Microbial biomarkers of tree water status for next‐generation biomonitoring of forest ecosystems

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Cambon, Marine, C | Trillat, Marine | Lesur‐kupin, Isabelle | Burlett, Régis | Chancerel, Emilie | Guichoux, Erwan | Piouceau, Lucie | Castagneyrol, Bastien | Le Provost, Grégoire | Robin, Stéphane | Ritter, Yves | van Halder, Inge | Delzon, Sylvain | Bohan, David, A | Vacher, Corinne

Edité par CCSD ; Wiley -

International audience. Next-generation biomonitoring proposes to combine machine-learning algorithms with environmental DNA data to automate the monitoring of the Earth's major ecosystems. In the present study, we searched for molecular biomarkers of tree water status to develop next-generation biomonitoring of forest ecosystems. Because phyllosphere microbial communities respond to both tree physiology and climate change, we investigated whether environmental DNA data from tree phyllosphere could be used as molecular biomarkers of tree water status in forest ecosystems. Using an amplicon sequencing approach, we analysed phyllosphere microbial communities of four tree species (Quercus ilex, Quercus robur, Pinus pinaster and Betula pendula) in a forest

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