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Sumida T, Hiraoka S, Usui K, Ishiwata A, Sengoku T, Stubbs KA, Tanaka K, Deguchi S, Fushinobu S, Nunoura T. Genetic and functional diversity of β-N-acetylgalactosamine-targeting glycosidases expanded by deep-sea metagenome analysis. Nat Commun 2024; 15:3543. [PMID: 38730244 PMCID: PMC11087588 DOI: 10.1038/s41467-024-47653-2] [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: 08/23/2023] [Accepted: 04/08/2024] [Indexed: 05/12/2024] Open
Abstract
β-N-Acetylgalactosamine-containing glycans play essential roles in several biological processes, including cell adhesion, signal transduction, and immune responses. β-N-Acetylgalactosaminidases hydrolyze β-N-acetylgalactosamine linkages of various glycoconjugates. However, their biological significance remains ambiguous, primarily because only one type of enzyme, exo-β-N-acetylgalactosaminidases that specifically act on β-N-acetylgalactosamine residues, has been documented to date. In this study, we identify four groups distributed among all three domains of life and characterize eight β-N-acetylgalactosaminidases and β-N-acetylhexosaminidase through sequence-based screening of deep-sea metagenomes and subsequent searching of public protein databases. Despite low sequence similarity, the crystal structures of these enzymes demonstrate that all enzymes share a prototype structure and have diversified their substrate specificities (oligosaccharide-releasing, oligosaccharide/monosaccharide-releasing, and monosaccharide-releasing) through the accumulation of mutations and insertional amino acid sequences. The diverse β-N-acetylgalactosaminidases reported in this study could facilitate the comprehension of their structures and functions and present evolutionary pathways for expanding their substrate specificity.
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Affiliation(s)
- Tomomi Sumida
- Research Center for Bioscience and Nanoscience, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan.
| | - Satoshi Hiraoka
- Research Center for Bioscience and Nanoscience, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Keiko Usui
- Research Center for Bioscience and Nanoscience, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | | | - Toru Sengoku
- Department of Biochemistry, Yokohama City University Graduate School of Medicine, Kanazawa-ku, Yokohama, Japan
| | - Keith A Stubbs
- School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Katsunori Tanaka
- RIKEN, Cluster for Pioneering Research, Wako, Saitama, Japan
- Department of Chemical Science and Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo, Japan
| | - Shigeru Deguchi
- Research Center for Bioscience and Nanoscience, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Shinya Fushinobu
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
| | - Takuro Nunoura
- Research Center for Bioscience and Nanoscience, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
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2
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Yin Z, Lyu J, Zhang G, Huang X, Ma Q, Jiang J. SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:3798-3815. [PMID: 38549308 DOI: 10.3934/mbe.2024169] [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: 04/02/2024]
Abstract
The DNA N6-methyladenine (6mA) is an epigenetic modification, which plays a pivotal role in biological processes encompassing gene expression, DNA replication, repair, and recombination. Therefore, the precise identification of 6mA sites is fundamental for better understanding its function, but challenging. We proposed an improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes called SoftVoting6mA. The SoftVoting6mA selected four (electron-ion-interaction pseudo potential, One-hot encoding, Kmer, and pseudo dinucleotide composition) codes from 15 types of encoding to represent DNA sequences by comparing their performances. Similarly, the SoftVoting6mA combined four learning algorithms using the soft voting strategy. The 5-fold cross-validation and the independent tests showed that SoftVoting6mA reached the state-of-the-art performance. To enhance accessibility, a user-friendly web server is provided at http://www.biolscience.cn/SoftVoting6mA/.
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Affiliation(s)
- Zhaoting Yin
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Jianyi Lyu
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Guiyang Zhang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Xiaohong Huang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Qinghua Ma
- College of Information Science and Engineering, Hohai University, Nanjing 210000, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Jinyun Jiang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
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3
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Zhou Y, Zhang Y, Botchway BOA, Wang X, Liu X. Curcumin can improve spinal cord injury by inhibiting DNA methylation. Mol Cell Biochem 2024; 479:351-362. [PMID: 37076656 DOI: 10.1007/s11010-023-04731-1] [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: 03/04/2023] [Accepted: 04/05/2023] [Indexed: 04/21/2023]
Abstract
Spinal cord injury (SCI) is a serious central nervous system disease. Traumatic SCI often causes persistent neurological deficits below the injury level. Epigenetic changes occur after SCI. Studies have shown DNA methylation to be a key player in nerve regeneration and remodeling, and in regulating some pathophysiological characteristics of SCI. Curcumin is a natural polyphenol from turmeric. It has anti-inflammatory, antioxidant, and neuroprotective effects, and can mitigate the cell and tissue damage caused by SCI. This report analyzed the specific functions of DNA methylation in central nervous system diseases, especially traumatic brain injury and SCI. DNA methylation can regulate the level of gene expressions in the central nervous system. Therefore, pharmacological interventions regulating DNA methylation may be promising for SCI.
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Affiliation(s)
- Yu Zhou
- Department of Histology and Embryology, Medical College, Shaoxing University, Shaoxing, 312000, Zhejiang, China
| | - Yong Zhang
- Department of Histology and Embryology, Medical College, Shaoxing University, Shaoxing, 312000, Zhejiang, China
| | - Benson O A Botchway
- Institute of Neuroscience, Zhejiang University School of Medicine, Hangzhou, China
- Bupa Cromwell Hospital, London, UK
| | - Xichen Wang
- Department of Histology and Embryology, Medical College, Shaoxing University, Shaoxing, 312000, Zhejiang, China
| | - Xuehong Liu
- Department of Histology and Embryology, Medical College, Shaoxing University, Shaoxing, 312000, Zhejiang, China.
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4
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Zhang Y, Takaki Y, Yoshida-Takashima Y, Hiraoka S, Kurosawa K, Nunoura T, Takai K. A sequential one-pot approach for rapid and convenient characterization of putative restriction-modification systems. mSystems 2023; 8:e0081723. [PMID: 37843256 PMCID: PMC10734518 DOI: 10.1128/msystems.00817-23] [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: 08/03/2023] [Accepted: 09/05/2023] [Indexed: 10/17/2023] Open
Abstract
IMPORTANCE The elucidation of the molecular basis of virus-host coevolutionary interactions is boosted with state-of-the-art sequencing technologies. However, the sequence-only information is often insufficient to output a conclusive argument without biochemical characterizations. We proposed a 1-day and one-pot approach to confirm the exact function of putative restriction-modification (R-M) genes that presumably mediate microbial coevolution. The experiments mainly focused on a series of putative R-M enzymes from a deep-sea virus and its host bacterium. The results quickly unveiled unambiguous substrate specificities, superior catalytic performance, and unique sequence preferences for two new restriction enzymes (capable of cleaving DNA) and two new methyltransferases (capable of modifying DNA with methyl groups). The reality of the functional R-M system reinforced a model of mutually beneficial interactions with the virus in the deep-sea microbial ecosystem. The cell culture-independent approach also holds great potential for exploring novel and biotechnologically significant R-M enzymes from microbial dark matter.
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Affiliation(s)
- Yi Zhang
- SUGAR Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Yoshihiro Takaki
- SUGAR Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Yukari Yoshida-Takashima
- SUGAR Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Satoshi Hiraoka
- Research Center for Bioscience and Nanoscience (CeBN), MRU, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Kanako Kurosawa
- SUGAR Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Takuro Nunoura
- Research Center for Bioscience and Nanoscience (CeBN), MRU, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Ken Takai
- SUGAR Program, X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
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Peng Y, Lu Z, Pan D, Shi LD, Zhao Z, Liu Q, Zhang C, Jia K, Li J, Hubert CRJ, Dong X. Viruses in deep-sea cold seep sediments harbor diverse survival mechanisms and remain genetically conserved within species. THE ISME JOURNAL 2023; 17:1774-1784. [PMID: 37573455 PMCID: PMC10504277 DOI: 10.1038/s41396-023-01491-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/01/2023] [Accepted: 08/01/2023] [Indexed: 08/14/2023]
Abstract
Deep sea cold seep sediments have been discovered to harbor novel, abundant, and diverse bacterial and archaeal viruses. However, little is known about viral genetic features and evolutionary patterns in these environments. Here, we examined the evolutionary ecology of viruses across active and extinct seep stages in the area of Haima cold seeps in the South China Sea. A total of 338 viral operational taxonomic units are identified and linked to 36 bacterial and archaeal phyla. The dynamics of host-virus interactions are informed by diverse antiviral defense systems across 43 families found in 487 microbial genomes. Cold seep viruses are predicted to harbor diverse adaptive strategies to persist in this environment, including counter-defense systems, auxiliary metabolic genes, reverse transcriptases, and alternative genetic code assignments. Extremely low nucleotide diversity is observed in cold seep viral populations, being influenced by factors including microbial host, sediment depth, and cold seep stage. Most cold seep viral genes are under strong purifying selection with trajectories that differ depending on whether cold seeps are active or extinct. This work sheds light on the understanding of environmental adaptation mechanisms and evolutionary patterns of viruses in the sub-seafloor biosphere.
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Affiliation(s)
- Yongyi Peng
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Zijian Lu
- South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
| | - Donald Pan
- School of Oceanography, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ling-Dong Shi
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhao Zhao
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China
| | - Qing Liu
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Chuwen Zhang
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China
| | - Kuntong Jia
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Jiwei Li
- Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
| | - Casey R J Hubert
- Department of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Xiyang Dong
- Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China.
