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Statements

Subject Item
n2:RIV%2F60461373%3A22330%2F13%3A43896664%21RIV14-MZE-22330___
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://www.agriculturejournals.cz/publicFiles/104977.pdf
dcterms:description
The feasibility of metabolomic fingerprinting approach based on ultra-high performance liquid chromatographyquadrupole-time-of-flight mass spectrometry (UHPLC-QTOFMS) was studied to assess its ability to discriminate between maize varieties, and to show the associations between them on the metabolomic level. The non-targeted metabolomic analysis was applied to assess the variability within two varieties grown under different environmental conditions and to characterise the association within a sample set comprising both conventional and transgenic (MON-??81?-6) maize varieties cultivated under the same environmental conditions (locality). Typical metabolomic fingerprints were established for individual plants. The plants representing two varieties formed well separated clusters. Metabolomic fingerprints of the second sample set enabled their unambiguous discrimination. The differences in metabolomic fingerprints between maize varieties were identified and documented by grouping in PCA and/or CA. The results indicate a similar genetic basis of transgenic maize varieties as they descend from a MON 810 event. The results explicitly showed that the variability of the metabolites in MON 810 did not exceed the ranges measured within the conventional varieties, thus supporting the concept of substantial equivalence. The feasibility of metabolomic fingerprinting approach based on ultra-high performance liquid chromatographyquadrupole-time-of-flight mass spectrometry (UHPLC-QTOFMS) was studied to assess its ability to discriminate between maize varieties, and to show the associations between them on the metabolomic level. The non-targeted metabolomic analysis was applied to assess the variability within two varieties grown under different environmental conditions and to characterise the association within a sample set comprising both conventional and transgenic (MON-??81?-6) maize varieties cultivated under the same environmental conditions (locality). Typical metabolomic fingerprints were established for individual plants. The plants representing two varieties formed well separated clusters. Metabolomic fingerprints of the second sample set enabled their unambiguous discrimination. The differences in metabolomic fingerprints between maize varieties were identified and documented by grouping in PCA and/or CA. The results indicate a similar genetic basis of transgenic maize varieties as they descend from a MON 810 event. The results explicitly showed that the variability of the metabolites in MON 810 did not exceed the ranges measured within the conventional varieties, thus supporting the concept of substantial equivalence.
dcterms:title
Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterize GM and conventional maize varieties Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterize GM and conventional maize varieties
skos:prefLabel
Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterize GM and conventional maize varieties Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterize GM and conventional maize varieties
skos:notation
RIV/60461373:22330/13:43896664!RIV14-MZE-22330___
n9:predkladatel
n10:orjk%3A22330
n3:aktivita
n11:P n11:Z
n3:aktivity
P(OC09062), P(QI101B267), Z(MSM6046137305)
n3:cisloPeriodika
4
n3:dodaniDat
n8:2014
n3:domaciTvurceVysledku
n4:8580588 n4:4423232 n4:2493403
n3:druhVysledku
n5:J
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
61836
n3:idVysledku
RIV/60461373:22330/13:43896664
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Metabolomics; Maize; Chemometric analysis
n3:klicoveSlovo
n13:Metabolomics n13:Chemometric%20analysis n13:Maize
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[51F4EE27A65D]
n3:nazevZdroje
Czech Journal of Food Sciences
n3:obor
n15:GE
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
6
n3:projekt
n7:QI101B267 n7:OC09062
n3:rokUplatneniVysledku
n8:2013
n3:svazekPeriodika
31
n3:tvurceVysledku
Kučera, Ladislav Hajšlová, Jana Demnerová, Kateřina Hodek, Jan Ovesná, Jaroslava Václavík, Lukáš
n3:wos
000322513900010
n3:zamer
n12:MSM6046137305
s:issn
1212-1800
s:numberOfPages
8
n6:organizacniJednotka
22330