This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

This article belongs to the Special Issue Genetic Approach and Data Mining in Discovery of Marine Natural Products.

The RFI “Food For Tomorrow” is acknowledged for providing N.F. funding (post-doctoral position, project Bluedimary).

This research was partly funded by the research project “Centre for the study and sustainable exploitation of Marine Biological Resources” in the framework of the National Roadmap for Research Infrastructures, funded by the operational program “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020) and co-financed by Greece and the European Union,

The Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT) are acknowledged for providing funding to F.V. (project RADIO),

The Boğaziçi University and The Scientific and Technological Research Council of Turkey (TÜBİTAK) grants are acknowledged for funding I.K.,

This publication benefited from the Horizon 2020 Research and Innovation Programme GHaNA (The Genus Haslea, New marine resources for blue biotechnology and Aquaculture) under Grant Agreement (JLM),

O.D. and N.D. were partly supported by the project “Study of Fundamental Physical, Physiological, Biochemical, Reproductive, Population and Behavioural Characteristics of Marine Aquatic Organisms” at the T. I. Vyazemsky Karadag Scientific Station—Nature Reserve of the Russian Academy of Science,