Poster (download)
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Alena Sokolkova1, Marina Burlyaeva2, Tatjana Valiannikova3, Margarita A. Vishnyakova4, Roland Schafleitner5, Cheng-Ruei Lee6, Chau-Ti Ting7, Sergey V. Nuzhdin8, Maria G. Samsonova9, Eric von Wettberg10
1Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, alyonasok@yandex.ru
2Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia, m.burlyaeva@vir.nw.ru
3Kuban Branch of Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), Krasnodar region, Russia, fitolaka61@yandex.ru
4Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia, m.vishnyakova@vir.nw.ru
5World Vegetable Center, Shanhua, Tainan 74199, Taiwan, roland.schafleitner@worldveg.org
6National Taiwan University, Taipei 106, Taiwan, chengrueilee@ntu.edu.tw
7National Taiwan University, Taipei 106, Taiwan, ctting@ntu.edu.tw
8University of Southern California, Program in Molecular and Computational Biology, Dornsife College of Letters Arts & Sciences, Los Angeles, CA 90089 USA, snuzhdin@usc.edu
9Peter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia, m.g.samsonova@gmail.com
10University of Vermont, Department of Plant and Soil Science, Burlington, VT 05405, USA, eric.bishop-von-wettberg@uvm.edu
The World Vegetable Gene Bank, in Taiwan, houses a unique genebank of mungbean. Here we analyze the genomes of 293 accessions that represent the major market classes. GWAS analysis conducted on phenotypic data obtained in Astrakhan experimental station of VIR in 2019 and multi-environmental GWAS analysis with phenotypic data obtained in different locations and time periods (Taiwan 1984, Taiwan 2018, India 2016, Kuban 2018, Astrakhan 2019) identified a large number of genome intervals and potential gene candidates that may affect important agronomic traits. To find out the effects of different climatic conditions on phenotypic traits, the data was subjected to AMMI and GGE biplot analyses. Phenotyping the mini-core collection of mungbean in different climatic locations can estimate phenology traits such as maturation. Uncovering SNPs for these traits will speed breeding efforts for production of mungbean suitable for cultivation in temperate regions.