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Genome-wide ribosome profiling reveals a dynamic translational landscape in Arabidopsis seedling roots under simulated microgravity
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  • Published: 04 April 2026

Genome-wide ribosome profiling reveals a dynamic translational landscape in Arabidopsis seedling roots under simulated microgravity

  • Ting Zhang1 na1,
  • Lishuang Zhang1 na1,
  • Yilin Yang2,3 na1,
  • Jinbo Hu1,
  • Huiqiong Zheng2,
  • Weiming Cai2 &
  • …
  • Peipei Xu1 

Communications Biology , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Plant molecular biology
  • Tropism

Abstract

Plants can adapt to environmental change through a variety of transcriptional and translational mechanisms. Although extensive knowledge exists about plant stress responses at the transcriptional level, understanding of these responses at the translational level is limited. This study aimed to evaluate the translational dynamics of plants in a simulated microgravity environment through the utilization of a ribosome profiling assay. A comparative analysis of ribosome profiling data and RNA-seq on a global scale demonstrated a modest correlation in the alteration of gene expression between transcriptional and translational levels. However, under one third of responsive genes exhibited concurrent transcriptional and translational activities. We found that simulated microgravity simulation elicited separate transcriptional and translational responses in plants. The findings indicated a significant alteration in the translational efficiency (TE) of 1081 genes under simulated microgravity conditions. Subsequent analysis identified specific sequence characteristics, including GC content and coding sequence length, as influential factors on gene TE. The abundance of upstream open reading frames (uORFs) within gene promoters indicates a possible influence on the translation efficiency of primary open reading frames located downstream. These results suggested that in response to simulated microgravity, plants had a responsive translational mechanism that interacted with transcription in a coordinated manner.

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Data availability

Source data for main Figs. 2a, b, 2d, 3a, 5a, 6a–c, and 7a–e, and Supplementary Fig. 5a, b and 6a–c, are available in Supplementary Data 4. The RNA-seq (GSA: CRA028515) and Ribo-seq (GSA: CRA028542) data reported in this paper have been deposited in the Genome Sequence Archive (GSA)65 in the National Genomics Data Center66, China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences, and are publicly accessible at https://ngdc.cncb.ac.cn/gsa.

References

  1. Soga, K. Resistance of plants to gravitational force. J. Plant Res. 126, 589–596 (2013).

    Google Scholar 

  2. Tasaka, M., Kato, T. & Fukaki, H. Genetic regulation of gravitropism in higher plants. Int. Rev. Cytol. 206, 135–154 (2001).

    Google Scholar 

  3. Perbal, G. Plant development in space or in simulated microgravity. In Plant Biotechnology 2002 and Beyond, (ed. Vasil, I. k.) 351–357 (Springer Netherlands, 2003).

  4. Kiss, J. Z., Wolverton, C., Wyatt, S. E., Hasenstein, K. H. & van Loon, J. J. W. A. Comparison of microgravity analogs to spaceflight in studies of plant growth and development. Front. Plant Sci. 10, 1577 (2019).

    Google Scholar 

  5. Silva, H. C. et al. Development of a system to submit sugarcane plants in real microgravity using the VSB30 sounding rocket. ESA Spec. Publ. 700, 185–188 (2011).

    Google Scholar 

  6. Farand, A. Legal environment for exploitation of the International Space Station (ISS). Space Stud. 4, 141–153 (2000).

    Google Scholar 

  7. Long, J. China’s space station project and international cooperation: potential models of jurisdiction and selected legal issues. Space Policy 36, 28–37 (2016).

    Google Scholar 

  8. Shimazu, T., Yuda, T., Miyamoto, K., Yamashita, M. & Ueda, J. Growth and development in higher-plants under simulated microgravity conditions on a 3-dimensional clinostat. Adv. Space Res. 27, 995–1000 (2001).

    Google Scholar 

  9. van Loon, J. J. W. A. Some history and use of the random positioning machine, RPM, in gravity related research. Adv. Space Res. 39, 1161–1165 (2007).

    Google Scholar 

  10. Xie, J. Y. & Zheng, H. Q. Arabidopsis flowering induced by photoperiod under 3-D clinostat rotational simulated microgravity. Acta Astronaut. 166, 567–572 (2020).

    Google Scholar 

  11. Ingolia, N. T., Brar, G. A., Rouskin, S., McGeachy, A. M. & Weissman, J. S. The ribosome profiling strategy for monitoring translation by deep sequencing of ribosome-protected mRNA fragments. Nat. Protoc. 7, 1534–1550 (2012).

