Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context.
Members of the subtribe Lychnophorinae occur mostly within the Cerrado domain of the Brazilian Central Plateau. The relationships between its 11 genera, as well as between Lychnophorinae and other subtribes belonging to the tribe Vernonieae, have recently been investigated upon a phylogeny based on...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5764248?pdf=render |
_version_ | 1818016352034619392 |
---|---|
author | Maria Elvira Poleti Martucci Benoit Loeuille José Rubens Pirani Leonardo Gobbo-Neto |
author_facet | Maria Elvira Poleti Martucci Benoit Loeuille José Rubens Pirani Leonardo Gobbo-Neto |
author_sort | Maria Elvira Poleti Martucci |
collection | DOAJ |
description | Members of the subtribe Lychnophorinae occur mostly within the Cerrado domain of the Brazilian Central Plateau. The relationships between its 11 genera, as well as between Lychnophorinae and other subtribes belonging to the tribe Vernonieae, have recently been investigated upon a phylogeny based on molecular and morphological data. We report the use of a comprehensive untargeted metabolomics approach, combining HPLC-MS and GC-MS data, followed by multivariate analyses aiming to assess the congruence between metabolomics data and the phylogenetic hypothesis, as well as its potential as a chemotaxonomic tool. We analyzed 78 species by UHPLC-MS and GC-MS in both positive and negative ionization modes. The metabolic profiles obtained for these species were treated in MetAlign and in MSClust and the matrices generated were used in SIMCA for hierarchical cluster analyses, principal component analyses and orthogonal partial least square discriminant analysis. The results showed that metabolomic analyses are mostly congruent with the phylogenetic hypothesis especially at lower taxonomic levels (Lychnophora or Eremanthus). Our results confirm that data generated using metabolomics provide evidence for chemotaxonomical studies, especially for phylogenetic inference of the Lychnophorinae subtribe and insight into the evolution of the secondary metabolites of this group. |
first_indexed | 2024-04-14T07:11:07Z |
format | Article |
id | doaj.art-16c78fd31c374d6e80c808011727c835 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-14T07:11:07Z |
publishDate | 2018-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-16c78fd31c374d6e80c808011727c8352022-12-22T02:06:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e019010410.1371/journal.pone.0190104Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context.Maria Elvira Poleti MartucciBenoit LoeuilleJosé Rubens PiraniLeonardo Gobbo-NetoMembers of the subtribe Lychnophorinae occur mostly within the Cerrado domain of the Brazilian Central Plateau. The relationships between its 11 genera, as well as between Lychnophorinae and other subtribes belonging to the tribe Vernonieae, have recently been investigated upon a phylogeny based on molecular and morphological data. We report the use of a comprehensive untargeted metabolomics approach, combining HPLC-MS and GC-MS data, followed by multivariate analyses aiming to assess the congruence between metabolomics data and the phylogenetic hypothesis, as well as its potential as a chemotaxonomic tool. We analyzed 78 species by UHPLC-MS and GC-MS in both positive and negative ionization modes. The metabolic profiles obtained for these species were treated in MetAlign and in MSClust and the matrices generated were used in SIMCA for hierarchical cluster analyses, principal component analyses and orthogonal partial least square discriminant analysis. The results showed that metabolomic analyses are mostly congruent with the phylogenetic hypothesis especially at lower taxonomic levels (Lychnophora or Eremanthus). Our results confirm that data generated using metabolomics provide evidence for chemotaxonomical studies, especially for phylogenetic inference of the Lychnophorinae subtribe and insight into the evolution of the secondary metabolites of this group.http://europepmc.org/articles/PMC5764248?pdf=render |
spellingShingle | Maria Elvira Poleti Martucci Benoit Loeuille José Rubens Pirani Leonardo Gobbo-Neto Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. PLoS ONE |
title | Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. |
title_full | Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. |
title_fullStr | Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. |
title_full_unstemmed | Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. |
title_short | Comprehensive untargeted metabolomics of Lychnnophorinae subtribe (Asteraceae: Vernonieae) in a phylogenetic context. |
title_sort | comprehensive untargeted metabolomics of lychnnophorinae subtribe asteraceae vernonieae in a phylogenetic context |
url | http://europepmc.org/articles/PMC5764248?pdf=render |
work_keys_str_mv | AT mariaelvirapoletimartucci comprehensiveuntargetedmetabolomicsoflychnnophorinaesubtribeasteraceaevernonieaeinaphylogeneticcontext AT benoitloeuille comprehensiveuntargetedmetabolomicsoflychnnophorinaesubtribeasteraceaevernonieaeinaphylogeneticcontext AT joserubenspirani comprehensiveuntargetedmetabolomicsoflychnnophorinaesubtribeasteraceaevernonieaeinaphylogeneticcontext AT leonardogobboneto comprehensiveuntargetedmetabolomicsoflychnnophorinaesubtribeasteraceaevernonieaeinaphylogeneticcontext |