The two pathosystems Ectocarpus siliculosus - Eurychasma dicksonii (CCAP 4018/1 and 4018/4) (EEP) and Laminaria digitata - Laminariocolax tomentosoides H (LLP) were established under laboratory conditions, making them amenable for metabolomic and molecular studies (WP1). The metabolomic analysis was conducted for all the established pathosystems (EEP and LLP) and RNA-seq transcriptomics for LLP, revealing differentially expressed metabolites (DEMs) and genes (DEGs) involved in the host-pathogen interaction of 2 brown algae. The metabolomic analysis of EEP showed similar patterns of DEMs between E. siliculosus infected with Eu. dicksonii 4018/1 and 4018/4, although the relative level DEMs were significantly different between the two pathosystems. Further, 419 lipid metabolites belonging to 4 lipid categories (fatty acyls, glycerolipids, glycerophospholipids and sphingolipids), 15 main lipid classes and 35 lipid sub-classes were identified in E. siliculosus – Eu. dicksonii 408/1 pathosystem. 231 lipid molecules were significantly differentially expressed during host-pathogen interaction suggesting the upregulation of fatty acyls and sphingolipids concomitant with downregulation of phospholipids with the increase in oomycetes infection. Further, metabolite profiles of organic and aqueous extracts were obtained for L. digitata sporophytes of 2 different geographic origins co-cultivated with L. tomentosoides H. 69 metabolites were identified in the organic and 40 in the aqueous extract of LLP including 2 halogenated metabolites. The DEM profiles of co-cultivated L. digitata samples were significantly different from control algae. More than 90% of DEMs in the organic extract were downregulated in co-incubated L. digitata in both the pathosystems though their relative contents were different. On contrary, DEMs identified in the aqueous extract had significantly different expression patterns between the two LLP pathosystems. RNA-seq transcriptomic analysis was performed with L. digitata co-incubated with L. tomentosoides H for 3 and 5 days. The data was processed with Seq2Fun (www.Seq2Fun.ca) differentially expressed genes were identified using the DESeq pipeline of ExpressAnalyst (
https://www.expressanalyst.ca). 115 DEGs were identified in L. digitata co-incubated with L. tomentosoides H for 5 days as compared with 21 DEGs at day3 of co-cultivation. The co-incubation of L. digitata with L. tomentosoides put both the host alga and the endophyte alga under selection pressure to survive. The endophytic algae attempt to get attached to the host surface while the host algae initiate ROS-mediated defence response and down-regulates its metabolic photosynthetic and oxidative phosphorylation thereby switching to a defensive low energy state. There was a considerable evidence of cell wall modification, post-translational modification and autophagy induced systemic defence responses in co-cultivated L. digitata Additionally, L. digitata collected from Aberdeenshire coast were divided in 3 groups, healthy, grazed and diseased based on the morphological symptoms. The metabolites were exhaustively extracted from these algae using methanol-dichloromethane solvent system for 5 days. The obtained were successively fractionated on silica multiple times to obtain a total of 112 fractions. All the 112 fractions were tested at MEDINA, Spain during secondment for antimicrobial and anticancer activities. None of the extracts showed any promising biological activity against the tested microbial or cancer cell lines.
The results obtained in this project will be mainly disseminated as publications. We envisage to publish 4 articles based on the results obtained above. After publication, the results will be shared on the University’s PURE website, ResearchGate and social media platforms. One podcast has been made online (24 September, 2022), Seaweed the Marine Commodity highlighting the importance of seaweed industry, current challenges and seaweed disease problem. Also, the concept and objectives of the HALOSPATH project were shared on the School of Biological Sciences (University of Aberdeen) Twitter webpage (7 March, 2022) for International Women’s Day.