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Hu X, Cai W, Zhang L, Zhu Z, Okita TW, Tian L. Molecular Dialog of Ralstonia solanacearum and Plant Hosts with Highlights on Type III Effectors. Int J Mol Sci 2025; 26:3686. [PMID: 40332227 PMCID: PMC12027289 DOI: 10.3390/ijms26083686] [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: 03/24/2025] [Revised: 04/07/2025] [Accepted: 04/11/2025] [Indexed: 05/08/2025] Open
Abstract
Ralstonia solanacearum is a highly destructive soil-borne bacterium that causes bacterial wilt disease in more than 310 plant species worldwide. The pathogenicity of the bacteria is closely associated with type III effectors (T3Es), a class of virulence factors that are delivered to host plant cells by the type III secretion system. In spite of the complex evolutionary history and genetic diversity of the R. solanacearum species complex (RSSC), more than 100 different T3Es have been identified from the genomes of various strains. Based on the available functional studies, certain T3Es interact with host plant proteins and suppress host cell immunity, whereas other T3Es are recognized by the host plant to trigger specific resistance mechanisms. This review summarizes the mechanisms by which T3Es interfere with plant immune responses and the activation of the plant defense system upon T3E recognition. This in-depth review of the molecular interactions between R. solanacearum and its host plants offers insights into the complexity of plant-pathogen interactions and provides a scientific rationale and theoretical support for the future breeding of resistant crops.
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Affiliation(s)
- Xinyu Hu
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China; (X.H.); (W.C.); (L.Z.); (Z.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Zhejiang A&F University, Hangzhou 311300, China
| | - Weiwei Cai
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China; (X.H.); (W.C.); (L.Z.); (Z.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Zhejiang A&F University, Hangzhou 311300, China
| | - Laining Zhang
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China; (X.H.); (W.C.); (L.Z.); (Z.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Zhejiang A&F University, Hangzhou 311300, China
| | - Zhujun Zhu
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China; (X.H.); (W.C.); (L.Z.); (Z.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Zhejiang A&F University, Hangzhou 311300, China
| | - Thomas W. Okita
- Institute of Biological Chemistry, Washington State University, Pullman, WA 99164, USA
| | - Li Tian
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China; (X.H.); (W.C.); (L.Z.); (Z.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Zhejiang A&F University, Hangzhou 311300, China
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2
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Li Y, Kou S. A Ralstonia solanacearum Effector Targets Splicing Factor SR34a to Reprogram Alternative Splicing and Regulate Plant Immunity. PLANTS (BASEL, SWITZERLAND) 2025; 14:534. [PMID: 40006793 PMCID: PMC11859261 DOI: 10.3390/plants14040534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2024] [Revised: 12/29/2024] [Accepted: 01/01/2025] [Indexed: 02/27/2025]
Abstract
Alternative splicing is a critical post-transcriptional regulatory mechanism in eukaryotes. While infection with Ralstonia solanacearum GMI1000 significantly alters plant alternative splicing patterns, the underlying molecular mechanisms remain unclear. Herein, the effect of the GMI1000 Type III secretion system effectors on alternative splicing in the tomato cultivar Heinz 1706 was investigated. The RNA-seq analysis confirmed genome-wide alternative splicing changes induced by the Type III secretion system in tomato, including 1386 differential alternatively spliced events across 1023 genes, many of which are associated with plant defense. Seven nucleus-localized Type III effectors were transiently expressed in an RLPK splicing reporter system transgenic tobacco, identifying RipP2 as an effector that modulates alternative splicing levels. Sequence analysis, protein-protein interaction assays, and AlphaFold2 structural predictions revealed that RipP2 interacted with the tomato splicing factor SR34a. Furthermore, RipP2 acetylated a conserved lysine at position 132 within the SWQDLKD motif of SR34a, regulating its splicing pattern in defense-related genes and modulating plant immunity. This study elucidates how the "RipP2-SR34a module" influences plant immune responses by regulating the alternative splicing of immune-related genes, providing new insights into pathogen-plant interactions and splicing regulation.
