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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
02/08/2017 |
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Data da última atualização: |
02/08/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ROCHA, D. F. O.; CUNHA, C. M. S.; BELAZ, K. R. A.; SANTOS, F. N.; HINZ, R. H.; PEREIRA, A.; VISCONTI, A.; WICKERT, E.; ANDRADE, L. M.; NASCIMENTO, C. A. O.; EBERLIN, M. N. |
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Título: |
MALDI-TOF MS Fingerprinting as a Convenient Tool to Select Small Proteins Related to Pathogen Adaptation and Virulence in Panama Disease. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: WORLD CHEMISTRY CONGRESS, 46., 2017, São Paulo. Abstracts. São Paulo: IUPAC, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Fusarium oxysporum f. sp. cubense (Foc) causes Panama disease, which destroys banana plantations around the world. Resistant cultivars are the best control strategy because pesticides do not end the infestation.1 Since low molecular weight (LMW) proteins can be related to cell division and stress responses,2 we investigated how LMW protein fingerprinting is affected by the aggressiveness behavior and host cultivar adaptation.
Methods: 34 Foc isolates cultured in BDE medium for 14 days at 25ºC in triplicate. Mycelium extracted with 70% formic acid/acetonitrile. CHCA as MALDI matrix. MALDI-TOF-MS Bruker UltrafleXtreme SmartbeamTM in positive ion mode and linear detector, from m/z 2 to 20 kDa. Results and discussion: Hierarchical cluster analysis (HCA)4 of Foc protein fingerprinting (Fig. 1) could classify isolates from Cavendish cultivar and with most aggressive classification in an almost exclusive clade. Considering that Cavendish cultivar have only recently become susceptible to Foc, this feature indicates that LMW proteins participate in this fungus? adaptation to a more resistant host, as well as in virulence. The statistically highlighted ions may play a role in this process. Even without a definitive identification of these proteins, this is a very simple and useful methodology to better explore the different aggressiveness pattern of greenhouse assays reported previously.3 Seeing that Cavendish cultivar is the best alternative to Foc contaminated areas, the proteins highlighted here might have central role in Panama disease epidemiology and thus to the development of new control strategies. MenosFusarium oxysporum f. sp. cubense (Foc) causes Panama disease, which destroys banana plantations around the world. Resistant cultivars are the best control strategy because pesticides do not end the infestation.1 Since low molecular weight (LMW) proteins can be related to cell division and stress responses,2 we investigated how LMW protein fingerprinting is affected by the aggressiveness behavior and host cultivar adaptation.
Methods: 34 Foc isolates cultured in BDE medium for 14 days at 25ºC in triplicate. Mycelium extracted with 70% formic acid/acetonitrile. CHCA as MALDI matrix. MALDI-TOF-MS Bruker UltrafleXtreme SmartbeamTM in positive ion mode and linear detector, from m/z 2 to 20 kDa. Results and discussion: Hierarchical cluster analysis (HCA)4 of Foc protein fingerprinting (Fig. 1) could classify isolates from Cavendish cultivar and with most aggressive classification in an almost exclusive clade. Considering that Cavendish cultivar have only recently become susceptible to Foc, this feature indicates that LMW proteins participate in this fungus? adaptation to a more resistant host, as well as in virulence. The statistically highlighted ions may play a role in this process. Even without a definitive identification of these proteins, this is a very simple and useful methodology to better explore the different aggressiveness pattern of greenhouse assays reported previously.3 Seeing that Cavendish cultivar is the best alternative to Foc contaminated areas, the proteins hi... Mostrar Tudo |
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Palavras-Chave: |
LMW proteins; MALDI-MS; multivariate statistical analysis; Panama disease; phospholipids; phytopathogen. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02599naa a2200313 a 4500
001 1126419
005 2017-08-02
008 2017 bl uuuu u00u1 u #d
100 1 $aROCHA, D. F. O.
245 $aMALDI-TOF MS Fingerprinting as a Convenient Tool to Select Small Proteins Related to Pathogen Adaptation and Virulence in Panama Disease.$h[electronic resource]
260 $c2017
520 $aFusarium oxysporum f. sp. cubense (Foc) causes Panama disease, which destroys banana plantations around the world. Resistant cultivars are the best control strategy because pesticides do not end the infestation.1 Since low molecular weight (LMW) proteins can be related to cell division and stress responses,2 we investigated how LMW protein fingerprinting is affected by the aggressiveness behavior and host cultivar adaptation. Methods: 34 Foc isolates cultured in BDE medium for 14 days at 25ºC in triplicate. Mycelium extracted with 70% formic acid/acetonitrile. CHCA as MALDI matrix. MALDI-TOF-MS Bruker UltrafleXtreme SmartbeamTM in positive ion mode and linear detector, from m/z 2 to 20 kDa. Results and discussion: Hierarchical cluster analysis (HCA)4 of Foc protein fingerprinting (Fig. 1) could classify isolates from Cavendish cultivar and with most aggressive classification in an almost exclusive clade. Considering that Cavendish cultivar have only recently become susceptible to Foc, this feature indicates that LMW proteins participate in this fungus? adaptation to a more resistant host, as well as in virulence. The statistically highlighted ions may play a role in this process. Even without a definitive identification of these proteins, this is a very simple and useful methodology to better explore the different aggressiveness pattern of greenhouse assays reported previously.3 Seeing that Cavendish cultivar is the best alternative to Foc contaminated areas, the proteins highlighted here might have central role in Panama disease epidemiology and thus to the development of new control strategies.
653 $aLMW proteins
653 $aMALDI-MS
653 $amultivariate statistical analysis
653 $aPanama disease
653 $aphospholipids
653 $aphytopathogen
700 1 $aCUNHA, C. M. S.
700 1 $aBELAZ, K. R. A.
700 1 $aSANTOS, F. N.
700 1 $aHINZ, R. H.
700 1 $aPEREIRA, A.
700 1 $aVISCONTI, A.
700 1 $aWICKERT, E.
700 1 $aANDRADE, L. M.
700 1 $aNASCIMENTO, C. A. O.
700 1 $aEBERLIN, M. N.
773 $tIn: WORLD CHEMISTRY CONGRESS, 46., 2017, São Paulo. Abstracts. São Paulo: IUPAC, 2017.
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