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New Phytologist
Article . 2025 . Peer-reviewed
License: CC BY NC ND
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New Phytologist
Article . 2025
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Nectar metabolomes contribute to pollination syndromes

Authors: Fiona T. MacNeill; Sarah G. Hunter; Felicity Muth; Brian E. Sedio;

Nectar metabolomes contribute to pollination syndromes

Abstract

Summary ‘Pollination syndromes’, where convergent floral signals reflect selection from a functional pollinator group, are often characterized by physical features, yet floral rewards such as nectar may also reflect selection from pollinators. We asked whether nectar chemistry shows evidence of convergence across functional pollinator groups, i.e. a ‘chemical pollination syndrome’. We used untargeted metabolomics to compare nectar and leaf chemical profiles across 19 bee‐ and bird‐syndrome species, focusing on Salvia spp. (Lamiaceae), selected to maximize switching events between pollination syndromes. We found that independently derived bird‐syndrome nectar showed convergence on nectar traits distinct from bee‐syndrome nectar, primarily driven by the composition and concentration of alkaloid profiles. We did not find evidence for ‘passive leaking’ of nectar compounds from leaves since metabolite abundances were uncorrelated across tissues and many nectar metabolites were not present in leaves. Nectar and leaf metabolomes were strongly decoupled from phylogenetic relationships within Salvia . These results suggest that functional pollinator groups may drive the evolution of floral reward chemistry, consistent with our ‘chemical pollination syndrome’ hypothesis and indicative of selection by pollinators, but we also consider alternative explanations. In addition, our results support the notion that nectar chemistry can be decoupled from that of other tissues.

Keywords

Plant Leaves, Plant Nectar, Research, Metabolome, Animals, Metabolomics, Salvia, Flowers, Bees, Pollination, Phylogeny

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid