生物多样性 ›› 2010, Vol. 18 ›› Issue (3): 215-226.DOI: 10.3724/SP.J.1003.2010.215

• 论文 •    下一篇

利用决策树方法建立转基因植物环境生物安全评价诊断平台

王磊, 杨超, 卢宝荣()   

  1. 复旦大学生命科学学院生态与进化生物学系, 教育部生物多样性与生态工程重点实验室, 上海 200433
  • 收稿日期:2010-01-13 接受日期:2010-04-28 出版日期:2010-05-20 发布日期:2012-02-08
  • 通讯作者: 卢宝荣
  • 作者简介: E-mail: brlu@fudan.edu.cn
  • 基金资助:
    转基因生物新品种培育重大科技专项(2008ZX08011-006)

Establishing diagnostic platform for environmental biosafety assessment of genetically modified plants based on the decision-tree method

Lei Wang, Chao Yang, Bao-Rong Lu()   

  1. Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary Biology, School of Life Science, Fudan University, Shanghai 200433
  • Received:2010-01-13 Accepted:2010-04-28 Online:2010-05-20 Published:2012-02-08
  • Contact: Bao-Rong Lu

摘要:

转基因技术及其产品是解决世界粮食问题的重要途径之一, 但是包括食品和环境安全在内的转基因生物安全评价是转基因技术及其产品商品化应用的前提和保证。现有的人为生物安全评价方法存在着一定的不足, 难以应对数量日益增加和内容日趋复杂的转基因产品的安全评价需求, 因此找寻一种客观和高效的评价方法势在必行。决策树(decision tree)方法是现今广泛使用的数据挖掘和分析的决策方法之一, 通过将需要解答问题的层层分解并分别解决, 最终得到理想的决策结果, 在处理复杂问题方面具有独特的优势。本文旨在通过介绍决策树的概念、特性、种类及其构建方法, 探索将决策树方法应用于建立转基因植物环境生物安全评价诊断平台的可行性, 并分析构建的诊断平台在高效、准确和客观地进行转基因植物环境生物安全评价, 以及对新一代转基因产品环境安全性的预测和普及环境安全知识等方面的优势, 为进一步推动转基因技术的发展和转基因产品的安全利用奠定基础。

关键词: 决策, 转基因植物, 风险评价, 生态风险, 人机对话

Abstract

Transgenic biotechnology and its products provide important solutions for the great challenge of global food security. Biosafety assessment of genetically modified organisms (GMOs) including their food and environmental safety is a prerequisite for the commercialization and safe application of transgenic biotechnology products. However, existing methodologies cannot meet the urgent requirements for rapid biosafety assessment of the increasing number of new and sophisticated GMOs. Therefore, a new, more efficient and objective biosafety assessment methodology is needed. The decision tree, a widely used methodology for data mining and analysis, has a particular function in solving complicated problems. This article introduces the concepts, characteristics, and categorization of a decision tree, as well as methods for decision tree construction. Our objective is to explore the potential of establishing a diagnostic platform for biosafety assessment of GMOs in an efficient and accurate way. This biosafety assessment platform should also be useful for predicting the safety of the new generation of GMOs, and for educating the public on environmental biosafety, thereby providing a solid base for further development of transgenic technology and safe application of transgenic products.

Key words: decision making, transgenic crop, risk assessment, ecological risk, human-computer dialogue