Evolution, Genomics, Metabolism, and Biotechnology for Cereal Crop Improvements

A special issue of Plants (ISSN 2223-7747).

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1182

Special Issue Editors

College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China
Interests: crop functional genomics; cereal crop transformation; grain quality; carbohydrate metabolism; cereal nutritional quality; sorghum; maize; wheat
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Guest Editor
College of Life Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China
Interests: crop functional genomics; grain quality; wheat nutritional quality; wheat; transgenic wheat
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Guest Editor
School of Chemistry and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430074, China
Interests: multi-omics; next-generation sequencing; plant metabolism and nutritional and functional quality; genetic regulation of the metabolism in cereal crops
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Special Issue Information

Dear Colleagues,

Cereal crops include both major staple food crops (etc. rice, maize, wheat and barley) and minor crops, such as sorghum, millet, pearl millet and teff, which have been widely used for or considered as promising sources of staple foods, coarse crops, forage and silage crops, fibers, and bioenergy crops. However, several factors have been threatening the global production of cereal crops: (1) world population is increasing, demanding more foods; (2) global climate change is leading to a frequent occurrence of extreme climates, requiring higher environmental adaptability to biotic and abiotic stresses; (3) water resources for the agricultural use are gradually decreasing and the land for superior agricultural production are degrading, putting forward higher yield and water and nutrient use efficiency of crops; (4) the trend of eating nutritious staple foods (such as whole-grain staples) demands the breading of crop varieties with better quality.

At present, to confront the challenges in crop improvement and to design modern varieties of cereal crops with higher yield, better environmental adaptability and better quality, molecular genetics, genomics (especially the evolutionary genomics and comparative genomics), mutli-omics and biotechnology approaches have been integrated in the up- and down-stream lines of molecular breading of crops. The major biotechnological tools for cereal crop improvements include (but not limited to) map-based cloning, marker-assisted selection, genomic selection, QTL-mapping, GWAS, metabolic analyses, integrative multi-omics analyses, transgenic and gene editing technologies, as well as nano-agricultural biotechnologies. As such, we develop this Special Issue as a continuation of our previous Special Issue “Genetics, Genomics and Biotechnology for Cereal Crop Improvements” to provide an updated forum with which to address these problems and present new strategies and progress towards the improvement of cereal crop species. In addition, the basic and applied researches for many understudied cereal crops have been greatly fallen behind compared to those of the model crops (e.g., rice), and such situations may be due to, at least partly, difficulties in traditional genetics methods (map-based cloning and QTL-mapping) and transformation and gene editing. As such, we emphasize that the involvement and integration of the above-mentioned approaches will help advance our understanding towards the evolution, domestication, genetics and genomics, metabolism of cereal crops (especially those understudied while potentially holding promise for the future climate-smart crops), thereby contributed to biotechnological applications and genetic improvement of cereal crops. 

Dr. Yin Li
Dr. Junli Chang
Dr. Min Tu
Guest Editors

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Keywords

  • cereals crops
  • molecular genetics
  • molecular breeding
  • functional genomics
  • evolutionary genomics
  • comparative genomics
  • multi-omics
  • metabolic analyses
  • biotechnology
  • transgenic crops
  • gene editing
  • gene regulation
  • crop nano-biotechnology
  • crop improvement

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Published Papers (1 paper)

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25 pages, 1790 KB  
Perspective
Towards a Holistic View of the Orchestration Between Sugar Transporters in Cereal Crops
by Xin’er Qin, Guoli Wang, Li Li, Yanbin Deng, Junli Chang, Yin Li and Xiangling Shen
Plants 2026, 15(2), 201; https://doi.org/10.3390/plants15020201 - 8 Jan 2026
Viewed by 819
Abstract
Soluble sugars are the key photo-assimilates in higher plants, playing critical roles in growth, development, and stress regulation. The transport of sugars in plants involves the coordinated action between several sugar transporter families, including the SUT, STP, pGlcT, VGT, TMT, INT, PLT, SFP, [...] Read more.
Soluble sugars are the key photo-assimilates in higher plants, playing critical roles in growth, development, and stress regulation. The transport of sugars in plants involves the coordinated action between several sugar transporter families, including the SUT, STP, pGlcT, VGT, TMT, INT, PLT, SFP, and SWEET families. Over recent decades, numerous studies have elucidated the molecular functions of major sugar transporters. Phylogenetic and evolutionary analyses support the conservation of substrate specificity and transport direction, at least to some extent. Structural analyses have provided key insights into the structural–function relationships of important transporters (e.g., OsSWEET2b and AtSTP10), which can be effectively leveraged for artificial intelligence (AI)-enabled protein structure prediction and rational design. Advances in omics technologies now enable low-cost, routine transcriptome profiling and cutting-edge techniques (e.g., single-cell multi-omics and spatiotemporal RNA-seq), providing unprecedented ways to understand how sugar transporters function coordinately at multiple levels. Here, we describe the classification of major sugar transporters in plants and summarize established functional knowledge. We emphasize that recent groundbreaking advances in AI-enabled protein analyses and multi-omics will revolutionize molecular physiology in crops. Specifically, the integration of functional knowledge, AI-based protein analyses, and multi-omics will help unravel the orchestration of different sugar transporters, thereby enhancing our understanding of how sugar transportation and source–sink interactions contribute to crop development, yield formation, and beyond, ultimately boosting carbohydrate transport- related crop improvement. Full article
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