LC-MS based metabolomics analysis to identify potential allelochemicals in Wedelia trilobata

Kamalrul Azlan Azizan, Sarah Ibrahim, Nurul Haizun Abdul Ghani, Mohammad Firdaus Nawawi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Wedelia trilobata is a noxious invasive weed that has been widely cultivated as a decorative and groundcover plant. The plant has been reported to contain diverse bioactive compounds with a broad spectrum of biological activities including allelochemicals. Allelochemicals contribute to allelopathy interactions that suppress the growth and development of nearby plants. Several studies have reported the allelopathic potential of W. trilobata and its negative effects to crop plants. However, relatively little is known about the allelochemicals’ composition and how allelochemicals contribute to the allelopathic behavior of this plant. In order to prove allelopathy, the identification of the causative allelochemicals is required. The identification of potential allelochemicals that serve as biomarkers could be useful for assessing allelopathy interactions. In this study, a liquid chromatography (LC) based metabolomics approach was applied to find biomarkers with allelopathic effects from W. trilobata. Ethanol and water were used to extract metabolites from the leaves of W. trilobata and analyzed using liquid chromatography coupled with quadrupole high-resolution time of flight mass spectrometry (LC-QTOF-MS). Using multivariate statistical analysis (MVA), we identified eight Rt-m/z pairs as candidate marker compounds for assessing allelopathy interactions of W. trilobata. The results highlight the application of metabolomics for understanding of the role of allelochemicals in allelopathy interactions of W. trilobata.

Original languageEnglish
Pages (from-to)788-793
Number of pages6
JournalRecords of Natural Products
Volume10
Issue number6
Publication statusPublished - 1 Nov 2016

Fingerprint

Wedelia
Sphagneticola trilobata
Metabolomics
Allelopathy
Pheromones
allelochemicals
Liquid chromatography
metabolomics
Liquid Chromatography
liquid chromatography
allelopathy
Biomarkers
biomarkers
ground cover plants
Metabolites
Bioactivity
Growth and Development
multivariate analysis
Crops
Mass spectrometry

Keywords

  • Allelopathy
  • LC-QTOF-MS
  • Metabolomics
  • Wedelia trilobata

ASJC Scopus subject areas

  • Organic Chemistry
  • Drug Discovery
  • Pharmacology
  • Plant Science

Cite this

LC-MS based metabolomics analysis to identify potential allelochemicals in Wedelia trilobata. / Azizan, Kamalrul Azlan; Ibrahim, Sarah; Ghani, Nurul Haizun Abdul; Nawawi, Mohammad Firdaus.

In: Records of Natural Products, Vol. 10, No. 6, 01.11.2016, p. 788-793.

Research output: Contribution to journalArticle

Azizan, Kamalrul Azlan ; Ibrahim, Sarah ; Ghani, Nurul Haizun Abdul ; Nawawi, Mohammad Firdaus. / LC-MS based metabolomics analysis to identify potential allelochemicals in Wedelia trilobata. In: Records of Natural Products. 2016 ; Vol. 10, No. 6. pp. 788-793.
@article{2029b11a45224b41b501c69017d3c6a9,
title = "LC-MS based metabolomics analysis to identify potential allelochemicals in Wedelia trilobata",
abstract = "Wedelia trilobata is a noxious invasive weed that has been widely cultivated as a decorative and groundcover plant. The plant has been reported to contain diverse bioactive compounds with a broad spectrum of biological activities including allelochemicals. Allelochemicals contribute to allelopathy interactions that suppress the growth and development of nearby plants. Several studies have reported the allelopathic potential of W. trilobata and its negative effects to crop plants. However, relatively little is known about the allelochemicals’ composition and how allelochemicals contribute to the allelopathic behavior of this plant. In order to prove allelopathy, the identification of the causative allelochemicals is required. The identification of potential allelochemicals that serve as biomarkers could be useful for assessing allelopathy interactions. In this study, a liquid chromatography (LC) based metabolomics approach was applied to find biomarkers with allelopathic effects from W. trilobata. Ethanol and water were used to extract metabolites from the leaves of W. trilobata and analyzed using liquid chromatography coupled with quadrupole high-resolution time of flight mass spectrometry (LC-QTOF-MS). Using multivariate statistical analysis (MVA), we identified eight Rt-m/z pairs as candidate marker compounds for assessing allelopathy interactions of W. trilobata. The results highlight the application of metabolomics for understanding of the role of allelochemicals in allelopathy interactions of W. trilobata.",
keywords = "Allelopathy, LC-QTOF-MS, Metabolomics, Wedelia trilobata",
author = "Azizan, {Kamalrul Azlan} and Sarah Ibrahim and Ghani, {Nurul Haizun Abdul} and Nawawi, {Mohammad Firdaus}",
year = "2016",
month = "11",
day = "1",
language = "English",
volume = "10",
pages = "788--793",
journal = "Records of Natural Products",
issn = "1307-6167",
publisher = "ACG Publications",
number = "6",

