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Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

ABSTRACT: There is current debate whether genetically modified (GM) plants might contain unexpected, potentially undesirable changes in overall metabolite composition. However, appropriate analytical technology and acceptable metrics of compositional similarity require development. We describe a comprehensive comparison of total metabolites in field-grown GM and conventional potato tubers using a hierarchical approach initiating with rapid metabolome "fingerprinting" to guide more detailed profiling of metabolites where significant differences are suspected. Central to this strategy are data analysis procedures able to generate validated, reproducible metrics of comparison from complex metabolome data. We show that, apart from targeted changes, these GM potatoes in this study appear substantially equivalent to traditional cultivars.

SUBMITTER: Catchpole GS

PROVIDER: S-EPMC1242293 | biostudies-literature | 2005 Oct

REPOSITORIES: biostudies-literature

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Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

Catchpole Gareth S GS Beckmann Manfred M Enot David P DP Mondhe Madhav M Zywicki Britta B Taylor Janet J Hardy Nigel N Smith Aileen A King Ross D RD Kell Douglas B DB Fiehn Oliver O Draper John J

Proceedings of the National Academy of Sciences of the United States of America 20050926 40

There is current debate whether genetically modified (GM) plants might contain unexpected, potentially undesirable changes in overall metabolite composition. However, appropriate analytical technology and acceptable metrics of compositional similarity require development. We describe a comprehensive comparison of total metabolites in field-grown GM and conventional potato tubers using a hierarchical approach initiating with rapid metabolome "fingerprinting" to guide more detailed profiling of me ...[more]

PMID: 16186495

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Project description:BackgroundIn this study, we assessed the actively metabolizing bacteria in the rhizosphere of potato using two potato cultivars, i.e. the genetically-modified (GM) cultivar Modena (having tubers with altered starch content) and the near-isogenic non-GM cultivar Karnico. To achieve our aims, we pulse-labelled plants at EC90 stage with (13)C-CO2 and analysed their rhizosphere microbial communities 24 h, 5 and 12 days following the pulse. In the analyses, phospholipid fatty acid/stable isotope probing (PLFA-SIP) as well as RNA-SIP followed by reverse transcription and PCR-DGGE and clone library analysis, were used to determine the bacterial groups that actively respond to the root-released (13)C labelled carbonaceous compounds.Methodology/principal findingsThe PLFA-SIP data revealed major roles of bacteria in the uptake of root-released (13)C carbon, which grossly increased with time. Gram-negative bacteria, including members of the genera Pseudomonas and Burkholderia, were strong accumulators of the (13)C-labeled compounds at the two cultivars, whereas Gram-positive bacteria were lesser responders. PCR-DGGE analysis of cDNA produced from the two cultivar types showed that these had selected different bacterial, alpha- and betaproteobacterial communities at all time points. Moreover, an effect of time was observed, indicating dynamism in the structure of the active bacterial communities. PCR-DGGE as well as clone library analyses revealed that the main bacterial responders at cultivar Karnico were taxonomically affiliated with the genus Pseudomonas, next to Gluconacetobacter and Paracoccus. Cultivar Modena mainly attracted Burkholderia, next to Moraxella-like (Moraxellaceae family) and Sphingomonas types.Conclusions/significanceBased on the use of Pseudomonas and Burkholderia as proxies for differentially-selected bacterial genera, we conclude that the selective forces exerted by potato cultivar Modena on the active bacterial populations differed from those exerted by cultivar Karnico.

Dataset Information

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

Publications

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

Similar Datasets

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