Gene-Edited Rice Can Produce a Compound That's Vital for Human Health

By Zhang Nannan

A team of Chinese scientists has used targeted gene editing to develop rice that produces coenzyme Q10 (CoQ₁₀), a vital compound for human health.

Led by Prof. Chen Xiaoya from the CAS Center for Excellence in Molecular Plant Sciences/Shanghai Chenshan Research Center and Prof. Gao Caixia from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences (CAS), the researchers used targeted gene editing to modify just five amino acids of the Coq1 rice enzyme, creating new rice varieties capable of synthesizing CoQ₁₀.

The study is published in Cell.

CoQ₁₀ is important for human health, especially heart protection. It is an essential component of the mitochondrial electron transport chain and serves as a fat-soluble antioxidant. Different species synthesize CoQ with different side-chain lengths.

Humans synthesize CoQ₁₀ with a side chain of 10 isoprene units (C50), while cereal food crops like rice and wheat, and certain vegetables and fruits, primarily synthesize CoQ₉, which contains nine isoprene units (C45).

The invention of CoQ₁₀-producing crops to substantially increase the CoQ₁₀ content in plant-based foods offers a cost-effective and environmentally friendly approach to nutritional fortification, offering great potential benefit.

The molecular mechanism underlying the variation in CoQ side-chain length was previously unclear. Thanks to the diverse plant collections at the Shanghai Chenshan Botanical Garden of the CAS Center for Excellence in Molecular Plant Sciences, the research team obtained 134 plant samples from 67 families, including mosses, clubmosses, ferns, gymnosperms, and angiosperms.

The researchers determined the distribution patterns of CoQ types in these species and revealed that CoQ₁₀ is an ancestral trait of flowering plants, with most plants still synthesizing CoQ₁₀. However, grasses, daisies, and cucurbit plants mainly produce CoQ₉.

After analyzing the evolutionary trajectories and natural variations of Coq1 enzymes across more than 1,000 terrestrial plant species, as well as by using machine learning, the researchers ultimately identified five amino acid sites that determine chain length.