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<article article-type="review-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vir-nw</journal-id><journal-title-group><journal-title xml:lang="ru">Труды по прикладной ботанике, генетике и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings on applied botany, genetics and breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2227-8834</issn><issn pub-type="epub">2619-0982</issn><publisher><publisher-name>N.I. Vavilov All-Russian Institute of Plant Genetic Resources</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30901/2227-8834-2024-4-252-263</article-id><article-id custom-type="elpub" pub-id-type="custom">vir-nw-2132</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SURVEYS</subject></subj-group></article-categories><title-group><article-title>NGS-секвенирование в селекционно-генетических исследованиях сои</article-title><trans-title-group xml:lang="en"><trans-title>Next-generation sequencing in soybean breeding and genetic research</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0005-7915-441X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Меньков</surname><given-names>М. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Menkov</surname><given-names>M. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михаил Тимофеевич Меньков младший научный сотрудник, Научно-технологический университет «Сириус», Научный центр генетики и наук о жизни, ФИЦ Всероссийский институт генетических ресурсов растений имени Н.И. Вавилова.</p><p>354340 Краснодарский край, федеральная территория «Сириус», пгт. Сириус, Олимпийский пр., 1; 190000 Санкт-Петербург, ул. Б. Морская, 42, 44</p></bio><bio xml:lang="en"><p>Mikhail T. Menkov Associate Researcher, Sirius Universit y of Science and Technology, Research Center of Genetics and Life Sciences, , N.I. Vavilov All-Russian Institute of Plant Genetic Resources,</p><p>1 Olimpiysky Ave., Sirius Settlem., Sirius Federal Territory, Krasnodar Territory 354340; 42, 44 Bolshaya Morskaya Street, St. Petersburg 190000</p></bio><email xlink:type="simple">menkov.mt@talantiuspeh.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4341-0766</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Розанова</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Rozanova</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ирина Вениаминовна Розанова - кандидат биологических наук, старший научный сотрудник.</p><p>354340 Краснодарский край, федеральная территория «Сириус», пгт. Сириус, Олимпийский пр., 1</p></bio><bio xml:lang="en"><p>Irina V. Rozanova - Cand. Sci. (Biology), Senior Researcher.</p><p>1 Olimpiysky Ave., Sirius Settlem., Sirius Federal Territory, Krasnodar Territory 354340</p></bio><email xlink:type="simple">i.rozanova@vir.nw.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0246-8929</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Евлаш</surname><given-names>А. Я.</given-names></name><name name-style="western" xml:lang="en"><surname>Evlash</surname><given-names>A. Ya.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Анастасия Ярославовна Евлаш младший научный сотрудник.</p><p>354340 Краснодарский край, федеральная территория «Сириус», пгт. Сириус, Олимпийский пр., 1</p></bio><bio xml:lang="en"><p>Anastasia Ya. Evlash - Associate Researcher.</p><p>1 Olimpiysky Ave., Sirius Settlem., Sirius Federal Territory, Krasnodar Territory 354340</p></bio><email xlink:type="simple">evlash-nastja@rambler.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8470-8254</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хлесткина</surname><given-names>Е. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Khlestkina</surname><given-names>E. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Елена Константиновна Хлесткина - доктор биологических наук, профессор РАН, директор, ФИЦ Всероссийский институт генетических ресурсов растений имени Н.И. Вавилова, руководитель направления «Биология и биотехнология растений», НТУ «Сириус», Научный центр генетики и наук о жизни,</p><p>354340 Краснодарский край, федеральная территория «Сириус», пгт. Сириус, Олимпийский пр., 1; 190000 Санкт-Петербург, ул. Б. Морская, 42, 44</p></bio><bio xml:lang="en"><p>Elena K. Khlestkina - Dr. Sci. (Biology), Professor of the RAS, Director, N.I. Vavilov All-Russian Institute of Plant Genetic Resources, Plant Biology and Biotechnology Research Manager, Sirius University of Science and Technology, RC of Genetics and Life Sciences.</p><p>1 Olimpiysky Ave., Sirius Settlem., Sirius Federal Territory, Krasnodar Territory 354340; 42, 44 Bolshaya Morskaya Street, St. Petersburg 190000</p></bio><email xlink:type="simple">director@vir.nw.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Научно-технологический университет «Сириус», Центр генетики и наук о жизни; Федеральный исследовательский центр Всероссийский институт генетических ресурсов растений имени Н.