Literature DB >> 30361071

Contribution of Untargeted Metabolomics for Future Assessment of Biotech Crops.

Bastien Christ1, Tomáš Pluskal1, Sylvain Aubry2, Jing-Ke Weng3.   

Abstract

The nutritional value and safety of food crops are ultimately determined by their chemical composition. Recent developments in the field of metabolomics have made it possible to characterize the metabolic profile of crops in a comprehensive and high-throughput manner. Here, we propose that state-of-the-art untargeted metabolomics technology should be leveraged for safety assessment of new crop products. We suggest generally applicable experimental design principles that facilitate the efficient and rigorous identification of both intended and unintended metabolic alterations associated with a newly engineered trait. Our proposition could contribute to increased transparency of the safety assessment process for new biotech crops.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  breeding; genetically engineered crops; risk assessment; untargeted metabolomics

Mesh:

Year:  2018        PMID: 30361071     DOI: 10.1016/j.tplants.2018.09.011

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  10 in total

Review 1.  Metabolomics: a systems biology approach for enhancing heat stress tolerance in plants.

Authors:  Ali Raza
Journal:  Plant Cell Rep       Date:  2020-11-29       Impact factor: 4.570

2.  Combined nature and human selections reshaped peach fruit metabolome.

Authors:  Ke Cao; Bin Wang; Weichao Fang; Gengrui Zhu; Changwen Chen; Xinwei Wang; Yong Li; Jinlong Wu; Tang Tang; Zhangjun Fei; Jie Luo; Lirong Wang
Journal:  Genome Biol       Date:  2022-07-04       Impact factor: 17.906

3.  Placenta, Pericarp, and Seeds of Tabasco Chili Pepper Fruits Show a Contrasting Diversity of Bioactive Metabolites.

Authors:  Felipe Cervantes-Hernández; Paul Alcalá-González; Octavio Martínez; José Juan Ordaz-Ortiz
Journal:  Metabolites       Date:  2019-09-28

Review 4.  Metabolomics to Characterize Adaptive and Signaling Responses in Legume Crops under Abiotic Stresses.

Authors:  Paula C P Bueno; Norberto P Lopes
Journal:  ACS Omega       Date:  2020-01-24

5.  Obligatory metabolomic profiling of gene-edited crops is risk disproportionate.

Authors:  Maria Fedorova; Rod A Herman
Journal:  Plant J       Date:  2020-07-20       Impact factor: 6.417

Review 6.  Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops.

Authors:  Mohamed Bedair; Kevin C Glenn
Journal:  Metabolomics       Date:  2020-10-09       Impact factor: 4.290

7.  Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses.

Authors:  Seon-Woo Oh; Eun-Ha Kim; So-Young Lee; Da-Young Baek; Sang-Gu Lee; Hyeon-Jung Kang; Young-Soo Chung; Soon-Ki Park; Tae-Hun Ryu
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

8.  Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.).

Authors:  Malachy T Campbell; Haixiao Hu; Trevor H Yeats; Melanie Caffe-Treml; Lucía Gutiérrez; Kevin P Smith; Mark E Sorrells; Michael A Gore; Jean-Luc Jannink
Journal:  Genetics       Date:  2021-03-31       Impact factor: 4.562

9.  Transparency in risk-disproportionate regulation of modern crop-breeding techniques.

Authors:  Rod A Herman; Nicholas P Storer; Jennifer A Anderson; Firoz Amijee; Filip Cnudde; Alan Raybould
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

Review 10.  Advances in Metabolomics-Driven Diagnostic Breeding and Crop Improvement.

Authors:  Ali Razzaq; David S Wishart; Shabir Hussain Wani; Muhammad Khalid Hameed; Muhammad Mubin; Fozia Saleem
Journal:  Metabolites       Date:  2022-06-02
  10 in total

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