A robust quantitative approach using SPME-GC-MS, identified the volatilome of the biocontrol agent, Aureobasidium pullulans

Research output: Other contribution to conferenceAbstract

Abstract

Microbial antagonists have been explored as ecofriendly disease management alternatives to synthetic fungicides. Production of antimicrobial volatile organic compounds (VOCs) has become popular due to their biodegradability and activity regardless of a physical contact of the targeted host. Quantitative identification of VOCs is important,as it provides the basis to formulate artificial volatile cocktails,strain selection and growth condition studies to improve VOCs production by biocontrol agents.To our knowledge, a robust automated technique for quantitative analysis of microbial VOCs has not been reported. Aureobasidium pullulans is a yeast-like fungus and a potential biocontrol agent. Initial experiments of our study demonstrated a supressed growth of Botrytis cinerea and Alternaria alternata by A. pullulans VOCs. In this context, we propose a novel approach for the quantitative analysis of A. pullulans VOCs by automated solid phase­ microextraction-gas chromatography-mass spectrometry (SPME-GC-MS), in an antagonist-pathogen interactive system. A. pullulans and either B. cinerea or A. alternata were grown on two separate PDA layers in a headspace vial. To facilitate accurate quantitation, an internal standard (2-methyl-4-pentanol in methanol) was introduced,through the septum of the screw cap, on to a paper disc glued on a strip of aluminium foil hanging on the wall, before GC-MS analysis. Multivariate Curve Resolution-Alternating Least Squares deconvolution of SPME-GC-MS spectra, enabled the identification of thirteen VOCs from A. pullulans. Acetone,2-heptanone,ethyl butyrate,3-methylbutyl acetate and 2-methylpropyl acetate were identified as new VOCs from A. pullulans. The variables importance in projection scores and selectivity ratio of partial least squares discriminant analysis models identified four compounds; ethanol,2-methyl-1-propanol, 3-methyl-1-butanol and
2-phenyl ethanol, as important VOCs that discriminate between A. pullulans and pathogens.These four compounds were quantified and ethanol was the highest abundant VOC in A. pullulans headspace. Our findings introduce a novel,robust, quantitative approach for microbial VOCs analyses in biocontrol studies.
Original languageEnglish
Number of pages1
Publication statusPublished - 2019
EventAustralasian Plant Pathology Society 2019 Biennial
Conference
- Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 25 Nov 201928 Nov 2019
https://www.apps2019.org/

Conference

ConferenceAustralasian Plant Pathology Society 2019 Biennial
Conference
Abbreviated titleStrong Foundations, Future Innovations
CountryAustralia
CityMelbourne
Period25/11/1928/11/19
Internet address

Fingerprint

Aureobasidium pullulans
volatile organic compounds
biological control agents
Alternaria alternata
ethanol
Botrytis cinerea
headspace analysis
least squares
quantitative analysis
antagonists
gas chromatography-mass spectrometry
solid phase microextraction
acetates
2-heptanone
1-propanol
aluminum foil
biodegradability
pathogens
butanol
butyrates

Cite this

@conference{60680cc7949040759d2e98d86e448f33,
title = "A robust quantitative approach using SPME-GC-MS, identified the volatilome of the biocontrol agent, Aureobasidium pullulans",
abstract = "Microbial antagonists have been explored as ecofriendly disease management alternatives to synthetic fungicides. Production of antimicrobial volatile organic compounds (VOCs) has become popular due to their biodegradability and activity regardless of a physical contact of the targeted host. Quantitative identification of VOCs is important,as it provides the basis to formulate artificial volatile cocktails,strain selection and growth condition studies to improve VOCs production by biocontrol agents.To our knowledge, a robust automated technique for quantitative analysis of microbial VOCs has not been reported. Aureobasidium pullulans is a yeast-like fungus and a potential biocontrol agent. Initial experiments of our study demonstrated a supressed growth of Botrytis cinerea and Alternaria alternata by A. pullulans VOCs. In this context, we propose a novel approach for the quantitative analysis of A. pullulans VOCs by automated solid phase­ microextraction-gas chromatography-mass spectrometry (SPME-GC-MS), in an antagonist-pathogen interactive system. A. pullulans and either B. cinerea or A. alternata were grown on two separate PDA layers in a headspace vial. To facilitate accurate quantitation, an internal standard (2-methyl-4-pentanol in methanol) was introduced,through the septum of the screw cap, on to a paper disc glued on a strip of aluminium foil hanging on the wall, before GC-MS analysis. Multivariate Curve Resolution-Alternating Least Squares deconvolution of SPME-GC-MS spectra, enabled the identification of thirteen VOCs from A. pullulans. Acetone,2-heptanone,ethyl butyrate,3-methylbutyl acetate and 2-methylpropyl acetate were identified as new VOCs from A. pullulans. The variables importance in projection scores and selectivity ratio of partial least squares discriminant analysis models identified four compounds; ethanol,2-methyl-1-propanol, 3-methyl-1-butanol and2-phenyl ethanol, as important VOCs that discriminate between A. pullulans and pathogens.These four compounds were quantified and ethanol was the highest abundant VOC in A. pullulans headspace. Our findings introduce a novel,robust, quantitative approach for microbial VOCs analyses in biocontrol studies.",
keywords = "Microbial antagonist, synhetic fungicides, Aureobasidium pullulans",
author = "{Yalage Don}, Sashika and Christopher Steel and Joanna Gambetta and Leigh Schmidtke",
year = "2019",
language = "English",
note = "Australasian Plant Pathology Society 2019 Biennial <br/>Conference, Strong Foundations, Future Innovations ; Conference date: 25-11-2019 Through 28-11-2019",
url = "https://www.apps2019.org/",

}

Yalage Don, S, Steel, C, Gambetta, J & Schmidtke, L 2019, 'A robust quantitative approach using SPME-GC-MS, identified the volatilome of the biocontrol agent, Aureobasidium pullulans', Australasian Plant Pathology Society 2019 Biennial
Conference, Melbourne, Australia, 25/11/19 - 28/11/19.

