polymorphic bands was 95.21%. Polymorphism information content (PIC) values ranged between 0.05 and 0.44, with a mean average of 0.21. The calculated genetic similarity coefficients ranged from 0.383 to 0.914, suggesting a high level of genetic diversity among all the samples. UPGMA dendrograms were created using genetic similarity coefficients and divided into three main clusters. Cluster I contained four closely related R. gigantea orchids. Cluster II comprised two accessions, R. gigantea var. vivaphandhul and V. coelestis, while Cluster III contained two accessions of R. retusa and A. houlettiana. Based on ISSR data, the genetic similarities among the 8 orchid accessions do not correlate with flower color phenotypes and sampling locations, except for Cluster I. The results suggest that ISSR markers can effectively assess the genetic information of both wild and cultivated orchid resources. This study provides useful information for further development of novel markers specific to orchid varieties and for assisting the success of orchid breeding programs through the selection of parent plants.

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Citations to this article as recorded by  
  • Phylogenetic relationship based on DNA barcodes and comparative analysis of phytochemical contents among Rhynchostylis orchids in Thailand
    Juthaporn Saengprajak, Jirapa Phetsom, Aphidech Sangdee, Arnusorn Saengprajak, Thanwanit Thanyasiriwat, Wuttipong Mahakham
    Scientific Reports.2026;[Epub]     CrossRef
  • Development of ISSR-derived SCAR markers for precise identification and conservation of Rhynchostylis gigantea and its variety rubrum in Thailand
    Juthaporn Saengprajak, Thanwanit Thanyasiriwat, Arnusorn Saengprajak, Aphidech Sangdee
    South African Journal of Botany.2026; 189: 551.     CrossRef
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Inducing Potential Mutants in Bread Wheat Using Different Doses of Certain Physical and Chemical Mutagens
Ghada M.Sh.M. Abaza, Hassan A. Awaad, Zakaria M. Attia, Khalid S. Abdel-lateif, Mohamed A. Gomaa, Safy M.Sh.M. Abaza, Elsayed Mansour
Plant Breed. Biotech. 2020;8(3):252-264.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.252

Mutation is an effective strategy not only for creating novel variation into crop genome but also for direct releasing adapted and high-yielding genotypes. The current work explores inducing genetic variability in bread wheat using physical and chemical mutagens. Three wheat cultivars were treated by three mutagens; gamma irradiation (five doses; 250, 300, 350, 400 and 450 Gray); laser ray (three treatments; 1, 1.5, and 2 hour exposure) and EMS (three concentrations; 0.2, 0.3 and 0.4%). Besides, a combination of physical (laser) and chemical (EMS) mutagens using middle range of each treatment (1.5 hour laser and 0.3% EMS) was attempted to be applied. The treated seeds were sown in the first season and 4050 M1 plants were harvested. The harvested seeds were sown in the second season, and 78750 M2 plants were obtained. The selection was performed in second season (M2) based on morpho-physiological and yield traits; flag leaf area, flag leaf chlorophyll content, plant height, spike length, grain yield per plant and its components. Based on evaluated traits fourteen mutants were selected to be evaluated in the third generation (M3). The results indicated that the used mutagens had direct impact and significantly improved agronomic traits in derivative mutants compared to their parent cultivars. Moreover, the maximum increment in yield related traits were obtained by 0.4% EMS, 1 and 2 hour-laser, 350-Gy, 1.5 hour × 0.3% EMS and 250-Gy. The obtained results highlighted the importance of these doses of applied mutagens to induce useful genetic variability in bread wheat for improving grain yield and contributing traits.

