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Nishio H, Cano-Ramirez DL, Muranaka T, de Barros Dantas LL, Honjo MN, Sugisaka J, Kudoh H, Dodd AN. Circadian and environmental signal integration in a natural population of Arabidopsis. Proc Natl Acad Sci U S A 2024; 121:e2402697121. [PMID: 39172785 PMCID: PMC11363283 DOI: 10.1073/pnas.2402697121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 07/29/2024] [Indexed: 08/24/2024] Open
Abstract
Plants sense and respond to environmental cues during 24 h fluctuations in their environment. This requires the integration of internal cues such as circadian timing with environmental cues such as light and temperature to elicit cellular responses through signal transduction. However, the integration and transduction of circadian and environmental signals by plants growing in natural environments remains poorly understood. To gain insights into 24 h dynamics of environmental signaling in nature, we performed a field study of signal transduction from the nucleus to chloroplasts in a natural population of Arabidopsis halleri. Using several modeling approaches to interpret the data, we identified that the circadian clock and temperature are key regulators of this pathway under natural conditions. We identified potential time-delay steps between pathway components, and diel fluctuations in the response of the pathway to temperature cues that are reminiscent of the process of circadian gating. We found that our modeling framework can be extended to other signaling pathways that undergo diel oscillations and respond to environmental cues. This approach of combining studies of gene expression in the field with modeling allowed us to identify the dynamic integration and transduction of environmental cues, in plant cells, under naturally fluctuating diel cycles.
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Affiliation(s)
- Haruki Nishio
- Center for Ecological Research, Kyoto University, Otsu, Shiga520-2113, Japan
- Data Science and AI Innovation Research Promotion Center, Shiga University, Hikone, Shiga522-8522, Japan
| | - Dora L. Cano-Ramirez
- The Sainsbury Laboratory, University of Cambridge, CambridgeCB2 1LR, United Kingdom
- School of Biological Sciences, University of Bristol, BristolBS8 1TQ, United Kingdom
| | - Tomoaki Muranaka
- Center for Ecological Research, Kyoto University, Otsu, Shiga520-2113, Japan
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Aichi464-0814, Japan
| | | | - Mie N. Honjo
- Center for Ecological Research, Kyoto University, Otsu, Shiga520-2113, Japan
| | - Jiro Sugisaka
- Center for Ecological Research, Kyoto University, Otsu, Shiga520-2113, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Otsu, Shiga520-2113, Japan
| | - Antony N. Dodd
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7RU, United Kingdom
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2
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Briffa A, Menon G, Movilla Miangolarra A, Howard M. Dissecting Mechanisms of Epigenetic Memory Through Computational Modeling. ANNUAL REVIEW OF PLANT BIOLOGY 2024; 75:265-290. [PMID: 38424070 DOI: 10.1146/annurev-arplant-070523-041445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Understanding the mechanistic basis of epigenetic memory has proven to be a difficult task due to the underlying complexity of the systems involved in its establishment and maintenance. Here, we review the role of computational modeling in helping to unlock this complexity, allowing the dissection of intricate feedback dynamics. We focus on three forms of epigenetic memory encoded in gene regulatory networks, DNA methylation, and histone modifications and discuss the important advantages offered by plant systems in their dissection. We summarize the main modeling approaches involved and highlight the principal conceptual advances that the modeling has enabled through iterative cycles of predictive modeling and experiments. Lastly, we discuss remaining gaps in our understanding and how intertwined theory and experimental approaches might help in their resolution.
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Affiliation(s)
- Amy Briffa
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
- Epigenetics Programme, Babraham Institute, Cambridge, United Kingdom
| | - Govind Menon
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
| | - Ander Movilla Miangolarra
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
| | - Martin Howard
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
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3
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Nishio H, Kawakatsu T, Yamaguchi N. Beyond heat waves: Unlocking epigenetic heat stress memory in Arabidopsis. PLANT PHYSIOLOGY 2024; 194:1934-1951. [PMID: 37878744 DOI: 10.1093/plphys/kiad558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/25/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023]
Abstract
Plants remember their exposure to environmental changes and respond more effectively the next time they encounter a similar change by flexibly altering gene expression. Epigenetic mechanisms play a crucial role in establishing such memory of environmental changes and fine-tuning gene expression. With the recent advancements in biochemistry and sequencing technologies, it has become possible to characterize the dynamics of epigenetic changes on scales ranging from short term (minutes) to long term (generations). Here, our main focus is on describing the current understanding of the temporal regulation of histone modifications and chromatin changes during exposure to short-term recurring high temperatures and reevaluating them in the context of natural environments. Investigations of the dynamics of histone modifications and chromatin structural changes in Arabidopsis after repeated exposure to heat at short intervals have revealed the detailed molecular mechanisms of short-term heat stress memory, which include histone modification enzymes, chromatin remodelers, and key transcription factors. In addition, we summarize the spatial regulation of heat responses. Based on the natural temperature patterns during summer, we discuss how plants cope with recurring heat stress occurring at various time intervals by utilizing 2 distinct types of heat stress memory mechanisms. We also explore future research directions to provide a more precise understanding of the epigenetic regulation of heat stress memory.
