Toxins

In the original publication [...]

Animal venoms are valuable resources for drug discovery. They offer a wide variety of bioactive molecules with significant biotechnological potential. Venom composition shows extensive diversity not only between and within species, but also across the lifetime of an individual. This natural variation further enhances the biotechnological potential of venoms, supporting the development and optimization of venom-derived drugs. Despite numerous studies highlighting the variability of venom, many lack a coherent framework to explain the underlying causes of this diversity. In this review, we explore the molecular and evolutionary mechanisms driving variations in venom composition and the evolution of venom systems, including gene regulation, point mutations, gene duplication events, modulation by miRNAs, alternative splicing and post-translational modifications as driving forces of venom component diversity. We also discuss the critical role of omics technologies and comparative studies in advancing our understanding of the diversity of venom and their contribution to the identification, development, and refinement of venom-based product candidates. The aspects reviewed here are relevant for future omics study designs to advance venom research and biodiscovery.

The increasing occurrence of harmful cyanobacterial blooms in freshwater ecosystems poses important risks to aquatic organisms and human health due to the production of bioactive secondary metabolites such as cyanopeptides. While analytical methods for microcystins are well developed, there is a notable lack of validated protocols for the broader spectrum of cyanopeptides in biota. This study presents the development and validation of a robust UHPLC-QqQ-MS method for the simultaneous extraction, cleanup, and quantification of 27 cyanopeptides, including microcystins, anabaenopeptins, microginins, aeruginosins, aeruginoguanidine, and nodularin, in fish muscle, liver, and whole fish tissues. Comprehensive optimization was conducted to minimize matrix effects and analyte losses during every step of sample preparation. The method demonstrated generally high recoveries (28–98%), good precision (RSD < 20%), and sensitivity, with MQLs below 0.5 ng g⁻¹ for most analytes. Microginins posed analytical challenges due to their amphiphilic structure, which contributed to significant losses during filtration and extraction; the reasoning is discussed. Application to wild fish collected after a mass mortality event revealed no detectable cyanopeptide contamination but confirmed the method’s suitability for comprehensive detection. This represents an important advancement in cyanopeptide analysis, offering a valuable tool for environmental risk assessment and food safety evaluation related to harmful cyanobacteria.