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A metabolomics and transcriptomics resource for identifying candidate genes in the biosynthesis of specialised metabolites in Populus tremula
Umeå University, Faculty of Science and Technology, Department of Plant Physiology. Umeå University, Faculty of Science and Technology, Umeå Plant Science Centre (UPSC).
Umeå University, Faculty of Science and Technology, Department of Plant Physiology. Umeå University, Faculty of Science and Technology, Umeå Plant Science Centre (UPSC).ORCID iD: 0000-0001-7979-8876
Umeå University, Faculty of Science and Technology, Department of Plant Physiology. Umeå University, Faculty of Science and Technology, Umeå Plant Science Centre (UPSC).ORCID iD: 0000-0002-5249-604X
Umeå University, Faculty of Science and Technology, Department of Plant Physiology. Umeå University, Faculty of Science and Technology, Umeå Plant Science Centre (UPSC).ORCID iD: 0000-0002-7906-6891
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2025 (English)In: Physiologia Plantarum, ISSN 0031-9317, E-ISSN 1399-3054, Vol. 177, no 5, article id e70567Article in journal (Refereed) Published
Abstract [en]

This study aims to identify candidate genes involved in the biosynthesis of salicinoid phenolic glycosides (SPGs), a group of specialised metabolites characteristic of the Salicaceae family. While the integration of multi-omics data represents a powerful approach to link genes encoding enzymes and their regulatory factors to metabolite biosynthesis, suitable multi-omics data resources are scarce. We present a comprehensive dataset comprising untargeted liquid chromatography–mass spectrometry (LC–MS) and mRNA-sequencing data from various organs of European aspen (Populus tremula L.) and from genotypes that produce contrasting sets of SPGs. We present a reproducible pipeline for the analysis of the LC–MS data, including predicted annotation of potential novel SPGs. We demonstrate the utility of the resource by identifying candidate genes involved in the biosynthesis of SPGs with a cinnamoyl moiety. By integrating gene and metabolite differential analyses with a gene co-expression network, we identified two HXXXD-type acyltransferase genes and one UDP-glucosyltransferase gene as candidates for future downstream characterisation. The combined gene expression and metabolomics resource is integrated into PlantGenIE.org to facilitate easy access and data mining. All raw data are available in public databases, and all data and results files are available at an associated Figshare repository.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 177, no 5, article id e70567
Keywords [en]
aspen, biosynthesis, chemotype, liquid chromatography–mass spectrometry (LC–MS), metabolomics, phenolic glycosides, Populus tremula, RNA-Seq, salicinoid, specialised metabolite
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:umu:diva-245717DOI: 10.1111/ppl.70567ISI: 001591085400001PubMedID: 41063380Scopus ID: 2-s2.0-105018295556OAI: oai:DiVA.org:umu-245717DiVA, id: diva2:2008729
Available from: 2025-10-23 Created: 2025-10-23 Last updated: 2025-12-12Bibliographically approved
In thesis
1. A systems genetics approach to identify candidate genes driving salicinoid diversity in Populus tremula
Open this publication in new window or tab >>A systems genetics approach to identify candidate genes driving salicinoid diversity in Populus tremula
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Systemgenetik som verktyg för att identifiera generna som styr salicinoid-diversitet i Populus tremula
Abstract [en]

Trees have evolved an impressive array of strategies to cope with the challenges of having a long and sessile life. Not only must they withstand a fluctuating climate, but they also face instantaneous pressures from herbivores and other attackers. To protect themselves, plants can produce defence compounds, many of which are highly specialised and taxon specific. Within the Salicaceae family, a key group of such defence compounds are the salicinoid phenolic glycosides (SPGs). Many structural variants of SPGs have been identified, in which acyl groups (e.g., cinnamoyl, benzoyl, and acetyl) are common. Some of these SPGs can have toxic and deterrent effects against attackers, and a few are known for their medicinal properties in humans. However, the biological function of most SPGs in planta remains unclear, and the causal enzymes for the majority of SPGs are yet to be identified. 

The aim of this thesis was to uncover the genetic basis of SPG biosynthesis in European aspen (Populus tremula L.) and to determine the extent of ontogenic and organ-specific variation among individuals. To achieve this, SPG variation within a collection of natural aspen, the Swedish aspen (SwAsp) collection, was investigated using an integrative multi-omic approach. By analysing the metabolome and transcriptome of multiple leaf ages from aspen individuals with varying levels of cinnamoyl and acetylated SPGs, a set of candidate transferases and novel putative SPGs were identified. These analyses further suggested that young leaf tissue is a highly active site of SPG biosynthesis, compared with mature leaves.  

To extend this analysis, we performed genome-wide association studies on transcriptomic and metabolomic data from leaf buds to identify genomic regions associated with variation in SPG abundance and gene expression. These data were integrated into a systems genetics network, visualising the intricate relationship between candidate genes and the diversity of SPGs. Among the candidates, an acyltransferase was highly associated with both acetyl- and cinnamoyl-SPGs. Heterologous expression assays in Escherichia coli (E. coli) confirmed its acetylation activity. In line with these findings, overexpression of the gene in planta led to increased levels of acetyl-SPGs, suggesting acetylation activity of the enzyme.

In summary, these results have enhanced our understanding of SPG biosynthesis and provide a foundation for future studies aimed at elucidating the in planta function of the remaining candidate genes. 

Place, publisher, year, edition, pages
Umeå: Umeå University, 2025. p. 107
Keywords
aspen, Populus tremula, systems genetics, GWAS, eQTL, metabolomics, specialised metabolites, salicinoid phenolic glycosides, chemotype, liquid chromatography-mass spectrometry, transcriptomics, RNA-Seq
National Category
Bioinformatics and Computational Biology Genetics and Genomics Plant Biotechnology
Identifiers
urn:nbn:se:umu:diva-247549 (URN)978-91-8070-866-1 (ISBN)978-91-8070-867-8 (ISBN)
Public defence
2026-01-09, KBE301-Lilla hörsalen, KBC-huset, Umeå, 13:00 (English)
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Available from: 2025-12-19 Created: 2025-12-12 Last updated: 2025-12-12Bibliographically approved

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Rydman, Sara M.Lihavainen, JennaRobinson, Kathryn M.Jansson, StefanAlbrectsen, Benedicte RiberStreet, Nathaniel

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Rydman, Sara M.Lihavainen, JennaRobinson, Kathryn M.Jansson, StefanAlbrectsen, Benedicte RiberStreet, Nathaniel
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