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"Myoung-Jae Shin"

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"Myoung-Jae Shin"

Research Articles
Differences in Cotyledon Color and Harvest Period Affect the Contents of Major Isoflavones and Anthocyanins in Black Soybeans
Yu-Mi Choi, Hyemyeong Yoon, Myoung-Jae Shin, Yoonjung Lee, Sukyeung Lee, On Sook Hur, Na Young Ro, Ho-Cheol Ko, Jeongyoon Yi, Sang Hoon Lee, Heon-Woong Kim, Yu Jin Hwang, Myung-Chul Lee, Kebede Taye Desta
Plant Breed. Biotech. 2021;9(1):65-76.   Published online March 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.1.65

Several environmental and genetic factors affect the isoflavone and anthocyanin contents in soybeans. This study aimed to assess the influences of cotyledon color and harvest period on the contents of five major isoflavones and three major anthocyanins in 323 black soybean landraces grown in Korea. In all the soybeans, malonylgenistin, malonyldaidzin and cyanidin-3-O-glucoside were the foremost components. The total isoflavone (TIC) and total anthocyanin (TAC) contents were in the ranges of 491.29-1998.39 µg/g and 452.60-2789.37 mg/100 g on dry weight basis, respectively. Both the average TIC and TAC were higher in green cotyledon soybeans (1493.93 µg/g and 1656.05 mg/100 g, respectively) than in yellow cotyledon soybeans (1423.09 µg/g and 1489.30 mg/100 g, respectively). With respect to the harvest period, the average TIC was in the order of Late-October (1517.31 µg/g) > Mid-October (1454.54 µg/g) > Early-October (1340.95 mg/g). Moreover, the average TAC decreased in the order of Late-October (1765.76 mg/100 g) > Mid-October (1503.93 mg/100 g) > Early-October (1350.91 mg/100 g). In general, cotyledon color appeared to cause a significant variation on TAC (P < 0.05) but not on TIC, whereas the harvest period appeared to cause significant variations on both the TAC and TIC. Among the 323 landraces, 20 were identified to contain high TIC (> 1800 mg/g) and TAC (> 2000 mg/100 g) in their seeds and hence, could be considered as important sources of dietary isoflavones and anthocyanins. Besides, they possibly provide a wide spectrum of options if considered during the development of improved soybean genotypes.