    Google Scholar 

  12. Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S. & Weissman, J. S. Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling. Science 324, 218–223 (2009).

    Google Scholar 

  13. Chew, G. L. et al. Ribosome profiling reveals resemblance between long non-coding RNAs and 5′ leaders of coding RNAs. Development 140, 2828–2834 (2013).

    Google Scholar 

  14. Dunn, J. G., Foo, C. K., Belletier, N. G., Gavis, E. R. & Weissman, J. S. Ribosome profiling reveals pervasive and regulated stop codon readthrough in Drosophila melanogaster. eLife 2, e01179 (2013).

    Google Scholar 

  15. Michel, A. M. et al. Observation of dually decoded regions of the human genome using ribosome profiling data. Genome Res. 22, 2219–2229 (2012).

    Google Scholar 

  16. Liu, M. J. et al. Translational landscape of photomorphogenic Arabidopsis. Plant Cell 25, 3699–3710 (2013).

    Google Scholar 

  17. Hsu, P. Y. et al. Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis. Proc. Natl. Acad. Sci. USA 113, E7126–E7135 (2016).

    Google Scholar 

  18. Shalgi, R. et al. Widespread regulation of translation by elongation pausing in heat shock. Mol. Cell 49, 439–452 (2013).

    Google Scholar 

  19. Juntawong, P., Girke, T., Bazin, J. & Bailey-Serres, J. Translational dynamics revealed by genome-wide profiling of ribosome footprints in Arabidopsis. Proc. Natl. Acad. Sci. USA 111, E203–E212 (2014).

    Google Scholar 

  20. Tuller, T. et al. An evolutionarily conserved mechanism for controlling the efficiency of protein translation. Cell 141, 344–354 (2010).

    Google Scholar 

  21. Young, D. J., Guydosh, N. R., Zhang, F., Hinnebusch, A. G. & Green, R. Rli1/ABCE1 recycles terminating ribosomes and controls translation reinitiation in 3’UTRs in vivo. Cell 162, 872–884 (2015).

    Google Scholar 

  22. Barbosa, C., Peixeiro, I. & Romao, L. Gene expression regulation by upstream open reading frames and human disease. PLoS Genet. 9, e1003529 (2013).

    Google Scholar 

  23. Vélez-Bermúdez, I. C., Lin, W. D., Chou, S. J., Chen, A. P. & Schmidt, W. Transcriptome and translatome comparison of tissues from Arabidopsis thaliana. Sci. Data 12, 504 (2025).

    Google Scholar 

  24. Xu, P. et al. Pectin methylesterase gene AtPMEPCRA contributes to physiological adaptation to simulated and spaceflight microgravity in Arabidopsis. iScience 25, 104331 (2022).

    Google Scholar 

  25. Xu, P., Chen, H., Jin, J. & Cai, W. Single-base resolution methylome analysis shows epigenetic changes in Arabidopsis seedlings exposed to microgravity spaceflight conditions on board the SJ-10 recoverable satellite. NPJ Microgravity 4, 12 (2018).

    Google Scholar 

  26. Ogata, H. et al. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 27, 29–34 (1999).

    Google Scholar 

  27. Medina, F. J., Manzano, A., Villacampa, A., Ciska, M., & Herranz, R. Understanding reduced gravity effects on early plant development before attempting life-support farming in the Moon and Mars. Front. Astron. Space Sci. 8, 729154 (2021).

  28. Okushima, Y. et al. Functional genomic analysis of the AUXIN RESPONSE FACTOR gene family members in Arabidopsis thaliana: unique and overlapping functions of ARF7 and ARF19. Plant Cell 17, 444–463 (2005).

    Google Scholar 

  29. Toyota, M., Furuichi, T., Tatsumi, H. & Sokabe, M. Cytoplasmic calcium increases in response to changes in the gravity vector in hypocotyls and petioles of Arabidopsis seedlings. Plant Physiol. 146, 505–514 (2008).

    Google Scholar 

  30. Albrecht, V. et al. The calcium sensor CBL1 integrates plant responses to abiotic stresses. Plant J.: Cell Mol. Biol. 36, 457–470 (2003).

    Google Scholar 

  31. Song, X. et al. CALMODULIN-LIKE-38 and PEP1 RECEPTOR 2 integrate nitrate and brassinosteroid signals to regulate root growth. Plant Physiol. 187, 1779–1794 (2021).

