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多组学系统分析生物育种产品非期望效应的研究进展

高宇 韩天意 贺晓云 程楠 刘威辰 付伟 黄昆仑 陈红

生物技术进展2026,Vol.16Issue(4):732-743,12.
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生物技术进展2026,Vol.16Issue(4):732-743,12.DOI:10.19586/j.2095-2341.2026.0025

多组学系统分析生物育种产品非期望效应的研究进展

Research Progress on Multi-omics Systematic Analysis of Unintended Effects in Biotechnology-derived Breeding Products

高宇 1韩天意 1贺晓云 1程楠 1刘威辰 2付伟 3黄昆仑 1陈红3

作者信息

  • 1. 中国农业大学食品科学与营养工程学院,北京 100083
  • 2. 中国质量检验检测科学研究院,北京 100176
  • 3. 农业农村部科技发展中心,北京 100176
  • 折叠

摘要

Abstract

With the accelerating commercialization of genetically modified(GM)and gene-edited(GE)crops within global agri-cultural trade,the accurate identification of potential unintended effects(UEs)in biotechnology-derived breeding products has become a central issue in biosafety assessment.For a long duration,the evaluation system has relied largely on the principle of"substantial equivalence",wherein targeted detection technologies have played a significant role in assessing conventional physi-cochemical indicators.However,traditional methods struggle to capture complex molecular variations.Moreover,conventional"bulk multi-omics"analysis tends to mask cellular heterogeneity,failing to detect rare variants and their intricate microenviron-mental interactions at the microscopic level.This review summarized recent advances in the application of multi-omics technolo-gies for evaluating unintended effects in biotech breeding products.It focused on the potential of emerging technologies such as single-cell omics and spatial omics in deciphering tissue-specific unintended effects.Furthermore,the article provided an in-depth analysis of how non-targeted multi-omics—encompassing genomics,transcriptomics,proteomics,and metabolomics—en-able the comprehensive profiling of multi-layered molecular variations through full-spectrum scanning.Finally,the article ex-plored the challenges and prospects of integrated multi-omics data analysis and artificial intelligence(AI)in future biosafety reg-ulatory frameworks.Therefore,a systems biology strategy integrating multi-dimensional omics data,combined with machine learning and artificial intelligence,represents a crucial trend toward achieving comprehensive and precise food safety and unin-tended effects assessment of biotech breeding products.

关键词

生物育种产品/非期望效应/多组学/单细胞组学/空间组学/生物安全评价

Key words

biotechnology-derived breeding products/unintended effects/multi-omics/single-cell omics/spatial omics/biosafety assessment

分类

生物科学

引用本文复制引用

高宇,韩天意,贺晓云,程楠,刘威辰,付伟,黄昆仑,陈红..多组学系统分析生物育种产品非期望效应的研究进展[J].生物技术进展,2026,16(4):732-743,12.

基金项目

农业生物育种重大专项(2023ZD0406304). (2023ZD0406304)

生物技术进展

2095-2341

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