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  • RDA-Genebank and Digital Phenotyping for Next-Generation Research on Plant Genetic Resources
    Seong-Hoon Kim, Parthiban Subramanian, Young-Wang Na, Bum-Soo Hahn, Yoonha Kim
    Plants.2023; 12(15): 2825.     CrossRef
  • Improvement of Selection Efficiency of Haploid Maize Seeds Using Fluorescence Imaging
    Younguk Kim, Jeong Heon Han, Jaeyoung Kim, Yeongtae Kim, Nyunhee Kim, Chaewon Lee, Seoyeoun Lee, Song Lim Kim, Moon Jong Kim, Si Hwan Ryu, Hongro Lee, Hyeonso Ji, Kyung-Hwan Kim, Jeongho Baek
    Korean Journal of Breeding Science.2022; 54(4): 276.     CrossRef
  • Origin and seed coat color differently affect the concentrations of metabolites and antioxidant activities in soybean (Glycine max (L.) Merrill) seeds
    Kebede Taye Desta, On Sook Hur, Sukyeung Lee, Hyemyeong Yoon, Myoung-Jae Shin, Jungyoon Yi, Yoonjung Lee, Na Young Ro, Xiaohan Wang, Yu-Mi Choi
    Food Chemistry.2022; 381: 132249.     CrossRef
  • A Correlation Study on In Vitro Physiological Activities of Soybean Cultivars, 19 Individual Isoflavone Derivatives, and Genetic Characteristics
    Han-Na Chu, Su-Ji Lee, Xiaohan Wang, Sang-Hoon Lee, Hye-Myeong Yoon, Yu-Jin Hwang, Eun-Suk Jung, Yongseok Kwon, Chi-Do Wee, Kyeong-A Jang, Haeng-Ran Kim
    Antioxidants.2021; 10(12): 2027.     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
  • Multilocus marker-based delimitation of Salicornia persica and its population discrimination assisted by supervised machine learning approach
    Rahul Jamdade, Khawla Al-Shaer, Mariam Al-Sallani, Eman Al-Harthi, Tamer Mahmoud, Sanjay Gairola, Hatem A. Shabana, Branislav T. Šiler
    PLOS ONE.2022; 17(7): e0270463.     CrossRef
  • In vitro propagation for conservation and genetic fidelity of the near threatened Dimocarpus longan plant
    Manal El-salato Ala El-naby Ahmed
    Journal of Genetic Engineering and Biotechnology.2022; 20(1): 130.     CrossRef
  • Association analysis and evaluation of genetic diversity in wheat genotypes using SSR markers
    S. Farhangian-kashani, A. Azadi, Sh. Khaghani, M. Changizi, M. Gomarian
    Biologia Futura.2021; 72(4): 441.     CrossRef
  • Genotyping-by-Sequencing Derived Single Nucleotide Polymorphisms Provide the First Well-Resolved Phylogeny for the Genus Triticum (Poaceae)
    Do Yoon Hyun, Raveendar Sebastin, Kyung Jun Lee, Gi-An Lee, Myoung-Jae Shin, Seong Hoon Kim, Jung-Ro Lee, Gyu-Taek Cho
    Frontiers in Plant Science.2020;[Epub]     CrossRef
  • In vitro propagation and DNA barcode analysis of the endangered Silene schimperiana in Saint Katherine protectorate
    Heba El-Sayed Ghareb, Shafik Darwish Ibrahim, Ghada Abd El-Moneim Hegazi
    Journal of Genetic Engineering and Biotechnology.2020; 18(1): 41.     CrossRef
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Complete Chloroplast Genome Sequencing and Genetic Relationship Analysis of Capsicum chinense Jacq
Sebastin Raveendar, Kyung Jun Lee, Myoung-Jae Shin, Gyu-Taek Cho, Jung-Ro Lee, Kyung-Ho Ma, Gi-An Lee, Jong-Wook Chung
Plant Breed. Biotech. 2017;5(4):261-268.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.261

Capsicum chinense is one of the five domesticated pepper species belonging to the Solanaceae family. Capsicum sp. have been used as model systems in comparative and evolutionary genomics because their superior availability of chloroplast genome in the solanaceae family. Similarly, molecular markers derived from the complete chloroplast genome can provide effective tools for species identification and phylogenetic resolution. So far however, only partial taxonomic and phylogenetic analyses have been carried out for the genus. Thus, the complete chloroplast genome sequence of a cultivated pepper (C. chinense) has been reported here. The total length of the chloroplast genome is 156,936 bp, with 37.7% overall GC content. A pair of inverted repeats (IRs) of 25,847 bp was separated by a small single copy (SSC) region of 17,912 bp and a large single copy (LSC) region of 87,330 bp. The chloroplast genome harbors 113 known genes, including 79 protein-coding genes, four ribosomal RNA genes, and 30 transfer RNA (tRNA) genes. In all, 21 of these genes are duplicated in the inverted repeat regions, 15 genes and six tRNA genes contain a single intron, while two genes have two introns. Analysis revealed 117 simple sequence repeat (SSR) loci, which are mostly located in the intergenic regions. The complete chloroplast genome reported here enriches our knowledge of the genetic complement of C. chinense, and contributes to our understanding of the genetic relationships within the genus Capsicum.

