As the breakthrough in gene editing, represented by CRISPR/Cas9, gene manipulations now are more maneuverable, economically feasible and time saving. It is possible for China to catch an overtaking in researching and industrializing of downside sections (especially the application of plant gene editing), also the incubation of professional companies in gene editing fields. For this consideration, it is necessary and urgent to find the key demands and potential application for gene editing in China. Questionnaire and statistic analysis were carried out to find the key demands and the most potential application fields of the development for gene editing. Firstly, an ordered multi-classification Logistic regression model was established following with dependent variable analysis. Eight out of 24 questionnaires questions in 4 categories were regarded as independent variables with significance test. Then, regression model based on ordered multi-classification logistic method was established to analyze the specific impact of different options on the development of gene editing. The results showed that most researchers in the field of gene editing take the view that development of potential competitive advantages lies in the field of plant science. The results also showed that major gene editing experts believe more attention should be paid on how to carry out technology industrialization while focusing on basic technology development, as well as the development of potential competitive advantages of gene editing technology in plant field. To promote the development of gene editing in China, not only the participation of scientific research institution was needed, but also the synergy of various forces both universities and governments. It is urgent both properly guiding public opinion on gene editing and establishing a national safety standard system. At the same time, the key point of technology risk avoidance should be put on biological weapons and bioterrorism, gene editing related infectious disease, and the potential risk of species genetic change on the ecological environment, etc.
中国工程院咨询研究项目 (No. 2018-XY-63) 资助。