ReviewNature plants2026
Cereal protein biofortification at the interface of nutrition, yield and sustainability.
Review in Nature plants, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Development of low-prolamin rice germplasm via CRISPR/Cas9 editing to improve eating and cooking quality.Journal of integrative plant biology · 2026Article
- Rice Protein as an Alternative Ingredient for Sustainable Food Formulations: Nutritional Quality, Functional Properties, Health-promoting Potential, and Emerging Applications.Plant foods for human nutrition (Dordrecht, Netherlands) · 2026Review
- Climate-Resilient Bread Wheat for Arid Environments: Adaptation and Yield Performance of Diverse Genotypes Across Contrasting Growing Conditions.Plants (Basel, Switzerland) · 2026Article
- Coordinated regulation of amino acid metabolism and transport in cereal nitrogen remobilization for grain filling.Frontiers in plant science · 2026Review
- Genome editing ofCurrent research in food science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Protein malnutrition remains a major global health challenge, particularly in regions where cereal grains dominate daily diets and access to diverse protein sources is limited. Cereals such as rice, wheat and maize provide most of the world's calories, yet their grain proteins are often low in essential amino acids and poorly balanced for human nutrition. Improving both the quantity and quality of cereal protein therefore represents a critical opportunity to enhance human health while reducing reliance on environmentally intensive animal-based foods. In this Review, we synthesize recent advances in understanding how grain protein content and composition are regulated in cereals, and why protein enhancement has historically been constrained by trade-offs with starch accumulation and yield. We discuss how domestication and modern breeding reshaped carbon and nitrogen allocation in cereal grains, creating a starch-dominant optimum that limits protein concentration. Drawing on genetic studies from rice, maize and wheat, we highlight emerging strategies that improve nitrogen acquisition, amino acid transport, storage protein composition and endosperm buffering capacity, enabling partial decoupling of protein accumulation from yield penalties. Finally, we place cereal protein biofortification within a broader nutritional and environmental context. Enhancing protein density and amino acid balance in staple cereals can improve dietary adequacy for vulnerable populations while lowering greenhouse gas emissions per unit of nutrition. Together, these insights position cereal protein biofortification as a scalable and equitable pathway towards healthier diets and more sustainable food systems under global climate and population pressures.
Indexed as
Identifiers
41917445What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.