Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
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]
Número total de Autores: 7
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: METABOLOMICS; v. 10, n. 6, p. 1318-1325, DEC 2014.
Citações Web of Science: 4
Resumo

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)

Processo FAPESP: 11/51896-9 - Aplicações de cromatografia gasosa bidimensional abrangente na pesquisa de biomarcadores de resistência a patógenos em vegetais
Beneficiário:Fabio Augusto
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 11/50390-4 - Estudo biomarcadores de resistência a patógenos em espécies vegetais de interesse comercial através de cromatografia gasosa bidimensional abrangente
Beneficiário:Leandro Wang Hantao
Linha de fomento: Bolsas no Brasil - Doutorado