References
-
Yu, H. & Li, J. Short- and long-term challenges in crop breeding. Natl. Sci. Rev. 8, nwab002 (2021).
-
Ray, D. K., Mueller, N. D., West, P. C. & Foley, J. A. Yield trends are insufficient to double global crop production by 2050. PLoS One 8, e66428 (2013).
-
Jia, H. et al. A serine/threonine protein kinase encoding gene KERNEL NUMBER PER ROW6 regulates maize grain yield. Nat. Commun. 11, 988 (2020).
-
Luo, Y. et al. Genetic variation in YIGE1 contributes to ear length and grain yield in maize. N. Phytol. 234, 513–526 (2022).
-
Guan, J. C. et al. Divisions of labor in the thiamin biosynthetic pathway among organs of maize. Front. Plant Sci. 5, 370 (2014).
-
Bocobza, S. E. et al. Orchestration of thiamin biosynthesis and central metabolism by combined action of the thiamin pyrophosphate riboswitch and the circadian clock in Arabidopsis. Plant Cell 25, 288–307 (2013).
-
Goyer, A. Thiamine in plants: aspects of its metabolism and functions. Phytochemistry 71, 1615–1624 (2010).
-
Li, X. et al. Maize GOLDEN2-LIKE genes enhance biomass and grain yields in rice by improving photosynthesis and reducing photoinhibition. Commun. Biol. 3, 151 (2020).
-
Liang, Y., Liu, H.J., Yan, J. & Tian, F. Natural variation in crops: realized understanding, continuing promise. Annu. Rev. Plant Biol. 72, 357–372 (2021).
-
Ning, Q. et al. An ethylene biosynthesis enzyme controls quantitative variation in maize ear length and kernel yield. Nat. Commun. 12, 5832 (2021).
-
Liu, L. et al. KRN4 controls quantitative variation in maize kernel row number. PLoS Genet 11, e1005670 (2015).
-
Wang, J. et al. krn1, a major quantitative trait locus for kernel row number in maize. N. Phytol. 223, 1634–1646 (2019).
-
Chen, W. et al. Convergent selection of a WD40 protein that enhances grain yield in maize and rice. Science 375, eabg7985 (2022).
-
Yang, N. et al. Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement. Nat. Genet. 51, 1052–1059 (2019).
-
Sun, Q. et al. A NAC-EXPANSIN module enhances maize kernel size by controlling nucellus elimination. Nat. Commun. 13, 5708 (2022).
-
Li, Y. X. et al. Cis-regulatory variation affecting gene expression contributes to the improvement of maize kernel size. Plant J. 111, 1595–1608 (2022).
-
Jin, M. et al. ZmCOL3, a CCT gene represses flowering in maize by interfering with the circadian clock and activating expression of ZmCCT. J. Integr. Plant Biol. 60, 465–480 (2018).
-
Su, H. et al. Identification of ZmNF-YC2 and its regulatory network for maize flowering time. J. Exp. Bot. 72, 7792–7807 (2021).
-
Liu, S. et al. Mapping regulatory variants controlling gene expression in drought response and tolerance in maize. Genome Biol. 21, 163 (2020).
-
Wang, X. et al. Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings. Nat. Genet 48, 1233–1241 (2016).
-
Sun, X. et al. The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize. Nat. Biotechnol. 41, 120–127 (2023).
-
Jiang, H. et al. Natural polymorphism of ZmICE1 contributes to amino acid metabolism that impacts cold tolerance in maize. Nat. Plants 8, 1176–1190 (2022).
-
Sun, G. et al. A role for heritable transcriptomic variation in maize adaptation to temperate environments. Genome Biol. 24, 55 (2023).
-
Rodriguez-Leal, D., Lemmon, Z. H., Man, J., Bartlett, M. E. & Lippman, Z. B. Engineering quantitative trait variation for crop improvement by genome editing. Cell 171, 470–480.e8 (2017).
-
Chen, K., Wang, Y., Zhang, R., Zhang, H. & Gao, C. CRISPR/Cas genome editing and precision plant breeding in agriculture. Annu Rev. Plant Biol. 70, 667–697 (2019).
-
Liu, L. et al. Enhancing grain-yield-related traits by CRISPR-Cas9 promoter editing of maize CLE genes. Nat. Plants 7, 287–294 (2021).
-
Wang, Y., Tang, Q., Pu, L., Zhang, H. & Li, X. CRISPR-Cas technology opens a new era for the creation of novel maize germplasms. Front. Plant Sci. 13, 1049803 (2022).
-
Li, S. et al. Improving yield-related traits by editing the promoter of the heading date gene Ehd1 in rice. Theor. Appl Genet. 136, 239 (2023).
-
Xiao, Y. et al. Genome-wide dissection of the maize ear genetic architecture using multiple populations. N. Phytol. 210, 1095–1106 (2016).
-
Pan, Q. et al. Genome-wide recombination dynamics are associated with phenotypic variation in maize. N. Phytol. 210, 1083–1094 (2016).
-
Peng, Y. et al. Chromatin interaction maps reveal genetic regulation for quantitative traits in maize. Nat. Commun. 10, 2632 (2019).
-
Marand, A. P. et al. The genetic architecture of cell type-specific cis regulation in maize. Science 388, eads6601 (2025).
