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Yang JF, Chen MX, Zhang JH, Hao GF, Yang GF. Genome-wide phylogenetic and structural analysis reveals the molecular evolution of the ABA receptor gene family. J Exp Bot 2020; 71:1322-1336. [PMID: 31740933 DOI: 10.1093/jxb/erz511] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 11/13/2019] [Indexed: 06/10/2023]
Abstract
The plant hormone abscisic acid (ABA) plays a crucial role during the plant life cycle as well as in adaptive responses to environmental stresses. The core regulatory components of ABA signaling in plants are the pyrabactin resistance1/PYR1-like/regulatory component of ABA receptor family (PYLs), which comprise the largest plant hormone receptor family known. They act as negative regulators of members of the protein phosphatase type 2C family. Due to the biological importance of PYLs, many researchers have focused on their genetic redundancy and consequent functional divergence. However, little is understood of their evolution and its impact on the generation of regulatory diversity. In this study, we identify positive selection and functional divergence in PYLs through phylogenetic reconstruction, gene structure and expression pattern analysis, positive selection analysis, functional divergence analysis, and structure comparison. We found the correlation of desensitization of PYLs under specific modifications in the molecular recognition domain with functional diversification. Hence, an interesting antagonistic co-evolutionary mechanism is proposed for the functional diversification of ABA receptor family proteins. We believe a compensatory evolutionary pathway may have occurred.
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Affiliation(s)
- Jing-Fang Yang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, P.R. China
- International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan, P. R. China
| | - Mo-Xian Chen
- Shenzhen Research Institute, the Chinese University of Hong Kong, Shenzhen, P. R. China
| | - Jian-Hua Zhang
- Shenzhen Research Institute, the Chinese University of Hong Kong, Shenzhen, P. R. China
- Department of Biology, Hong Kong Baptist University, Kowloon Tong, Hong Kong, P. R. China
- State Key Laboratory of Agrobiotechnology, the Chinese University of Hong Kong, Shatin, Hong Kong, P. R. China
| | - Ge-Fei Hao
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, P.R. China
- International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan, P. R. China
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Research and Development Center for Fine Chemicals, Guizhou University, Guiyang, P. R. China
| | - Guang-Fu Yang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, P.R. China
- International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan, P. R. China
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin, P. R. China
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Abstract
Aggregation of amyloid β (Aβ) peptide is implicated in fatal Alzheimer's disease, for which no cure is available. Understanding the mechanisms responsible for this aggregation is required in order for therapies to be developed. In an effort to better understand the molecular mechanisms involved in spontaneous aggregation of Aβ peptide, extensive molecular dynamics simulations are reported, and the results are analyzed through a combination of structural biology tools and a novel essential collective dynamics method. Several model systems composed of ten or twelve Aβ17-42 chains in water are investigated, and the influence of metal ions is probed. The results suggest that Aβ monomers tend to aggregate into stable globular-like oligomers with 13-23% of β-sheet content. Two stages of oligomer formation have been identified: quick collapse within the first 40 ns of the simulation, characterized by a decrease in inter-chain separation and build-up of β-sheets, and the subsequent slow relaxation of the oligomer structure. The resulting oligomers comprise a stable, coherently moving sub-aggregate of 6-9 strongly inter-correlated chains. Cu2+ and Fe2+ ions have been found to develop coordination bonds with carboxylate groups of E22, D23 and A42, which remain stable during 200 ns simulations. The presence of Fe2+, and particularly Cu2+ ions, in negatively charged cavities has been found to cause significant changes in the structure and dynamics of the oligomers. The results indicate, in particular, that formation of non-fibrillar oligomers might be involved in early template-free aggregation of Aβ17-42 monomers, with charged species such as Cu2+ or Fe2+ ions playing an important role.
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Affiliation(s)
- L Dorosh
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada. and National Research Council of Canada, Edmonton, Alberta, Canada
| | - M Stepanova
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada. and National Research Council of Canada, Edmonton, Alberta, Canada and Department of Physics, Astronomy, and Materials Science, Missouri State University, Springfield, MO, USA
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Mane JY, Stepanova M. Understanding the dynamics of monomeric, dimeric, and tetrameric α-synuclein structures in water. FEBS Open Bio 2016; 6:666-86. [PMID: 27398307 PMCID: PMC4932447 DOI: 10.1002/2211-5463.12069] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 04/05/2016] [Accepted: 04/06/2016] [Indexed: 01/20/2023] Open
Abstract
Human α‐synuclein (αS) is an intrinsically disordered protein associated with Parkinson's disease. Molecular mechanisms of corruptive misfolding and aggregation of αS resulting in the disease, as well as the structure and other properties of the corresponding oligomers are not entirely understood yet, preventing the development of efficient therapies. In this study, we investigate the folding dynamics of initially unfolded hypothetical αS constructs in water using all‐atom molecular dynamics simulations. We also employ the novel essential collective dynamics method to analyze the results obtained from the simulations. Our comparative analysis of monomeric, dimeric, and tetrameric αS models reveals pronounced differences in their structure and stability, emphasizing the importance of small oligomers, particularly dimers, in the process of misfolding.
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Affiliation(s)
- Jonathan Y Mane
- Department of Electrical and Computer Engineering University of Alberta Edmonton Canada; National Institute for Nanotechnology National Research Council Canada Edmonton Canada
| | - Maria Stepanova
- Department of Electrical and Computer Engineering University of Alberta Edmonton Canada; National Institute for Nanotechnology National Research Council Canada Edmonton Canada; Department of Physics, Astronomy, and Materials Science Missouri State University Springfield MO USA
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