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Establishment and application of a metabolomics workflow for identification and profiling of volatiles from leaves of Vitis vinifera by HS-SPME-GC-MS.
Phytochem Anal. 2012 Jul-Aug; 23(4):345-58.PA

Abstract

INTRODUCTION

Volatile organic compounds (VOCs) occurring in leaves of plants carry information about the physiological state of the plant. Monitoring of VOCs assists in detecting plant stress before visible signs are present.

OBJECTIVE

To establish and apply a simple workflow for the automated extraction, measurement and annotation/identification of Vitis vinifera cv. Pinot Noir leaf metabolites.

METHODOLOGY

Leaf samples were harvested, cooled with liquid nitrogen and homogenised under cooled conditions. VOCs were extracted and enriched by solid phase microextraction (SPME) and analysed by GC-MS. Samples were measured on two columns with different polarity of stationary phases. Mass spectral deconvolution and identification was done by AMDIS software. Strict identification criteria were applied: match factor ≥ 90; relative retention index deviation ≤ 2% from reference value on both columns. Data of two sampling dates were analysed with multivariate statistics.

RESULTS

We found ~600 components in a single chromatogram. Applying the mentioned criteria resulted in annotation of 63 metabolites of which 47 were confirmed with authentic standards. For the majority of the compounds technical variability was < < 40% (RSD), biological variability among plants was 7-119%. Principal component analysis (PCA) scores plot of leaf samples from two different sampling dates showed two clearly separated clusters. The presented workflow enabled for the first time the detection and identification of 19 metabolites that have so far not been described for Vitis spp.

CONCLUSION

The developed workflow enabled the identification of grapevine leaf metabolites, which allowed the separation of leaves from two sampling dates by PCA.

Authors+Show Affiliations

Center for Analytical Chemistry, Department IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Str. 20, 3430 Tulln, Austria.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22009551

Citation

Weingart, Georg, et al. "Establishment and Application of a Metabolomics Workflow for Identification and Profiling of Volatiles From Leaves of Vitis Vinifera By HS-SPME-GC-MS." Phytochemical Analysis : PCA, vol. 23, no. 4, 2012, pp. 345-58.
Weingart G, Kluger B, Forneck A, et al. Establishment and application of a metabolomics workflow for identification and profiling of volatiles from leaves of Vitis vinifera by HS-SPME-GC-MS. Phytochem Anal. 2012;23(4):345-58.
Weingart, G., Kluger, B., Forneck, A., Krska, R., & Schuhmacher, R. (2012). Establishment and application of a metabolomics workflow for identification and profiling of volatiles from leaves of Vitis vinifera by HS-SPME-GC-MS. Phytochemical Analysis : PCA, 23(4), 345-58. https://doi.org/10.1002/pca.1364
Weingart G, et al. Establishment and Application of a Metabolomics Workflow for Identification and Profiling of Volatiles From Leaves of Vitis Vinifera By HS-SPME-GC-MS. Phytochem Anal. 2012 Jul-Aug;23(4):345-58. PubMed PMID: 22009551.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Establishment and application of a metabolomics workflow for identification and profiling of volatiles from leaves of Vitis vinifera by HS-SPME-GC-MS. AU - Weingart,Georg, AU - Kluger,Bernhard, AU - Forneck,Astrid, AU - Krska,Rudolf, AU - Schuhmacher,Rainer, Y1 - 2011/10/18/ PY - 2011/07/23/received PY - 2011/08/30/revised PY - 2011/09/07/accepted PY - 2011/10/20/entrez PY - 2011/10/20/pubmed PY - 2012/10/26/medline SP - 345 EP - 58 JF - Phytochemical analysis : PCA JO - Phytochem Anal VL - 23 IS - 4 N2 - INTRODUCTION: Volatile organic compounds (VOCs) occurring in leaves of plants carry information about the physiological state of the plant. Monitoring of VOCs assists in detecting plant stress before visible signs are present. OBJECTIVE: To establish and apply a simple workflow for the automated extraction, measurement and annotation/identification of Vitis vinifera cv. Pinot Noir leaf metabolites. METHODOLOGY: Leaf samples were harvested, cooled with liquid nitrogen and homogenised under cooled conditions. VOCs were extracted and enriched by solid phase microextraction (SPME) and analysed by GC-MS. Samples were measured on two columns with different polarity of stationary phases. Mass spectral deconvolution and identification was done by AMDIS software. Strict identification criteria were applied: match factor ≥ 90; relative retention index deviation ≤ 2% from reference value on both columns. Data of two sampling dates were analysed with multivariate statistics. RESULTS: We found ~600 components in a single chromatogram. Applying the mentioned criteria resulted in annotation of 63 metabolites of which 47 were confirmed with authentic standards. For the majority of the compounds technical variability was < < 40% (RSD), biological variability among plants was 7-119%. Principal component analysis (PCA) scores plot of leaf samples from two different sampling dates showed two clearly separated clusters. The presented workflow enabled for the first time the detection and identification of 19 metabolites that have so far not been described for Vitis spp. CONCLUSION: The developed workflow enabled the identification of grapevine leaf metabolites, which allowed the separation of leaves from two sampling dates by PCA. SN - 1099-1565 UR - https://www.unboundmedicine.com/medline/citation/22009551/Establishment_and_application_of_a_metabolomics_workflow_for_identification_and_profiling_of_volatiles_from_leaves_of_Vitis_vinifera_by_HS_SPME_GC_MS_ L2 - https://doi.org/10.1002/pca.1364 DB - PRIME DP - Unbound Medicine ER -