Citations

Citations to this article as recorded by  
  • Genetic diversity and molecular profiling of leaf rust resistance genes in different wheat (Triticum aestivum L.) genotypes
    Areej S. Jalal, Mayasar I. Al-Zaban, Mohammed Alqurashi, Eman Fayad, Diana A.H. Al-Quwaie, Leena M. Sait, Salha M. Alshamrani, Nora M. Al Aboud, Uthman Balgith Algopishi, Fatmah Ahmed Safhi
    Physiological and Molecular Plant Pathology.2026; 142: 103055.     CrossRef
  • Characterization of Some Selected Nigeria Indigenous Tomato Varieties Using Morphology and Yield Parameters
    Priscilla Odaku NWOSU-EZEONYE, Happiness Oluomachi EBERECHUKWU, Gbenga Samson OGUNMEFUN, Eno-obong Ntiedo UMOH, Hajara Oyiza YUSUF, Matthew Omoniyi ADEBOLA
    Journal of Agricultural Science and Technology.2025; 2_3(1): 1.     CrossRef
  • Current breakthroughs and advances in atmospheric room temperature plasma (ARTP) technology for biomanufacturing
    Yu-Hsiu Li, Jiun-Jang Juo, I-Son Ng
    Bioresources and Bioprocessing.2025;[Epub]     CrossRef
  • Genetic potential and inheritance pattern of agronomic traits in faba bean under free and infested Orobanche soil conditions
    Alaa A. Soliman, Mohamed A. Ibrahim, Manar I. Mousa, Elsayed Mansour, Yuhua He, Haitian Yu
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Deciphering induced variability, character association and multivariate analysis utilizing gamma rays and ethyl methanesulfonate in bread wheat ( Triticum aestivum L.) genotypes with differential grain texture
    Amit Rana, Vijay Rana, Suman Bakshi, Vinod Kumar Sood, Priyanka, Anuradha
    International Journal of Radiation Biology.2024; 100(4): 627.     CrossRef
  • Mutagenic sensitivity, effectiveness and efficiency of gamma rays and ethyl methane sulfonate on soft and semi-hard bread wheat ( Triticum aestivum L.) varieties in the north-western Himalayan climate
    Amit Rana, Vijay Rana, Vinod Kumar Sood, Suman Bakshi, Priyanka
    International Journal of Radiation Biology.2024; 100(2): 296.     CrossRef
  • Performance and genotypic variability in diverse date palm (Phoenix dactylifera L.) cultivars for fruit characteristics
    Mesfer M. Alqahtani, Maysoun M. Saleh, Khairiah M. Alwutayd, Fatmah A. Safhi, Salah A. Okasha, Mohamed A. Abdelsatar, Mohamed S. M. Ali, Magdi I. Saif, Amira A. Ibrahim, Khaled F. M. Salem
    Genetic Resources and Crop Evolution.2024; 71(5): 1759.     CrossRef
  • Genotyping by sequencing; a strategy for identification and mapping of induced mutation in newly developed wheat mutant lines
    Sana Zulfiqar, Mehboob-ur- Rahman, Sayyad Ali Raza Bukhari, Bradley Till, Ruixue Gu, Dongcheng Liu, Susanne Dreisigacker
    Functional & Integrative Genomics.2024;[Epub]     CrossRef
  • Determination of Median Lethal (LD50) and Growth Reduction (GR50) Dose of Gamma Irradiation for Induced Mutation in Wheat
    Sunanda Chakraborty, Sunita Mahapatra, Anubhab Hooi, Md Nasim Ali, Ramesh Satdive
    Brazilian Archives of Biology and Technology.2023;[Epub]     CrossRef
  • Estimating genetic diversity among durum wheat (Triticum durum desf.) landraces using morphological and SRAP markers
