植物MASST——由社区驱动的植物化学分类数字化
plantMASST - Community-driven chemotaxonomic digitization of plants.
作者信息
Gomes Paulo Wender P, Mannochio-Russo Helena, Schmid Robin, Zuffa Simone, Damiani Tito, Quiros-Guerrero Luis-Manuel, Caraballo-Rodríguez Andrés Mauricio, Zhao Haoqi Nina, Yang Heejung, Xing Shipei, Charron-Lamoureux Vincent, Chigumba Desnor N, Sedio Brian E, Myers Jonathan A, Allard Pierre-Marie, Harwood Thomas V, Tamayo-Castillo Giselle, Kang Kyo Bin, Defossez Emmanuel, Koolen Hector H F, da Silva Milton Nascimento, E Silva Consuelo Yumiko Yoshioka, Rasmann Sergio, Walker Tom W N, Glauser Gaëtan, Chaves-Fallas José Miguel, David Bruno, Kim Hyunwoo, Lee Kyu Hyeong, Kim Myeong Ji, Choi Won Jun, Keum Young-Sam, de Lima Emilly J S P, de Medeiros Lívia Soman, Bataglion Giovana A, Costa Emmanoel V, da Silva Felipe M A, Carvalho Alice Rhelly V, Reis José Diogo E, Pamplona Sônia, Jeong Eunah, Lee Kyungha, Kim Geum Jin, Kil Yun-Seo, Nam Joo-Won, Choi Hyukjae, Han Yoo Kyong, Park Si Young, Lee Ki Yong, Hu Changling, Dong Yilun, Sang Shengmin, Morrison Colin R, Borges Ricardo Moreira, Teixeira Andrew Magno, Lee Seo Yoon, Lee Bum Soo, Jeong Se Yun, Kim Ki Hyun, Rutz Adriano, Gaudry Arnaud, Bruelhart Edouard, Kappers Iris F, Karlova Rumyana, Meisenburg Mara, Berdaguer Roland, Tello J Sebastián, Henderson David, Cayola Leslie, Wright S Joseph, Allen David N, Anderson-Teixeira Kristina J, Baltzer Jennifer L, Lutz James A, McMahon Sean M, Parker Geoffrey G, Parker John D, Northen Trent R, Bowen Benjamin P, Pluskal Tomáš, van der Hooft Justin J J, Carver Jeremy J, Bandeira Nuno, Pullman Benjamin S, Wolfender Jean-Luc, Kersten Roland D, Wang Mingxun, Dorrestein Pieter C
机构信息
Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
出版信息
bioRxiv. 2024 May 14:2024.05.13.593988. doi: 10.1101/2024.05.13.593988.
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.
了解数十万种植物代谢物在植物界的分布是一项挑战。为解决这一问题，我们整理了来自19075种植物提取物的公开液相色谱-串联质谱（LC-MS/MS）数据，并开发了涵盖246个植物科、1469个属和2793个物种的植物MASST参考数据库。这个以分类学为重点的数据库有助于利用串联质谱（MS/MS）光谱探索植物衍生分子。该工具将有助于药物发现、生物合成、（化学）分类学以及食草动物相互作用的进化生态学研究。
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