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Affiliation(s)
- Yunyun Li
- Hunan Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha 410082, China
| | - Song Kou
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China;
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3
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Qu Q, Zhu Z, Zhao M, Wang H, Cui W, Huang X, Yuan Z, Zheng Y, Dong N, Liu Y, Wang H, Dong C, Zhang Z, Li Y. Optimization ultrasonic-assisted aqueous two-phase extraction of glabridin from licorice root and its activity against the foodborne pathogen MRSA. Food Chem X 2025; 26:102338. [PMID: 40115497 PMCID: PMC11924929 DOI: 10.1016/j.fochx.2025.102338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2024] [Revised: 02/22/2025] [Accepted: 02/26/2025] [Indexed: 03/23/2025] Open
Abstract
This study aimed to extract glabridin (GLA) from licorice using an environmentally sustainable ultrasonic-assisted aqueous two-phase extraction method and to evaluate its efficacy. The extraction parameters were optimized through single-factor experiments and response surface methodology, resulting in a GLA content of 2049.51 μg/g under the conditions of 51 min ultrasonic time, 76 °C ultrasonic temperature, and 640 W ultrasonic power. In vitro analyses demonstrated that licorice extract (1.6 mg/mL) and GLA (8 μg/g) exhibited rapid bactericidal activity against methicillin-resistant Staphylococcus aureus (MRSA). Furthermore, both licorice extract and GLA showed significant disinfection activity against MRSA in models of pork spoilage and cooking utensils. Mechanistic studies revealed that GLA targets phospholipids, thereby disrupting the integrity and normal function of bacterial cell membranes. In conclusion, this study introduces an environmentally sustainable and effective method for obtaining a GLA-rich extract from licorice, which has potential applications in the food industry for addressing MRSA contamination.
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Affiliation(s)
- Qianwei Qu
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technol, Northeast Agricultural University, Harbin, China
| | - Zhenxin Zhu
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- Huilong Town Comprehensive Service Center, Qidong City, Jiangsu, China
| | - Mengmeng Zhao
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Huiwen Wang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Wenqiang Cui
- University of Chinese Academy of Sciences, Beijing, China
| | - Xingyu Huang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Zhongwei Yuan
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Yadan Zheng
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Na Dong
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technol, Northeast Agricultural University, Harbin, China
| | - Yanyan Liu
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Haoran Wang
- Southern Medical University, Guangzhou, China
| | - Chunliu Dong
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Zhiyun Zhang
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Yanhua Li
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
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4
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Patel DT, Stogios PJ, Jaroszewski L, Urbanus ML, Sedova M, Semper C, Le C, Takkouche A, Ichii K, Innabi J, Patel DH, Ensminger AW, Godzik A, Savchenko A. Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors. Mol Syst Biol 2025; 21:59-89. [PMID: 39562741 PMCID: PMC11696984 DOI: 10.1038/s44320-024-00076-z] [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: 05/21/2024] [Revised: 10/17/2024] [Accepted: 10/31/2024] [Indexed: 11/21/2024] Open
Abstract
Legionella pneumophila utilizes the Dot/Icm type IVB secretion system to deliver hundreds of effector proteins inside eukaryotic cells to ensure intracellular replication. Our understanding of the molecular functions of the largest pathogenic arsenal known to the bacterial world remains incomplete. By leveraging advancements in 3D protein structure prediction, we provide a comprehensive structural analysis of 368 L. pneumophila effectors, representing a global atlas of predicted functional domains summarized in a database ( https://pathogens3d.org/legionella-pneumophila ). Our analysis identified 157 types of diverse functional domains in 287 effectors, including 159 effectors with no prior functional annotations. Furthermore, we identified 35 cryptic domains in 30 effector models that have no similarity with experimentally structurally characterized proteins, thus, hinting at novel functionalities. Using this analysis, we demonstrate the activity of thirteen functional domains, including three cryptic domains, predicted in L. pneumophila effectors to cause growth defects in the Saccharomyces cerevisiae model system. This illustrates an emerging strategy of exploring synergies between predictions and targeted experimental approaches in elucidating novel effector activities involved in infection.
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Affiliation(s)
- Deepak T Patel
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Peter J Stogios
- BioZone, Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, M5S 1A4, Canada
| | - Lukasz Jaroszewski
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA
| | - Malene L Urbanus
- Department of Biochemistry, University of Toronto, Toronto, ON, M5G 1M1, Canada
| | - Mayya Sedova
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA
| | - Cameron Semper
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Cathy Le
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Abraham Takkouche
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA
| | - Keita Ichii
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA
| | - Julie Innabi
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA
| | - Dhruvin H Patel
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Alexander W Ensminger
- Department of Biochemistry, University of Toronto, Toronto, ON, M5G 1M1, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5G 1M1, Canada.
| | - Adam Godzik
- University of California, Riverside, School of Medicine, Biosciences Division, Riverside, CA, USA.
| | - Alexei Savchenko
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, T2N 4N1, Canada.