Citations

Citations to this article as recorded by  
  • Characterization of the complete chloroplast genome of the rare medicinal plant: Mandragora caulescens (Solanaceae)
    Heqin Ma, Erdong Zhang, Yajing An, Yuqing Wei, Lei Zhang
    Mitochondrial DNA Part B.2024; 9(6): 812.     CrossRef
  • Chloroplast genome characteristic, comparative and phylogenetic analyses in Capsicum (Solanaceae)
    Shuilian He, Yinqi Siman, Gengyun Li, Junheng Lv, Kai Zhao, Minghua Deng
    BMC Genomics.2024;[Epub]     CrossRef
  • Monograph of wild and cultivated chili peppers (Capsicum L., Solanaceae)
    Gloria E. Barboza, Carolina Carrizo García, Luciano de Bem Bianchetti, María V. Romero, Marisel Scaldaferro
    PhytoKeys.2022; 200: 1.     CrossRef
  • Pan-plastome approach empowers the assessment of genetic variation in cultivated Capsicum species
    Mahmoud Magdy, Lijun Ou, Huiyang Yu, Rong Chen, Yuhong Zhou, Heba Hassan, Bihong Feng, Nathan Taitano, Esther van der Knaap, Xuexiao Zou, Feng Li, Bo Ouyang
    Horticulture Research.2019;[Epub]     CrossRef
  • Development of the ovule and seed of Habanero chili pepper (Capsicum chinense Jacq.): Anatomical characterization and immunocytochemical patterns of pectin methyl-esterification
    Jacobo Pérez-Pastrana, Ignacio Islas-Flores, Ivett Bárány, Dulce Álvarez-López, Adriana Canto-Flick, Blondy Canto-Canché, Laura Peña-Yam, Liliana Muñoz-Ramírez, Susana Avilés-Viñas, Pilar S. Testillano, Nancy Santana-Buzzy
    Journal of Plant Physiology.2018; 230: 1.     CrossRef
  • The Complete Plastome Sequences of Eleven Capsicum Genotypes: Insights into DNA Variation and Molecular Evolution
    Nunzio D’Agostino, Rachele Tamburino, Concita Cantarella, Valentina De Carluccio, Lorenza Sannino, Salvatore Cozzolino, Teodoro Cardi, Nunzia Scotti
    Genes.2018; 9(10): 503.     CrossRef
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Genetic Diversity and Population Structure of Mongolian Wheat Based on SSR Markers: Implications for Conservation and Management
Narantsetseg Ya, Sebastin Raveendar, N Bayarsukh, Myagmarsuren Ya, Jung-Ro Lee, Kyung-Jun Lee, Myoung-Jae Shin, Gyu-Taek Cho, Kyung-Ho Ma, Gi-An Lee
Plant Breed. Biotech. 2017;5(3):213-220.   Published online September 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.3.213

Production of spring wheat, the major crop in Mongolia, accounts for 98% of the cultivated area. Understanding genetic variability in existing gene bank accessions is critical for collection, conservation and use of wheat germplasms. To determine genetic diversity and population structure among a representative collection of Mongolian local wheat cultivars and lines, 200 wheat accessions were analyzed with 15 SSR markers distributed throughout the wheat genome. A total of 85 alleles were detected, with three to five alleles per locus and a mean genetic richness of 5.66. Average genetic diversity index was 0.69, with values ranging from 0.37–0.80. The 200 Mongolian wheat accessions were mainly divided into two subgroups based on structure and phylogenetic analyses, and some phenotypes were divergent by the subgroups. Results from this study will provide valuable information for conservation and sustainable use of Mongolian wheat genetic resources.

