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Fungal metabolism and free amino acid content may predict nitrogen transfer to the host plant in the ectomycorrhizal relationship between Pisolithus spp. and Eucalyptus grandis.
Plett, Krista L; Wojtalewicz, Dominika; Anderson, Ian C; Plett, Jonathan M.
Afiliação
  • Plett KL; NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, 2568, Australia.
  • Wojtalewicz D; Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia.
  • Anderson IC; Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia.
  • Plett JM; Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, 2753, Australia.
New Phytol ; 2023 Nov 16.
Article em En | MEDLINE | ID: mdl-37974494
ABSTRACT
Ectomycorrhizal (ECM) fungi are crucial for tree nitrogen (N) nutrition; however, mechanisms governing N transfer from fungal tissues to the host plant are not well understood. ECM fungal isolates, even from the same species, vary considerably in their ability to support tree N nutrition, resulting in a range of often unpredictable symbiotic outcomes. In this study, we used isotopic labelling to quantify the transfer of N to the plant host by isolates from the ECM genus Pisolithus, known to have significant variability in colonisation and transfer of nutrients to a host. We considered the metabolic fate of N acquired by the fungi and found that the percentage of plant N acquired through symbiosis significantly correlated to the concentration of free amino acids in ECM extra-radical mycelium. Transcriptomic analyses complemented these findings with isolates having high amino acid content and N transfer showing increased expression of genes related to amino acid transport and catabolic pathways. These results suggest that fungal N metabolism impacts N transfer to the host plant in this interaction and that relative N transfer may be possible to predict through basic biochemical analyses.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article