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Affiliation(s)
- Haruki Nishio
- Data Science and AI Innovation Research Promotion Center, Shiga University, Shiga 522-8522, Japan
- Center for Ecological Research, Kyoto University, Shiga 520-2113, Japan
| | - Taiji Kawakatsu
- Institute of Agrobiological Sciences, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8602, Japan
| | - Nobutoshi Yamaguchi
- Division of Biological Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, Nara 630-0192, Japan
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4
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Nielsen M, Menon G, Zhao Y, Mateo-Bonmati E, Wolff P, Zhou S, Howard M, Dean C. COOLAIR and PRC2 function in parallel to silence FLC during vernalization. Proc Natl Acad Sci U S A 2024; 121:e2311474121. [PMID: 38236739 PMCID: PMC10823242 DOI: 10.1073/pnas.2311474121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Noncoding transcription induces chromatin changes that can mediate environmental responsiveness, but the causes and consequences of these mechanisms are still unclear. Here, we investigate how antisense transcription (termed COOLAIR) interfaces with Polycomb Repressive Complex 2 (PRC2) silencing during winter-induced epigenetic regulation of Arabidopsis FLOWERING LOCUS C (FLC). We use genetic and chromatin analyses on lines ineffective or hyperactive for the antisense pathway in combination with computational modeling to define the mechanisms underlying FLC repression. Our results show that FLC is silenced through pathways that function with different dynamics: a COOLAIR transcription-mediated pathway capable of fast response and in parallel a slow PRC2 switching mechanism that maintains each allele in an epigenetically silenced state. Components of both the COOLAIR and PRC2 pathways are regulated by a common transcriptional regulator (NTL8), which accumulates by reduced dilution due to slow growth at low temperature. The parallel activities of the regulatory steps, and their control by temperature-dependent growth dynamics, create a flexible system for registering widely fluctuating natural temperature conditions that change year on year, and yet ensure robust epigenetic silencing of FLC.
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Affiliation(s)
- Mathias Nielsen
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Govind Menon
- Computational and Systems Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Yusheng Zhao
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Eduardo Mateo-Bonmati
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Philip Wolff
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Shaoli Zhou
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Martin Howard
- Computational and Systems Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
| | - Caroline Dean
- Department of Cell and Developmental Biology, John Innes Centre, NorwichNR4 7UH, United Kingdom
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5
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Akiyama R, Goto T, Tameshige T, Sugisaka J, Kuroki K, Sun J, Akita J, Hatakeyama M, Kudoh H, Kenta T, Tonouchi A, Shimahara Y, Sese J, Kutsuna N, Shimizu-Inatsugi R, Shimizu KK. Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation. Nat Commun 2023; 14:5792. [PMID: 37737204 PMCID: PMC10517152 DOI: 10.1038/s41467-023-41260-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 08/29/2023] [Indexed: 09/23/2023] Open
Abstract
Long-term field monitoring of leaf pigment content is informative for understanding plant responses to environments distinct from regulated chambers but is impractical by conventional destructive measurements. We developed PlantServation, a method incorporating robust image-acquisition hardware and deep learning-based software that extracts leaf color by detecting plant individuals automatically. As a case study, we applied PlantServation to examine environmental and genotypic effects on the pigment anthocyanin content estimated from leaf color. We processed >4 million images of small individuals of four Arabidopsis species in the field, where the plant shape, color, and background vary over months. Past radiation, coldness, and precipitation significantly affected the anthocyanin content. The synthetic allopolyploid A. kamchatica recapitulated the fluctuations of natural polyploids by integrating diploid responses. The data support a long-standing hypothesis stating that allopolyploids can inherit and combine the traits of progenitors. PlantServation facilitates the study of plant responses to complex environments termed "in natura".
