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Your search keyword '"Rochfort, Simone J."' showing total 7 results
Start Over Author "Rochfort, Simone J." Publisher elsevier
7 results on '"Rochfort, Simone J."'

2. Contributors

Author

Alfaro, Andrea C., primary, Alonso, David, additional, Banaigs, Bernard, additional, Bayly, Michael J., additional, Beale, David J., additional, Bell, Ian P., additional, Benke, Peter Imre, additional, Bennett, William W., additional, Bissett, Andrew, additional, Bodrossy, Levente, additional, Boot, Claudia M., additional, Boughton, Berin A., additional, Boyle, Rhianna, additional, Broeckling, Corey D., additional, Brua, Robert B., additional, Buthelezi, Nombuso, additional, Carroll, Anthony R., additional, Chele, Kekeletso, additional, Clowers, Brian H., additional, Coleman, Rhys A., additional, Cook, Kathryn B., additional, Cook, Stephen, additional, Crosswell, Joseph, additional, Culp, Joseph M., additional, Cunning, Ross, additional, Davy, Simon K., additional, Dayalan, Saravanan, additional, van de Kamp, Jodie, additional, Dias, D.A., additional, Doriean, Nicholas J.C., additional, Ezernieks, Vilnis, additional, Forbes, Shari, additional, Gargallo-Garriga, Albert, additional, Gates, Ruth D., additional, Gómez-Ramos, Maria del Mar, additional, Gómez-Ramos, Maria Jose, additional, Gorman, Daniel, additional, Gorst-Allman, Peter, additional, Grossman, Arthur R., additional, Halliwell, Daryl B., additional, Hano, Takeshi, additional, Hayden, Helen L., additional, Heffernan, Amy L., additional, Hillyer, Katie E., additional, Hoffmann, Ary A., additional, Huyser, Johan, additional, Jeong, Tae-Yong, additional, Jeppe, Katherine J., additional, Jones, Oliver A.H., additional, Kanojia, Komal, additional, Karpe, Avinash V., additional, Kelly, Christina, additional, Keough, Michael J., additional, Klem, Karel, additional, Kouremenos, Konstantinos A., additional, Kovacevic, Vera, additional, Kumar, Anu, additional, Kumar, Manoj, additional, Kuzhiumparambil, Unnikrishnan, additional, Lanctôt, Chantal M., additional, Lecchini, David, additional, Lephatsi, Motseoa, additional, Long, Sara M., additional, Lutz, Adrian, additional, MacLeod, Ben, additional, Majedi, Seyed Mohammad, additional, Malinowski, Natalia, additional, Matthews, Jennifer L., additional, Mayor, Daniel J., additional, McConville, Malcolm J., additional, Mele, Pauline M., additional, Melvin, Steven D., additional, Miller, Haylea C., additional, Miller, Rebecca E, additional, Mochida, Kazuhiko, additional, Nephali, Lerato, additional, Nguyen, Thao V., additional, Nizio, Katie D., additional, O’Brien, Allyson L., additional, O’Callaghan, Sean, additional, Oakley, Clinton A., additional, Oliveira Pereira, Erico A., additional, Opperman, Hugo, additional, Oravec, Michal, additional, Palombo, Enzo A., additional, Paten, Amy M., additional, Pavagadhi, Shruti, additional, Peñuelas, Josep, additional, Pettigrove, Vincent J., additional, Pomfret, Sarah M., additional, Preece, Catherine, additional, Puzon, Geoffrey J., additional, Pyke, James, additional, Ralph, Peter, additional, Reid, Rebecca, additional, Reverter, Miriam, additional, Ritmejerytė, Edita, additional, Rochfort, Simone J., additional, Roessner, Ute, additional, Sardans, Jordi, additional, Sasal, Pierre, additional, Schimel, Joshua P., additional, Shah, Rohan M., additional, Simpson, Myrna J., additional, Sinclair, Georgia M., additional, Sommer, Ulf, additional, De Souza, David P., additional, Steenkamp, Paul, additional, Stephenson, Sarah, additional, Steven, Andy D.L., additional, Swarup, Sanjay, additional, Tapissier-Bontemps, Nathalie, additional, Taylor, Matthew C., additional, Tugizimana, Fidele, additional, Tull, Dedreia L., additional, Umashankar, Shivshankar, additional, Urban, Otmar, additional, Viant, Mark R., additional, Villa, C. Alexander, additional, Wallenstein, Matthew D., additional, Warden, Andrew C., additional, Weis, Virginia M., additional, Whiteley, Andrew S., additional, Williams, Michelle R., additional, Witson-Williams, Raphael, additional, Yeap, Yoon Ting, additional, and Yu, Zhihao, additional

Published
2022
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5. Metabolomics approaches for the discrimination of disease suppressive soils for Rhizoctonia solani AG8 in cereal crops using 1H NMR and LC-MS

Author

Hayden, Helen L., Rochfort, Simone J., Ezernieks, Vilnis, Savin, Keith W., Mele, Pauline M., Hayden, Helen L., Rochfort, Simone J., Ezernieks, Vilnis, Savin, Keith W., and Mele, Pauline M.

