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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Nature Portfolio
2023-07-01
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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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issn | 2045-2322 |
language | English |
last_indexed | 2024-03-12T22:17:55Z |
publishDate | 2023-07-01 |
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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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