Systematic mass-spectrometry-guided metabolic fingerprinting elucidates diversity of specialized metabolites across the Brassicaceae.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Felicia C Wolters, Tina Woldu, M Eric Schranz, Marnix H Medema, Klaas Bouwmeester, Justin J J van der Hooft
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引用次数: 0

Abstract

Background: Plants produce diverse bouquets of specialized metabolites (SMs), yet only a fraction of the vast phytochemical space hasbeen explored to date.Comparative analysis of SM profiles can reveal hotspots of biochemical novelty, while systematic profilingacross taxonomic levels does presently not cover large plant families.

Materials and methods: To study core and accessory SM profiles in the Brassicaceae plant family, we fingerprinted 14 species by Liquid-ChromatographyMass-Spectrometry (LC-MS/MS). We develop standardized experimental and computational workflows integrating in silicoannotation tools to study consensus compound class and substructure distributions of SMs. Furthermore, we investigate thecongruence of chemotaxonomy and species phylogeny across an extended panel of 17 species.

Results: Unique metabolite profiles were outstanding in Camelina sativa, Capsella rubella, and Barbarea vulgaris, with the largest uniqueterpenoid profile annotated in C. sativa, accounting for 33.5% and 55.6% in positive and negative ionization mode, respectively.Substructure motifs were found to overlap with compound class predictions, highlighted for triterpenoids in Camelinodae. Furthermore, dual-tissue chemotaxonomic clustering resembled relationships of Brassica nigra, B. oleracea, B. carinata, and B. juncea, and corresponding B and C subgenomes across tissues.

Conclusion: We anticipate that our systematic approach can serve as a blueprint for investigating biochemical diversity in other plant lineagesand can boost the characterization of plant natural product pathways.

系统质谱引导的代谢指纹图谱阐明了十字花科植物中特殊代谢物的多样性。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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