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6
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Sun C, Chen J, Jin M, Zhao X, Li Y, Dong Y, Gao N, Liu Z, Bork P, Zhao X, Chen W. Long-Read Sequencing Reveals Extensive DNA Methylations in Human Gut Phagenome Contributed by Prevalently Phage-Encoded Methyltransferases. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2302159. [PMID: 37382405 PMCID: PMC10477858 DOI: 10.1002/advs.202302159] [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: 04/06/2023] [Indexed: 06/30/2023]
Abstract
DNA methylation plays a crucial role in the survival of bacteriophages (phages), yet the understanding of their genome methylation remains limited. In this study, DNA methylation patterns are analyzed in 8848 metagenome-assembled high-quality phages from 104 fecal samples using single-molecule real-time sequencing. The results demonstrate that 97.60% of gut phages exhibit methylation, with certain factors correlating with methylation densities. Phages with higher methylation densities appear to have potential viability advantages. Strikingly, more than one-third of the phages possess their own DNA methyltransferases (MTases). Increased MTase copies are associated with higher genome methylation densities, specific methylation motifs, and elevated prevalence of certain phage groups. Notably, the majority of these MTases share close homology with those encoded by gut bacteria, suggesting their exchange during phage-bacterium interactions. Furthermore, these MTases can be employed to accurately predict phage-host relationships. Overall, the findings indicate the widespread utilization of DNA methylation by gut DNA phages as an evasion mechanism against host defense systems, with a substantial contribution from phage-encoded MTases.
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Affiliation(s)
- Chuqing Sun
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
| | - Jingchao Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
| | - Menglu Jin
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
| | - Xueyang Zhao
- College of Life ScienceHenan Normal UniversityXinxiangHenan453007P. R. China
| | - Yun Li
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
| | - Yanqi Dong
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433P. R. China
| | - Na Gao
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan UniversityWuhan UniversityWuhan430071P. R. China
| | - Zhi Liu
- Department of Biotechnology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074P. R. China
| | - Peer Bork
- European Molecular Biology LaboratoryStructural and Computational Biology Unit69117HeidelbergGermany
- Max Delbrück Centre for Molecular Medicine13125BerlinGermany
- Yonsei Frontier Lab (YFL)Yonsei UniversitySeoul03722South Korea
- Department of Bioinformatics, BiocenterUniversity of Würzburg97070WürzburgGermany
| | - Xing‐Ming Zhao
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghai200433P. R. China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence and MOE Frontiers Center for Brain ScienceFudan UniversityShanghai200433P. R. China
- State Key Laboratory of Medical Neurobiology, Institute of Brain ScienceFudan UniversityShanghai200433P. R. China
- Department of Neurology, Zhongshan HospitalFudan UniversityShanghai200032P. R. China
- International Human Phenome Institutes (Shanghai)Shanghai200433P. R. China
| | - Wei‐Hua Chen
- Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei430074P. R. China
- College of Life ScienceHenan Normal UniversityXinxiangHenan453007P. R. China
- Institution of Medical Artificial IntelligenceBinzhou Medical UniversityYantai264003P. R. China
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7
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Albright S, Louca S. Trait biases in microbial reference genomes. Sci Data 2023; 10:84. [PMID: 36759614 PMCID: PMC9911409 DOI: 10.1038/s41597-023-01994-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 01/31/2023] [Indexed: 02/11/2023] Open
Abstract
Common culturing techniques and priorities bias our discovery towards specific traits that may not be representative of microbial diversity in nature. So far, these biases have not been systematically examined. To address this gap, here we use 116,884 publicly available metagenome-assembled genomes (MAGs, completeness ≥80%) from 203 surveys worldwide as a culture-independent sample of bacterial and archaeal diversity, and compare these MAGs to the popular RefSeq genome database, which heavily relies on cultures. We compare the distribution of 12,454 KEGG gene orthologs (used as trait proxies) in the MAGs and RefSeq genomes, while controlling for environment type (ocean, soil, lake, bioreactor, human, and other animals). Using statistical modeling, we then determine the conditional probabilities that a species is represented in RefSeq depending on its genetic repertoire. We find that the majority of examined genes are significantly biased for or against in RefSeq. Our systematic estimates of gene prevalences across bacteria and archaea in nature and gene-specific biases in reference genomes constitutes a resource for addressing these issues in the future.
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Affiliation(s)
- Sage Albright
- Department of Biology, University of Oregon, Eugene, USA
| | - Stilianos Louca
- Department of Biology, University of Oregon, Eugene, USA. .,Institute of Ecology and Evolution, University of Oregon, Eugene, USA.
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