Ecological geneticsEcological geneticsЭкологическая генетика1811-09322411-9202Eco-Vector64271010.17816/ecogen642710Methodology in ecological geneticsМетодология экологической генетикиReview ArticleApplication of Quantitative Trait Loci (QTL) mapping to study the interactions of pea (Pisum sativum L.) with rhizosphere microorganismsИспользование генетического картирования локусов количественных признаков (QTL) для изучения взаимодействия гороха посевного (Pisum sativum L.) с ризосферными микроорганизмамиhttps://orcid.org/0000-0001-8961-9317ZhernakovAleksandr I.ЖернаковАлександр Игоревич
Russian Federation
azhernakov@arriam.ruhttps://orcid.org/0000-0001-9637-90596385-2305GordonMikhail L.ГордонМихаил Львович
Russian Federation
m.gordon.zelenoborsky@gmail.comhttps://orcid.org/0000-0001-5666-30205048-0203ZorinEvgeny A.ЗоринЕвгений Андреевич
Russian Federation

Cand. Sci. (Biology)

канд. биол. наук

ezorin@arriam.ruhttps://orcid.org/0000-0002-2300-857X4906-1159SulimaAnton S.СулимаАнтон Сергеевич
Russian Federation

Cand. Sci. (Biology)

канд. биол. наук

asulima@arriam.ruhttps://orcid.org/0000-0002-2411-91912610-3670ZhukovVladimir A.ЖуковВладимир Александрович
Russian Federation

Cand. Sci. (Biology)

канд. биол. наук

vzhukov@arriam.ruAll-Russia Research Institute for Agricultural MicrobiologyВсероссийский научно-исследовательский институт сельскохозяйственной микробиологииAll-Russia Research Institute for Agricultural MicrobiologyВсероссийский научно-исследовательский институт сельскохозяйственной микробиологииN.I. Vavilov All-Russian Institute of Plant Genetic ResourcesФедеральный исследовательский центр Всероссийский институт генетических ресурсов растений им. Н.И. Вавилова131220241904202523165790912202413122024Copyright ©; 2025, Eco-VectorCopyright ©; 2025, Эко-Вектор2025Eco-VectorЭко-Векторhttps://eco-vector.com/for_authors.php#07https://journals.eco-vector.com/ecolgenet/article/view/642710

The review is devoted to the application of quantitative trait loci (QTL) analysis to study the interactions of common pea (Pisum sativum L.), one of the most important grain legumes, with soil microorganisms. Pea, like other legumes, forms symbioses with nodule bacteria and arbuscular mycorrhiza fungi. The formation of symbioses leads to improved nitrogen and phosphorus nutrition of plants, resulting in increased plant resistance to abiotic and biotic stress factors, in particular, to phytopathogens. The main objective of QTL analysis is to identify genomic regions whose allelic state affects the manifestation of quantitative traits, including such traits as nitrogen fixation efficiency and pathogen resistance. The identified QTLs and molecular markers created on their basis can be used in the selection of new pea varieties with improved agronomic characteristics, such as resistance to changing environmental conditions and high efficiency of symbiotic systems. This article reviews the historical stages of the emergence of QTL analysis, the basic principles of QTL mapping, and modern approaches. The need for an integrated approach to the analysis of the characteristics of symbiosis efficiency and stability is noted, and the use of integrated phenotypic assessments for working with such traits is discussed.

Обзор посвящен применению анализа локусов количественных признаков (QTL) для изучения взаимодействий гороха посевного (Pisum sativum L.) — одной из важнейших зернобобовых культур — с почвенными микроорганизмами. Горох, как и другие бобовые растения, образует симбиозы с клубеньковыми бактериями и грибами арбускулярной микоризы. Формирование симбиозов приводит к улучшению азотного и фосфорного питания растений, в результате чего повышается устойчивость растений к абиотическим и биотическим стрессовым факторам, в частности, к воздействию фитопатогенов. Основная задача QTL-анализа состоит в идентификации участков генома, аллельное состояние которых влияет на проявление количественных признаков, в том числе таких как эффективность фиксации азота и устойчивость к патогенам. Выявленные QTL и создаваемые на их основе молекулярные маркеры могут быть использованы при селекции новых сортов гороха с улучшенными агрономическими характеристиками, например устойчивостью к изменяющимся условиям окружающей среды и высокой эффективностью симбиотических систем. В данной статье рассматриваются исторические этапы развития QTL-анализа, основные принципы картирования QTL и современные подходы. Отмечена необходимость комплексного подхода к анализу признаков эффективности симбиоза и устойчивости, обсуждается использование интегральных фенотипических оценок для работы с подобными признаками.

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