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Unravelling the genetic pattern of seagrass (Posidonia oceanica) meadows in the Eastern Mediterranean Sea
Litsi-Mizan, V.; Garcia-Escudero, C.A.; Tsigenopoulos, C.S.; Tsiaras, K.; Gerakaris, V.; Apostolaki, E.T. (2024). Unravelling the genetic pattern of seagrass (Posidonia oceanica) meadows in the Eastern Mediterranean Sea. Biodivers. Conserv. 33(1): 257-280. https://dx.doi.org/10.1007/s10531-023-02746-0
In: Biodiversity and Conservation. Kluwer Academic Publishers/Springer: London. ISSN 0960-3115; e-ISSN 1572-9710, more
Peer reviewed article  
Available in  Authors 
Keywords
    Conservation
    Genetic diversity
    Population characteristics > Population structure
    Restoration
    Marine/Coastal
Authors  Top 
  • Litsi-Mizan, V.
  • Garcia-Escudero, C.A.
  • Tsigenopoulos, C.S., more
  • Tsiaras, K.
  • Gerakaris, V.
  • Apostolaki, E.T.
Abstract
    The genetic traits of seagrass populations are a crucial aspect of their ecology and evolution, influencing their adaptability and resilience. Here, we studied the genetic diversity, population structure, and connectivity of eighteen Posidonia oceanica meadows extending in the Eastern Mediterranean Sea (Aegean, Ionian and Cretan Seas, Greece), combining twelve microsatellite markers and Lagrangian particle drift modelling. Our findings revealed a strong genetic differentiation between the Ionian Sea and the Aegean and Cretan Seas, suggesting limited genetic exchange between these two groups. High gene flow was observed within the meadows of the Aegean and Cretan Seas, indicating a well-connected group of populations. Notably, populations of the North Aegean Sea displayed the lowest genetic diversity and the highest clonality compared to the rest of the populations. The lack of substantial oceanographic connectivity between Ionian and Aegean/Cretan Sea populations supported their genetic differentiation. However, the Lagrangian simulations did not fully support gene flow patterns in the Aegean Sea, suggesting that in addition to contemporary processes, historical events may have contributed to the formation of the observed genetic pattern. The genetic information provided here can be incorporated into management strategies aimed at identifying suitable areas as management units in conservation efforts and determining meadows that may serve as donor sites in transplantation initiatives.
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