Abstract

The suppression of soilborne crop pathogens such as Rhizoctonia solani AG8 may offer a sustainable and enduring method for disease control, though soils with these properties are difficult to identify. In this study, we analysed the soil metabolic profiles of suppressive and non-suppressive soils over 2 years of cereal production. We collected bulk and rhizosphere soil at different cropping stages and subjected soil extracts to liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance spectroscopy (1H NMR) analyses. Community analyses of suppressive and non-suppressive soils using principal component analyses and predictive modelling of LC-MS and NMR datasets respectively, revealed distinct biochemical profiles for the two soil types with clustering based on suppressiveness and cropping stage. NMR spectra revealed the suppressive soils to be more abundant in sugar molecules than non-suppressive soils, which were more abundant in lipids and terpenes. LC-MS features that were significantly more abundant in the suppressive soil were identified and assessed as potential biomarkers for disease suppression. The structures of a potential class of LC-MS biomarkers were elucidated using accurate mass data and MS fragmentation spectrum information. The most abundant compound found in association with suppressive soils was confirmed to be a macrocarpal, which is an antimicrobial secondary metabolite. Our study has demonstrated the utility of environmental metabolomics for the study of disease suppressive soils, resulting in the discovery of a macrocarpal biomarker for R. solani AG8 suppressive soil which can be further studied functionally in association with suppression pot trials and microbial isolation studies.

Published
2019
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6. Metabolomics approaches for the discrimination of disease suppressive soils for Rhizoctonia solani AG8 in cereal crops using 1 H NMR and LC-MS.

Author

Hayden HL, Rochfort SJ, Ezernieks V, Savin KW, and Mele PM

Subjects
Chromatography, Liquid, Edible Grain growth & development, Edible Grain microbiology, Mass Spectrometry, Proton Magnetic Resonance Spectroscopy, Rhizosphere, Metabolomics methods, Plant Diseases prevention & control, Rhizoctonia physiology, Soil chemistry, Soil Microbiology
Abstract

The suppression of soilborne crop pathogens such as Rhizoctonia solani AG8 may offer a sustainable and enduring method for disease control, though soils with these properties are difficult to identify. In this study, we analysed the soil metabolic profiles of suppressive and non-suppressive soils over 2 years of cereal production. We collected bulk and rhizosphere soil at different cropping stages and subjected soil extracts to liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance spectroscopy ( 1 H NMR) analyses. Community analyses of suppressive and non-suppressive soils using principal component analyses and predictive modelling of LC-MS and NMR datasets respectively, revealed distinct biochemical profiles for the two soil types with clustering based on suppressiveness and cropping stage. NMR spectra revealed the suppressive soils to be more abundant in sugar molecules than non-suppressive soils, which were more abundant in lipids and terpenes. LC-MS features that were significantly more abundant in the suppressive soil were identified and assessed as potential biomarkers for disease suppression. The structures of a potential class of LC-MS biomarkers were elucidated using accurate mass data and MS fragmentation spectrum information. The most abundant compound found in association with suppressive soils was confirmed to be a macrocarpal, which is an antimicrobial secondary metabolite. Our study has demonstrated the utility of environmental metabolomics for the study of disease suppressive soils, resulting in the discovery of a macrocarpal biomarker for R. solani AG8 suppressive soil which can be further studied functionally in association with suppression pot trials and microbial isolation studies., (Crown Copyright © 2018. Published by Elsevier B.V. All rights reserved.)

Published
2019
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7. Class targeted metabolomics: ESI ion trap screening methods for glucosinolates based on MSn fragmentation.

Author

Rochfort SJ, Trenerry VC, Imsic M, Panozzo J, and Jones R

Subjects
Brassica chemistry, Brassica napus chemistry, Glucosinolates analysis, Glucosinolates metabolism, Molecular Structure, Mustard Plant chemistry, Seeds chemistry, Spectrometry, Mass, Electrospray Ionization, Glucosinolates chemistry
Abstract

Glucosinolates are naturally occurring anionic secondary plant metabolites incorporating a thioglucosidic link to the carbon of a sulphonated oxime. There are a large number of naturally occurring glucosinolates and they are found in relatively large quantities in many plant species within the family Crucifereae. These metabolites are of interest for both their anticancer and flavour properties and in the study of nitrogen and sulphur metabolism in model plants such as Arabidopsis. Parent ion mapping is an analytical mass spectrometry approach that allows rapid assessment of glucosinolate content. Ion mapping proved to be highly sensitive and the glucosinolate sinigrin could be detected at three parts per trillion. This method takes advantage of the glucosinolate anion fragmentation which consistently produces a sulphonate ring-opened glucose moiety in the ion trap mass spectrometer, m/z 259. An intramolecular transfer mechanism for this fragmentation is presented here for the first time. This fragmentation can be exploited as a general identifier of the glucosinolate class of metabolites in plant extracts and in LCMSn can be employed provide positive identification and quantification of individual glucosinolates. Such approaches offer sensitive tools for focused metabolomics analysis and screening of plant breeding lines.

Published
2008
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