For decades, Artificial Intelligence (AI) was cast as a background tool—an efficient processor of data, a passive observer assisting scientists in making sense of complexity [1]. Sustainability, by contrast, was championed as a fundamentally human pursuit, tied to ethical choices and political will. Yet this dichotomy is now dissolving. Emerging applications suggest that AI is not simply supporting sustainability but coevolving with it, offering dynamic, context-sensitive strategies for navigating the environmental and biological crises of our time.

Paracoccus denitrificans is a metabolically adaptable prokaryote equipped with diverse oxidoreductase enzymes that enable persistence across soil, marine, and industrial environments. This study reviews key reductase enzyme families, including flavin, iron, quinone, and chromate/chromate-related reductases, emphasizing their biochemical roles and biotechnological potential. Flavin reductases catalyze coupled electron transfer, reducing both NAD(P)H to its active nicotinamide form and FAD to FADH₂.

Advances in next-generation sequencing (NGS) technologies have revolutionized our knowledge of the transcriptome, leading to the discovery of multiple classes of non-coding RNAs (ncRNAs) across all kingdoms of life. While coding RNA mainly serves as a template for synthesis of protein, the ncRNAs carry out diverse regulatory functions and modulate gene expression at multiple stages mainly at epigenetic, transcriptional, post-transcriptional, and translational levels.