}

TY - JOUR

T1 - LC-MS based metabolomics analysis to identify potential allelochemicals in Wedelia trilobata

AU - Azizan, Kamalrul Azlan

AU - Ibrahim, Sarah

AU - Ghani, Nurul Haizun Abdul

AU - Nawawi, Mohammad Firdaus

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Wedelia trilobata is a noxious invasive weed that has been widely cultivated as a decorative and groundcover plant. The plant has been reported to contain diverse bioactive compounds with a broad spectrum of biological activities including allelochemicals. Allelochemicals contribute to allelopathy interactions that suppress the growth and development of nearby plants. Several studies have reported the allelopathic potential of W. trilobata and its negative effects to crop plants. However, relatively little is known about the allelochemicals’ composition and how allelochemicals contribute to the allelopathic behavior of this plant. In order to prove allelopathy, the identification of the causative allelochemicals is required. The identification of potential allelochemicals that serve as biomarkers could be useful for assessing allelopathy interactions. In this study, a liquid chromatography (LC) based metabolomics approach was applied to find biomarkers with allelopathic effects from W. trilobata. Ethanol and water were used to extract metabolites from the leaves of W. trilobata and analyzed using liquid chromatography coupled with quadrupole high-resolution time of flight mass spectrometry (LC-QTOF-MS). Using multivariate statistical analysis (MVA), we identified eight Rt-m/z pairs as candidate marker compounds for assessing allelopathy interactions of W. trilobata. The results highlight the application of metabolomics for understanding of the role of allelochemicals in allelopathy interactions of W. trilobata.

AB - Wedelia trilobata is a noxious invasive weed that has been widely cultivated as a decorative and groundcover plant. The plant has been reported to contain diverse bioactive compounds with a broad spectrum of biological activities including allelochemicals. Allelochemicals contribute to allelopathy interactions that suppress the growth and development of nearby plants. Several studies have reported the allelopathic potential of W. trilobata and its negative effects to crop plants. However, relatively little is known about the allelochemicals’ composition and how allelochemicals contribute to the allelopathic behavior of this plant. In order to prove allelopathy, the identification of the causative allelochemicals is required. The identification of potential allelochemicals that serve as biomarkers could be useful for assessing allelopathy interactions. In this study, a liquid chromatography (LC) based metabolomics approach was applied to find biomarkers with allelopathic effects from W. trilobata. Ethanol and water were used to extract metabolites from the leaves of W. trilobata and analyzed using liquid chromatography coupled with quadrupole high-resolution time of flight mass spectrometry (LC-QTOF-MS). Using multivariate statistical analysis (MVA), we identified eight Rt-m/z pairs as candidate marker compounds for assessing allelopathy interactions of W. trilobata. The results highlight the application of metabolomics for understanding of the role of allelochemicals in allelopathy interactions of W. trilobata.

KW - Allelopathy

KW - LC-QTOF-MS

KW - Metabolomics

KW - Wedelia trilobata

UR - http://www.scopus.com/inward/record.url?scp=84977479407&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84977479407&partnerID=8YFLogxK

M3 - Article

VL - 10

SP - 788

EP - 793

JO - Records of Natural Products

JF - Records of Natural Products

SN - 1307-6167

IS - 6

ER -