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Title: Cross-stress gene expression atlas of Marchantia polymorpha reveals the hierarchy and regulatory principles of abiotic stress responses
Authors: Tan, Qiao Wen
Lim, Peng Ken
Chen, Zhong
Pasha, Asher
Provart, Nicholas
Arend, Marius
Nikoloski, Zoran
Mutwil, Marek
Keywords: Science::Biological sciences
Issue Date: 2023
Source: Tan, Q. W., Lim, P. K., Chen, Z., Pasha, A., Provart, N., Arend, M., Nikoloski, Z. & Mutwil, M. (2023). Cross-stress gene expression atlas of Marchantia polymorpha reveals the hierarchy and regulatory principles of abiotic stress responses. Nature Communications, 14(1), 986-.
Project: SFS-RND-SUFP-001-05 
MoE Tier 2 No – 022580-00001 
Journal: Nature communications 
Abstract: Abiotic stresses negatively impact ecosystems and the yield of crops, and climate change will increase their frequency and intensity. Despite progress in understanding how plants respond to individual stresses, our knowledge of plant acclimatization to combined stresses typically occurring in nature is still lacking. Here, we used a plant with minimal regulatory network redundancy, Marchantia polymorpha, to study how seven abiotic stresses, alone and in 19 pairwise combinations, affect the phenotype, gene expression, and activity of cellular pathways. While the transcriptomic responses show a conserved differential gene expression between Arabidopsis and Marchantia, we also observe a strong functional and transcriptional divergence between the two species. The reconstructed high-confidence gene regulatory network demonstrates that the response to specific stresses dominates those of others by relying on a large ensemble of transcription factors. We also show that a regression model could accurately predict the gene expression under combined stresses, indicating that Marchantia performs arithmetic multiplication to respond to multiple stresses. Lastly, two online resources ( and ) are provided to facilitate the study of gene expression in Marchantia exposed to abiotic stresses.
ISSN: 2041-1723
DOI: 10.1038/s41467-023-36517-w
Schools: School of Biological Sciences 
Rights: © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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