- BioZone, Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, M5S 1A4, Canada.
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Chakravarty D, Schafer JW, Chen EA, Thole JF, Ronish LA, Lee M, Porter LL. AlphaFold predictions of fold-switched conformations are driven by structure memorization. Nat Commun 2024; 15:7296. [PMID: 39181864 PMCID: PMC11344769 DOI: 10.1038/s41467-024-51801-z] [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: 08/19/2024] [Indexed: 08/27/2024] Open
Abstract
Recent work suggests that AlphaFold (AF)-a deep learning-based model that can accurately infer protein structure from sequence-may discern important features of folded protein energy landscapes, defined by the diversity and frequency of different conformations in the folded state. Here, we test the limits of its predictive power on fold-switching proteins, which assume two structures with regions of distinct secondary and/or tertiary structure. We find that (1) AF is a weak predictor of fold switching and (2) some of its successes result from memorization of training-set structures rather than learned protein energetics. Combining >280,000 models from several implementations of AF2 and AF3, a 35% success rate was achieved for fold switchers likely in AF's training sets. AF2's confidence metrics selected against models consistent with experimentally determined fold-switching structures and failed to discriminate between low and high energy conformations. Further, AF captured only one out of seven experimentally confirmed fold switchers outside of its training sets despite extensive sampling of an additional ~280,000 models. Several observations indicate that AF2 has memorized structural information during training, and AF3 misassigns coevolutionary restraints. These limitations constrain the scope of successful predictions, highlighting the need for physically based methods that readily predict multiple protein conformations.
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Affiliation(s)
- Devlina Chakravarty
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Joseph W Schafer
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Ethan A Chen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Joseph F Thole
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Leslie A Ronish
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Myeongsang Lee
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Lauren L Porter
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA.
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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6
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Fernandes AS, Campos KF, de Assis JCS, Gonçalves OS, Queiroz MVD, Bazzolli DMS, Santana MF. Investigating the impact of insertion sequences and transposons in the genomes of the most significant phytopathogenic bacteria. Microb Genom 2024; 10. [PMID: 38568199 DOI: 10.1099/mgen.0.001219] [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: 04/05/2024] Open
Abstract
Genetic variability in phytopathogens is one of the main problems encountered for effective plant disease control. This fact may be related to the presence of transposable elements (TEs), but little is known about their role in host genomes. Here, we performed the most comprehensive analysis of insertion sequences (ISs) and transposons (Tns) in the genomes of the most important bacterial plant pathogens. A total of 35 692 ISs and 71 transposons were identified in 270 complete genomes. The level of pathogen-host specialization was found to be a significant determinant of the element distribution among the species. Some Tns were identified as carrying virulence factors, such as genes encoding effector proteins of the type III secretion system and resistance genes for the antimicrobial streptomycin. Evidence for IS-mediated ectopic recombination was identified in Xanthomonas genomes. Moreover, we found that IS elements tend to be inserted in regions near virulence and fitness genes, such ISs disrupting avirulence genes in X. oryzae genomes. In addition, transcriptome analysis under different stress conditions revealed differences in the expression of genes encoding transposases in the Ralstonia solanacearum, X. oryzae, and P. syringae species. Lastly, we also investigated the role of Tns in regulation via small noncoding regulatory RNAs and found these elements may target plant-cell transcriptional activators. Taken together, the results indicate that TEs may have a fundamental role in variability and virulence in plant pathogenic bacteria.
