2018
DOI: 10.3389/fpls.2018.01155
|View full text |Cite
|
Sign up to set email alerts
|

Shedding Light on Chemically Mediated Tri-Trophic Interactions: A 1H-NMR Network Approach to Identify Compound Structural Features and Associated Biological Activity

Abstract: Diverse mixtures of plant natural products play an important role in plant-herbivore-parasitoid interactions. In the pursuit of understanding these chemically-mediated interactions, we are often faced with the challenge of determining ecologically and biologically relevant compounds present in complex phytochemical mixtures. Using a network-based approach, we analyzed binned 1H-NMR data from 196 prepared mixtures of commonly studied secondary metabolites including alkaloids, amides, terpenes, iridoid glycoside… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
24
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
3
3
1

Relationship

2
5

Authors

Journals

citations
Cited by 15 publications
(24 citation statements)
references
References 48 publications
0
24
0
Order By: Relevance
“…However, the reality is that the vast majority of structures of phytochemicals are undescribed, making these metrics inapplicable. Studies in ecology are just beginning to calculate the structural similarity metrics for complex mixtures of undescribed compounds using either raw MS‐MS fragmentation data (Sedio ; Sedio et al ) or NMR data (Richards et al ; Richards et al ). These methods use spectral features to generate measures of structural similarity among compounds, which can then be visualised using molecular networks (e.g.…”
Section: Diversity As a Multidimensional Conceptmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the reality is that the vast majority of structures of phytochemicals are undescribed, making these metrics inapplicable. Studies in ecology are just beginning to calculate the structural similarity metrics for complex mixtures of undescribed compounds using either raw MS‐MS fragmentation data (Sedio ; Sedio et al ) or NMR data (Richards et al ; Richards et al ). These methods use spectral features to generate measures of structural similarity among compounds, which can then be visualised using molecular networks (e.g.…”
Section: Diversity As a Multidimensional Conceptmentioning
confidence: 99%
“…A surge of recent research, fuelled by metabolomics and other modern approaches in analytical chemistry (Hartley et al ; Sedio ; Dyer et al ; Richards et al ), has finally begun to address the ecological and evolutionary roles of phytochemical diversity itself. This new line of research has been enabled by a key conceptual advance – the use of concepts and metrics from the species diversity literature (Iason et al ; Dyer et al ; Moore et al ; Marion et al ).…”
Section: Introductionmentioning
confidence: 99%
“…Piper is a hyper-diverse lineage in which phytochemical variation has influenced evolutionary and ecological processes and shaped complex tropical communities (e.g., Salazar et al, 2016;Richards et al, 2018). However, there have been limitations in both the degree of phylogenetic resolution and the understanding of phytochemical variation in this group.…”
Section: Discussionmentioning
confidence: 99%
“…Piper (Piperaceae) is a highly diverse, pantropical genus of nearly 2,600 accepted species (Callejas-Posada, 2020), with the highest diversity occurring in the Neotropics (Gentry, 1993;Martínez et al, 2015). Chemically, Piper is impressively diverse (Parmar et al, 1997;Dyer & Palmer, 2004;Richards et al, 2015): chemical profiling in a modest number of taxa has yielded 667 different compounds from 11 distinct structural classes thus far (Parmar et al, 1997;Kato & Furlan, 2007;Richards et al, 2018). This phytochemical diversity has likely contributed to the diversification of several herbivorous insect lineages that specialize on Piper, including most notably the geometrid moth genus Eois (Strutzenberger et al, 2012;Wilson et al, 2012;Jahner et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation