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Hirano S, Noguchi M, Thagun C, Nishio H, Kodama Y. Levels of photoactivated phototropin modulate signal transmission during the chloroplast accumulation response. PLANT, CELL & ENVIRONMENT 2024; 47:3215-3226. [PMID: 38736289 DOI: 10.1111/pce.14948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 04/17/2024] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
Chloroplasts accumulate in regions of plant cells exposed to irradiation to maximize light reception for efficient photosynthesis. This response is mediated by the blue-light receptor phototropin. Upon the perception of blue light, phototropin is photoactivated, an unknown signal is transmitted from the photoactivated phototropin to distant chloroplasts, and the chloroplasts begin their directional movement. How activated phototropin initiates this signal transmission is unknown. Here, using the liverwort Marchantia polymorpha, we analysed whether increased photoactive phototropin levels mediate signal transmission and chloroplast behaviour during the accumulation response. The signal transmission rate was higher in transgenic cells overexpressing phototropin than in wild-type cells. However, the chloroplast directional movement was similar between wild-type and transgenic cells. Consistent with the observation, increasing the amount of photoactivated phototropin through higher blue-light intensity also accelerated signal transmission but did not affect chloroplast behaviour in wild-type cells. Photoactivation of phototropin under weak blue-light led to the greater protein level of phosphorylated phototropin in cells overexpressing phototropin than in wild-type cells, whereas the autophosphorylation level within each phototropin molecule was similar. These results indicate that the abundance of photoactivated phototropin modulates the signal transmission rate to distant chloroplasts but does not affect chloroplast behaviour during the accumulation response.
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Affiliation(s)
- Satoyuki Hirano
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, Japan
- Graduate School of Regional Development and Creativity, Utsunomiya University, Tochigi, Japan
| | - Minoru Noguchi
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, Japan
- Graduate School of Regional Development and Creativity, Utsunomiya University, Tochigi, Japan
| | - Chonprakun Thagun
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, Japan
| | - Haruki Nishio
- Data Science and AI Innovation Research Promotion Center, Shiga University, Shiga, Japan
- Center for Ecological Research, Kyoto University, Shiga, Japan
| | - Yutaka Kodama
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, Japan
- Graduate School of Regional Development and Creativity, Utsunomiya University, Tochigi, Japan
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Nishio H, Hirano S, Kodama Y. Statistical analysis of organelle movement using state-space models. PLANT METHODS 2023; 19:67. [PMID: 37407985 DOI: 10.1186/s13007-023-01038-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 06/12/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Organelle motility is essential for the correct cellular function of various eukaryotic cells. In plant cells, chloroplasts move towards the intracellular area irradiated by a weak light to maximise photosynthesis. To initiate this process, an unknown signal is transferred from the irradiated area to distant chloroplasts. Quantification of this chloroplast movement has been performed using visual estimations that are analyst-dependent and labour-intensive. Therefore, an objective and faster method is required. RESULTS In this study, we developed the cellssm package of R ( https://github.com/hnishio/cellssm.git ), which is a user-friendly tool for state-space modelling to statistically analyse the directional movement of cells or organelles. Our method showed a high accuracy in estimating the start time of chloroplast movement in the liverwort Marchantia polymorpha over a short period. The tool indicated that chloroplast movement accelerates during transport to the irradiated area and that signal transfer speed is uneven within a cell. We also developed a method to estimate the common dynamics among multiple chloroplasts in each cell, which clarified different characteristics among cells. CONCLUSIONS We demonstrated that state-space modelling is a powerful method to understand organelle movement in eukaryotic cells. The cellssm package can be applied to various directional movements (both accumulation and avoidance) at cellular and subcellular levels to estimate the true transition of states behind the time-series data.
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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.
| | - Satoyuki Hirano
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, 321-8505, Japan
- Graduate School of Regional Development and Creativity, Utsunomiya University, Tochigi, 321-8505, Japan
| | - Yutaka Kodama
- Center for Bioscience Research and Education, Utsunomiya University, Tochigi, 321-8505, Japan.