Citations

Citations to this article as recorded by  
  • The Genetic Diversity of Tunisian Sea Barley (Hordeum marinum ssp. marinum): Insights from Cross-species SSRs
    Warda Saoudi, Wael Taamalli, Mounawer Badri, António Martin, Chedly Abdelly
    Plant Molecular Biology Reporter.2026;[Epub]     CrossRef
  • Harnessing genetic potentials for drought tolerance in wheat (Triticum aestivum L.) using tolerance indices and molecular markers
    Mst. Anamika Amzad, Md. Arifuzzaman, Md. Ashraful Alam
    Gene Reports.2025; 40: 102230.     CrossRef
  • Morphological characterization and molecular diversity assessment of rust resistant genetic stocks of wheat
    Sneha Adhikari, S. C. Bhardwaj, O. P. Gangwar, Pramod Prasad, Charu Lata, Subodh Kumar, Gulab Chand
    Tropical Plant Pathology.2024; 49(4): 525.     CrossRef
  • Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies
    Bruno Galvêas Laviola, Adriano dos Santos, Erina Vitório Rodrigues, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Tatiana Barbosa Rosado, Cíntia Gonçalves Guimarães, Léo Duc Haa Carson Schwartzhaupt da Conceição
    Genetic Resources and Crop Evolution.2022; 69(3): 1179.     CrossRef
  • Genetic diversity, population structure and relationship of Ethiopian barley (Hordeum vulgare L.) landraces as revealed by SSR markers
    Allo A. Dido, M. S. R. Krishna, Ermias Assefa, Dawit T. Degefu, B. J. K. Singh, Kassahun Tesfaye
    Journal of Genetics.2022;[Epub]     CrossRef
  • Genetic diversity and population structure in Jatropha (Jatropha curcas L.) based on molecular markers
    Adriana de Souza Carneiro, Adriano dos Santos, Bruno Galvêas Laviola, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Erina Vitório Rodrigues
    Genetic Resources and Crop Evolution.2022; 69(1): 245.     CrossRef
  • Association analysis for agronomic traits in wheat under terminal heat stress
    Adeel Khan, Munir Ahmad, Mukhtar Ahmed, Kulvinder Singh Gill, Zahid Akram
    Saudi Journal of Biological Sciences.2021; 28(12): 7404.     CrossRef
  • Genetic Diversity and Genome-Wide Association Study of Seed Aspect Ratio Using a High-Density SNP Array in Peanut (Arachis hypogaea L.)
    Kunyan Zou, Ki-Seung Kim, Kipoong Kim, Dongwoo Kang, Yu-Hyeon Park, Hokeun Sun, Bo-Keun Ha, Jungmin Ha, Tae-Hwan Jun
    Genes.2020; 12(1): 2.     CrossRef
  • Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm
    Kamal Khadka, Davoud Torkamaneh, Mina Kaviani, Francois Belzile, Manish N. Raizada, Alireza Navabi
    BMC Plant Biology.2020;[Epub]     CrossRef
  • Development of genomic simple sequence repeat markers for Glycyrrhiza lepidota and cross-amplification of other Glycyrrhiza species
    Jun Hyoung Bang, Chi Eun Hong, Sebastin Raveendar, Kyong Hwan Bang, Kyung Ho Ma, Soon Wook Kwon, Hojin Ryu, Ick Hyun Jo, Jong-Wook Chung
    PeerJ.2019; 7: e7479.     CrossRef
  • Genome-Wide Genetic Diversity and Population Structure of Tunisian Durum Wheat Landraces Based on DArTseq Technology
    Cyrine Robbana, Zakaria Kehel, M’barek Ben Naceur, Carolina Sansaloni, Filippo Bassi, Ahmed Amri
    International Journal of Molecular Sciences.2019; 20(6): 1352.     CrossRef
  • Melatonin Mitigates Salt Stress in Wheat Seedlings by Modulating Polyamine Metabolism
    Qingbo Ke, Jun Ye, Bomei Wang, Jianhong Ren, Lina Yin, Xiping Deng, Shiwen Wang
    Frontiers in Plant Science.2018;[Epub]     CrossRef
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Development of SSR Markers and Their Use in Studying Genetic Diversity and Population of Finger Millet (Eleusine coracana L. Gaertn.)
Kyung Jun Lee, Mun-Sup Yoon, Myoung-Jae Shin, Jung-Ro Lee, Yang-Hee Cho, Ho-Sun Lee, Kyung-Ho Ma, Gi-An Lee
Plant Breed. Biotech. 2017;5(3):183-191.   Published online September 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.3.183

