Periodic Reporting for period 1 - EXTRIDIM (Exploring Triterpene Diversity in Monocots)
Reporting period: 2020-09-01 to 2022-08-31
By combining data from a weighted gene co-expression network analysis (WGCNA), and mining for gene clusters, we identified 6 candidate BGCs, on which we subsequently focused on. For our experimental work, we mainly utilized a transient expression system in Nicotiana benthamiana (agroinfiltration) as means of identifying enzymatic activity for our candidate genes. This system proved to be very useful, eventually allowing us to assign enzymatic activity of >20 enzymes. Analysis of gene expression patterns of the clustered genes showed that they are induced by pathogen infections, suggesting defense-related roles for the metabolites which they collectively produce.
Some of the findings generated in EXTRIDIM were published in the article 'pathogen-induced biosynthetic pathways encode defense-related molecules in bread wheat' (Polturak et al., PNAS, 2022). Additional findings from the project are anticipated to be published in the near future.
We used a genomics-driven approach to uncover previously unknown defense-related metabolism in wheat. Our research has led to the identification of several pathogen-induced metabolic pathways that produce a variety of previously unknown defense-related molecules, including triterpenes, diterpenes and flavonoids.
These pathways are encoded by a number of biosynthetic gene clusters that share a common regulatory network and together form part of an orchestrated defense response. Our findings advance current understanding of chemical defenses in wheat and may open new avenues for enhancing disease resistance in this agriculturally important crop in the future.