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The nature of plant-fungi interaction at early stages of arbuscular mycorrhiza (AM) development is still a puzzling problem. To investigate the processes behind this interaction, we used the Medicago lupulina MlS-1 line that forms high-efficient AM symbiosis with Rhizophagus irregularis. AM fungus actively colonizes the root system of the host plant and contributes to the formation of effective AM as characterized by a high mycorrhizal growth response (MGR) in the host plant. The present study is aimed at distinguishing the alterations in the M. lupulina root metabolic profile as an indicative marker of effective symbiosis. We examined the root metabolome at the 14th and 24th day after sowing and inoculation (DAS) with low substrate phosphorus levels. A GS-MS analysis detected 316 metabolites. Results indicated that profiles of M. lupulina root metabolites differed from those in leaves previously detected. The roots contained fewer sugars and organic acids. Hence, compounds supporting the growth of mycorrhizal fungus (especially amino acids, specific lipids, and carbohydrates) accumulated, and their presence coincided with intensive development of AM structures. Mycorrhization determined the root metabolite profile to a greater extent than host plant development. The obtained data highlight the importance of active plant-fungi metabolic interaction at early stages of host plant development for the determination of symbiotic efficiency.

Translated title of the contributionРоль взаимодействия Medicago lupulina с Rhizophagus irregularis в определении метаболома корней на ранних этапах формирования эндомикоризы
Original languageEnglish
Article number2338
Number of pages19
JournalPlants
Volume11
Issue number18
DOIs
StatePublished - 7 Sep 2022

    Research areas

  • Medicago lupulina, Rhizophagus irregularis, arbuscular mycorrhiza, metabolic profile, physiological stage, plant development, root, symbiotic efficiency

    Scopus subject areas

  • General Agricultural and Biological Sciences
  • Ecology, Evolution, Behavior and Systematics
  • Plant Science
  • Ecology

ID: 98704739