In a biodiverse ecosystem, it’s often assumed that plants have safety in numbers—that a mix of species will confuse pests and dilute disease pressure, allowing individual plants to save energy on defences and focus on growth. But is this ecological truism always the case? A recent study from the long-running Jena Experiment uses untargeted metabolomics and SIRIUS for feature annotation and compound class prediction. They found that for many plants in a diverse community it is less about relaxing their defences and more about adapting to intense competition for light and nutrients.

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L. Bassi et al. New Phytol. (2025) doi: 10.1111/nph.20434

As we prepare for longer human missions beyond Earth, understanding the invisible ecosystems of space habitats has become critical for astronaut health. The International Space Station (ISS) is not just a home and laboratory—it is also a closed microbial and chemical environment unlike anything on Earth. This study mapped the ISS microbiome and metabolome in unprecedented detail, uncovering its vast chemical “dark matter” using SIRIUS.

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R. A. Salido et al. Cell (2025) doi: 10.1016/j.cell.2025.01.039

Our recent study co-authored by researchers at Bright Giant, FSU Jena, Leiden University and Oncode Institute introduces a major leap forward in affinity selection screening for early drug discovery: Self-Encoded Libraries. Our approach uses advanced mass spectrometry to screen hundreds of thousands of small molecules in a single experiment, bypassing the significant limitations of traditional high-throughput screening as well as affinity selection with barcoded libraries. It allows drug discovery teams to identify high-affinity drug candidates faster, more affordably, and against targets previously inaccessible to common screening methods.

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E. van der Nol et al. Nat. Commun. (2025) doi: 10.1038/s41467-025-65282-1

Human milk is the ideal source of nutrition for infants, but growing concerns exist about the presence of chemical contaminants that can find their way into it. For years, scientists have relied on targeted analysis, a method that can only find what they are already looking for. In this non-targeted approach utilizing SIRIUS, researcher successfully identify common and previously unreported chemical contaminants and gain a more comprehensive understanding of the chemical exposures mothers and infants face.

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Z. H. Chi et al. Chemosphere (2025) doi: 10.1016/j.chemosphere.2025.144154

Untargeted mass spectrometry is a powerful tool for analyzing the immense chemical complexity of natural environments. However, interpreting such large datasets remains a significant challenge. To overcome this, researchers have developed an innovative approach using SIRIUS that prioritizes chemical profiling over exhaustive identification. This method allows for more effective comparisons of (micro-)biomes, providing deeper insights into biochemical diversity across different environments.

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P. Peets et al. bioRxiv (2025) doi: 10.1101/2025.01.22.634253

Agriculture has always been a dance with nature, requiring farmers to constantly adapt to changing conditions. One particularly promising method that has emerged over recent decades is push-pull technology, a strategy that uses nature’s own defenses to protect crops and boost yields. Using SIRIUS, researchers uncovered metabolites in push-pull maize that enhance its natural defense against pests.

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J. Lang et al. ACS Agric. Sci. Technol. (2024) doi: 10.1021/acsagscitech.4c00386

In a world where we’re becoming increasingly conscious of what we consume, understanding the potential presence of unexpected extractables and leachables in our food and drinks is paramount. Alcoholic beverages are of particular concern due to their increased affinity and extended storage periods. A non-targeted approach to analysis is essential for uncovering both known and unknown contaminants in our drinks. By analysing fragmentation patterns, SIRIUS predicts chemical structures of unknowns to identify unexpected contaminants and ensure safety of our food.

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N. He et al. Food Control (2024) doi: 10.1016/j.foodcont.2024.110424

Thawing permafrost, caused by climate change, releases stored carbon into the atmosphere, accelerating global warming. The enzyme latch hypothesis suggests that low-oxygen conditions in wetlands slow down enzymatic polyphenol degradation and carbon release. But are oxygen-dependent phenol oxidases really the only enzymes that microbial communities have in their arsenal? Or should we perhaps take a closer (metatranscriptomic and metabolomic) look at the microbially catalysed carbon cycle?

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B. B. McGivern et al. Nat. Microbiol. (2024) doi: 10.1038/s41564-024-01691-0

Ketamine is known for its dual role as an anesthetic and an emerging antidepressant. Despite its long-standing clinical use, the metabolic pathways and pharmacokinetics of ketamine remain poorly understood. A study of ketamine metabolism in the pig brain using SIRIUS provides valuable insights into the distribution of ketamine and its metabolites in different areas of the brain.

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T. Vallianatou et al. ACS Chem. Neurosci. (2024) doi: 10.1021/acschemneuro.4c00051