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Affiliation(s)
- Reiko Akiyama
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland
| | - Takao Goto
- Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan
| | - Toshiaki Tameshige
- Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan
- Division of Biological Science, Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST), 8916-5 Takayama-Cho, Ikoma, Nara, 630-0192, Japan
| | - Jiro Sugisaka
- Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan
- Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, 520-2113, Japan
| | - Ken Kuroki
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Jianqiang Sun
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki, 305-8517, Japan
| | - Junichi Akita
- Department of Electric and Computer Engineering, Kanazawa University, Kakuma, Kanazawa, 920-1192, Japan
| | - Masaomi Hatakeyama
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland
- Functional Genomics Center Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu, 520-2113, Japan
| | - Tanaka Kenta
- Sugadaira Research Station, Mountain Science Center, University of Tsukuba, 1278-294 Sugadaira-kogen, Ueda, 386-2204, Japan
| | - Aya Tonouchi
- Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan
| | - Yuki Shimahara
- Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan
| | - Jun Sese
- Artificial Intelligence Research Center, AIST, 2-3-26 Aomi, Koto-ku, Tokyo, 135-0064, Japan
- Humanome Lab, Inc., L-HUB 3F, 1-4, Shumomiyabi-cho, Shinjuku, Tokyo, 162-0822, Japan
- AIST-Tokyo Tech RWBC-OIL, 2-12-1 O-okayama, Meguro-ku, Tokyo, 152-8550, Japan
| | - Natsumaro Kutsuna
- Research and Development Division, LPIXEL Inc., Chiyoda-ku, Tokyo, 100-0004, Japan
| | - Rie Shimizu-Inatsugi
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
| | - Kentaro K Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
- Kihara Institute for Biological Research (KIBR), Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, 244-0813, Japan.
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6
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Auge G, Hankofer V, Groth M, Antoniou-Kourounioti R, Ratikainen I, Lampei C. Plant environmental memory: implications, mechanisms and opportunities for plant scientists and beyond. AOB PLANTS 2023; 15:plad032. [PMID: 37415723 PMCID: PMC10321398 DOI: 10.1093/aobpla/plad032] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/01/2023] [Indexed: 07/08/2023]
Abstract
Plants are extremely plastic organisms. They continuously receive and integrate environmental information and adjust their growth and development to favour fitness and survival. When this integration of information affects subsequent life stages or the development of subsequent generations, it can be considered an environmental memory. Thus, plant memory is a relevant mechanism by which plants respond adaptively to different environments. If the cost of maintaining the response is offset by its benefits, it may influence evolutionary trajectories. As such, plant memory has a sophisticated underlying molecular mechanism with multiple components and layers. Nonetheless, when mathematical modelling is combined with knowledge of ecological, physiological, and developmental effects as well as molecular mechanisms as a tool for understanding plant memory, the combined potential becomes unfathomable for the management of plant communities in natural and agricultural ecosystems. In this review, we summarize recent advances in the understanding of plant memory, discuss the ecological requirements for its evolution, outline the multilayered molecular network and mechanisms required for accurate and fail-proof plant responses to variable environments, point out the direct involvement of the plant metabolism and discuss the tremendous potential of various types of models to further our understanding of the plant's environmental memory. Throughout, we emphasize the use of plant memory as a tool to unlock the secrets of the natural world.
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Affiliation(s)
| | - Valentin Hankofer
- Institute of Biochemical Plant Pathology, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Martin Groth
- Institute of Functional Epigenetics, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Rea Antoniou-Kourounioti
- School of Molecular Biosciences, University of Glasgow, Sir James Black Building, University Ave, Glasgow G12 8QQ, UK
| | - Irja Ratikainen
- Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Realfagbygget, NO-7491 Trondheim, Norway
| | - Christian Lampei
- Department of Biology (FB17), Plant Ecology and Geobotany Group, University of Marburg, Karl-von-Frisch-Straße 8, 35032 Marburg, Germany
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7
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Nishio H, Kudoh H. Distinct responses to autumn and spring temperatures by the key flowering-time regulator FLOWERING LOCUS C. Curr Opin Genet Dev 2023; 78:102016. [PMID: 36549195 DOI: 10.1016/j.gde.2022.102016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/10/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022]
Abstract
Despite the similarity in temperature regimes between late autumn and early spring, plants exhibit distinct developmental responses that result in distinct morphologies, that is, overwintering and reproductive forms. In Arabidopsis, the control of autumn-spring distinction involves the transcriptional regulation of the floral repressor FLOWERING LOCUS C (FLC). The memory of winter cold is registered as epigenetic silencing of FLC. Recent studies on A. thaliana FLC revealed detailed and additional mechanisms of silencing in response to autumn and winter cold. Studies on perennial Arabidopsis FLC revealed that its expression responds to spring warmth and is robustly upregulated, ignoring cold. These new studies provide mechanistic insights into the distinct regulation of FLC under autumn and spring temperature regimes.
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Affiliation(s)
- Haruki Nishio
- Center for Ecological Research, Kyoto University, Shiga 520-2113, Japan; Data Science and AI Innovation Research Promotion Center, Shiga University, Shiga 522-8522, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Shiga 520-2113, Japan.
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8
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Satake A, Nagahama A, Sasaki E. A cross-scale approach to unravel the molecular basis of plant phenology in temperate and tropical climates. THE NEW PHYTOLOGIST 2022; 233:2340-2353. [PMID: 34862973 DOI: 10.1111/nph.17897] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Plants have evolved to time their leafing, flowering and fruiting in appropriate seasons for growth, reproduction and resting. As a consequence of their adaptation to geographically different environments, there is a rich diversity in plant phenology from temperate and tropical climates. Recent progress in genetic and molecular studies will provide numerous opportunities to study the genetic basis of phenological traits and the history of adaptation of phenological traits to seasonal and aseasonal environments. Integrating molecular data with long-term phenology and climate data into predictive models will be a powerful tool to forecast future phenological changes in the face of global environmental change. Here, we review the cross-scale approach from genes to plant communities from three aspects: the latitudinal gradient of plant phenology at the community level, the environmental and genetic factors underlying the diversity of plant phenology, and an integrated approach to forecast future plant phenology based on genetically informed knowledge. Synthesizing the latest knowledge about plant phenology from molecular, ecological and mathematical perspectives will help us understand how natural selection can lead to the further evolution of the gene regulatory mechanisms in phenological traits in future forest ecosystems.
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Affiliation(s)
- Akiko Satake
- Department of Biology, Faculty of Science, Kyushu University, Fukuoka, 819-0395, Japan
| | - Ai Nagahama
- Department of Biology, Faculty of Science, Kyushu University, Fukuoka, 819-0395, Japan
| | - Eriko Sasaki
- Department of Biology, Faculty of Science, Kyushu University, Fukuoka, 819-0395, Japan
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9
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Menon G, Howard M. Investigating Histone Modification Dynamics by Mechanistic Computational Modeling. Methods Mol Biol 2022; 2529:441-473. [PMID: 35733026 DOI: 10.1007/978-1-0716-2481-4_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The maintenance of transcriptional states regulated by histone modifications and controlled switching between these states are fundamental concepts in our understanding of nucleosome-mediated epigenetic memory. Any approach relying on genome-wide bioinformatic analyses alone offers limited scope for dissecting the molecular mechanisms involved in maintenance and switching. Mechanistic mathematical models-describing the dynamics of histone modifications at individual genomic loci-offer an alternative way to investigate these mechanisms. These models, in conjunction with quantitative experimental data-ChIP data, quantification of mRNA levels, and single-cell fluorescence tracking in clonal lineages-can generate predictions that drive more targeted experiments, allowing us to understand mechanisms that would be challenging to unravel by a purely experimental approach. In this chapter, we describe a generic stochastic modeling framework that can be used to capture histone modification dynamics and associated molecular processes-including transcription and read-write feedback by chromatin modifying complexes-at individual genomic loci. Using a specific example-transcriptional silencing by Polycomb-mediated H3K27 methylation-we demonstrate how to construct and simulate a stochastic histone modification model. We provide a step-by-step guide to programming simulations for such a model and discuss how to analyze the simulation output.
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Affiliation(s)
- Govind Menon
- Department of Computational and Systems Biology, John Innes Centre, Norwich, UK
| | - Martin Howard
- Department of Computational and Systems Biology, John Innes Centre, Norwich, UK.
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10
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Shen Q, Lin Y, Li Y, Wang G. Dynamics of H3K27me3 Modification on Plant Adaptation to Environmental Cues. PLANTS 2021; 10:plants10061165. [PMID: 34201297 PMCID: PMC8228231 DOI: 10.3390/plants10061165] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/30/2021] [Accepted: 06/01/2021] [Indexed: 12/13/2022]
Abstract
Given their sessile nature, plants have evolved sophisticated regulatory networks to confer developmental plasticity for adaptation to fluctuating environments. Epigenetic codes, like tri-methylation of histone H3 on Lys27 (H3K27me3), are evidenced to account for this evolutionary benefit. Polycomb repressive complex 2 (PRC2) and PRC1 implement and maintain the H3K27me3-mediated gene repression in most eukaryotic cells. Plants take advantage of this epigenetic machinery to reprogram gene expression in development and environmental adaption. Recent studies have uncovered a number of new players involved in the establishment, erasure, and regulation of H3K27me3 mark in plants, particularly highlighting new roles in plants’ responses to environmental cues. Here, we review current knowledge on PRC2-H3K27me3 dynamics occurring during plant growth and development, including its writers, erasers, and readers, as well as targeting mechanisms, and summarize the emerging roles of H3K27me3 mark in plant adaptation to environmental stresses.
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11
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Yamaguchi N, Ito T. JMJ Histone Demethylases Balance H3K27me3 and H3K4me3 Levels at the HSP21 Locus during Heat Acclimation in Arabidopsis. Biomolecules 2021; 11:biom11060852. [PMID: 34200465 PMCID: PMC8227549 DOI: 10.3390/biom11060852] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 12/11/2022] Open
Abstract
Exposure to moderately high temperature enables plants to acquire thermotolerance to high temperatures that might otherwise be lethal. In Arabidopsis thaliana, histone H3 lysine 27 trimethylation (H3K27me3) at the heat shock protein 17.6C (HSP17.6C) and HSP22 loci is removed by Jumonji C domain-containing protein (JMJ) histone demethylases, thus allowing the plant to ‘remember’ the heat experience. Other heat memory genes, such as HSP21, are downregulated in acclimatized jmj quadruple mutants compared to the wild type, but how those genes are regulated remains uncharacterized. Here, we show that histone H3 lysine 4 trimethylation (H3K4me3) at HSP21 was maintained at high levels for at least three days in response to heat. This heat-dependent H3K4me3 accumulation was compromised in the acclimatized jmj quadruple mutant as compared to the acclimatized wild type. JMJ30 directly bound to the HSP21 locus in response to heat and coordinated H3K27me3 and H3K4me3 levels under standard and fluctuating conditions. Our results suggest that JMJs mediate the balance between H3K27me3 and H3K4me3 at the HSP21 locus through proper maintenance of H3K27me3 removal during heat acclimation.
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Affiliation(s)
- Nobutoshi Yamaguchi
- Division of Biological Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma-shi, Nara 630-0192, Japan;
- Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi-shi, Saitama 332-0012, Japan
- Correspondence: ; Tel.: +81-743-72-5501
| | - Toshiro Ito
- Division of Biological Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma-shi, Nara 630-0192, Japan;
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12
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Menon G, Schulten A, Dean C, Howard M. Digital paradigm for Polycomb epigenetic switching and memory. CURRENT OPINION IN PLANT BIOLOGY 2021; 61:102012. [PMID: 33662809 PMCID: PMC8250048 DOI: 10.1016/j.pbi.2021.102012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 01/21/2021] [Accepted: 01/24/2021] [Indexed: 05/04/2023]
Abstract
How epigenetic memory states are established and maintained is a central question in gene regulation. A major epigenetic process important for developmental biology involves Polycomb-mediated chromatin silencing. Significant progress has recently been made on elucidating Polycomb silencing in plant systems through analysis of Arabidopsis FLOWERING LOCUS C (FLC). Quantitative silencing of FLC by prolonged cold exposure was shown to represent an ON to OFF switch in an increasing proportion of cells. Here, we review the underlying all-or-nothing, digital paradigm for Polycomb epigenetic silencing. We then examine other Arabidopsis Polycomb-regulated targets where digital regulation may also be relevant.
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Affiliation(s)
- Govind Menon
- Department of Computational and Systems Biology, John Innes Centre, Norwich NR4 7UH, UK
| | - Anna Schulten
- Department of Cell and Developmental Biology, John Innes Centre, Norwich NR4 7UH, UK
| | - Caroline Dean
- Department of Cell and Developmental Biology, John Innes Centre, Norwich NR4 7UH, UK
| | - Martin Howard
- Department of Computational and Systems Biology, John Innes Centre, Norwich NR4 7UH, UK.
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13
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Paajanen P, Lane de Barros Dantas L, Dodd AN. Layers of crosstalk between circadian regulation and environmental signalling in plants. Curr Biol 2021; 31:R399-R413. [PMID: 33905701 DOI: 10.1016/j.cub.2021.03.046] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Circadian regulation has a pervasive influence upon plant development, physiology and metabolism, impacting upon components of fitness and traits of agricultural importance. Circadian regulation is inextricably connected to the responses of plants to their abiotic environments, from the cellular to whole plant scales. Here, we review the crosstalk that occurs between circadian regulation and responses to the abiotic environment from the intracellular scale through to naturally fluctuating environments. We examine the spatial crosstalk that forms part of plant circadian regulation, at the subcellular, tissue, organ and whole-plant scales. This includes a focus on chloroplast and mitochondrial signalling, alternative splicing, long-distance circadian signalling and circadian regulation within natural environments. We also consider mathematical models for plant circadian regulation, to suggest future areas for advancing understanding of roles for circadian regulation in plant responses to environmental cues.
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Affiliation(s)
- Pirita Paajanen
- John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
| | | | - Antony N Dodd
- John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.
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14
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Vimont N, Schwarzenberg A, Domijan M, Donkpegan ASL, Beauvieux R, le Dantec L, Arkoun M, Jamois F, Yvin JC, Wigge PA, Dirlewanger E, Cortijo S, Wenden B. Fine tuning of hormonal signaling is linked to dormancy status in sweet cherry flower buds. TREE PHYSIOLOGY 2021; 41:544-561. [PMID: 32975290 DOI: 10.1093/treephys/tpaa122] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 12/10/2019] [Accepted: 09/13/2020] [Indexed: 05/21/2023]
Abstract
In temperate trees, optimal timing and quality of flowering directly depend on adequate winter dormancy progression, regulated by a combination of chilling and warm temperatures. Physiological, genetic and functional genomic studies have shown that hormones play a key role in bud dormancy establishment, maintenance and release. We combined physiological and transcriptional analyses, quantification of abscisic acid (ABA) and gibberellins (GAs), and modeling to further investigate how these signaling pathways are associated with dormancy progression in the flower buds of two sweet cherry cultivars. Our results demonstrated that GA-associated pathways have distinct functions and may be differentially related with dormancy. In addition, ABA levels rise at the onset of dormancy, associated with enhanced expression of ABA biosynthesis PavNCED genes, and decreased prior to dormancy release. Following the observations that ABA levels are correlated with dormancy depth, we identified PavUG71B6, a sweet cherry UDP-GLYCOSYLTRANSFERASE gene that up-regulates active catabolism of ABA to ABA glucosyl ester (ABA-GE) and may be associated with low ABA content in the early cultivar. Subsequently, we modeled ABA content and dormancy behavior in three cultivars based on the expression of a small set of genes regulating ABA levels. These results strongly suggest the central role of ABA pathway in the control of dormancy progression and open up new perspectives for the development of molecular-based phenological modeling.
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Affiliation(s)
- Noémie Vimont
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
- Agro Innovation International - Centre Mondial d'Innovation - Groupe Roullier, 35400 St Malo, France
- The Sainsbury Laboratory, University of Cambridge, Bateman St., Cambridge CB2 1LR, United Kingdom
| | - Adrian Schwarzenberg
- Agro Innovation International - Centre Mondial d'Innovation - Groupe Roullier, 35400 St Malo, France
| | - Mirela Domijan
- Dept. of Mathematical Sciences, University of Liverpool, Peach St., Liverpool L69 7ZL, United Kingdom
| | - Armel S L Donkpegan
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
| | - Rémi Beauvieux
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
| | - Loïck le Dantec
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
| | - Mustapha Arkoun
- Agro Innovation International - Centre Mondial d'Innovation - Groupe Roullier, 35400 St Malo, France
| | - Frank Jamois
- Agro Innovation International - Centre Mondial d'Innovation - Groupe Roullier, 35400 St Malo, France
| | - Jean-Claude Yvin
- Agro Innovation International - Centre Mondial d'Innovation - Groupe Roullier, 35400 St Malo, France
| | - Philip A Wigge
- Leibniz-Institut für Gemüse- und Zierpflanzenbau (IGZ), Department for Plant Adaptation, Theodor-Echtermeyer-Weg 1, 14979 Groβbeeren, Germany
| | - Elisabeth Dirlewanger
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
| | - Sandra Cortijo
- The Sainsbury Laboratory, University of Cambridge, Bateman St., Cambridge CB2 1LR, United Kingdom
| | - Bénédicte Wenden
- Univ. Bordeaux, INRAE, Biologie du Fruit et Pathologie, UMR 1332, av. Edouard Bourlaux, 33140 Villenave d'Ornon, France
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15
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Buzas DM, Nishio H, Kudoh H. The Flowering Season-Meter at FLOWERING LOCUS C Across Life Histories in Crucifers. FRONTIERS IN PLANT SCIENCE 2021; 12:640442. [PMID: 33777074 PMCID: PMC7991900 DOI: 10.3389/fpls.2021.640442] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
Many plant species overwinter before they flower. Transition to flowering is aligned to the seasonal transition as a response to the prolonged cold in winter by a process called vernalization. Multiple well-documented vernalization properties in crucifer species with diverse life histories are derived from environmental regulation of a central inhibitor of the flowering gene, Flowering Locus C (FLC). Episode(s) of flowering are prevented during high FLC expression and enabled during low FLC expression. FLC repression outlasts the winter to coincide with spring; this heterochronic aspect is termed "winter memory." In the annual Arabidopsis thaliana, winter memory has long been associated with the highly conserved histone modifiers Polycomb and Trithorax, which have antagonistic roles in transcription. However, there are experimental limitations in determining how dynamic, heterogenous histone modifications within the FLC locus generate the final transcriptional output. Recent theoretical considerations on cell-to-cell variability in gene expression and histone modifications generating bistable states brought support to the hypothesis of chromatin-encoded memory, as with other experimental systems in eukaryotes. Furthermore, these advances unify multiple properties of vernalization, not only the winter memory. Similarly, in the perennial Arabidopsis halleri ssp. gemmifera, recent integration of molecular with mathematical and ecological approaches unifies FLC chromatin features with the all-year-round memory of seasonal temperature. We develop the concept of FLC season-meter to combine existing information from the contrasting annual/perennial and experimental/theoretical sectors into a transitional framework. We highlight simplicity, high conservation, and discrete differences across extreme life histories in crucifers.
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Affiliation(s)
- Diana Mihaela Buzas
- Faculty of Life and Environmental Sciences, Tsukuba-Plant Innovation Research Center, University of Tsukuba, Tsukuba, Japan
| | - Haruki Nishio
- Center for Ecological Research, Kyoto University, Otsu, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Otsu, Japan
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16
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Antoniou-Kourounioti RL, Zhao Y, Dean C, Howard M. Feeling Every Bit of Winter - Distributed Temperature Sensitivity in Vernalization. FRONTIERS IN PLANT SCIENCE 2021; 12:628726. [PMID: 33584778 PMCID: PMC7873433 DOI: 10.3389/fpls.2021.628726] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/07/2021] [Indexed: 06/01/2023]
Abstract
Temperature intrinsically influences all aspects of biochemical and biophysical processes. Organisms have therefore evolved strategies to buffer themselves against thermal perturbations. Many organisms also use temperature signals as cues to align behavior and development with certain seasons. These developmentally important thermosensory mechanisms have generally been studied in constant temperature conditions. However, environmental temperature is an inherently noisy signal, and it has been unclear how organisms reliably extract specific temperature cues from fluctuating temperature profiles. In this context, we discuss plant thermosensory responses, focusing on temperature sensing throughout vernalization in Arabidopsis. We highlight many different timescales of sensing, which has led to the proposal of a distributed thermosensing paradigm. Within this paradigm, we suggest a classification system for thermosensors. Finally, we focus on the longest timescale, which is most important for sensing winter, and examine the different mechanisms in which memory of cold exposure can be achieved.
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Affiliation(s)
| | - Yusheng Zhao
- Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
| | - Caroline Dean
- Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
| | - Martin Howard
- Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
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17
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Soppe WJJ, Viñegra de la Torre N, Albani MC. The Diverse Roles of FLOWERING LOCUS C in Annual and Perennial Brassicaceae Species. FRONTIERS IN PLANT SCIENCE 2021; 12:627258. [PMID: 33679840 PMCID: PMC7927791 DOI: 10.3389/fpls.2021.627258] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 01/25/2021] [Indexed: 05/07/2023]
Abstract
Most temperate species require prolonged exposure to winter chilling temperatures to flower in the spring. In the Brassicaceae, the MADS box transcription factor FLOWERING LOCUS C (FLC) is a major regulator of flowering in response to prolonged cold exposure, a process called vernalization. Winter annual Arabidopsis thaliana accessions initiate flowering in the spring due to the stable silencing of FLC by vernalization. The role of FLC has also been explored in perennials within the Brassicaceae family, such as Arabis alpina. The flowering pattern in A. alpina differs from the one in A. thaliana. A. alpina plants initiate flower buds during vernalization but only flower after subsequent exposure to growth-promoting conditions. Here we discuss the role of FLC in annual and perennial Brassicaceae species. We show that, besides its conserved role in flowering, FLC has acquired additional functions that contribute to vegetative and seed traits. PERPETUAL FLOWERING 1 (PEP1), the A. alpina FLC ortholog, contributes to the perennial growth habit. We discuss that PEP1 directly and indirectly, regulates traits such as the duration of the flowering episode, polycarpic growth habit and shoot architecture. We suggest that these additional roles of PEP1 are facilitated by (1) the ability of A. alpina plants to form flower buds during long-term cold exposure, (2) age-related differences between meristems, which enable that not all meristems initiate flowering during cold exposure, and (3) differences between meristems in stable silencing of PEP1 after long-term cold, which ensure that PEP1 expression levels will remain low after vernalization only in meristems that commit to flowering during cold exposure. These features result in spatiotemporal seasonal changes of PEP1 expression during the A. alpina life cycle that contribute to the perennial growth habit. FLC and PEP1 have also been shown to influence the timing of another developmental transition in the plant, seed germination, by influencing seed dormancy and longevity. This suggests that during evolution, FLC and its orthologs adopted both similar and divergent roles to regulate life history traits. Spatiotemporal changes of FLC transcript accumulation drive developmental decisions and contribute to life history evolution.
