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Genes of filter-feeding species as a potential toolkit for monitoring microplastic impacts

Aquatic Toxicology 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Marta Pilar Ortiz-Moriano, Eva García‐Vázquez, Gonzalo Machado‐Schiaffino

Summary

Researchers developed a genetic toolkit using candidate genes from filter-feeding marine species to monitor the biological impacts of microplastic exposure in natural environments. They identified six genes across nine species that show measurable expression changes when organisms encounter microplastics. The study offers a practical molecular approach for tracking how microplastic pollution is actually affecting wild marine populations.

Microplastics (MPs) are ubiquitous in the marine environment and impact organisms at multiple levels. Understanding their actual effects on wild populations is urgently needed. This study develops a toolkit to monitor changes in gene expression induced by MPs in natural environments, focusing on filter-feeding and bioindicator species from diverse ecological and taxonomic groups. Six candidate genes -Caspase, HSP70, HSP90, PK, SOD, and VTG- and nine filter-feeding species -two branchiopods, one copepod, five bivalves and one fish- were selected based on differential expression in response to MPs exposure (mainly the widely used polystyrene and polyethylene polymers) reported in over 30 publications. Some genes are particularly determinant, such as HSP70 and HSP90 (key to managing a wide range of stressors) and SOD (critical for addressing oxidative stress), as they are more directly related to stress. PK is related to carbohydrate metabolism (alterations in energy metabolism); VTG is associated with reproductive problems; Caspase mediates in apoptosis. Each gene in the toolkit plays a role depending on the type of stress assessed, and their combination provides a comprehensive understanding of the impacts of MPs. Differences in gene expressions between species and the exposure thresholds were found. These genes were examined in various scenarios with different types, concentrations, and sizes of MPs, alone or with other stressors. The toolkit offers significant advantages, allowing a comprehensive study of the impact of MPs and focusing on filtering bioindicator species, thus enabling pollution assessment and long-term monitoring. It will outperform traditional methods like tissue counts of MPs where only physical damage is visible, providing a deeper understanding. To our knowledge, this is the first toolkit of its kind.

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