Finger millet (Eleusine coracana L. Gaertn.) is an important cereal crop in eastern Africa and southern India with excellent grain storage capacity and the unique ability to thrive in extreme environmental conditions. In this study, we analyzed the genetic diversity and population structure of finger millet using 12 developed microsatellites. By sequencing 815 clones from an SSR-enriched genomic DNA library, we obtained 12 polymorphic SSR markers, which also revealed successful amplicons in finger millet accessions. Using the developed SSR markers, we estimated genetic diversity and population structure among 76 finger millet accessions in Asia, Africa, and unknown origins. The number of alleles ranged from 2 to 9, with an average of 3.3 alleles. The mean values of observed heterozygosity and expected heterozygosity were 0.27 and 0.35, respectively. The average polymorphism information content was 0.301 in all 76 finger millet accessions. AMOVA analysis showed that the percentage of molecular variance among the populations was 1%, that among individuals was 5%, and that within individuals was 94%. In STRUCTURE analysis, the 76 finger millet accessions were divided into two subpopulations which had an admixture of alleles. There was a correspondence among PCoA, AMOVA, and population structure. This study may form the basis for a finger millet breeding and improvement program.

Citations

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  • Integrating path analysis and molecular markers to understand genetic diversity in finger millet, Eleusine coracana (L.) Gaertn.
    Mihir A. Hansalia, Vikas Pali, Amar A. Sakure, Sushil Kumar, Dinesh J. Parmar, Mihir M. Pandya, Dinesh Joshi
    The Nucleus.2026;[Epub]     CrossRef
  • Development of iron and zinc transporter based genic SSR markers in foxtail millet and their cross- genera transferability in little millet
    Kumari Anjani, Kaushal Kumar, V. K. Sharma
    Cereal Research Communications.2026; 54(2): 875.     CrossRef
  • Unlocking Climate Resilience Through Omics in Underutilized Small Millets
    S Muruganantham, Kannabiran Sakthivel, Chockalingam Vanniarajan, Paramasiwam Jeyaprakash, Subramaniam Geethanjali, Mathivanan Sivaji, Thanakkan Ramesh, Sadayandi Geethanjali, Selvavinayagam Monika, Lakshmanan Vigneshwari
    Tropical Plant Biology.2025;[Epub]     CrossRef
  • Finger millet (Eleusine coracana) improvement: Challenges and prospects—A review
    Adane Gebreyohannes, Hussein Shimelis, Jacob Mashilo, Damaris A. Odeny, Taye Tadesse, Chris O. Ojiewo
    Plant Breeding.2024; 143(3): 350.     CrossRef
  • Cross transferability of finger millet SSR markers to little millet (Panicum sumatrense Roth. Ex Roem & Schult.)
    Komal G. Lakhani, Kirankumar Suthar, Diwakar Singh, Sumankumar Jha, Harshal Patil, Rehana Niyaria
    Ecological Genetics and Genomics.2024; 32: 100281.     CrossRef
  • Profiling of foxtail millet (Setaria italica L.) germplasm using in vitro drought screening and SSR markers
    N. S. Ahmad, M. A. Abid, A. A. Al-Assie
    Plant Genetic Resources: Characterization and Utilization.2022; 20(4): 277.     CrossRef
  • Genome-Wide Assessment of Population Structure and Genetic Diversity of the Global Finger Millet Germplasm Panel Conserved at the ICRISAT Genebank
    C. Backiyalakshmi, Mani Vetriventhan, Santosh Deshpande, C. Babu, V. Allan, D. Naresh, Rajeev Gupta, Vania C. R. Azevedo
    Frontiers in Plant Science.2021;[Epub]     CrossRef
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Genetic Diversity and Population Structure of Rubus Accessions Using Simple Sequence Repeat Markers
Kyung Jun Lee, Gi-An Lee, Hee-Kyoung Kang, Jung-Ro Lee, Sebastin Raveendar, Myoung-Jae Shin, Yang-Hee Cho, Kyung-Ho Ma
Plant Breed. Biotech. 2016;4(3):345-351.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.345

