Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics

Abstract Intraspecific plant chemodiversity shapes plant-environment interactions. Within species, chemotypes can be defined according to variation in dominant specialised metabolites belonging to certain classes. Different ecological functions could be assigned to these distinct chemotypes. However...

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Main Authors: Thomas Dussarrat, Rabea Schweiger, Dominik Ziaja, Thuan T. N. Nguyen, Liv Krause, Ruth Jakobs, Elisabeth J. Eilers, Caroline Müller
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-38790-7
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author Thomas Dussarrat
Rabea Schweiger
Dominik Ziaja
Thuan T. N. Nguyen
Liv Krause
Ruth Jakobs
Elisabeth J. Eilers
Caroline Müller
author_facet Thomas Dussarrat
Rabea Schweiger
Dominik Ziaja
Thuan T. N. Nguyen
Liv Krause
Ruth Jakobs
Elisabeth J. Eilers
Caroline Müller
author_sort Thomas Dussarrat
collection DOAJ
description Abstract Intraspecific plant chemodiversity shapes plant-environment interactions. Within species, chemotypes can be defined according to variation in dominant specialised metabolites belonging to certain classes. Different ecological functions could be assigned to these distinct chemotypes. However, the roles of other metabolic variation and the parental origin (or genotype) of the chemotypes remain poorly explored. Here, we first compared the capacity of terpenoid profiles and metabolic fingerprints to distinguish five chemotypes of common tansy (Tanacetum vulgare) and depict metabolic differences. Metabolic fingerprints captured higher variation in metabolites while preserving the ability to define chemotypes. These differences might influence plant performance and interactions with the environment. Next, to characterise the influence of the maternal origin on chemodiversity, we performed variation partitioning and generalised linear modelling. Our findings revealed that maternal origin was a higher source of chemical variation than chemotype. Predictive metabolomics unveiled 184 markers predicting maternal origin with 89% accuracy. These markers included, among others, phenolics, whose functions in plant-environment interactions are well established. Hence, these findings place parental genotype at the forefront of intraspecific chemodiversity. We recommend considering this factor when comparing the ecology of various chemotypes. Additionally, the combined inclusion of inherited variation in main terpenoids and other metabolites in computational models may help connect chemodiversity and evolutionary principles.
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spelling doaj.art-7092504d43424e598507d57ff9ddf2cd2023-07-23T11:12:55ZengNature PortfolioScientific Reports2045-23222023-07-0113111110.1038/s41598-023-38790-7Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomicsThomas Dussarrat0Rabea Schweiger1Dominik Ziaja2Thuan T. N. Nguyen3Liv Krause4Ruth Jakobs5Elisabeth J. Eilers6Caroline Müller7Department of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityDepartment of Chemical Ecology, Bielefeld UniversityAbstract Intraspecific plant chemodiversity shapes plant-environment interactions. Within species, chemotypes can be defined according to variation in dominant specialised metabolites belonging to certain classes. Different ecological functions could be assigned to these distinct chemotypes. However, the roles of other metabolic variation and the parental origin (or genotype) of the chemotypes remain poorly explored. Here, we first compared the capacity of terpenoid profiles and metabolic fingerprints to distinguish five chemotypes of common tansy (Tanacetum vulgare) and depict metabolic differences. Metabolic fingerprints captured higher variation in metabolites while preserving the ability to define chemotypes. These differences might influence plant performance and interactions with the environment. Next, to characterise the influence of the maternal origin on chemodiversity, we performed variation partitioning and generalised linear modelling. Our findings revealed that maternal origin was a higher source of chemical variation than chemotype. Predictive metabolomics unveiled 184 markers predicting maternal origin with 89% accuracy. These markers included, among others, phenolics, whose functions in plant-environment interactions are well established. Hence, these findings place parental genotype at the forefront of intraspecific chemodiversity. We recommend considering this factor when comparing the ecology of various chemotypes. Additionally, the combined inclusion of inherited variation in main terpenoids and other metabolites in computational models may help connect chemodiversity and evolutionary principles.https://doi.org/10.1038/s41598-023-38790-7
spellingShingle Thomas Dussarrat
Rabea Schweiger
Dominik Ziaja
Thuan T. N. Nguyen
Liv Krause
Ruth Jakobs
Elisabeth J. Eilers
Caroline Müller
Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
Scientific Reports
title Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
title_full Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
title_fullStr Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
title_full_unstemmed Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
title_short Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
title_sort influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics
url https://doi.org/10.1038/s41598-023-38790-7
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