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Linking soil's volatilome to microbes and plant roots highlights the importance of microbes as emitters of belowground volatile signals
Goethe University Frankfurt, Germany.ORCID iD: 0000-0002-2642-283x
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2019 (English)In: Environmental Microbiology, ISSN 1462-2912, E-ISSN 1462-2920, Vol. 21, no 9, p. 3313-3327Article in journal (Refereed) Published
Abstract [en]

Plants and microbes release a plethora of volatiles that act as signals in plant–microbe interactions. Characterizing soil's volatilome and microbiome might shed light on the nature of relevant volatile signals and on their emitters. This hypothesis was tested by characterizing plant cover, soil's volatilome, nutrient content and microbiomes in three grasslands of the Swiss Jura Mountains. The fingerprints of soil's volatiles were generated by solid-phase micro-extraction gas chromatography/mass spectrometry, whereas high-throughput sequencing was used to create a snapshot of soil's microbial communities. A high similarity was observed in plant communities of two out of three sites, which was mirrored by the soil's volatilome. Multiple factor analysis evidenced a strong association among soil's volatilome, plant and microbial communities. The proportion of volatiles correlated to single bacterial and fungal taxa was higher than for plants. This suggests that those organisms might be major contributors to the volatilome of grassland soils. These findings illustrate that key volatiles in grassland soils might be emitted by a handful of organisms that include specific plants and microbes. Further work will be needed to unravel the structure of belowground volatiles and understand their implications for plant health and development.

Place, publisher, year, edition, pages
Blackwell Publishing Ltd , 2019. Vol. 21, no 9, p. 3313-3327
National Category
Agricultural Science
Identifiers
URN: urn:nbn:se:ri:diva-56361DOI: 10.1111/1462-2920.14599Scopus ID: 2-s2.0-85064545394OAI: oai:DiVA.org:ri-56361DiVA, id: diva2:1592270
Note

Funding details: Recherches Avancées sur la Biologie de l’Arbre et les Ecosystèmes Forestiers, ARBRE, ANR-11-LABX 0002 01; Funding details: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, CR31I3_156282/1; Funding details: Institut National de la Recherche Agronomique, INRA; Funding text 1: The authors are thankful to Luc St?venin for his assistance in collecting soil samples. Research funding was provided for DS and RS through the LOEWE research program of the government of Hesse, Germany, in the framework of the Integrative Fungal Research Cluster (IPF) and for AV, MM, PM and AB through the Swiss SNF grant CR31I3_156282/1. The Laboratory of Excellence Advanced Research on the Biology of Tree and Forest Ecosystems (ARBRE; ANR-11-LABX 0002 01) provided funding to AD for amplicon sequencing. We are grateful to the INRA MIGALE bioinformatics platform (http://migale.jouy.inra.fr) for providing computational resources.

Available from: 2021-09-08 Created: 2021-09-08 Last updated: 2023-05-23Bibliographically approved

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Niimi, Jun

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