- Graduate School of Regional Development and Creativity, Utsunomiya University, Tochigi, 321-8505, Japan.
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Wada M. Light-dependent spatiotemporal control of plant cell development and organelle movement in fern gametophytes. Microscopy (Oxf) 2019; 68:13-36. [PMID: 30576547 DOI: 10.1093/jmicro/dfy143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 10/30/2018] [Accepted: 11/24/2018] [Indexed: 11/12/2022] Open
Abstract
The haploid gametophyte generation of ferns is an excellent experimental material for cell biology studies because of its simple structure and high sensitivity to light. Each step of the developmental process, such as cell growth, cell cycle and the direction of cell division, is controlled, step by step, by light, unlike what happens in complex seed plant tissues. To perform analyses at the cell or organelle level, we have developed special tools, instruments and techniques, such as a cuvette suitable for repeated centrifugation in particular directions, microbeam irradiators for partial cell irradiation and single-cell ligation technique to create enucleated cells. Some of our main discoveries are as follows: (1) changes in the intracellular position of the nucleus in long protonemal cells by centrifugation revealed that the nuclear position or a factor(s) that is/are co-centrifuged with the nucleus is important for the decision regarding the place of the formation of preprophase bands and the timing of their disappearance, which determines the position where the new cell wall attaches to the mother cell wall; (2) even within a single cell, various phenomena could be induced by blue or red light, with the localization of the blue or red light receptors being different depending on the phenomenon; (3) de novo mRNA synthesis is not involved in the signal transduction pathways underlying light-induced chloroplast movements. In this review article, various microscopic techniques, in addition to the results of physiology studies in fern gametophytes, are described.
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Affiliation(s)
- Masamitsu Wada
- Department of Biological science, Graduate School of Science, Tokyo Metropolitan University, Tokyo, Japan
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Wang L, Wang H, Chen X, Xu Y, Zhou T, Wang X, Lu Q, Ruan R. Using Chlorella vulgaris to treat toxic excess sludge extract, and identification of its response mechanism by proteomics approach. BIORESOURCE TECHNOLOGY 2018; 253:188-196. [PMID: 29353749 DOI: 10.1016/j.biortech.2018.01.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 01/05/2018] [Accepted: 01/06/2018] [Indexed: 06/07/2023]
Abstract
Chlorella vulgaris was cultivated in varying proportions of toxic sludge extracts obtained from a sequencing batch reactor for treating synthetic wastewater containing chlorophenols. C. vulgaris could reduce the ecotoxicity from sludge extracts, and a positive correlation was noted between ecotoxicity removal and total organic carbon removal. In terms of cell density, the optimal proportion of sludge extracts required for the cultivation of C. vulgaris was lower than 50%. The correlation between protein content in per 106 algae and inhibition extent of ecotoxicity of the 5 groups on the day of inoculation (0.9182, p < .05) indicated a positive relationship between algal protein secretion and ecotoxicity. According to the protein expression and differential protein expression analysis, we concluded that C. vulgaris produced proteins that involved in the stress response/redox system and energy metabolism/biosynthesis to respond to the toxic environment and some other proteins related to mixotrophic metabolism.
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Affiliation(s)
- Lu Wang
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China; Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Avenue, St. Paul, MN 55108, United States
| | - Hualin Wang
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China
| | - Xiurong Chen
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China
| | - Yan Xu
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China
| | - Tianjun Zhou
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China
| | - Xiaoxiao Wang
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, East China University of Science and Technology, Shanghai 200237, PR China; National Engineering Laboratory for High-concentration Refractory Organic Wastewater Treatment Technologies (NELHROWTT), East China University of Science and Technology, Shanghai 200237, PR China
| | - Qian Lu
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Avenue, St. Paul, MN 55108, United States
| | - Roger Ruan
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Avenue, St. Paul, MN 55108, United States.
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