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[Preprint]. 2024 May 14:2024.05.13.593988.
doi: 10.1101/2024.05.13.593988.

plantMASST - Community-driven chemotaxonomic digitization of plants

Paulo Wender P Gomes  1   2 Helena Mannochio-Russo  1   2 Robin Schmid  1   2   3 Simone Zuffa  1   2 Tito Damiani  1   2   3 Luis-Manuel Quiros-Guerrero  4   5 Andrés Mauricio Caraballo-Rodríguez  1   2 Haoqi Nina Zhao  1   2 Heejung Yang  1   2   6 Shipei Xing  1   2 Vincent Charron-Lamoureux  1   2 Desnor N Chigumba  7   8 Brian E Sedio  9   10 Jonathan A Myers  11 Pierre-Marie Allard  12 Thomas V Harwood  13 Giselle Tamayo-Castillo  14   15 Kyo Bin Kang  16 Emmanuel Defossez  17   18 Hector H F Koolen  19 Milton Nascimento da Silva  20   21 Consuelo Yumiko Yoshioka E Silva  20   22 Sergio Rasmann  17 Tom W N Walker  17 Gaëtan Glauser  23 José Miguel Chaves-Fallas  14   24 Bruno David  25 Hyunwoo Kim  26 Kyu Hyeong Lee  26 Myeong Ji Kim  26 Won Jun Choi  26 Young-Sam Keum  26 Emilly J S P de Lima  19 Lívia Soman de Medeiros  27   28 Giovana A Bataglion  29 Emmanoel V Costa  29 Felipe M A da Silva  29 Alice Rhelly V Carvalho  20   22 José Diogo E Reis  20   21 Sônia Pamplona  20   21 Eunah Jeong  16 Kyungha Lee  16 Geum Jin Kim  30   31 Yun-Seo Kil  32   33 Joo-Won Nam  32   34 Hyukjae Choi  32   31   34 Yoo Kyong Han  35 Si Young Park  35 Ki Yong Lee  35 Changling Hu  36 Yilun Dong  36 Shengmin Sang  36 Colin R Morrison  9   37 Ricardo Moreira Borges  38 Andrew Magno Teixeira  38 Seo Yoon Lee  39 Bum Soo Lee  39 Se Yun Jeong  39 Ki Hyun Kim  39 Adriano Rutz  4   5   40 Arnaud Gaudry  4   5 Edouard Bruelhart  12 Iris F Kappers  41 Rumyana Karlova  41 Mara Meisenburg  41 Roland Berdaguer  41 J Sebastián Tello  42 David Henderson  11   43 Leslie Cayola  44 S Joseph Wright  45 David N Allen  46 Kristina J Anderson-Teixeira  47 Jennifer L Baltzer  48 James A Lutz  49 Sean M McMahon  50   51 Geoffrey G Parker  52 John D Parker  52 Trent R Northen  53 Benjamin P Bowen  53 Tomáš Pluskal  3 Justin J J van der Hooft  54   55 Jeremy J Carver  56 Nuno Bandeira  1   2 Benjamin S Pullman  56 Jean-Luc Wolfender  4   5 Roland D Kersten  7 Mingxun Wang  57 Pieter C Dorrestein  1   2
Affiliations

plantMASST - Community-driven chemotaxonomic digitization of plants

Paulo Wender P Gomes et al. bioRxiv. .

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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Figures

Figure 1.
Figure 1.. Schematic overview of plantMASST infrastructure and output.
a) The creation of the plantMASST reference database involved utilizing 19,075 community-curated LC-MS/MS data and knowledge from MassIVE, GNPS, and ReDU. b) Example of plantMASST output interpretation of a specialized metabolite known to be produced by specific plants, moroidin (the molecule was confirmed using standard, Supplementary Figure S4). Pie charts display the percentage of matches within that taxonomic level detected against the plantMASST database. Blue indicates the percentage of samples with matches and yellow without matches. The reference MS/MS spectrum for moroidin (CCMSLIB00005435899) is available in the GNPS library. c) Output of piperlongumine (CCMSLIB00010117596) search. Mainly produced by Piper species, the molecule was also confirmed, for the first time, to be present in Gymnotheca chinensis and Clematis apiifolia leaf extracts via MS/MS and retention time matching to its commercial standard. In the mirror plots, the spectrum on the top is relative to piperlongumine, and the one on the bottom is a match to plantMASST. More tissues were also matched and the chromatograms can be found in Supplementary Figure S5.
Figure 2.
Figure 2.. Use of plantMASST in the search for neuroactives in plants and plant-derived small molecules in public data sets of fecal samples of humans.
a) Taxonomic distribution of neuroactive compounds across plant families. b) Heatmap showing the distribution of the nine neuroactives in 156 plant species. The bar plot highlights the sum of the percentage (%) of matches to serotonin/dopamine among the botanical families. c) Percentages of metabolites matched to plantMASST in a human publicly available diet-related dataset (GNPS/MassIVE: MSV000086989), containing fecal samples from vegans (n = 27) and omnivores (n = 27). d) Percentages of metabolites matched to plantMASST in a human diet-related dataset (GNPS/MassIVE: MSV000093005) containing fecal samples from patients consuming either an American (n = 27) or Mediterranean (n = 82) diet. Boxplots represent first (lower), median, and third (upper) quartiles. Upper and lower whiskers extend to the closest value to +/− 1.5 * interquartile range (IQR). The independent two-sided t-test was applied in Fig 2c, while the two-sided Mann-Whitney-Wilcoxon test was applied in Fig 2d, and statistical significance was observed for p < 0.05. Food icons were obtained from Bioicons.com.

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