A robust quantitative approach using SPME-GC-MS, identified the volatilome of the biocontrol agent, Aureobasidium pullulans. / Yalage Don, Sashika; Steel, Christopher; Gambetta, Joanna; Schmidtke, Leigh.

2019. Abstract from Australasian Plant Pathology Society 2019 Biennial
Conference, Melbourne, Australia.

Research output: Other contribution to conferenceAbstract

TY - CONF

T1 - A robust quantitative approach using SPME-GC-MS, identified the volatilome of the biocontrol agent, Aureobasidium pullulans

AU - Yalage Don, Sashika

AU - Steel, Christopher

AU - Gambetta, Joanna

AU - Schmidtke, Leigh

PY - 2019

Y1 - 2019

N2 - Microbial antagonists have been explored as ecofriendly disease management alternatives to synthetic fungicides. Production of antimicrobial volatile organic compounds (VOCs) has become popular due to their biodegradability and activity regardless of a physical contact of the targeted host. Quantitative identification of VOCs is important,as it provides the basis to formulate artificial volatile cocktails,strain selection and growth condition studies to improve VOCs production by biocontrol agents.To our knowledge, a robust automated technique for quantitative analysis of microbial VOCs has not been reported. Aureobasidium pullulans is a yeast-like fungus and a potential biocontrol agent. Initial experiments of our study demonstrated a supressed growth of Botrytis cinerea and Alternaria alternata by A. pullulans VOCs. In this context, we propose a novel approach for the quantitative analysis of A. pullulans VOCs by automated solid phase­ microextraction-gas chromatography-mass spectrometry (SPME-GC-MS), in an antagonist-pathogen interactive system. A. pullulans and either B. cinerea or A. alternata were grown on two separate PDA layers in a headspace vial. To facilitate accurate quantitation, an internal standard (2-methyl-4-pentanol in methanol) was introduced,through the septum of the screw cap, on to a paper disc glued on a strip of aluminium foil hanging on the wall, before GC-MS analysis. Multivariate Curve Resolution-Alternating Least Squares deconvolution of SPME-GC-MS spectra, enabled the identification of thirteen VOCs from A. pullulans. Acetone,2-heptanone,ethyl butyrate,3-methylbutyl acetate and 2-methylpropyl acetate were identified as new VOCs from A. pullulans. The variables importance in projection scores and selectivity ratio of partial least squares discriminant analysis models identified four compounds; ethanol,2-methyl-1-propanol, 3-methyl-1-butanol and2-phenyl ethanol, as important VOCs that discriminate between A. pullulans and pathogens.These four compounds were quantified and ethanol was the highest abundant VOC in A. pullulans headspace. Our findings introduce a novel,robust, quantitative approach for microbial VOCs analyses in biocontrol studies.

AB - Microbial antagonists have been explored as ecofriendly disease management alternatives to synthetic fungicides. Production of antimicrobial volatile organic compounds (VOCs) has become popular due to their biodegradability and activity regardless of a physical contact of the targeted host. Quantitative identification of VOCs is important,as it provides the basis to formulate artificial volatile cocktails,strain selection and growth condition studies to improve VOCs production by biocontrol agents.To our knowledge, a robust automated technique for quantitative analysis of microbial VOCs has not been reported. Aureobasidium pullulans is a yeast-like fungus and a potential biocontrol agent. Initial experiments of our study demonstrated a supressed growth of Botrytis cinerea and Alternaria alternata by A. pullulans VOCs. In this context, we propose a novel approach for the quantitative analysis of A. pullulans VOCs by automated solid phase­ microextraction-gas chromatography-mass spectrometry (SPME-GC-MS), in an antagonist-pathogen interactive system. A. pullulans and either B. cinerea or A. alternata were grown on two separate PDA layers in a headspace vial. To facilitate accurate quantitation, an internal standard (2-methyl-4-pentanol in methanol) was introduced,through the septum of the screw cap, on to a paper disc glued on a strip of aluminium foil hanging on the wall, before GC-MS analysis. Multivariate Curve Resolution-Alternating Least Squares deconvolution of SPME-GC-MS spectra, enabled the identification of thirteen VOCs from A. pullulans. Acetone,2-heptanone,ethyl butyrate,3-methylbutyl acetate and 2-methylpropyl acetate were identified as new VOCs from A. pullulans. The variables importance in projection scores and selectivity ratio of partial least squares discriminant analysis models identified four compounds; ethanol,2-methyl-1-propanol, 3-methyl-1-butanol and2-phenyl ethanol, as important VOCs that discriminate between A. pullulans and pathogens.These four compounds were quantified and ethanol was the highest abundant VOC in A. pullulans headspace. Our findings introduce a novel,robust, quantitative approach for microbial VOCs analyses in biocontrol studies.

KW - Microbial antagonist

KW - synhetic fungicides

KW - Aureobasidium pullulans

M3 - Abstract

ER -