Terpenoid and lipid profiles vary in different Phytophthora cactorum – strawberry interactions

DOI

Specialized metabolites are essential components in plant defence systems, serving as signalling molecules and chemical weapons against pathogens. The manipulation of plant defence metabolome or metabolites can thus be an important virulence strategy for pathogens. Because of their central role, metabolites can give valuable insights into plant-pathogen interactions. Here, we have conducted nontargeted metabolite profiling with UPLC-ESI-qTOF-MS to investigate the metabolic changes that have taken place in the crown tissue of Fragaria vesca L. (woodland strawberry) and Fragaria × ananassa (Weston) Duchesne ex Rozier (garden strawberry) during 48 hours after Phytophthora cactorum challenge. Two P. cactorum isolates were compared: Pc407 is highly virulent to F. × ananassa and causes crown rot, whereas Pc440 is mildly virulent. In total, 45 metabolites differentially accumulated between the treatment groups were tentatively identified. Triterpenoids and various lipid compounds were highly represented. The levels of several triterpenoids increased upon inoculation, some of them showing distinct accumulation patterns in different interactions. Triterpenoids could either inhibit or stimulate P. cactorum growth and, therefore, triterpenoid profiles might have significant impact on disease progression. Of the lipid compounds, lysophospholipids, linoleic acid and linolenic acid were highly accumulated in the most compatible Pc407 - F. × ananassa interaction. As lysophospholipids promote cell death and have been linked to susceptibility, these compounds might be involved in the pathogenesis of crown rot disease. This metabolite analysis revealed potential factors contributing to the outcome of P. cactorum – strawberry interactions. The information is highly valuable, as it can help to find new breeding strategies and new solutions to control P. cactorum in strawberry.

All_features.xlsx contains LC-MS metabolomics data of all the detected molecular features within the analyzed samples. Heatmap_metabolites.xlsx contains the LC-MS metabolomics data and statistics results of identified metabolites and unkown molecular features contained in the heatmap (Figure S2) of the corresponding published article (https://doi.org/10.1016/j.phytochem.2021.112820).

Identifier
DOI https://doi.org/10.23728/b2share.026e984896894c48a21218268eb2fc51
Source https://b2share.eudat.eu/records/026e984896894c48a21218268eb2fc51
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/026e984896894c48a21218268eb2fc51
Provenance
Creator Toljamo, Anna; Koistinen, Ville; Hanhineva, Kati; Kärenlampi, Sirpa; Kokko, Harri
Publisher EUDAT B2SHARE
Publication Year 2021
Rights Creative Commons Attribution-ShareAlike (CC-BY-SA); info:eu-repo/semantics/openAccess
OpenAccess true
Contact ville.m.koistinen(at)uef.fi
Representation
Format xlsx
Size 2.4 MB; 2 files
Discipline 3.1.3 → Biology → Biochemistry