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7
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Syriste L, Patel DT, Stogios PJ, Skarina T, Patel D, Savchenko A. An acetyltransferase effector conserved across Legionella species targets the eukaryotic eIF3 complex to modulate protein translation. mBio 2024; 15:e0322123. [PMID: 38335095 PMCID: PMC10936415 DOI: 10.1128/mbio.03221-23] [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: 12/05/2023] [Accepted: 01/16/2024] [Indexed: 02/12/2024] Open
Abstract
The survival of Legionella spp. as intracellular pathogens relies on the combined action of protein effectors delivered inside their eukaryotic hosts by the Dot/Icm (defective in organelle trafficking/intracellular multiplication) type IVb secretion system. The specific repertoire of effector arsenals varies dramatically across over 60 known species of this genera with Legionella pneumophila responsible for most cases of Legionnaires' disease in humans encoding over 360 Dot/Icm effectors. However, a small subset of "core" effectors appears to be conserved across all Legionella species raising an intriguing question of their role in these bacteria's pathogenic strategy, which for most of these effectors remains unknown. L. pneumophila Lpg0103 effector, also known as VipF, represents one of the core effector families that features a tandem of Gcn5-related N-acetyltransferase (GNAT) domains. Here, we present the crystal structure of the Lha0223, the VipF representative from Legionella hackeliae in complex with acetyl-coenzyme A determined to 1.75 Å resolution. Our structural analysis suggested that this effector family shares a common fold with the two GNAT domains forming a deep groove occupied by residues conserved across VipF homologs. Further analysis suggested that only the C-terminal GNAT domain of VipF effectors retains the active site composition compatible with catalysis, whereas the N-terminal GNAT domain binds the ligand in a non-catalytical mode. We confirmed this by in vitro enzymatic assays which revealed VipF activity not only against generic small molecule substrates, such as chloramphenicol, but also against poly-L-lysine and histone-derived peptides. We identified the human eukaryotic translation initiation factor 3 (eIF3) complex co-precipitating with Lpg0103 and demonstrated the direct interaction between the several representatives of the VipF family, including Lpg0103 and Lha0223 with the K subunit of eIF3. According to our data, these interactions involve primarily the C-terminal tail of eIF3-K containing two lysine residues that are acetylated by VipF. VipF catalytic activity results in the suppression of eukaryotic protein translation in vitro, revealing the potential function of VipF "core" effectors in Legionella's pathogenic strategy.IMPORTANCEBy translocating effectors inside the eukaryotic host cell, bacteria can modulate host cellular processes in their favor. Legionella species, which includes the pneumonia-causing Legionella pneumophila, encode a widely diverse set of effectors with only a small subset that is conserved across this genus. Here, we demonstrate that one of these conserved effector families, represented by L. pneumophila VipF (Lpg0103), is a tandem Gcn5-related N-acetyltransferase interacting with the K subunit of human eukaryotic initiation factor 3 complex. VipF catalyzes the acetylation of lysine residues on the C-terminal tail of the K subunit, resulting in the suppression of eukaryotic translation initiation factor 3-mediated protein translation in vitro. These new data provide the first insight into the molecular function of this pathogenic factor family common across Legionellae.
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Affiliation(s)
- Lukas Syriste
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Deepak T. Patel
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Peter J. Stogios
- Department of Chemical Engineering and Applied Chemistry, Toronto University, Toronto, Ontario, Canada
| | - Tatiana Skarina
- Department of Chemical Engineering and Applied Chemistry, Toronto University, Toronto, Ontario, Canada
| | - Dhruvin Patel
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Alexei Savchenko
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
- Department of Chemical Engineering and Applied Chemistry, Toronto University, Toronto, Ontario, Canada
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Schafer JW, Porter LL. Evolutionary selection of proteins with two folds. Nat Commun 2023; 14:5478. [PMID: 37673981 PMCID: PMC10482954 DOI: 10.1038/s41467-023-41237-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 08/24/2023] [Indexed: 09/08/2023] Open
Abstract
Although most globular proteins fold into a single stable structure, an increasing number have been shown to remodel their secondary and tertiary structures in response to cellular stimuli. State-of-the-art algorithms predict that these fold-switching proteins adopt only one stable structure, missing their functionally critical alternative folds. Why these algorithms predict a single fold is unclear, but all of them infer protein structure from coevolved amino acid pairs. Here, we hypothesize that coevolutionary signatures are being missed. Suspecting that single-fold variants could be masking these signatures, we developed an approach, called Alternative Contact Enhancement (ACE), to search both highly diverse protein superfamilies-composed of single-fold and fold-switching variants-and protein subfamilies with more fold-switching variants. ACE successfully revealed coevolution of amino acid pairs uniquely corresponding to both conformations of 56/56 fold-switching proteins from distinct families. Then, we used ACE-derived contacts to (1) predict two experimentally consistent conformations of a candidate protein with unsolved structure and (2) develop a blind prediction pipeline for fold-switching proteins. The discovery of widespread dual-fold coevolution indicates that fold-switching sequences have been preserved by natural selection, implying that their functionalities provide evolutionary advantage and paving the way for predictions of diverse protein structures from single sequences.
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Affiliation(s)
- Joseph W Schafer
- National Library of Medicine, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Lauren L Porter
- National Library of Medicine, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, 20894, USA.
- National Heart, Lung, and Blood Institute, Biochemistry and Biophysics Center, National Institutes of Health, Bethesda, MD, 20892, USA.
