Sep 11, 2023
Suppressing ASPARTIC PROTEASE 1 prolongs photosynthesis and increases wheat grain weight
Nature Plants (2023)Cite
Nature Plants (2023)Cite this article
1 Altmetric
Metrics details
The elongation of photosynthesis, or functional staygreen, represents a feasible strategy to propel metabolite flux towards cereal kernels. However, achieving this goal remains a challenge in food crops. Here we report the cloning of wheat CO2 assimilation and kernel enhanced 2 (cake2), the mechanism underlying the photosynthesis advantages and natural alleles amenable to breeding elite varieties. A premature stop mutation in the A-genome copy of the ASPARTIC PROTEASE 1 (APP-A1) gene increased the photosynthesis rate and yield. APP1 bound and degraded PsbO, the protective extrinsic member of photosystem II critical for increasing photosynthesis and yield. Furthermore, a natural polymorphism of the APP-A1 gene in common wheat reduced APP-A1's activity and promoted photosynthesis and grain size and weight. This work demonstrates that the modification of APP1 increases photosynthesis, grain size and yield potentials. The genetic resources could propel photosynthesis and high-yield potentials in elite varieties of tetraploid and hexaploid wheat.
This is a preview of subscription content, access via your institution
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout
We deposited the raw sequencing data in the Gene Expression Omnibus Database under the accession code PRJNA861409. Correspondence and requests for other related information or materials should be addressed to the corresponding author. Source data are provided with this paper.
Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D. & Schroeder, J. I. Genetic strategies for improving crop yields. Nature 575, 109–118 (2019).
Article CAS PubMed PubMed Central Google Scholar
Batista-Silva, W. et al. Engineering improved photosynthesis in the era of synthetic biology. Plant Commun. 1, 100032 (2020).
Article PubMed PubMed Central Google Scholar
Singh, J. et al. Enhancing C3 photosynthesis: an outlook on feasible interventions for crop improvement. Plant Biotechnol. J. 12, 1217–1230 (2014).
Article CAS PubMed Google Scholar
Ort, D. R. et al. Redesigning photosynthesis to sustainably meet global food and bioenergy demand. Proc. Natl Acad. Sci. USA 112, 8529–8536 (2015).
Article CAS PubMed PubMed Central Google Scholar
Slattery, R. A. & Ort, D. R. Perspectives on improving light distribution and light use efficiency in crop canopies. Plant Physiol. 185, 34–48 (2021).
Article CAS PubMed Google Scholar
Cavanagh, A. P., South, P. F., Bernacchi, C. J. & Ort, D. R. Alternative pathway to photorespiration protects growth and productivity at elevated temperatures in a model crop. Plant Biotechnol. J. 20, 711–721 (2022).
Article CAS PubMed Google Scholar
Murchie, E. H. & Niyogi, K. K. Manipulation of photoprotection to improve plant photosynthesis. Plant Physiol. 155, 86–92 (2011).
Article CAS PubMed Google Scholar
Sokolov, V. A. On a possible way to increase the efficiency of photosynthesis. Dokl. Biochem. Biophys. 491, 98–100 (2020).
Article CAS PubMed Google Scholar
Taylor, S. H. et al. Faster than expected Rubisco deactivation in shade reduces cowpea photosynthetic potential in variable light conditions. Nat. Plants 8, 118–124 (2022).
Article CAS PubMed PubMed Central Google Scholar
Yoon, D.-K. et al. Transgenic rice overproducing Rubisco exhibits increased yields with improved nitrogen-use efficiency in an experimental paddy field. Nat. Food 1, 134–139 (2020).
Article CAS PubMed Google Scholar
Chen, J. et al. Genotypic variation in the grain photosynthetic contribution to grain filling in rice. J. Plant Physiol. 253, 153269 (2020).
Article CAS PubMed Google Scholar
Sanchez-Bragado, R. et al. New avenues for increasing yield and stability in C3 cereals: exploring ear photosynthesis. Curr. Opin. Plant Biol. 56, 223–234 (2020).
Article PubMed Google Scholar
Balazadeh, S. Stay-green not always stays green. Mol. Plant 7, 1264–1266 (2014).
Article CAS PubMed Google Scholar
Khan, H. A., Nakamura, Y., Furbank, R. T. & Evans, J. R. Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance. J. Exp. Bot. 72, 1271–1281 (2021).
Article CAS PubMed Google Scholar
Joshi, S. et al. Improved wheat growth and yield by delayed leaf senescence using developmentally regulated expression of a cytokinin biosynthesis gene. Front. Plant Sci. 10, 1285 (2019).
Article PubMed PubMed Central Google Scholar
Lucht, J. M. Public acceptance of plant biotechnology and GM crops. Viruses 7, 4254–4281 (2015).
Article PubMed PubMed Central Google Scholar
Stirbet, A., Lazár, D., Guo, Y. & Govindjee, G. Photosynthesis: basics, history and modelling. Ann. Bot. 126, 511–537 (2020).
Article CAS PubMed Google Scholar
Kuchel, H., Williams, K. J., Langridge, P., Eagles, H. A. & Jefferies, S. P. Genetic dissection of grain yield in bread wheat. I. QTL analysis. Theor. Appl. Genet. 115, 1029–1041 (2007).
Article CAS PubMed Google Scholar
Wang, C. Y. et al. Isolation of wheat mutants with higher grain phenolics to enhance anti-oxidant potential. Food Chem. 303, 125363 (2020).
Article CAS PubMed Google Scholar
Ramírez-González, R. H. et al. The transcriptional landscape of polyploid wheat. Science 361, eaar6089 (2018).
Article PubMed Google Scholar
Krasileva, K. V. et al. Uncovering hidden variation in polyploid wheat. Proc. Natl Acad. Sci. USA 114, E913–E921 (2017).
Article CAS PubMed PubMed Central Google Scholar
Pigolev, A. V. & Klimov, V. V. The green alga Chlamydomonas reinhardtii as a tool for in vivo study of site-directed mutations in PsbO protein of photosystem II. Biochem. (Mosc.) 80, 662–673 (2015).
Article CAS Google Scholar
Wang, S. et al. YR36/WKS1-mediated phosphorylation of PsbO, an extrinsic member of photosystem II, inhibits photosynthesis and confers stripe rust resistance in wheat. Mol. Plant 12, 1639–1650 (2019).
Article CAS PubMed Google Scholar
Lupton, F. G. H. Translocation of photosynthetic assimilates in wheat. Ann. Appl. Biol. 57, 355–364 (1966).
Article Google Scholar
Nass, H. G. & Reister, B. Grain filling period and grain yield relationships in spring wheat. Can. J. Plant Sci. 55, 673–678 (1975).
Article Google Scholar
Gebeyehou, G., Knott, D. R. & Baker, R. J. Rate and duration of grain filling in durum wheat cultivars. Crop Sci. 22, 337–340 (1982).
Article Google Scholar
Talbert, L. E., Lanning, S. P., Murphy, R. L. & Martin, J. M. Grain fill duration in twelve hard red spring wheat crosses. Crop Sci. 41, 1390–1395 (2001).
Article Google Scholar
Cook, J. P. et al. Genetic analysis of stay-green, yield, and agronomic traits in spring wheat. Crop Sci. 61, 383–395 (2021).
Article CAS Google Scholar
Chapman, E. A., Orford, S., Lage, J. & Griffiths, S. Delaying or delivering: identification of novel NAM-1 alleles that delay senescence to extend wheat grain fill duration. J. Exp. Bot. 72, 7710–7728 (2021).
Article CAS PubMed PubMed Central Google Scholar
Araus, J. L., Sanchez-Bragado, R. & Vicente, R. Improving crop yield and resilience through optimization of photosynthesis: panacea or pipe dream. J. Exp. Bot. 72, 3936–3955 (2021).
Article CAS PubMed Google Scholar
Neghliz, H., Cochard, H., Brunel, N. & Martre, P. Ear rachis xylem occlusion and associated loss in hydraulic conductance coincide with the end of grain filling for wheat. Front. Plant Sci. 7, 920 (2016).
Article PubMed PubMed Central Google Scholar
IWGSC. Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science 361, eaar7191 (2018).
Article Google Scholar
Pont, C. et al. Tracing the ancestry of modern bread wheats. Nat. Genet. 51, 905–911 (2019).
Article CAS PubMed Google Scholar
Horton, P., Long, S. P., Smith, P., Banwart, S. A. & Beerling, D. J. Technologies to deliver food and climate security through agriculture. Nat. Plants 7, 250–255 (2021).
Article CAS PubMed Google Scholar
Stitt, M. Progress in understanding and engineering primary plant metabolism. Curr. Opin. Biotechnol. 24, 229–238 (2013).
Article CAS PubMed Google Scholar
Tanaka, M. et al. Photosynthetic enhancement, lifespan extension, and leaf area enlargement in flag leaves increased the yield of transgenic rice plants overproducing Rubisco under sufficient N fertilization. Rice 15, 10 (2022).
Article CAS PubMed PubMed Central Google Scholar
Zhang, X. et al. TaCol-B5 modifies spike architecture and enhances grain yield in wheat. Science 376, 180–183 (2022).
Article CAS PubMed Google Scholar
Maccaferri, M. et al. Durum wheat genome highlights past domestication signatures and future improvement targets. Nat. Genet. 51, 885–895 (2019).
Article CAS PubMed Google Scholar
Liu, J. et al. Shaping polyploid wheat for success: origins, domestication, and the genetic improvement of agronomic traits. J. Integr. Plant Biol. 64, 536–563 (2022).
PubMed Google Scholar
Uauy, C. et al. A modified TILLING approach to detect induced mutations in tetraploid and hexaploid wheat. BMC Plant Biol. 9, 115 (2009).
Article PubMed PubMed Central Google Scholar
Guo, W. et al. Origin and adaptation to high altitude of Tibetan semi-wild wheat. Nat. Commun. 11, 5085 (2020).
Article CAS PubMed PubMed Central Google Scholar
Wang, W. et al. SnpHub: an easy-to-set-up web server framework for exploring large-scale genomic variation data in the post-genomic era with applications in wheat. Gigascience 9, giaa060 (2020).
Article PubMed PubMed Central Google Scholar
Zhou, Y. et al. Triticum population sequencing provides insights into wheat adaptation. Nat. Genet. 52, 1412–1422 (2020).
Article CAS PubMed Google Scholar
Hao, C. et al. Resequencing of 145 landmark cultivars reveals asymmetric sub-genome selection and strong founder genotype effects on wheat breeding in China. Mol. Plant 13, 1733–1751 (2020).
Article CAS PubMed Google Scholar
Li, H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27, 2987–2993 (2011).
Article CAS PubMed PubMed Central Google Scholar
Wang, L., Feng, Z., Wang, X. & Zhang, X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 26, 136–138 (2010).
Article PubMed Google Scholar
Gou, J. Y., Yu, X. H. & Liu, C. J. A hydroxycinnamoyltransferase responsible for synthesizing suberin aromatics in Arabidopsis. Proc. Natl Acad. Sci. USA 106, 18855–18860 (2009).
Article CAS PubMed PubMed Central Google Scholar
Moyet, L., Salvi, D., Tomizioli, M., Seigneurin-Berny, D. & Rolland, N. Preparation of membrane fractions (envelope, thylakoids, grana, and stroma lamellae) from Arabidopsis chloroplasts for quantitative proteomic investigations and other studies. Methods Mol. Biol. 1696, 117–136 (2018).
Article CAS PubMed Google Scholar
Curtis, M. D. & Grossniklaus, U. A gateway cloning vector set for high-throughput functional analysis of genes in planta. Plant Physiol. 133, 462–469 (2003).
Article CAS PubMed PubMed Central Google Scholar
Gou, J. Y. et al. Wheat stripe rust resistance protein WKS1 reduces the ability of the thylakoid-associated ascorbate peroxidase to detoxify reactive oxygen species. Plant Cell 27, 1755–1770 (2015).
Article CAS PubMed PubMed Central Google Scholar
Fujikawa, Y. & Kato, N. Split luciferase complementation assay to study protein–protein interactions in Arabidopsis protoplasts. Plant J. 52, 185–195 (2007).
Article CAS PubMed Google Scholar
Lou, Y., Schwender, J. & Shanklin, J. FAD2 and FAD3 desaturases form heterodimers that facilitate metabolic channeling in vivo. J. Biol. Chem. 289, 17996–18007 (2014).
Article CAS PubMed PubMed Central Google Scholar
Guex, N. & Peitsch, M. C. SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 18, 2714–2723 (1997).
