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DOI: 10.1055/s-0039-3399825
Comprehensive study of foliar endophyte communities in a rainforest palm: a model for deciphering host-microbe interactions and exploring metabolite chemo-diversity
Publication History
Publication Date:
20 December 2019 (online)
Endophytic microorganisms asymptomatically colonise the internal tissues of plants and constitute the “plant microbiome” [1]. They notably seem to impact the way their plant host interact with its environment. As part of the Swiss-French SECIL project (Study of Endophyte Communities In a Leaf), we sought to investigate the chemodiversity, bioactivity and host-microbe interactions of foliar endophytic fungal communities. The host model Astrocaryum sciophilum is an Amazonian understorey palm hosting a diverse fungal community. The aim of the present study is to assess the co-occurrence of metabolites between the host plant and its fungal community to determine the ecological relevance of given strains. We thus performed an in-depth metabolomic investigation of the leaf and its endophytes. 15 strains isolated from the leaves were cultivated and extracted. In parallel, the leaves were extracted and large-scale fractionated for metabolite enrichment by preparative chromatography. To allow for comparison between the plant and the fungal metabolomes, the HRMS/MS data of all the extracts were organised into an informative molecular network (MN) [2] that was annotated against experimental and in silico natural product spectral databases. This provided a detailed view of the chemical composition of the metabolomes [3]. Preliminary results show that 25 % of the features are shared by the host plant and the endophytes and common ecologically relevant chemical families such as oxylipins derivaives could be highlighted. The potential for MN to study metabolic element contributions in these interactions will be discussed.
This work has benefited from an ANR-SNF grant (SECIL,ref ANR-15-CE21-0016,SNF N° 310030E-164289)
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References
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- 2 Allard P-M. et al. Integration of molecular networking and in-silico MS/MS fragmentation for natural products dereplication. Anal Chem 2016; 88 (06) : 3317-23
- 3 Allard P-M. et al. Bioactive natural products prioritization using massive multi-informational molecular networks. ACS Chem Biol 2017; 12 (10) : 2644-2651