Sixty-nine Rubus accessions were analyzed to determine the genetic relationships using simple sequence repeat (SSR) markers. Twenty-three SSR markers generated a total of 351 alleles from all accessions, with an average of 15.3 alleles per locus. The average value of polymorphism information content was 0.76, ranging from 0.52 to 0.91. As a result of population structure analysis, 69 Rubus accessions of six Rubus species were subdivided into six subpopulations. Four subpopulations included distinct Rubus species accessions; pop2 (Rubus crataegifolius var. subcuneatus, 2 accessions), pop3 (R. crataegifolius Bunge., 18 accessions), pop4 (R. fruticosus L., 3 accessions) and pop6 (R. coreanus Miq., 36 accessions) while The pop1 and pop5 mainly included R. idaeus L. and R. parvifolius L., respectively. In cluster analysis, 69 Rubus accessions were divided into three groups. Group I contained 35 Rubus accessions, which consisted of six Rubus species. Groups II and III had 30 and 4 Rubus accessions, respectively. They consisted of only R. coreanus. The uncertain diversity of species and artificial groups of the Rubus genus has created confusion with respect to the correct classification of the species at both commercial and scientific levels. The results of the present study will provide basic information for phylogeny, taxonomy and breeding programs of Rubus species.

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    Fatma Alan, Aydın Uzun, Hasan Pınar
    Genetic Resources and Crop Evolution.2025; 72(7): 9001.     CrossRef
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    Samriti Sharma, Rajinder Kaur, Krishan Kumar, Heerendra Sagar
    Genetic Resources and Crop Evolution.2024; 71(4): 1615.     CrossRef
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    Horticulture, Environment, and Biotechnology.2024; 65(2): 293.     CrossRef
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    Journal of Plant Biochemistry and Biotechnology.2021; 30(1): 37.     CrossRef
  • Evaluación de marcadores microsatélites (SSRs) heterólogos en Rubus niveus para estudios de diversidad genética en las Islas Galápagos
    Pablo Alarcón Bolaños, María de Lourdes Torres, Gabriela Pozo, María Paula Erazo, Mayra Ortega, Estefanía Rojas, Noelia Barriga, Antonio Leon Reyes
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    Horticulture Research.2019;[Epub]     CrossRef
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Genetic Diversity and Population Structure of Asian Tomato Accessions Based on Simple-Sequence Repeats
Sebastin Raveendar, Jong-Wook Chung, Gi-An Lee, Jung-Ro Lee, Kyung-Jun Lee, Myoung-Jae Shin, Yang-Hee Cho, Kyung-Ho Ma
Plant Breed. Biotech. 2016;4(3):306-314.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.306

Tomato (Solanum lycopersicum L.) is one of the most economically important plants in the family Solanaceae. Understanding its genetic diversity of accessions is vital for additional collection of tomato germplasms. The
objective
of this study was to determine the genetic diversity and population structure of 355 tomato accessions from Asia using 18 simple-sequence repeats (SSRs). A total of 176 alleles were detected at an average of ten alleles per SSR locus. The average major allele frequency and polymorphic information content were 0.69 and 0.39, respectively. Model-based structure analysis revealed two subpopulations (88%), including admixtures (11%) in the 355 Asian tomato accessions, consistent with clustering results based on genetic distance. The overall FST value was 0.135, indicating a moderate differentiation between the inferred subpopulations. Analysis of molecular variance showed that the genetic variance among geographical groups was less than 6%, in contrast to 86% of genetic variance among individuals. The results from this study will provide important information for future germplasm conservation and improvement programs for tomato.

Citations

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  • Next generation sequencing technologies to explore the diversity of germplasm resources: Achievements and trends in tomato
    Pasquale Tripodi
    Computational and Structural Biotechnology Journal.2022; 20: 6250.     CrossRef
  • Genetic diversity, population structure and validation of SSR markers linked to Sw-5 and I-2 genes in tomato germplasm
    Saidaiah Pidigam, Vishnukiran Thuraga, Suchandranath Babu Munnam, Geetha Amarapalli, Gopal Kuraba, Someswara Rao Pandravada, Srinivas Nimmarajula, Hari Kishan Sudini
    Physiology and Molecular Biology of Plants.2021; 27(8): 1695.     CrossRef
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