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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="review-article" 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">692757</article-id><article-id pub-id-type="doi">10.17816/ecogen692757</article-id><article-id pub-id-type="edn">PCHYRK</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Ecosystems metagenomics</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Метагеномика экосистем</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Resistome patterns in poultry farms: from genes to ecosystems</article-title><trans-title-group xml:lang="ru"><trans-title>Резистом птицеводческих хозяйств: от генов до экосистем</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4059-2878</contrib-id><contrib-id contrib-id-type="spin">1129-7436</contrib-id><name-alternatives><name xml:lang="en"><surname>Chemisova</surname><given-names>Olga S.</given-names></name><name xml:lang="ru"><surname>Чемисова</surname><given-names>Ольга Сергеевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology)</p></bio><bio xml:lang="ru"><p>канд. биол. наук</p></bio><email>chemisova@inbox.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1194-7251</contrib-id><contrib-id contrib-id-type="spin">6197-7220</contrib-id><name-alternatives><name xml:lang="en"><surname>Sedova</surname><given-names>Darya A.</given-names></name><name xml:lang="ru"><surname>Седова</surname><given-names>Дарья Андреевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>dased0va@yandex.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-2130-0175</contrib-id><contrib-id contrib-id-type="spin">2638-2848</contrib-id><name-alternatives><name xml:lang="en"><surname>Sereda</surname><given-names>Alina A.</given-names></name><name xml:lang="ru"><surname>Середа</surname><given-names>Алина Александровна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>alina.sereda2001@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-0888-2861</contrib-id><contrib-id contrib-id-type="spin">1440-6753</contrib-id><name-alternatives><name xml:lang="en"><surname>Gordeeva</surname><given-names>Yuliya P.</given-names></name><name xml:lang="ru"><surname>Гордеева</surname><given-names>Юлия Петровна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>GordeevaYP@yandex.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Don State Technical University</institution></aff><aff><institution xml:lang="ru">Донской государственный технический университет</institution></aff><aff><institution xml:lang="zh"></institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Don State Technical University</institution></aff><aff><institution xml:lang="ru">Донской государственный технический университет</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2025-11-26" publication-format="electronic"><day>26</day><month>11</month><year>2025</year></pub-date><pub-date date-type="pub" iso-8601-date="2026-02-09" publication-format="electronic"><day>09</day><month>02</month><year>2026</year></pub-date><volume>23</volume><issue>4</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>375</fpage><lpage>390</lpage><history><date date-type="received" iso-8601-date="2025-10-10"><day>10</day><month>10</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-11-23"><day>23</day><month>11</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-year>2025</copyright-year><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/692757">https://journals.eco-vector.com/ecolgenet/article/view/692757</self-uri><abstract xml:lang="en"><p>The intensive application of antimicrobial agents in industrial poultry farming contributes to the formation and maintenance of an extensive resistome – the collection of antibiotic resistance genes within microbial communities. This review synthesizes current data on the structure, diversity, and circulation of antibiotic resistance genes in poultry production systems within the context of the “One Health” concept. It offers a unique, systemic perspective, viewing a poultry farm as an integrated ecosystem for the circulation of resistance genes.</p> <p>Metagenomic studies have revealed over 600 types of resistance genes in the poultry microbiome, conferring resistance to 25 classes of antibiotics. The most prevalent genes confer resistance to tetracyclines (<italic>tetA</italic>, <italic>tetB</italic>, <italic>tetM</italic>), <italic>β</italic>-lactams (<italic>bla<sub>TEM</sub></italic>, bla<sub>CTX-M</sub>, <italic>bla<sub>CMY-2</sub></italic>), macrolides (<italic>ermB</italic>, <italic>ermA</italic>), fluoroquinolones (<italic>qnrS</italic>, <italic>qnrB</italic>), and aminoglycosides. Of particular concern is the detection of carbapenemase genes (<italic>bla<sub>NDM</sub></italic>, <italic>bla<sub>OXA-48</sub></italic>) and genes conferring resistance to last-resort drugs such as tigecycline (<italic>tetX4</italic>) and colistin (<italic>mcr-1</italic>). The concentration of resistance genes in poultry litter can reach 10¹⁶ copies per gram, exceeding levels found in other types of livestock waste.