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9
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Vailleau F, Genin S. Ralstonia solanacearum: An Arsenal of Virulence Strategies and Prospects for Resistance. ANNUAL REVIEW OF PHYTOPATHOLOGY 2023; 61:25-47. [PMID: 37506349 DOI: 10.1146/annurev-phyto-021622-104551] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2023]
Abstract
The group of strains constituting the Ralstonia solanacearum species complex (RSSC) is a prominent model for the study of plant-pathogenic bacteria because of its impact on agriculture, owing to its wide host range, worldwide distribution, and long persistence in the environment. RSSC strains have led to numerous studies aimed at deciphering the molecular bases of virulence, and many biological functions and mechanisms have been described to contribute to host infection and pathogenesis. In this review, we put into perspective recent advances in our understanding of virulence in RSSC strains, both in terms of the inventory of functions that participate in this process and their evolutionary dynamics. We also present the different strategies that have been developed to combat these pathogenic strains through biological control, antimicrobial agents, plant genetics, or microbiota engineering.
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Affiliation(s)
- Fabienne Vailleau
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France; ,
| | - Stéphane Genin
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France; ,
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10
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Porter LL. Fluid protein fold space and its implications. Bioessays 2023; 45:e2300057. [PMID: 37431685 PMCID: PMC10529699 DOI: 10.1002/bies.202300057] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 07/12/2023]
Abstract
Fold-switching proteins, which remodel their secondary and tertiary structures in response to cellular stimuli, suggest a new view of protein fold space. For decades, experimental evidence has indicated that protein fold space is discrete: dissimilar folds are encoded by dissimilar amino acid sequences. Challenging this assumption, fold-switching proteins interconnect discrete groups of dissimilar protein folds, making protein fold space fluid. Three recent observations support the concept of fluid fold space: (1) some amino acid sequences interconvert between folds with distinct secondary structures, (2) some naturally occurring sequences have switched folds by stepwise mutation, and (3) fold switching is evolutionarily selected and likely confers advantage. These observations indicate that minor amino acid sequence modifications can transform protein structure and function. Consequently, proteomic structural and functional diversity may be expanded by alternative splicing, small nucleotide polymorphisms, post-translational modifications, and modified translation rates.
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Affiliation(s)
- Lauren L. Porter
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
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11
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Cui W, Dong J, Wang S, Vogel H, Zou R, Yuan S. Molecular basis of ligand selectivity for melatonin receptors. RSC Adv 2023; 13:4422-4430. [PMID: 36760312 PMCID: PMC9891099 DOI: 10.1039/d2ra06693a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
Sleep disorders in adults are related to adverse health effects such as reduced quality of life and increased mortality. About 30-40% of adults are suffering from different sleep disorders. The human melatonin receptors (MT1 and MT2) are family A G protein-coupled receptors that respond to the neurohormone melatonin MEL which regulates circadian rhythm and sleep. Many efforts have been made to develop drugs targeting melatonin receptors to treat insomnia, circadian rhythm disorders, and even cancer. However, designing subtype-selective melatonergic drugs remains challenging due to their high similarities in both sequences and structures. MEL (a function-selective compound with a bulky β-naphthyl group) behaves as an MT2-selective antagonist, whereas it is an agonist of MT1. Here, molecular dynamics simulations were used to investigate the ligand selectivity of MT receptors at the atomic level. We found that the binding conformation of MEL differs in different melatonin receptors. In MT1, the naphthalene ring of MEL forms a structure perpendicular to the membrane surface. In contrast, there is a 130° angle between the naphthalene ring of MEL and the membrane surface in MT2. Because of this conformational difference, the MEL leads to a constant water channel in MT1 which activates the receptor. However, MEL hinders the formation of continuous water channels, resulting in an inactive state of MT2. Furthermore, we found that A1173.29 in MT2 is a crucial amino acid capable of hindering the conformational flip of the MEL molecule. These results, coupled with previous functional data, reveal that although MT1 and MT2 share highly similar orthosteric ligand-binding pockets, they also display distinctive features that could be used to design selective compounds. Our findings provide new insights into functionally selective melatonergic drug development for sleep disorders.
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Affiliation(s)
- Wenqiang Cui
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China .,University of Chinese Academy of Sciences Beijing 100049 China
| | - Junlin Dong
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China .,University of Chinese Academy of Sciences Beijing 100049 China
| | - Shiyu Wang
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China .,University of Chinese Academy of Sciences Beijing 100049 China
| | - Horst Vogel
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
| | - Rongfeng Zou
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
| | - Shuguang Yuan
- The Research Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
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