Literature DB >> 31923321

Metabolomics should be deployed in the identification and characterization of gene-edited crops.

Paul D Fraser1, Asaph Aharoni2, Robert D Hall3,4,5, Sanwen Huang6,7, James J Giovannoni8, Uwe Sonnewald9, Alisdair R Fernie10.   

Abstract

Gene-editing techniques are currently revolutionizing biology, allowing far greater precision than previous mutagenic and transgenic approaches. They are becoming applicable to a wide range of plant species and biological processes. Gene editing can rapidly improve a range of crop traits, including disease resistance, abiotic stress tolerance, yield, nutritional quality and additional consumer traits. Unlike transgenic approaches, however, it is not facile to forensically detect gene-editing events at the molecular level, as no foreign DNA exists in the elite line. These limitations in molecular detection approaches are likely to focus more attention on the products generated from the technology than on the process in itself. Rapid advances in sequencing and genome assembly increasingly facilitate genome sequencing as a means of characterizing new varieties generated by gene-editing techniques. Nevertheless, subtle edits such as single base changes or small deletions may be difficult to distinguish from normal variation within a genotype. Given these emerging scenarios, downstream 'omics' technologies reflective of edited affects, such as metabolomics, need to be used in a more prominent manner to fully assess compositional changes in novel foodstuffs. To achieve this goal, metabolomics or 'non-targeted metabolite analysis' needs to make significant advances to deliver greater representation across the metabolome. With the emergence of new edited crop varieties, we advocate: (i) concerted efforts in the advancement of 'omics' technologies, such as metabolomics, and (ii) an effort to redress the use of the technology in the regulatory assessment for metabolically engineered biotech crops.
© 2020 The Authors The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  crop regulation; food system; genome-editing; metabolomics; substantial equivalence

Mesh:

Year:  2020        PMID: 31923321     DOI: 10.1111/tpj.14679

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  8 in total

1.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

2.  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 3.  Promoting Human Nutrition and Health through Plant Metabolomics: Current Status and Challenges.

Authors:  Wenli Sun; Zican Chen; Jun Hong; Jianxin Shi
Journal:  Biology (Basel)       Date:  2020-12-31

4.  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 5.  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

6.  The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava.

Authors:  Laura Perez-Fons; Tatiana M Ovalle; M N Maruthi; John Colvin; Luis Augusto Becerra Lopez-Lavalle; Paul D Fraser
Journal:  PLoS One       Date:  2020-11-18       Impact factor: 3.240

7.  Metabolomics Analyses Provide Insights Into Nutritional Value and Abiotic Stress Tolerance in Halophyte Halogeton glomeratus.

Authors:  Juncheng Wang; Ke Yang; Lirong Yao; Zengke Ma; Chengdao Li; Erjing Si; Baochun Li; Yaxiong Meng; Xiaole Ma; Xunwu Shang; Huajun Wang
Journal:  Front Plant Sci       Date:  2021-07-05       Impact factor: 5.753

Review 8.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  8 in total

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