Article CAS PubMed Google Scholar
Download references
This study was supported by the National Key Research and Development Program of China (grant no. 2022YFF1002902) and the National Natural Science Foundation of China (grant no. 31972350). We thank C. Hao, X. Zhang at the Chinese Academy of Agricultural Sciences and Y. Jiao at Peking University for sharing the hexaploid wheat varieties. We thank J. Dubcovsky at the University of California, Davis, for constructive suggestions.
MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China
Ke-Xin Niu, Chao-Yan Chang, Mei-Qi Zhang, Yue-Ting Guo, Yan Yan, Hao-Jie Sun, Guo-Liang Zhang, Xiao-Ming Li, Yi-Lin Gong, Ci-Hang Ding & Jin-Ying Gou
Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
Ke-Xin Niu, Chao-Yan Chang, Mei-Qi Zhang, Yue-Ting Guo, Yan Yan, Xiao-Ming Li, Yi-Lin Gong, Ci-Hang Ding, Meng-Lu Wang, Zhongfu Ni, Qixin Sun & Jin-Ying Gou
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
J.-Y.G. designed the research, interpreted the data and wrote the manuscript. K.-X.N. performed most of the experiments with help from C.-Y.C., M.-Q.Z., Y.-T.G., Y.Y., H.-J.S., G.-L.Z., X.-M.L., Y.-L.G., C.-H.D. and M.-L.W. Z.N. and Q.S. contributed to the discussion and analysis of the data.
Correspondence to Jin-Ying Gou.
The authors declare no competing interests.
Nature Plants thanks Lin Li and Thorsten Schnurbusch for their contribution to the peer review of this work.
Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Note that we extracted the data from GSE12508 in NCBI.
Source data
a,b, Sequence of the app-B1 gene at the mutation site and its effect on the coding sequence.
a. Comparison of the endogenous PsbO protein levels in the dysfunction mutants. b, c. Grain sizes of WT and psbo-A1 mutant. Bars= 1 cm. d–f. Phenotypic data of grains from WT and psbo-A1 mutants, including grain length (n = 10), grain width (n = 10), grain thickness (n = 20), 1000-grain weight (n = 15), Grain roundness (n = 4), and Tons/HA (n = 3). Data represented mean ± SD; the two-tailed unpaired Student's t-test indicates p-values.
Source data
The specific enzymatic activity of APP1 on a synthetic substrate and PsbO. a. The specific enzymatic activity of APP1 on an artificial substrate. n = 4, Data represented mean ± SD, and the two-tailed unpaired Student's t-test indicates p-values. b. The specific enzymatic activity of APP1 on PsbO.
Source data
a. Venn diagram representation of up-regulated expression genes between the app-A1 backcrossed mutant and WT. b. Venn diagram representation of down-regulated expression genes between the app-A1 backcrossed mutant and WT. c. The APP-A1 expression in app-A1 mutant and WT through RNA-seq. n = 3, Data represented mean ± SD, and the two-tailed unpaired Student's t-test indicates p-values. d. The PsbO-A1 expression in app-A1 mutant and WT through RNA-seq. n = 3, Data represented mean ± SD, and the two-tailed unpaired Student's t-test indicates p-values. GO (e) and KEGG (f) analysis in the app-A1 mutant. n = 3.
Source data
Supplementary Figs. 1 and 2 and Data 1 and 2.
Unprocessed films for Fig. 2.
Unprocessed films for Fig. 3.
Unprocessed films for Fig. 4.
Unprocessed films for Fig. 6.
Unprocessed films for Extended Data Fig. 3.
Unprocessed films for Extended Data Fig. 4.
Statistical data for Fig. 1.
Statistical data for Fig. 2.
Statistical data for Fig. 3.
Statistical data for Fig. 5.
Statistical data for Fig. 6.
Statistical data for Extended Data Fig. 1.
Statistical data for Extended Data Fig. 3.
Statistical data for Extended Data Fig. 4.
Statistical data for Extended Data Fig. 5.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and Permissions
Niu, KX., Chang, CY., Zhang, MQ. et al. Suppressing ASPARTIC PROTEASE 1 prolongs photosynthesis and increases wheat grain weight. Nat. Plants (2023). https://doi.org/10.1038/s41477-023-01432-x
Download citation
Received: 13 September 2022
Accepted: 09 May 2023
Published: 05 June 2023
DOI: https://doi.org/10.1038/s41477-023-01432-x
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative