Ecological geneticsEcological geneticsЭкологическая генетика1811-09322411-9202Eco-Vector242110.17816/ecogen1233-11ArticlesСтатьиResearch ArticlePrediction of F1 progeny variation in tomato (Solanum Lycopersicum L.) from parental divergence assessed by SSR markersПерспективы предсказания генетического потенциала F1 томата (Solanum Lycopersicum l.) на основе оценки SSR полиморфизмаShapturenkoMarina NikolayevnaШаптуренкоМарина Николаевна

Leading Researcher, PhD. Laboratory of Ecological Genetics and Biotechnology

к. б. н., ведущ. науч. сотр., доцент. Лаборатория экологической генетики и биотехнологии

Shapturenko@igc.bas-net.byTarutinaLyudmila AleksandrovnaТарутинаЛюдмила Александровна

Leading Researcher, PhD. Laboratory of Ecological Genetics and Biotechnology

к. б. н., ведущ. науч. сотр., доцент. Лаборатория экологической генетики и биотехнологии

L.Tarutina@igc.bas-net.byMishinLeonid AleksandrovichМишинЛеонид Александрович

ead of the Laboratory solanaceous crops, PhD

к. б. н., заведующий лабораторией. Лаборатория пасленовых культур

Leo123@tut.byKubrakSvetlana VladmimrovnaКубракСветлана Владмимровна

Junior Researcher. Laboratory of Ecological Genetics and Biotechnology

младш. науч. сотр. Лаборатория экологической генетики и биотехнологии

S.Kubrak@igc.bas-net.byKilchevskiyAleksandr VladimirovichКильчевскийАлександр Владимирович

Head of the Laboratory, Dr.Sci., Prof. Laboratory of Ecological Genetics and Biotechnology

д. б. н., зав. лабораторией, член-корреспондент. Лаборатория экологической генетики и биотехнологии

A.Kilchevcky@igc.bas-net.byKhotylevaLyubov VladimirovnaХотылёваЛюбовь Владимировна

Chief Scientist, Dr.Sci., Prof., Academician. Laboratory of Ecological Genetics and Biotechnology

д. б. н., глав. науч. сотр., профессор, академик. Лаборатория экологической генетики и биотехнологии

L.Khotyleva@igc.bas-net.byInstitute of Genetics & Cytology National Academy of SciencesИнститут генетики и цитологии НАНБInstitute of Vegetable CropsИнститут овощеводства15092014123VOL 12, NO3 (2014)ТОМ 12, №3 (2014)31130032016Copyright ©; 2014, Shapturenko M.N., Tarutina L.A., Mishin L.A., Kubrak S.V., Kilchevskiy A.V., Khotyleva L.V.Copyright ©; 2014, Шаптуренко М.Н., Тарутина Л.А., Мишин Л.А., Кубрак С.В., Кильчевский А.В., Хотылёва Л.В.2014Shapturenko M.N., Tarutina L.A., Mishin L.A., Kubrak S.V., Kilchevskiy A.V., Khotyleva L.V.Шаптуренко М.Н., Тарутина Л.А., Мишин Л.А., Кубрак С.В., Кильчевский А.В., Хотылёва Л.В.http://creativecommons.org/licenses/by/4.0https://journals.eco-vector.com/ecolgenet/article/view/2421

Background: Although the use of heterosis is one of the most significant achievements of agriculture, the genetic mechanisms of this phenomenon still remain unclear. Development of numerous molecular tools stimulated efforts to determine the prognostic criteria for selection of best parental combinations. In result of studying the relationship between heterosis in F1 and genetic divergence of the parents, the prospects of utilizing DNA markers have not been persuasively established due to inconsistent findings. Materials and methods: Molecular-genetic data have been used to predict heterosis in F1 hybrids of tomato. Estimates of the genetic dissimilarity of parents for all pair-wise combinations of testcross (4 × 6) were performed based on patterns of 11 SSR informative markers (PIC 0.28-0.85). The general (GCA) and specific (SCA) combining ability of line, mid-parent heterosis (MPH) and high-parent heterosis (HPH) of F1 were assessed. Relationship between GD, MPH and HPH were calculated by correlation analysis. Result: The level of total SSR divergence of the parental lines was significantly associated with heterosis and SCA (sij) for fruit weight and fruit number per plant. Notably, the highest values of MPH and HPH were obtained in the most divergent pair-wise combinations. Lowest negative values of heterosis were observed in the F1 progeny from the least divergent lines. But the main group of F1 progeny demonstrates wide variation of heterosis due to SSR GD have low prognostic potential. Conclusion: Estimation of GDs may be useful for predicting promising combinations, but has limitations, since only a part of F1 heterotic advantage may be explained by the genetic divergence of its parents. Probably for understanding and manipulating heterosis the genetic divergence must be dissected to select “positive” markers, i. e. those that allow identifying the part of heterogeneity associated with the expression of heterosis in F1.

Изучены перспективы использования SSR-маркеров для предсказания генетического потенциала F1 томата. Показано, что оценка SSR-полиморфизма может быть полезна, однако имеет ограничения, так как только часть гетерозиготного преимущества F1 может быть объяснена уровнем генетической дивергенции (GD) их родителей. Для понимания генетических основ гетерозиса и его эффективного практического использования необходимо детализировать оценку GD для выбора «позитивных» маркеров, т. е. обеспечивающих выявление той части гетерогенности, которая связана с экспрессией гетерозиса в F1.

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