    Naser B. Almarri, Salem S. Alghamdi, Mohamed H. ElShal, Muhammad Afzal
    Journal of the Saudi Society of Agricultural Sciences.2023; 22(5): 273.     CrossRef
  • Heritable variability in winter wheat at the interaction of genotype with factors of high genetic activity
    Vladislav Horshchar, Mykola Nazarenko
    Scientific Horizons.2023; 27(1): 80.     CrossRef
  • Exploring genotypic variability and interrelationships among growth, yield, and quality characteristics in diverse tomato genotypes
    Arova Zannat, Md Arif Hussain, Abu Habib Md Abdullah, Md Ismail Hossain, Md Saifullah, Fatmah A. Safhi, Khalid S. Alshallash, Elsayed Mansour, Abdelaleim I. ElSayed, Md Sazzad Hossain
    Heliyon.2023; 9(8): e18958.     CrossRef
  • Gamma-rays induced mutations increase soybean oil and protein contents
    Geehan Mohsen, Said S. Soliman, Elsayed I. Mahgoub, Tarik A. Ismail, Elsayed Mansour, Khairiah M. Alwutayd, Fatmah A. Safhi, Diaa Abd El-Moneim, Rahma Alshamrani, Osama O. Atallah, Wael F. Shehata, Abdallah A. Hassanin
    PeerJ.2023; 11: e16395.     CrossRef
  • Phenotypic and genetic characterization of an Avena sativa L. germplasm collection of diverse origin: implications for food-oat breeding in Chile
    Mónica Mathias-Ramwell, Valentina Pavez, Marco Meneses, Feledino Fernández, Adriana Valdés, Iris Lobos, Mariela Silva, Rodolfo Saldaña, Patricio Hinrichsen
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Development and characterization of gamma ray and EMS induced mutants for powdery mildew resistance in blackgram
    Murugesan Tamilzharasi, Dharmalingam Kumaresan, Venkatesan Thiruvengadam, Jegadeesan Souframanien, T. K. S. Latha, N. Manikanda Boopathi, Palaniappan Jayamani
    International Journal of Radiation Biology.2023; 99(8): 1267.     CrossRef
  • Cytogenetic activity of a mutagenic factor with high damaging capacity in winter wheat
    Vladislav Horshchar, Mykola Nazarenko
    Scientific Horizons.2023; 26(9): 131.     CrossRef
  • Assessment of DNA mutagenicity induced by He–Ne laser using Salmonella typhimurium strains
    Feng Lu, Siyu Ruan, Yunliang Li, Yining Wang, Pengfei Xie, Xiaoxue Zhao, Jiapin Chao, Haile Ma
    Applied Microbiology and Biotechnology.2023; 107(13): 4311.     CrossRef
  • Testing of Low-Intensity Laser Radiation in the Visible Spectrum Mutagenic Effect Hypothesis
    A. V. Budagovsky, N. V. Solovykh, O. N. Budagovskaya, M. B. Yankovskaya
    Russian Agricultural Sciences.2022; 48(3): 192.     CrossRef
  • Evaluation of Advanced Mutant Restorer Lines for Enhancing Outcrossing Rate and Hybrid Seed Production of Diverse Rice Cytoplasmic Male Sterile Lines
    Hassan Sh. Hamad, Mohamed I. Ghazy, Eman M. Bleih, Elsayed E. Gewaily, Mahmoud M. Gaballah, Mesfer M. Alqahtani, Fatmah A. Safhi, Salha M. ALshamrani, Elsayed Mansour
    Agronomy.2022; 12(11): 2875.     CrossRef
  • Molecular Genetic Diversity and Combining Ability for Some Physiological and Agronomic Traits in Rice under Well-Watered and Water-Deficit Conditions
