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<article article-type="research-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">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/VJ21.007</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-2916</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>БИОИНФОРМАТИКА И СИСТЕМНАЯ КОМПЬЮТЕРНАЯ БИОЛОГИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BIOINFORMATICS AND COMPUTATIONAL SYSTEMS BIOLOGY</subject></subj-group></article-categories><title-group><article-title>Пангеномы сельскохозяйственных растений</article-title><trans-title-group xml:lang="en"><trans-title>Crop pangenomes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3011-6288</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пронозин</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Pronozin</surname><given-names>A. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск</p></bio><bio xml:lang="en"><p>Novosibirsk</p></bio><email xlink:type="simple">pronozinartem95@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Брагина</surname><given-names>М. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Bragina</surname><given-names>M. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск</p></bio><bio xml:lang="en"><p>Novosibirsk</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8590-847X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Салина</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Salina</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск</p></bio><bio xml:lang="en"><p>Novosibirsk</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Федеральный исследовательский центр Институт цитологии и генетики Сибирского отделения Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Федеральный исследовательский центр Институт цитологии и генетики Сибирского отделения Российской академии наук; Курчатовский геномный центр Института цитологии и генетики Сибирского отделения Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of the Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>15</day><month>03</month><year>2021</year></pub-date><volume>25</volume><issue>1</issue><fpage>57</fpage><lpage>63</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Пронозин А.Ю., Брагина М.К., Салина Е.А., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Пронозин А.Ю., Брагина М.К., Салина Е.А.</copyright-holder><copyright-holder xml:lang="en">Pronozin A.Y., Bragina M.K., Salina E.A.</copyright-holder><license 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://vavilov.elpub.ru/jour/article/view/2916">https://vavilov.elpub.ru/jour/article/view/2916</self-uri><abstract><p>Cеквенирование генома организма – важный этап в его генетических исследованиях. Расшифровка геномной последовательности открывает широкие возможности для изучения строения структуры хромосом, распределения повторенных и кодирующих последовательностей, идентификации и аннотации генов. При исследовании сельскохозяйственных растений это позволяет анализировать функции генов, разрабатывать маркеры для поиска ассоциаций с фенотипическими признаками. При решении этих задач геном вида часто представлен последовательностью одного организма (так называемым референсным геномом). В последнее время, однако, появляется много свидетельств в пользу того, что большие структурные изменения генома, включая вариации числа копий генов и вариации наличия/отсутствия генов, преобладают в сельскохозяйственных культурах, играют ключевую роль в генетическом определении агрономически важных признаков и приводят к значительным вариациям функционального набора генов и генного состава у представителей одного вида. Такие структурные вариации не могут быть представлены на основе одной лишь референсной последовательности и описываются исходя из концепции пангенома. Пангеном – это информация о полном наборе генов таксона, среди которых можно выделить набор универсальных генов, общих для всех представителей таксона, и вариабельных генов, которые являются частично или полностью специфичными для его представителей. Анализ пангеномов дает более точное понимание генетического разнообразия генофонда. Технологии секвенирования и анализа пангеномов позволяют обеспечить возможность масштабного изучения геномных вариаций, доступ к более широкому спектру геномных данных в селекционных программах и помогут ускорить селекцию культурных растений для создания сортов со стабильно высокой урожайностью и устойчивостью к стрессам. В работе представлен краткий обзор исследования пангеномов сельскохозяйственных растений, описаны их структурные особенности, методы и программы биоинформатического анализа пангеномных данных.</p></abstract><trans-abstract xml:lang="en"><p>Progress in genome sequencing, assembly and analysis allows for a deeper study of agricultural plants’ chromosome structures, gene identif ication and annotation. The published genomes of agricultural plants proved to be a valuable tool for studing gene functions and for marker-assisted and genomic selection. However, large structural genome changes, including gene copy number variations (CNVs) and gene presence/absence variations (PAVs), prevail in crops. These genomic variations play an important role in the functional set of genes and the gene composition in individuals of the same species and provide the genetic determination of the agronomically important crops properties. A high degree of genomic variation observed indicates that single reference genomes do not represent the diversity within a species, leading to the pangenome concept. The pangenome represents information about all genes in a taxon: those that are common to all taxon members and those that are variable and are partially or completely specif ic for particular individuals. Pangenome sequencing and analysis technologies provide a large-scale study of genomic variation and resources for an evolutionary research, functional genomics and crop breeding. This review provides an analysis of agricultural plants’ pangenome studies. Pangenome structural features, methods and programs for bioinformatic analysis of pangenomic data are described.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сельскохозяйственные растения</kwd><kwd>геномы</kwd><kwd>пангеномы</kwd><kwd>гены</kwd><kwd>эволюция</kwd><kwd>биоинформатический анализ</kwd><kwd>вычислительные конвейеры</kwd></kwd-group><kwd-group xml:lang="en"><kwd>agricultural plants</kwd><kwd>genomes</kwd><kwd>pangenomes</kwd><kwd>genes</kwd><kwd>evolution</kwd><kwd>bioinformatics analysis</kwd><kwd>computational pipelines</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>This work was carried out with funding from the Russian Science Foundation, grant No. 18-14-00293. The authors are grateful to N.A. Shmakov and D.A. Afonnikov for their assistance with the text. 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