plantMASST - Community-driven chemotaxonomic digitization of plants

Gomes, P. W. P.; Mannochio-Russo, H.; Schmid, R.; Zuffa, S.; Damiani, T.; Quiros-Guerrero, L.-M.; Caraballo-Rodriguez, A. M.; Zhao, H. N.; Yang, H.; Xing, S.; Charron-Lamoureux, V.; Chigumba, D. N.; Sedio, B. E.; Myers, J. A.; Allard, P.-M.; Harwood, T. V.; Tamayo-Castillo, G.; Kang, K. B.; Defossez, E.; Koolen, H. H. F.; da Silva, M. N.; e Silva, C. Y. Y.; Rasmann, S.; Walker, T. W. N.; Glauser, G.; Chaves-Fallas, J. M.; David, B.; Kim, H.; Lee, K. H.; Kim, M. J.; Choi, W. J.; Keum, Y.-S.; de Lima, E. J. S. P.; de Medeiros, L. S.; Bataglion, G. A.; Costa, E. V.; da Silva, F. M. A.; Carvalho,

doi:10.1101/2024.05.13.593988

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bioRxiv · 10.1101/2024.05.13.593988

plantMASST - Community-driven chemotaxonomic digitization of plants

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Abstract

Understanding the distribution of hundreds of thousands of plant metabolites across the plant kingdom presents a challenge. To address this, we curated publicly available LC-MS/MS data from 19,075 plant extracts and developed the plantMASST reference database encompassing 246 botanical families, 1,469 genera, and 2,793 species. This taxonomically focused database facilitates the exploration of plant-derived molecules using tandem mass spectrometry (MS/MS) spectra. This tool will aid in drug discovery, biosynthesis, (chemo)taxonomy, and the evolutionary ecology of herbivore interactions.

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Gomes, P. W. P., Mannochio-Russo, H., Schmid, R., Zuffa, S., Damiani, T., Quiros-Guerrero, L.-M., Caraballo-Rodriguez, A. M., Zhao, H. N., Yang, H., Xing, S., Charron-Lamoureux, V., Chigumba, D. N., Sedio, B. E., Myers, J. A., Allard, P.-M., Harwood, T. V., Tamayo-Castillo, G., Kang, K. B., Defossez, E., Koolen, H. H. F., da Silva, M. N., e Silva, C. Y. Y., Rasmann, S., Walker, T. W. N., Glauser, G., Chaves-Fallas, J. M., David, B., Kim, H., Lee, K. H., Kim, M. J., Choi, W. J., Keum, Y.-S., de Lima, E. J. S. P., de Medeiros, L. S., Bataglion, G. A., Costa, E. V., da Silva, F. M. A., Carvalho,. 2024-05-15. plantMASST - Community-driven chemotaxonomic digitization of plants. https://doi.org/10.1101/2024.05.13.593988

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