    Raghda M. Sakran, Mohamed I. Ghazy, Medhat Rehan, Abdullah S. Alsohim, Elsayed Mansour
    Plants.2022; 11(5): 702.     CrossRef
  • Multivariate Analysis of Agronomic Traits in Newly Developed Maize Hybrids Grown under Different Agro-Environments
    Mohamed Omar, Hassan A. Rabie, Saber A. Mowafi, Hisham T. Othman, Diaa Abd El-Moneim, Khadiga Alharbi, Elsayed Mansour, Mohamed M. A. Ali
    Plants.2022; 11(9): 1187.     CrossRef
  • Applications of In Vitro Tissue Culture Technologies in Breeding and Genetic Improvement of Wheat
    Akila Wijerathna-Yapa, Vinita Ramtekey, Buddhini Ranawaka, Bhoja Raj Basnet
    Plants.2022; 11(17): 2273.     CrossRef
  • Winter wheat cytogenetic variability under the action of a chemical supermutagen
    V. Horshchar, M. Nazarenko
    Regulatory Mechanisms in Biosystems.2022; 13(4): 373.     CrossRef
  • Genetic Potential and Inheritance Patterns of Physiological, Agronomic and Quality Traits in Bread Wheat under Normal and Water Deficit Conditions
    Mohamed Kamara, Medhat Rehan, Amany Mohamed, Rania El Mantawy, Ahmed Kheir, Diaa Abd El-Moneim, Fatmah Safhi, Salha ALshamrani, Emad Hafez, Said Behiry, Mohamed Ali, Elsayed Mansour
    Plants.2022; 11(7): 952.     CrossRef
  • Combining Ability and Gene Action Controlling Grain Yield and Its Related Traits in Bread Wheat under Heat Stress and Normal Conditions
    Mohamed M. Kamara, Khaled M. Ibrahim, Elsayed Mansour, Ahmed M. S. Kheir, Mousa O. Germoush, Diaa Abd El-Moneim, Mohamed I. Motawei, Ahmed Y. Alhusays, Mona Ali Farid, Medhat Rehan
    Agronomy.2021; 11(8): 1450.     CrossRef
  • Molecular Genetic Diversity and Line × Tester Analysis for Resistance to Late Wilt Disease and Grain Yield in Maize
    Mohamed M. Kamara, Nasr A. Ghazy, Elsayed Mansour, Mohsen M. Elsharkawy, Ahmed M. S. Kheir, Khaled M. Ibrahim
    Agronomy.2021; 11(5): 898.     CrossRef
  • Assessing the Response of Diverse Sesame Genotypes to Waterlogging Durations at Different Plant Growth Stages
    Mohammad Habibullah, Shahnaz Sarkar, Mohammad Mahbub Islam, Kamal Uddin Ahmed, Md. Zillur Rahman, Mohamed F. Awad, Abdelaleim I. ElSayed, Elsayed Mansour, Md. Sazzad Hossain
    Plants.2021; 10(11): 2294.     CrossRef
  • Characterization of wheat landraces and commercial cultivars based on morpho-phenological and agronomic traits
    M. A. A. H. Gharib, N. Qabil, A. H. Salem, M. M. A. Ali, H. A. Awaad, E. Mansour
    Cereal Research Communications.2021; 49(1): 149.     CrossRef
  • Sowing Date and Genotype Influence on Yield and Quality of Dual-Purpose Barley in a Salt-Affected Arid Region
    Ehab S. A. Moustafa, El-Sayed E. A. El-Sobky, Hossam I. A. Farag, Mohamed A. T. Yasin, Ahmed Attia, Mohamed O. A. Rady, Mohamed F. Awad, Elsayed Mansour
    Agronomy.2021; 11(4): 717.     CrossRef
  • Field Screening of Wheat Advanced Lines for Salinity Tolerance
    Ehab S. A. Moustafa, Mohamed M. A. Ali, Mohamed M. Kamara, Mohamed F. Awad, Abdallah A. Hassanin, Elsayed Mansour
    Agronomy.2021; 11(2): 281.     CrossRef
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Review Article