</p> <p>The review details key ecological reservoirs, including the gut microbiome, hatcheries, biofilms in water systems, litter, and production surfaces. The primary dissemination mechanisms encompass vertical transmission via hatcheries, horizontal gene transfer mediated by plasmids and transposons, and large-scale dispersion through litter into agro-ecosystems. The role of co-selection with heavy metal and biocide resistance genes in maintaining the resistome in the absence of antibiotic pressure is highlighted.</p> <p>This review emphasizes the necessity for an integrated approach to resistome control. This includes optimizing antimicrobial use, enhancing biosecurity measures, developing alternative prophylactic strategies, and implementing effective waste management protocols to mitigate environmental and epidemiological risks.</p></abstract><trans-abstract xml:lang="ru"><p>Интенсивное применение антимикробных препаратов в промышленном птицеводстве способствует формированию и поддержанию обширного резистома — совокупности генов устойчивости к антибиотикам в микробных сообществах. В данном обзоре систематизированы современные данные о структуре, разнообразии и циркуляции генов антибиотикорезистентности в птицеводческих хозяйствах в контексте концепции «Единое здоровье». Эта работа предлагает уникальный, системный взгляд на птицеферму как на целостную экосистему циркуляции генов устойчивости. Метагеномные исследования выявили более 600 типов генов резистентности в микробиоме птиц, детерминирующих устойчивость к 25 классам антибиотиков. Наиболее распространенными являются гены устойчивости к тетрациклинам (tetA, tetB, tetM), β-лактамам (bla<sub>TEM</sub>, bla<sub>CTX-M</sub>, bla<sub>CMY-2</sub>), макролидам (ermB, ermA) и фторхинолонам (qnrS, qnrB), аминогликозидам. Особую обеспокоенность вызывает выявление генов карбапенемаз (bla<sub>NDM</sub>, bla<sub>OXA-48</sub>) и устойчивости к тигециклину (tetX4) и колистину (mcr-1) — препаратам резерва. Концентрация генов резистентности в птичьем помете достигает 10<sup>16</sup> копий на грамм, что превышает показатели других типов животноводческих отходов. Детально описаны экологические резервуары: кишечный микробиом, инкубаторы, биопленки в системах водоснабжения, подстилка и производственные поверхности. Основные механизмы диссеминации включают вертикальную передачу через инкубаторы, горизонтальный перенос генов посредством плазмид и транспозонов и массовое распространение через помет в агроэкосистемы. Показана роль коселекции с генами устойчивости к тяжелым металлам и биоцидам в поддержании резистома без антибиотического давления. Обзор подчеркивает необходимость комплексного подхода к контролю резистома, включающего оптимизацию применения антимикробных препаратов, совершенствование биобезопасности, альтернативные стратегии профилактики и эффективную обработку отходов птицеводства для минимизации экологических и эпидемиологических рисков.</p></trans-abstract><kwd-group xml:lang="en"><kwd>review</kwd><kwd>poultry farms</kwd><kwd>resistome</kwd><kwd>antibiotic resistance</kwd><kwd>antibiotic resistance genes</kwd><kwd>One Health</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>обзор</kwd><kwd>птицефермы</kwd><kwd>резистом</kwd><kwd>антибиотикорезистентность</kwd><kwd>гены устойчивости к антибиотикам</kwd><kwd>концепция «Единое здоровье»</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Российский научный фонд</institution></institution-wrap><institution-wrap><institution xml:lang="en">Russian Science Foundation</institution></institution-wrap></funding-source><award-id>25-26-00262</award-id></award-group><funding-statement xml:lang="en">The study was supported by the Russian Science Foundation grant No. 25-26-00262 of December 26, 2024, “Predicting the Risk of Antibiotic Resistance Gene Reservoir Formation in Poultry Farms, Using Rostov Region as an Example”</funding-statement><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 25-26-00262 от 26.12.2024 «Прогнозирование риска формирования резервуара генов антибиотикоустойчивости в птицеводческих хозяйствах на примере Ростовской области»</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Mulchandani R, Wang Y, Gilbert M, et al. 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