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Affiliation(s)
| | - Natanael Viñegra de la Torre
- Institute for Plant Sciences, University of Cologne, Cologne, Germany
- Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Cluster of Excellence on Plant Sciences, “SMART Plants for Tomorrow’s Needs,” Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Maria C. Albani
- Institute for Plant Sciences, University of Cologne, Cologne, Germany
- Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Cluster of Excellence on Plant Sciences, “SMART Plants for Tomorrow’s Needs,” Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- *Correspondence: Maria C. Albani, ;
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18
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Nishio H, Iwayama K, Kudoh H. Duration of cold exposure defines the rate of reactivation of a perennial FLC orthologue via H3K27me3 accumulation. Sci Rep 2020; 10:16056. [PMID: 32994432 PMCID: PMC7525499 DOI: 10.1038/s41598-020-72566-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/31/2020] [Indexed: 12/15/2022] Open
Abstract
Vernalisation is the process in which long-term cold exposure makes plants competent to flower. In vernalisation of Arabidopsis thaliana, a floral repressor, AtFLC, undergoes epigenetic silencing. Although the silencing of AtFLC is maintained under warm conditions after a sufficient duration of cold, FLC orthologues are reactivated under the same conditions in perennial plants, such as A. halleri. In contrast to the abundant knowledge on cold requirements in AtFLC silencing, it has remained unknown how cold duration affects the reactivation of perennial FLC. Here, we analysed the dynamics of A. halleri FLC (AhgFLC) mRNA, H3K4me3, and H3K27me3 over 8 weeks and 14 weeks cold followed by warm conditions. We showed that the minimum levels of AhgFLC mRNA and H3K4me3 were similar between 8 and 14 weeks vernalisation; however, the maximum level of H3K27me3 was higher after 14 weeks than after 8 weeks vernalisation. Combined with mathematical modelling, we showed that H3K27me3 prevents a rapid increase in AhgFLC expression in response to warm temperatures after vernalisation, which controls AhgFT expression and the initiation of flowering. Thus, the duration of cold defines the rate of AhgFLC reactivation via the buffering function of H3K27me3 against temperature increase.
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Affiliation(s)
- Haruki Nishio
- Center for Ecological Research, Kyoto University, 2-509-3 Hirano, Otsu, 520-2113, Japan.
| | - Koji Iwayama
- Faculty of Data Science, Shiga University, 1-1-1 Bamba, Hikone, Shiga, 522-8522, Japan.,PRESTO, Japan Science and Technology Agency, Kawaguchi, 332-0012, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, 2-509-3 Hirano, Otsu, 520-2113, Japan.
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19
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Nishio H, Nagano AJ, Ito T, Suzuki Y, Kudoh H. Seasonal plasticity and diel stability of H3K27me3 in natural fluctuating environments. NATURE PLANTS 2020; 6:1091-1097. [PMID: 32868888 DOI: 10.1038/s41477-020-00757-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/26/2020] [Indexed: 06/11/2023]
Abstract
Diel and seasonal oscillations are two major environmental changes in nature. While organisms cope with the former by the well-characterized mechanism of the circadian clock1,2, there is limited information on the molecular mechanisms underlying long-term responses to the latter3-5. Histone H3 lysine 27 trimethylation (H3K27me3), a repressive histone modification, imparts stability and plasticity to gene regulation during developmental transitions6-9. Here we studied the seasonal and diel dynamics of H3K27me3 at the genome-wide level in a natural population of perennial Arabidopsis halleri and compared these dynamics with those of histone H3 lysine 4 trimethylation (H3K4me3), an active histone modification. Chromatin immunoprecipitation sequencing revealed that H3K27me3 exhibits seasonal plasticity and diel stability. Furthermore, we found that the seasonal H3K27me3 oscillation is delayed in phase relative to the H3K4me3 oscillation, particularly for genes associated with environmental memory. Our findings suggest that H3K27me3 monitors past transcriptional activity to create long-term gene expression trends during organismal responses over weeks in natural fluctuating environments.
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Affiliation(s)
- Haruki Nishio
- Center for Ecological Research, Kyoto University, Otsu, Japan.
| | - Atsushi J Nagano
- Center for Ecological Research, Kyoto University, Otsu, Japan
- Faculty of Agriculture, Ryukoku University, Otsu, Japan
| | - Tasuku Ito
- Center for Ecological Research, Kyoto University, Otsu, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Hiroshi Kudoh
- Center for Ecological Research, Kyoto University, Otsu, Japan.
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