Advanced Breeding Technologies for Accelerating Genetic Gain
Ju-Kyung Yu
Plant Breed. Biotech. 2020;8(3):203-210.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.203

The integration of advanced technologies into breeding programs in the 21st century can result in a powerful step change in crop productivity when aligned with components of genetic gain. Genetic gain depends upon four factors: accuracy, selection intensity, genetic variation, and time. It is a useful starting point, as it articulates the parameters breeders operate as part of the crop improvement process. This review article has compiled advanced breeding technologies such as phenomics, genotyping and se-quencing platforms, genome editing, and double haploid, which can be applied to each component of the genetic gain equation. In addition, it has explained the strategies, opportunities, and limitations in order to support breeders in making wise decisions in regard to the technologies and therefore increase efficiency with the breeding programs.

Citations

Citations to this article as recorded by  
  • Haploid facultative parthenogenesis in sunflower sexual reproduction
    Jian Lv, Dawei Liang, Eric Bumann, Virginie Mirleau Thebaud, Huaibing Jin, Changbao Li, Clemence Paris, Yinghui Dan, Chao Li, Ruijie Cui, Xianxia Chen, David Szwerdszarf, Peter Wittich, Bobby Clegg, Agustin Tassara, Hongmei Dan, Xiaolong Tian, Zhiqiang Li
    Nature.2025; 641(8063): 732.     CrossRef
  • Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops
    Miguel Angel Villalobos-López, Analilia Arroyo-Becerra, Anareli Quintero-Jiménez, Gabriel Iturriaga
    International Journal of Molecular Sciences.2022; 23(19): 12053.     CrossRef
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Research Article
Collection and Evaluation of Genetic Variation of Perilla Accessions in the Jeju Island
Su Yeon Woo, Kyu Jin Sa, Ju Kyong Lee
Plant Breed. Biotech. 2016;4(1):87-98.   Published online February 28, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.1.87

In order to understand the genetic variation of the cultivated and weedy types of Perilla crop in Jeju Island of Korea, this study has conducted a field expedition for collecting Perilla germplasm in 2011 and 2012, respectively. Cultivated Perilla crop was almost not cultivated throughout the island, whereas weedy types of both varieties (var.) of frutescens and crispa were often found in roadsides, around a creek, in wastelands, and in areas around a farmer’s fields. The total number of collection was 94 accessions. The seed colors of cultivated var. frutescens were white and brown, while the weedy var. frutescens were gray, brown, and dark brown. The weedy var. crispa exhibited gray and dark brown seed colors. The most accessions of cultivated var. frutescens and weedy types of var. frutescens and var. crispa revealed hard seeds, except one accession of cultivated var. frutescens which had soft seeds. A total of 17 simple sequence repeat loci showed polymorphism, producing a total of 149 alleles among the 85 Perilla accessions collected from Jeju Island. The average gene diversity for accessions of cultivated var. frutescens, weedy var. frutescens, and weedy var. crispa respectively showed 0.346, 0.649, and 0.463. The accessions of weedy types of var. frutescens and var. crispa comparatively exhibited higher genetic diversity than those of cultivated var. frutescens. The accessions collected would be useful for preserving the genetic diversity of this crop for further breeding programs of the Perilla crop in Korea.

Citations

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  • FISH Karyotype Comparison between Wild and CultivatedPerillaSpecies Using 5S and 45S rDNA Probes
    Eliazar Alumbro Peniton, Nomar Espinosa Waminal, Tae-Ho Kim, Hyun Hee Kim
    Plant Breeding and Biotechnology.2019; 7(3): 237.     CrossRef
  • Identification of quantitative trait loci associated with flowering time in perilla using genotyping-by-sequencing
    Yun-Joo Kang, Bo-Mi Lee, Moon Nam, Ki-Won Oh, Myoung-Hee Lee, Tae-Ho Kim, Sung-Hwan Jo, Jeong-Hee Lee
    Molecular Biology Reports.2019; 46(4): 4397.     CrossRef
  • Detection of QTLs in an Interspecific Cross between Perilla citriodora × P. hirtella Mapping Population
    Myoung Hee Lee, Ki Won Oh, Myung Sik Kim, Sung Up Kim, Jung In Kim, Eun Young Oh, Suk Bok Pae, Un Sang Yeo, Tae-Ho Kim, Jeong Hee Lee, Chan Sik Jung, Do Yeon Kwak, Yong Chul Kim
    Korean Journal of Breeding Science.2018; 50(1): 13.     CrossRef
  • Characterization of Perilla frutescens (Linn.) Britt based on morphological, biochemical and STMS markers
    S.K. Singh, P.C. Kole, A.K. Misra, Somnath Roy, Lalit Arya, Manjusha Verma, R. Bhardwaj, P. Suneja, Med Ram Verma, K.V. Bhat, Rakesh Singh
    Industrial Crops and Products.2017; 109: 773.     CrossRef
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