SOURCE-LINKED INTELLIGENCE
Spatiotemporal dynamics of secondary metabolism in the ocean microbiome
ics and anti-cancer drugs. Marine microbes are prolific sources of these compounds. Until now, the prospection of biosynthetic gene clusters has primarily focused on cataloguing SM diversity by using machine learning (ML) tools, with little regard to their importance for the microbial dynamics. Microbes benefit from SM by providing a chemical language for inter-specific communication and improving environmental interaction. The dynamics and evolutionary aspects of this interaction, as well as its effects on spatiotemporal microbial dynamics, have not been studied due to a lack of suitable datasets. To elucidate this, the SPADYN-SM project aims to investigate the spatiotemporal dynamics of SM in the ocean microbiome using an innovative genome-resolved work frame to verify diversity, mutations, selection pressures, and effects on environmental variables in a collection of metagenomes from monthly marine samples collected by the host and collaborators over a 7-years period. Dr. Santos will combine his unique expertise in biochemistry, molecular biology, bioinformatics, and ML with the
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- recordType
- award
- status
- TERMINATED
- region
- EU
- value
- 165312.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.