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评估非转基因作物的生物学变异:2009 年 11 月 16-17 日,法国巴黎,国际生命科学学会健康与环境科学研究所研讨会执行摘要。

Evaluating biological variation in non-transgenic crops: executive summary from the ILSI Health and Environmental Sciences Institute workshop, November 16-17, 2009, Paris, France.

机构信息

ILSI Health and Environmental Sciences Institute, 1156 Fifteenth St, NW, Suite 200, Washington, DC 20005, USA.

出版信息

Regul Toxicol Pharmacol. 2010 Dec;58(3 Suppl):S2-7. doi: 10.1016/j.yrtph.2010.06.017. Epub 2010 Jul 6.

DOI:10.1016/j.yrtph.2010.06.017
PMID:20615445
Abstract

The International Life Sciences Institute Health and Environmental Sciences Institute Protein Allergenicity Technical Committee hosted an international workshop November 16-17, 2009, in Paris, France, with over 60 participants from academia, government, and industry to review and discuss the potential utility of "-omics" technologies for assessing the variability in plant gene, protein, and metabolite expression. The goal of the workshop was to illustrate how a plant's constituent makeup and phenotypic processes can be surveyed analytically. Presentations on the "-omics" techniques (i.e., genomics, proteomics, and metabolomics) highlighted the workshop, and summaries of these presentations are published separately in this supplemental issue. This paper summarizes key messages, as well as the consensus points reached, in a roundtable discussion on eight specific questions posed during the final session of the workshop. The workshop established some common, though not unique, challenges for all "-omics" techniques, and include (a) standardization of separation/extraction and analytical techniques; (b) difficulty in associating environmental impacts (e.g., planting, soil texture, location, climate, stress) with potential alterations in plants at genomic, proteomic, and metabolomic levels; (c) many independent analytical measurements, but few replicates/subjects--poorly defined accuracy and precision; and (d) bias--a lack of hypothesis-driven science. Information on natural plant variation is critical in establishing the utility of new technologies due to the variability in specific analytes that may result from genetic differences (crop genotype), different crop management practices (conventional high input, low input, organic), interaction between genotype and environment, and the use of different breeding methods. For example, variations of several classes of proteins were reported among different soybean, rice, or wheat varieties or varieties grown at different locations. Data on the variability of allergenic proteins are important in defining the risk of potential allergenicity. Once established as a standardized assay, survey approaches such as the "-omics" techniques can be considered in a hypothesis-driven analysis of plants, such as determining unintended effects in genetically modified (GM) crops. However, the analysis should include both the GM and control varieties that have the same breeding history and exposure to the same environmental conditions. Importantly, the biological relevance and safety significance of changes in "-omic" data are still unknown. Furthermore, the current compositional assessment for evaluating the substantial equivalence of GM crops is robust, comprehensive, and a good tool for food safety assessments. The overall consensus of the workshop participants was that many "-omics" techniques are extremely useful in the discovery and research phases of biotechnology, and are valuable for hypothesis generation. However, there are many methodological shortcomings identified with "-omics" approaches, a paucity of reference materials, and a lack of focused strategy for their use that currently make them not conducive for the safety assessment of GM crops.

摘要

国际生命科学学会-环境卫生学会蛋白质致敏性技术委员会于 2009 年 11 月 16 日至 17 日在法国巴黎举办了一次国际研讨会,来自学术界、政府和工业界的 60 多名代表参加了会议,旨在审查和讨论“组学”技术在评估植物基因、蛋白质和代谢物表达变异性方面的潜在应用。研讨会的目标是说明如何对植物的组成和表型过程进行分析性调查。有关“组学”技术(即基因组学、蛋白质组学和代谢组学)的介绍是研讨会的重点,这些介绍的摘要分别在本增刊中发表。本文总结了研讨会最后一次会议期间提出的八个具体问题的圆桌讨论中的关键信息和达成的共识。研讨会确定了所有“组学”技术共同面临的一些但并非唯一的挑战,包括:(a) 分离/提取和分析技术的标准化;(b) 难以将环境影响(例如种植、土壤质地、位置、气候、胁迫)与植物在基因组、蛋白质组和代谢组水平上的潜在变化联系起来;(c) 许多独立的分析测量,但只有少数重复/样本——定义不准确的准确性和精密度;以及 (d) 偏差——缺乏假设驱动的科学。由于特定分析物可能因遗传差异(作物基因型)、不同的作物管理实践(常规高投入、低投入、有机)、基因型与环境的相互作用以及不同的育种方法而产生,因此有关天然植物变异的信息对于确定新技术的实用性至关重要。例如,在不同的大豆、水稻或小麦品种或在不同地点种植的品种中,报道了几类蛋白质的变异。变应原蛋白变异性的数据对于确定潜在变应原性的风险很重要。一旦作为标准化测定建立,“组学”技术等调查方法可以用于对植物进行假设驱动分析,例如确定转基因(GM)作物中的意外影响。然而,分析应包括具有相同育种历史和暴露于相同环境条件的 GM 品种和对照品种。重要的是,“组学”数据变化的生物学相关性和安全性意义尚不清楚。此外,目前用于评估 GM 作物实质等同性的成分评估是稳健的、全面的,并且是食品安全评估的良好工具。研讨会参与者的总体共识是,许多“组学”技术在生物技术的发现和研究阶段非常有用,并且对于假设生成很有价值。然而,“组学”方法存在许多方法学缺陷,缺乏参考材料,并且缺乏针对其使用的集中策略,这使得它们目前不利于 GM 作物的安全性评估。

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