Development of the first antibody targeting vitellogenin using the Palinurus elephas mRNA molecular pathway

Vitellogenin is an essential protein involved in ovary maturation in many animals. Detection of this protein correlated with reproductive capacity may be important if carried out on marine organisms such as the red spiny lobster Palinurus elephas, a crustacean economically important crop from wild fish catches. Moreover, in recent years, vitellogenin has assumed an important role as a possible biomarker of marine environmental pollution, as its expression levels can be influenced by the presence of similar oestrogen pollutants and affect the reproductive sphere of marine organisms such as crustaceans. The P. elephas vitellogenin protein and its coding gene have never been isolated, so there is little information about its presence in this lobster. The aim of the present study was to develop a molecular strategy to create, for the first time, an antibody for the detection and quantization of vitellogenin in P. elephas.

Managing Marine Environmental Pollution using Artificial Intelligence

The marine environment has deteriorated to an extent that it has begun to impact human health and the planet itself. The primary cause of this deterioration as identified are, an increasing population, the industrial revolution and the increased use of fossil fuels. While the damage done to the environment cannot be undone, the impact can be lessened by better understanding the ocean and monitoring future pollution using technology. Such an effort will help achieve sustainability as laid out by the Sustainable Development Goals 2030 of the United Nations. The article aims to provide an insight into one such technology, namely ‘Artificial Intelligence (AI)’, being developed to understand and monitor the marine pollution. In doing so the article will discuss the emerging opportunities and risks associated with the use of AI in managing marine environmental pollution through sustainability. To strengthen the argument, use-cases of AI in the marine environment and their scalability are discussed.