-
Chen, L. et al. Genome sequencing reveals evidence of adaptive variation in the genus Zea. Nat. Genet. 54, 1736–1745 (2022).
-
Ertiro, B. T. et al. Comparison of kompetitive Allele specific PCR (KASP) and genotyping by sequencing (GBS) for quality control analysis in maize. BMC Genomics 16, 908 (2015).
-
Frank, R. A., Leeper, F. J. & Luisi, B. F. Structure, mechanism and catalytic duality of thiamine-dependent enzymes. Cell Mol. Life Sci. 64, 892–905 (2007).
-
Li, J., Kim, Y.J. & Zhang, D. Source-to-sink transport of sugar and its role in male reproductive development. Genes 13, 1323 (2022).
-
Li, M., Zhong, W., Yang, F. & Zhang, Z. Genetic and molecular mechanisms of quantitative trait loci controlling maize inflorescence architecture. Plant Cell Physiol. 59, 448–457 (2018).
-
Gerdes, S. et al. Plant B vitamin pathways and their compartmentation: a guide for the perplexed. J. Exp. Bot. 63, 5379–5395 (2012).
-
Woodward, J. B. et al. A maize thiamine auxotroph is defective in shoot meristem maintenance. Plant Cell 22, 3305–3317 (2010).
-
Wang, Y. et al. A spatial transcriptome map of the developing maize ear. Nat. Plants 10, 815–827 (2024).
-
Sun, Y. et al. Progressive meristem and single-cell transcriptomes reveal the regulatory mechanisms underlying maize inflorescence development and sex differentiation. Mol. Plant 17, 1019–1037 (2024).
-
Didangelos, T. et al. Efficacy and safety of the combination of palmitoylethanolamide, superoxide dismutase, alpha lipoic acid, vitamins B12, B1, B6, E, Mg, Zn and nicotinamide for 6 months in people with diabetic neuropathy. Nutrients 16, 3045 (2024).
-
Nozaki, S. et al. Thiamine tetrahydrofurfuryl disulfide improves energy metabolism and physical performance during physical-fatigue loading in rats. Nutr. Res. 29, 867–872 (2009).
-
Frelin, O. et al. Identification of mitochondrial thiamin diphosphate carriers from Arabidopsis and maize. Funct. Integr. Genomics 12, 317–326 (2012).
-
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).
-
Liu, H. et al. CRISPR-P 2.0: CRISPR-P 2.0: an improved CRISPR-Cas9 tool for genome editing in Plants. Mol. Plant 10, 530–532 (2017).
-
Li, C. et al. RNA-guided Cas9 as an in vivo desired-target mutator in maize. Plant Biotechnol. J. 15, 1566–1576 (2017).
-
Liu, H. J. et al. High-throughput CRISPR/Cas9 mutagenesis streamlines trait gene identification in maize. Plant Cell 32, 1397–1413 (2020).
-
Rao, X., Huang, X., Zhou, Z. & Lin, X. An improvement of the 2ˆ(-delta delta CT) method for quantitative real-time polymerase chain reaction data analysis. Biostat. Bioinforma. Biomath. 3, 71–85 (2013).
-
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
-
Lowe, K. et al. Rapid genotype “independent” Zea mays L. (maize) transformation via direct somatic embryogenesis. Vitr. Cell Dev. Biol. Plant 54, 240–252 (2018).
-
Yoo, S. D., Cho, Y. H. & Sheen, J. Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis. Nat. Protoc. 2, 1565–1572 (2007).
-
Huang, M. et al. Camouflage patterning in maize leaves results from a defect in porphobilinogen deaminase. Mol. Plant 2, 773–789 (2009).
-
Lee, B. L., Ong, H. Y. & Ong, C. N. Determination of thiamine and its phosphate esters by gradient-elution high-performance liquid chromatography. J. Chromatogr. 567, 71–80 (1991).
-
Zheng, H., Zhang, Q., Quan, J., Zheng, Q. & Xi, W. Determination of sugars, organic acids, aroma components, and carotenoids in grapefruit pulps. Food Chem. 205, 112–121 (2016).
-
Chen, W. et al. A novel integrated method for large-scale detection, identification, and quantification of widely targeted metabolites: application in the study of rice metabolomics. Mol. Plant 6, 1769–1780 (2013).
-
Salem, M. A., Jüppner, J., Bajdzienko, K. & Giavalisco, P. Protocol: a fast, comprehensive and reproducible one-step extraction method for the rapid preparation of polar and semi-polar metabolites, lipids, proteins, starch and cell wall polymers from a single sample. Plant Methods 12, 45 (2016).
-
Yan, S., Huang, W., Gao, J., Fu, H. & Liu, J. Comparative metabolomic analysis of seed metabolites associated with seed storability in rice (Oryza sativa L.) during natural aging. Plant Physiol. Biochem. 127, 590–598 (2018).
-
Ajjawi, I., Rodriguez Milla, M. A., Cushman, J. & Shintani, D. K. Thiamin pyrophosphokinase is required for thiamin cofactor activation in Arabidopsis. Plant Mol. Biol. 65, 151–162 (2007).
-
Rapala-Kozik, M., Gołda, A. & Kujda, M. Enzymes that control the thiamine diphosphate pool in plant tissues. Properties of thiamine pyrophosphokinase and thiamine-(di)phosphate phosphatase purified from Zea mays seedlings. Plant Physiol. Biochem. 47, 237–242 (2009).
