Marine heatwaves (excessive seawater temperature increases) pose high risk to bivalves’ health and farming. The seawater temperature increase is responsible for various pathogen population expansions causing intense stress to marine organisms. Since the majority of knowledge so far derives from laboratory experiments, it is crucial to investigate stress responses in field conditions in order to understand the mechanisms leading to bivalves’ mortality events after exposure to temperature extremes. Thus, we evaluated the pathophysiological response of the Mediterranean mussel Mytilus galloprovincialis originating from mortality events enhanced by intense heatwaves in Thermaikos Gulf, north Greece, along with Marteilia refrigens infection. Mussels that have been exposed to high environmental stressors such as high temperature were examined for various molecular and biochemical markers, such as hsp70, bax, bcl-2, irak4 and traf6 gene expression, as well as the enzymatic activity of the hsp70, hsp90, bax, bcl-2, cleaved caspases, TNFa and ll-6 proteins. Furthermore, histopathology and molecular positivity to Marteilia sp. were addressed and correlated with the gene expression results. Our findings elucidate the molecular and biochemical pathways leading to mortality in farmed mussels in the context of Marteilia infection, which according to the results is multiplied by heatwaves causing a significant increase in pathophysiological markers.

The discovery of drug–target interactions (DTIs) is a very promising area of research with great potential. The accurate identification of reliable interactions among drugs and proteins via computational methods, which typically leverage heterogeneous information retrieved from diverse data sources, can boost the development of effective pharmaceuticals. Although random walk and matrix factorization techniques are widely used in DTI prediction, they have several limitations. Random walk-based embedding generation is usually conducted in an unsupervised manner, while the linear similarity combination in matrix factorization distorts individual insights offered by different views. To tackle these issues, we take a multi-layered network approach to handle diverse drug and target similarities, and propose a novel optimization framework, called Multiple similarity DeepWalk-based Matrix Factorization (MDMF), for DTI prediction. The framework unifies embedding generation and interaction prediction, learning vector representations of drugs and targets that not only retain higher order proximity across all hyper-layers and layer-specific local invariance, but also approximate the interactions with their inner product. Furthermore, we develop an ensemble method (MDMF2A) that integrates two instantiations of the MDMF model, optimizing the area under the precision-recall curve (AUPR) and the area under the receiver operating characteristic curve (AUC), respectively. The empirical study on real-world DTI datasets shows that our method achieves statistically significant improvement over current state-of-the-art approaches in four different settings. Moreover, the validation of highly ranked non-interacting pairs also demonstrates the potential of MDMF2A to discover novel DTIs.

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Freshwater crayfish are among the most important aquatic inhabitants in terms of ecosystem integrity retention. Although Astacus astacus and Pontastacus leptodactylus are characterized by the IUCN as vulnerable and least concern, respectively, Greek official data and local authorities report them as highly endangered or threatened at local levels. Therefore, all freshwater crayfishing activities from the main producing areas in Greece have been forbidden for 1 year since August 2021. Since aquaculture in Greece remains primarily focused on marine freshwater fish, freshwater crayfish aquaculture establishment is expected to provide a promising alternative for regional economic development and a solution to unemployment. Under this prism, the present study represents a comprehensive review of the most important features related to biology, distribution, aquaculture methods, economic importance and research progress considering both stocking perspectives and conservation strategies of those two crayfish species. Recent measurements by local authorities for the protection of the freshwater crayfish populations are described and evaluated. Freshwater crayfish aquaculture is expected to be beneficial for Greece, a country that covers all requirements for this sector. The updated information regarding these two species, summarizing the existing literature towards aquaculture conditions, poses suggestions and presents future perspectives on this field.