
This BGE case study, led by the Svardal Lab at the University of Antwerp, builds upon two recently sequenced chromosome-level reference genomes from the ERGA pilot project. The project involves multiple European research institutions, including the Marine Biology Station Piran, the University of Graz, and the Natural History Museum Rijeka. It focuses on the widespread Triplefin Blenny (Tripterygion tripteronotum) and the vulnerable brackish-to-freshwater Adriatic Dwarf Goby (Knipowitschia panizzae). While high-quality genomes for both species have been sequenced, RNA sequencing is the next crucial step to complete the genomic work and support conservation efforts.
Triplefin blenny - Photos by Sandra Bracun.
The Triplefin Blenny (Tripterygion tripteronotum) is an ideal model for speciation studies due to its isolation by Adriatic Sea currents and its role in research on vision-related behavior for predator avoidance. In contrast, the Adriatic Dwarf Goby (Knipowitschia panizzae) and its relatives face significant conservation challenges due to taxonomic uncertainties, habitat loss, and climate change. Whole-genome re-sequencing, leveraging high-resolution genomic resources, will clarify taxonomy and population distribution, providing essential data for conservation.
Sampling the Adriatic Dwarf Goby in the estuaries of Koper, Slovenia. ©Maximilian Wagner
As we gather more information, understanding the genomic basis of adaptation is essential for comparing and elucidating biodiversity patterns. By sequencing the transcriptomes of both species, we will not only complete the genomic dataset but also provide unprecedented insights into the genomic pathways that drive and sustain biodiversity in these species. This project also highlights the ERGA community’s expertise in high-quality genome production. We extend our gratitude to those involved, including Dr. Marcelo Kovacic, Dr. Domen Trkov, Dr. Maximilian Wagner, and Henrique Leitão.
About the Authors
At the Svardal lab we investigate the development and changes in Earth's natural diversity through genome sequencing and mathematical modeling. By studying genomic variations, we gain essential insights into evolutionary history, population connections, demographic patterns, and adaptations.
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