Unintended effects in genetically modified crops: Revealed by metabolomics?

Research output: Contribution to journalArticleScientificpeer-review

73 Citations (Scopus)

Abstract

In Europe the commercialization of food derived from genetically modified plants has been slow because of the complex regulatory process and the concerns of consumers. Risk assessment is focused on potential adverse effects on humans and the environment, which could result from unintended effects of genetic modifications: unintended effects are connected to changes in metabolite levels in the plants. One of the major challenges is how to analyze the overall metabolite composition of GM plants in comparison to conventional cultivars, and one possible solution is offered by metabolomics. The ultimate aim of metabolomics is the identification and quantification of all small molecules in an organism; however, a single method enabling complete metabolome analysis does not exist. Given a comprehensive extraction method, a hierarchical strategy – starting with global fingerprinting and followed by complementary profiling attempts – is the most logical and economic approach to detect unintended effects in GM crops.
Original languageEnglish
Pages (from-to)102-104
Number of pages3
JournalTrends in Biotechnology
Volume24
Issue number3
DOIs
Publication statusPublished - 2006
MoE publication typeA1 Journal article-refereed

Fingerprint

Metabolomics
Metabolites
Crops
Genetically modified plants
Metabolome
Genetically Modified Plants
Risk assessment
Economics
Food
Molecules
Chemical analysis

Keywords

  • genetically modified (GM)
  • plants
  • metabolomics
  • human health
  • metabolic profiling

Cite this

@article{1d624258c4824ac2b91cd102cb39158a,
title = "Unintended effects in genetically modified crops: Revealed by metabolomics?",
abstract = "In Europe the commercialization of food derived from genetically modified plants has been slow because of the complex regulatory process and the concerns of consumers. Risk assessment is focused on potential adverse effects on humans and the environment, which could result from unintended effects of genetic modifications: unintended effects are connected to changes in metabolite levels in the plants. One of the major challenges is how to analyze the overall metabolite composition of GM plants in comparison to conventional cultivars, and one possible solution is offered by metabolomics. The ultimate aim of metabolomics is the identification and quantification of all small molecules in an organism; however, a single method enabling complete metabolome analysis does not exist. Given a comprehensive extraction method, a hierarchical strategy – starting with global fingerprinting and followed by complementary profiling attempts – is the most logical and economic approach to detect unintended effects in GM crops.",
keywords = "genetically modified (GM), plants, metabolomics, human health, metabolic profiling",
author = "Heiko Rischer and Kirsi-Marja Oksman-Caldentey",
year = "2006",
doi = "10.1016/j.tibtech.2006.01.009",
language = "English",
volume = "24",
pages = "102--104",
journal = "Trends in Biotechnology",
issn = "0167-7799",
publisher = "Elsevier",
number = "3",

}

Unintended effects in genetically modified crops : Revealed by metabolomics? / Rischer, Heiko; Oksman-Caldentey, Kirsi-Marja.

In: Trends in Biotechnology, Vol. 24, No. 3, 2006, p. 102-104.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Unintended effects in genetically modified crops

T2 - Revealed by metabolomics?

AU - Rischer, Heiko

AU - Oksman-Caldentey, Kirsi-Marja

PY - 2006

Y1 - 2006

N2 - In Europe the commercialization of food derived from genetically modified plants has been slow because of the complex regulatory process and the concerns of consumers. Risk assessment is focused on potential adverse effects on humans and the environment, which could result from unintended effects of genetic modifications: unintended effects are connected to changes in metabolite levels in the plants. One of the major challenges is how to analyze the overall metabolite composition of GM plants in comparison to conventional cultivars, and one possible solution is offered by metabolomics. The ultimate aim of metabolomics is the identification and quantification of all small molecules in an organism; however, a single method enabling complete metabolome analysis does not exist. Given a comprehensive extraction method, a hierarchical strategy – starting with global fingerprinting and followed by complementary profiling attempts – is the most logical and economic approach to detect unintended effects in GM crops.

AB - In Europe the commercialization of food derived from genetically modified plants has been slow because of the complex regulatory process and the concerns of consumers. Risk assessment is focused on potential adverse effects on humans and the environment, which could result from unintended effects of genetic modifications: unintended effects are connected to changes in metabolite levels in the plants. One of the major challenges is how to analyze the overall metabolite composition of GM plants in comparison to conventional cultivars, and one possible solution is offered by metabolomics. The ultimate aim of metabolomics is the identification and quantification of all small molecules in an organism; however, a single method enabling complete metabolome analysis does not exist. Given a comprehensive extraction method, a hierarchical strategy – starting with global fingerprinting and followed by complementary profiling attempts – is the most logical and economic approach to detect unintended effects in GM crops.

KW - genetically modified (GM)

KW - plants

KW - metabolomics

KW - human health

KW - metabolic profiling

U2 - 10.1016/j.tibtech.2006.01.009

DO - 10.1016/j.tibtech.2006.01.009

M3 - Article

VL - 24

SP - 102

EP - 104

JO - Trends in Biotechnology

JF - Trends in Biotechnology

SN - 0167-7799

IS - 3

ER -