4.7 Review

Improving plant heat tolerance through modification of Rubisco activase in C3 plants to secure crop yield and food security in a future warming world

期刊

JOURNAL OF EXPERIMENTAL BOTANY
卷 74, 期 2, 页码 591-599

出版社

OXFORD UNIV PRESS
DOI: 10.1093/jxb/erac340

关键词

Crop yield; food safety; global warming; heat tolerance; photosynthesis; Rubisco; Rubisco activase

向作者/读者索取更多资源

The thermal sensitivity of Rubisco activase is a contributing factor to crop failure under heat stress. Developing heat-tolerant Rubisco activase is crucial for improving crops and ensuring food security.
Thermal sensitivity of Rubisco activase is one factor leading to crop failure under heat stress. Recent evidence is reviewed and used to formulate a hypothesis to develop heat-tolerant Rubisco activase for crop improvement. The world's population may reach 10 billion by 2050, but 10% still suffer from food shortages. At the same time, global warming threatens food security by decreasing crop yields, so it is necessary to develop crops with enhanced resistance to high temperatures in order to secure the food supply. In this review, the role of Rubisco activase as an important factor in plant heat tolerance is summarized, based on the conclusions of recent findings. Rubisco activase is a molecular chaperone determining the activation of Rubisco, whose heat sensitivity causes reductions of photosynthesis at high temperatures. Thus, the thermostability of Rubisco activase is considered to be critical for improving plant heat tolerance. It has been shown that the introduction of thermostable Rubisco activase through gene editing into Arabidopsis thaliana and from heat-adapted wild Oryza species or C-4 Zea mays into Oryza sativa improves Rubisco activation, photosynthesis, and plant growth at high temperatures. We propose that developing a universal thermostable Rubisco activase could be a promising direction for further studies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据