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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Ecological genetics</journal-id><journal-title-group><journal-title xml:lang="en">Ecological genetics</journal-title><trans-title-group xml:lang="ru"><trans-title>Экологическая генетика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1811-0932</issn><issn publication-format="electronic">2411-9202</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">707965</article-id><article-id pub-id-type="doi">10.17816/ecogen707965</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Methodology in ecological genetics</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Методология экологической генетики</subject></subj-group><subj-group subj-group-type="article-type"><subject>Unknown</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Plant flow cytometry: current problems, aspects of application and data analysis</article-title><trans-title-group xml:lang="ru"><trans-title>Проточная цитометрия растений: современные проблемы, аспекты применения и анализа данных</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4884-0768</contrib-id><contrib-id contrib-id-type="spin">4762-1760</contrib-id><name-alternatives><name xml:lang="en"><surname>Skaptsov</surname><given-names>Mikhail</given-names></name><name xml:lang="ru"><surname>Скапцов</surname><given-names>Михаил</given-names></name></name-alternatives><email>mr.skaptsov@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8198-5360</contrib-id><contrib-id contrib-id-type="spin">4758-1180</contrib-id><name-alternatives><name xml:lang="en"><surname>Degtyareva</surname><given-names>Galina</given-names></name><name xml:lang="ru"><surname>Дегтярева</surname><given-names>Галина</given-names></name></name-alternatives><email>degavi@belozersky.msu.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9657-3959</contrib-id><contrib-id contrib-id-type="spin">2706-6346</contrib-id><name-alternatives><name xml:lang="en"><surname>Smirnov</surname><given-names>Sergey</given-names></name><name xml:lang="ru"><surname>Смирнов</surname><given-names>Сергей</given-names></name></name-alternatives><email>serg_sm@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2284-6851</contrib-id><contrib-id contrib-id-type="spin">3424-9252</contrib-id><name-alternatives><name xml:lang="en"><surname>Kutsev</surname><given-names>Maxim</given-names></name><name xml:lang="ru"><surname>Куцев</surname><given-names>Максим</given-names></name></name-alternatives><email>m_kucev@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1052-4575</contrib-id><contrib-id contrib-id-type="spin">2428-4653</contrib-id><name-alternatives><name xml:lang="en"><surname>Shmakov</surname><given-names>Alexander</given-names></name><name xml:lang="ru"><surname>Шмаков</surname><given-names>Александр</given-names></name></name-alternatives><email>ssbgbot@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff id="aff1"><institution></institution></aff><pub-date date-type="preprint" iso-8601-date="2026-07-29" publication-format="electronic"><day>29</day><month>07</month><year>2026</year></pub-date><volume>24</volume><issue>3</issue><issue-title xml:lang="ru"/><history><date date-type="received" iso-8601-date="2026-05-29"><day>29</day><month>05</month><year>2026</year></date><date date-type="accepted" iso-8601-date="2026-07-29"><day>29</day><month>07</month><year>2026</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; , Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; , Эко-Вектор</copyright-statement><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://eco-vector.com/for_authors.php#07</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.eco-vector.com/ecolgenet/article/view/707965">https://journals.eco-vector.com/ecolgenet/article/view/707965</self-uri><abstract xml:lang="en"><p>Plant flow cytometry is a widely used method for analyzing and quantifying various cellular and nuclear characteristics, finding application in various fields of botany, plant physiology and biochemistry, evolutionary theory, genetics, and breeding. Flow cytometry is becoming an important tool for the certification and verification of biological collections, providing an objective criterion (genome size/ploidy) to confirm the taxonomic affiliation and genetic stability of collection specimens. Including cytometric data in collection metadata enhances their scientific value and facilitates interlaboratory reproducibility of results. While instrumentation advances have minimized the impact of hardware on results, the challenge of obtaining accurate and reproducible genome size data in plants remains pressing. In addition to the unique organization of plant genomes, which determines intraspecific variability, the sources of inaccuracies remain inherent in the flow cytometry method itself. This article covers key aspects of flow cytometry that influence the final result and affect all stages of sample preparation. Emphasis is placed on the quality of the source material, the issue of standardization, and key considerations when comparing previously obtained results. Illustrations are included to provide clarity and prevent common errors.</p></abstract><trans-abstract xml:lang="ru"><p>Проточная цитометрия растений – широко используемый метод для анализа и количественной оценки различных клеточных и ядерных характеристик, находящий применение в различных областях ботаники, физиологии и биохимии растений, эволюционном учении, генетике и селекции. Проточная цитометрия становится важным инструментом паспортизации и верификации биологических коллекций, обеспечивая объективный критерий (размер генома/плоидность) для подтверждения таксономической принадлежности и генетической стабильности коллекционных образцов. Включение цитометрических данных в метаданные коллекций повышает их научную ценность и способствует межлабораторной воспроизводимости результатов. Усовершенствование приборов сократило до минимума влияние аппаратной части на результат, однако проблема получения точных и воспроизводимых данных по размерам генома у растений продолжает оставаться актуальной. Помимо особенностей организации самих геномов растений, определяющих внутривидовую изменчивость, причины неточностей продолжают оставаться в самом методе проточной цитометрии. В статье затронуты ключевые моменты использования метода проточной цитометрии, влияющие на получаемый результат и затрагивающие все этапы пробоподготовки. Акцент сделан на качестве исходного материала, проблеме стандартизации и ключевых нюансах при сопоставлении ранее полученных результатов. Для наглядности и предотвращения типичных ошибок подобраны иллюстрации.</p></trans-abstract><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Doležel J., Bartoš J., Voglmayr H., et al. Nuclear DNA content and genome size of trout and human. 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