И. Вавилова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sirius University of Science and Technology, Research Center of Genetics and Life Sciences; N.I. Vavilov All-Russian Institute of Plant Genetic Resources</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Научно-технологический университет «Сириус», Центр генетики и наук о жизни</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sirius University of Science and Technology, Research Center of Genetics and Life Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>11</day><month>01</month><year>2025</year></pub-date><volume>185</volume><issue>4</issue><fpage>252</fpage><lpage>263</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Меньков М.Т., Розанова И.В., Евлаш А.Я., Хлесткина Е.К., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Меньков М.Т., Розанова И.В., Евлаш А.Я., Хлесткина Е.К.</copyright-holder><copyright-holder xml:lang="en">Menkov M.T., Rozanova I.V., Evlash A.Y., Khlestkina E.K.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://elpub.vir.nw.ru/jour/article/view/2132">https://elpub.vir.nw.ru/jour/article/view/2132</self-uri><abstract><p>Соя (Glycine max (L.) Merr.) является одной из важнейших зернобобовых культур, производство которой растет с каждым годом и на 2024 г. составляет около 7 миллионов тонн. Целью данного обзора было обобщение последних достижений в селекции сои, в том числе с применением методов высокопроизводительного секвенирования и геномных технологий. Соя является одним из наиболее изучаемых растений. Ввиду ее важности для сельского хозяйства селекционеры постоянно реализуют в своей работе наиболее передовые методы. Исследования, выполненные в последние годы, показали преимущество подходов, основанных на применении молекулярно-генетических маркеров. Первый вариант последовательности генома сои, геном G. max ‘Williams 82’, представили в 2010 г., и это событие значимо ускорило изучение и развитие генетических исследований культуры. Полученные данные позволили создавать ресурсы, направленные как на изучение функциональной организации генов сои, так и на выведение новых улучшенных сортов. В обзоре обобщены результаты по крупным проектам секвенирования сои, в том числе и пангеномные работы. Описаны методы, применяющиеся для генетического картирования высокого разрешения, такие как анализ SNP с использованием чипов и метод GBS (genotyping-by-sequencing). Представлена информация о генах сои, связанных с хозяйственно ценными и селекционно значимыми признаками, идентификация которых позволила выделить их в качестве мишеней для редактирования.</p></abstract><trans-abstract xml:lang="en"><p>Soybean (Glycine max (L.) Merr.) is one of the most important grain legume crops whose production has been growing every year and by 2024 reached ca. 7 million tons. The objective of this review was to summarize the latest achievements in soybean breeding, including the use of high-throughput sequencing methods and genomic technologies. Soybean is one of the most studied plants. The studies of recent years showed the advantage of approaches based on the use of molecular genetic markers in breeding. The first version of the soybean genome sequence, the G. max genome “Williams 82”, was presented in 2010, and this event significantly accelerated the study and development of genetic research on the crop. The data obtained made it possible to develop resources aimed at both studying the functional organization of soybean genes and breeding new improved cultivars. The review summarizes the results of large-scale soybean sequencing projects, including pan-genome works. Methods used for high-resolution genetic mapping, such as the SNP array analysis and the GBS (genotyping-by-sequencing) technique, are described. Information is provided on soybean genes associated with valuable agronomic and breeding-oriented traits whose identification made it possible to single them out as targets for editing.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ускоренная селекция</kwd><kwd>молекулярные маркеры</kwd><kwd>соя</kwd><kwd>NGS</kwd><kwd>Glycine max</kwd><kwd>GBS</kwd></kwd-group><kwd-group xml:lang="en"><kwd>accelerated breeding</kwd><kwd>molecular markers</kwd><kwd>soybean</kwd><kwd>NGS</kwd><kwd>Glycine max</kwd><kwd>GBS</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">результаты получены при финансовой поддержке проекта, реализуемого в рамках государственной программы федеральной территории «Сириус» «Научно-технологическое развитие федеральной территории “Сириус”» (соглашение № 18-03 от 10.09.2024)</funding-statement><funding-statement xml:lang="en">the results were obtained with financial support from the state program for the Sirius Federal Territory “Scientific and technological development of the Sirius Federal Territory” (Agreement No. 18-03 dated Sept. 10, 2024). 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