Pairing omics to decode the diversity of plant specialized metabolism.

Autor: Wolters FC; Bioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands; Biosystematics Group, Wageningen University & Research, Wageningen, the Netherlands., Del Pup E; Bioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands. Electronic address: https://twitter.com/elena_delpup., Singh KS; Bioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands; Plant-Microbe Interactions, Institute of Environmental Biology, Utrecht University, the Netherlands; Faculty of Environment, Science and Economy, University of Exeter, TR10 9FE Penryn Cornwall UK; Plant Functional Genomics Group, Brightlands Future Farming Institute, Faculty of Science and Engineering, Maastricht University 5928 SX Venlo, the Netherlands. Electronic address: https://twitter.com/Kumar_S_Singh., Bouwmeester K; Biosystematics Group, Wageningen University & Research, Wageningen, the Netherlands. Electronic address: https://twitter.com/K_Bouwmeester., Schranz ME; Biosystematics Group, Wageningen University & Research, Wageningen, the Netherlands., van der Hooft JJJ; Bioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands. Electronic address: justin.vanderhooft@wur.nl., Medema MH; Bioinformatics Group, Wageningen University & Research, Wageningen, the Netherlands. Electronic address: marnix.medema@wur.nl.
Jazyk: angličtina
Zdroj: Current opinion in plant biology [Curr Opin Plant Biol] 2024 Nov 10; Vol. 82, pp. 102657. Date of Electronic Publication: 2024 Nov 10.
DOI: 10.1016/j.pbi.2024.102657
Abstrakt: Plants have evolved complex bouquets of specialized natural products that are utilized in medicine, agriculture, and industry. Untargeted natural product discovery has benefitted from growing plant omics data resources. Yet, plant genome complexity limits the identification and curation of biosynthetic pathways via single omics. Pairing multi-omics types within experiments provides multiple layers of evidence for biosynthetic pathway mining. The extraction of paired biological information facilitates connecting genes to transcripts and metabolites, especially when captured across time points, conditions and chemotypes. Experimental design requires specific adaptations to enable effective paired-omics analysis. Ultimately, metadata standards are required to support the integration of paired and unpaired public datasets and to accelerate collaborative efforts for natural product discovery in the plant research community.
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JJJvdH is member of the scientific advisory board of NAICONS Srl., Milano, Italy, and consults for Corteva Agriscience, Indianapolis, IN, USA. MHM is a member of the scientific advisory board of Hexagon Bio.
(Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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