    Google Scholar 

  32. Barker, R. et al. Meta-analysis of the space flight and microgravity response of the Arabidopsis plant transcriptome. NPJ Microgravity 9, 21 (2023).

    Google Scholar 

  33. Lei, L. et al. Ribosome profiling reveals dynamic translational landscape in maize seedlings under drought stress. Plant J. 84, 1206–1218 (2015).

    Google Scholar 

  34. Lackner, D. H., Schmidt, M. W., Wu, S. D., Wolf, D. A. & Bähler, J. Regulation of transcriptome, translation, and proteome in response to environmental stress in fission yeast. Genome Biol. 13, R25 (2012).

    Google Scholar 

  35. Kozak, M. Point mutations define a sequence flanking the AUG initiator codon that modulates translation by eukaryotic ribosomes. Cell 44, 283–292 (1986).

    Google Scholar 

  36. Wiese, A., Elzinga, N., Wobbes, B. & Smeekens, S. A conserved upstream open reading frame mediates sucrose-induced repression of translation. Plant Cell 16, 1717–1729 (2004).

    Google Scholar 

  37. Sonenberg, N. & Hinnebusch, A. G. Regulation of translation initiation in eukaryotes: mechanisms and biological targets. Cell 136, 731–745 (2009).

    Google Scholar 

  38. Aravind, L. & Koonin, E. V. Eukaryote-specific domains in translation initiation factors: implications for translation regulation and evolution of the translation system. Genome Res. 10, 1172–1184 (2000).

    Google Scholar 

  39. Lee, M. V. et al. A dynamic model of proteome changes reveals new roles for transcript alteration in yeast. Mol. Syst. Biol. 7, 514 (2011).

    Google Scholar 

  40. Shenton, D. et al. Global translational responses to oxidative stress impact upon multiple levels of protein synthesis. J. Biol. Chem. 281, 29011–29021 (2006).

    Google Scholar 

  41. Bai, B. et al. Extensive translational regulation during seed germination revealed by polysomal profiling. N. Phytol. 214, 233–244 (2017).

    Google Scholar 

  42. Zhang, C. et al. Translational landscape and metabolic characteristics of the etiolated tea plant (Camellia sinensis). Sci. Hortic. 303, 111193 (2022).

    Google Scholar 

  43. Jian, H. et al. Dynamic translational landscape revealed by genome-wide ribosome profiling under drought and heat stress in potato. Plants 12, 2232 (2023).

    Google Scholar 

  44. Xiong, Q. et al. Ribosome profiling reveals the effects of nitrogen application translational regulation of yield recovery after abrupt drought-flood alternation in rice. Plant Physiol. Biochem. 155, 42–58 (2020).

    Google Scholar 

  45. Zhao, G. et al. Ribosome profiling and RNA sequencing reveal translation and transcription regulation under acute heat stress in rainbow trout (Oncorhynchus mykiss, Walbaum, 1792) liver. Int. J. Mol. Sci. 25, 8848 (2024).

    Google Scholar 

  46. Cao, M. et al. Comparative analysis of testicular transcriptional and translational landscapes in yak and cattle-yak: implications for hybrid male sterility. Biomolecules 15, 1080 (2025).

    Google Scholar 

  47. Spriggs, K. A., Bushell, M. & Willis, A. E. Translational regulation of gene expression during conditions of cell stress. Mol. Cell 40, 228–237 (2010).

    Google Scholar 

  48. Calvo, S. E., Pagliarini, D. J. & Mootha, V. K. Upstream open reading frames cause widespread reduction of protein expression and are polymorphic among humans. Proc. Natl. Acad. Sci. USA 106, 7507–7512 (2009).

    Google Scholar 

  49. Chang, K. S., Lee, S. H., Hwang, S. B. & Park, K. Y. Characterization and translational regulation of the arginine decarboxylase gene in carnation (Dianthus caryophyllus L.). Plant J. 24, 45–56 (2000).

  50. Ebina, I. et al. Identification of novel upstream open reading frames that control expression of the main coding sequences in a peptide sequence-dependent manner. Nucleic Acids Res. 43, 1562–1576 (2015).

    Google Scholar 

  51. Hu, J. et al. A protocol for measuring the response of Arabidopsis roots to gravity and treatment for simulated microgravity. STAR Protoc. 4, 102099 (2023).

