Metabolic profiling by ultra-performance liquid chromatography-mass spectrometry and parallel factor analysis for the determination of disease biomarkers in Eucalyptus

Author(s)

Hantao, Leandro Wang ^{[1, 2]} ; de Lima Ribeiro, Fabiana Alves ^{[1, 2]} ; Passador, Martha Maria ^[3] ; Furtado, Edson Luiz ^[3] ; Poppi, Ronei Jesus ^{[1, 2]} ; Gozzo, Fabio Cesar ^{[1, 2]} ; Augusto, Fabio ^{[1, 2]}

Affiliation

^[1] Univ Estadual Campinas, Inst Chem, BR-13083970 Campinas, SP - Brazil

^[2] Univ Estadual Campinas, Natl Inst Sci & Technol Bioanalyt INCTBio, BR-13083970 Campinas, SP - Brazil

^[3] State Univ Julio Mesquita Filho Unesp, Fac Agron Sci, Sao Jose Do Rio Preto - Brazil

• Document type: Journal article
• Source: METABOLOMICS; v. 10, n. 6, p. 1318-1325, DEC 2014.
• Web of Science Citations: 4

Abstract

In this article, we present and discuss an alternative for data analysis of the metabolic profiles of both healthy Eucalyptus globulus and those infected with the Mycosphaerella leaf disease. The crude extracts were analyzed by reversed-phase ultra performance liquid chromatography-mass spectrometry. In order to glean the most useful information from these complex measurements, parallel factor analysis (PARAFAC) was employed for pattern recognition. After PARAFAC modeling, inspection of the scores and loadings graph allowed distinction of the healthy from the infected E. globulus samples and determination of biomarkers related to the biotic stress. The assessment of the monoisotopic masses and the fragmentation patterns allowed the identification of these biomarkers. It is hoped that the proposed method can be used for the diagnosis of diseases in plants, as well as to provide additional insight into the plant's defense mechanism. Potentially, this may demonstrate the advantages of employing high order chemometric techniques in metabolomic data analysis. (AU)

• FAPESP's process: 11/51896-9 - Application of comprehensive bidimensional gas chromatography to the search of biomarkers for pathogen resistance on vegetables
• Grantee: Fabio Augusto
• Support Opportunities: Regular Research Grants