    Google Scholar 

  52. Morlan, J. D., Qu, K. B. & Sinicropi, D. V. Selective depletion of rRNA enables whole transcriptome profiling of archival fixed tissue. PLoS ONE 7, e42882 (2012).

    Google Scholar 

  53. Lauria, F. et al. riboWaltz: optimization of ribosome P-site positioning in ribosome profiling data. PLoS Comput. Biol. 14, e1006169 (2018).

    Google Scholar 

  54. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

    Google Scholar 

  55. Kanehisa, M. & Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27–30 (2000).

    Google Scholar 

  56. Bazzini, A. A. et al. Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation. EMBO J. 33, 981–993 (2014).

    Google Scholar 

  57. Guttman, M., Russell, P., Ingolia, N. T., Weissman, J. S. & Lander, E. S. Ribosome profiling provides evidence that large noncoding RNAs do not encode proteins. Cell 154, 240–251 (2013).

    Google Scholar 

  58. Wang, L. et al. CPAT: coding-potential assessment tool using an alignment-free logistic regression model. Nucleic Acids Res. 41, e74 (2013).

    Google Scholar 

  59. Lorenz, R. et al. ViennaRNA package 2.0. Algorithm Mol. Biol. 6, 26 (2011).

    Google Scholar 

  60. Kozak, M. Pushing the limits of the scanning mechanism for initiation of translation. Gene 299, 1–34 (2002).

    Google Scholar 

  61. Chen, Y. J. et al. PsORF: a database of small ORFs in plants. Plant Biotechnol. J. 18, 2158–2160 (2020).

    Google Scholar 

  62. Chen, S. F., Zhou, Y. Q., Chen, Y. R. & Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, 884–890 (2018).

    Google Scholar 

  63. Olexiouk, V., Van Criekinge, W. & Menschaert, G. An update on sORFs.org: a repository of small ORFs identified by ribosome profiling. Nucleic Acids Res. 46, D497–D502 (2018).

    Google Scholar 

  64. Olexiouk, V. et al. sORFs.org: a repository of small ORFs identified by ribosome profiling. Nucleic Acids Res. 44, D324–D329 (2016).

    Google Scholar 

  65. Chen, T. et al. The genome sequence archive family: toward explosive data growth and diverse data types. Dev. Reprod. Biol. 19, 578–583 (2021).

    Google Scholar 

  66. CNCB-NGDC Members and Partners Database resources of the national genomics data center, China National Center for Bioinformation in 2022. Nucleic Acids Res. 50, D27–D38 (2022).

    Google Scholar 

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Acknowledgements

We thank Professor WR Hu for organizing the Strategic Priority Research Program of CAS, CSU of CAS for organizing the China’s Manned Space Program. This work was supported by the National Natural Science Foundation of China (Grant Nos. 32171232, 31570859, 31500236, 31070237, 90917009, and 31971172), Natural Science Foundation of Shanghai (Grant No. 22ZR1469500), CAS (No. XDA04020202-15), and China’s Manned Space Program.

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  1. These authors contributed equally: Ting Zhang, Lishuang Zhang, Yilin Yang.

Authors and Affiliations

  1. School of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, PR China

    Ting Zhang, Lishuang Zhang, Jinbo Hu & Peipei Xu

  2. Laboratory of Photosynthesis and Environment, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, PR China

    Yilin Yang, Huiqiong Zheng & Weiming Cai

  3. University of Chinese Academy of Sciences, Beijing, China

    Yilin Yang

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Contributions

P.X., H.Z., and W.C. conceived and designed the research project. T.Z., L.Z., and Y.Y. performed the experiments, and J.H. provided technical recommendations. T.Z. and P.X. analyzed the data. T.Z. and P.X. wrote and revised the manuscript. All authors have read and approved the final version of the manuscript for submission.

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Correspondence to Huiqiong Zheng, Weiming Cai or Peipei Xu.

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Communications Biology thanks Isabel Cristina Vélez-Bermúdez, Imara Perera and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: David Favero.

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Zhang, T., Zhang, L., Yang, Y. et al. Genome-wide ribosome profiling reveals a dynamic translational landscape in Arabidopsis seedling roots under simulated microgravity. Commun Biol (2026). https://doi.org/10.1038/s42003-026-09991-3

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  • Received: 02 August 2024

  • Accepted: 24 March 2026

  • Published: 04 April 2026

  • DOI: https://doi.org/10.1038/s42003-026-09991-3

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