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Dantas CWD, Martins DT, Nogueira WG, Alegria OVC, Ramos RTJ. Tools and methodology to in silico phage discovery in freshwater environments. Front Microbiol 2024; 15:1390726. [PMID: 38881659 PMCID: PMC11176557 DOI: 10.3389/fmicb.2024.1390726] [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: 02/23/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Freshwater availability is essential, and its maintenance has become an enormous challenge. Due to population growth and climate changes, freshwater sources are becoming scarce, imposing the need for strategies for its reuse. Currently, the constant discharge of waste into water bodies from human activities leads to the dissemination of pathogenic bacteria, negatively impacting water quality from the source to the infrastructure required for treatment, such as the accumulation of biofilms. Current water treatment methods cannot keep pace with bacterial evolution, which increasingly exhibits a profile of multidrug resistance to antibiotics. Furthermore, using more powerful disinfectants may affect the balance of aquatic ecosystems. Therefore, there is a need to explore sustainable ways to control the spreading of pathogenic bacteria. Bacteriophages can infect bacteria and archaea, hijacking their host machinery to favor their replication. They are widely abundant globally and provide a biological alternative to bacterial treatment with antibiotics. In contrast to common disinfectants and antibiotics, bacteriophages are highly specific, minimizing adverse effects on aquatic microbial communities and offering a lower cost-benefit ratio in production compared to antibiotics. However, due to the difficulty involving cultivating and identifying environmental bacteriophages, alternative approaches using NGS metagenomics in combination with some bioinformatic tools can help identify new bacteriophages that can be useful as an alternative treatment against resistant bacteria. In this review, we discuss advances in exploring the virome of freshwater, as well as current applications of bacteriophages in freshwater treatment, along with current challenges and future perspectives.
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Affiliation(s)
- Carlos Willian Dias Dantas
- Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Laboratory of Simulation and Computational Biology - SIMBIC, High Performance Computing Center - CCAD, Federal University of Pará, Belém, Pará, Brazil
- Laboratory of Bioinformatics and Genomics of Microorganisms, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil
| | - David Tavares Martins
- Laboratory of Simulation and Computational Biology - SIMBIC, High Performance Computing Center - CCAD, Federal University of Pará, Belém, Pará, Brazil
- Laboratory of Bioinformatics and Genomics of Microorganisms, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil
| | - Wylerson Guimarães Nogueira
- Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Oscar Victor Cardenas Alegria
- Laboratory of Simulation and Computational Biology - SIMBIC, High Performance Computing Center - CCAD, Federal University of Pará, Belém, Pará, Brazil
- Laboratory of Bioinformatics and Genomics of Microorganisms, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil
| | - Rommel Thiago Jucá Ramos
- Laboratory of Simulation and Computational Biology - SIMBIC, High Performance Computing Center - CCAD, Federal University of Pará, Belém, Pará, Brazil
- Laboratory of Bioinformatics and Genomics of Microorganisms, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil
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Hegarty B, Riddell V J, Bastien E, Langenfeld K, Lindback M, Saini JS, Wing A, Zhang J, Duhaime M. Benchmarking informatics approaches for virus discovery: caution is needed when combining in silico identification methods. mSystems 2024; 9:e0110523. [PMID: 38376167 PMCID: PMC10949488 DOI: 10.1128/msystems.01105-23] [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: 10/26/2023] [Accepted: 01/24/2024] [Indexed: 02/21/2024] Open
Abstract
Understanding the ecological impacts of viruses on natural and engineered ecosystems relies on the accurate identification of viral sequences from community sequencing data. To maximize viral recovery from metagenomes, researchers frequently combine viral identification tools. However, the effectiveness of this strategy is unknown. Here, we benchmarked combinations of six widely used informatics tools for viral identification and analysis (VirSorter, VirSorter2, VIBRANT, DeepVirFinder, CheckV, and Kaiju), called "rulesets." Rulesets were tested against mock metagenomes composed of taxonomically diverse sequence types and diverse aquatic metagenomes to assess the effects of the degree of viral enrichment and habitat on tool performance. We found that six rulesets achieved equivalent accuracy [Matthews Correlation Coefficient (MCC) = 0.77, Padj ≥ 0.05]. Each contained VirSorter2, and five used our "tuning removal" rule designed to remove non-viral contamination. While DeepVirFinder, VIBRANT, and VirSorter were each found once in these high-accuracy rulesets, they were not found in combination with each other: combining tools does not lead to optimal performance. Our validation suggests that the MCC plateau at 0.77 is partly caused by inaccurate labeling within reference sequence databases. In aquatic metagenomes, our highest MCC ruleset identified more viral sequences in virus-enriched (44%-46%) than in cellular metagenomes (7%-19%). While improved algorithms may lead to more accurate viral identification tools, this should be done in tandem with careful curation of sequence databases. We recommend using the VirSorter2 ruleset and our empirically derived tuning removal rule. Our analysis provides insight into methods for in silico viral identification and will enable more robust viral identification from metagenomic data sets. IMPORTANCE The identification of viruses from environmental metagenomes using informatics tools has offered critical insights in microbial ecology. However, it remains difficult for researchers to know which tools optimize viral recovery for their specific study. In an attempt to recover more viruses, studies are increasingly combining the outputs from multiple tools without validating this approach. After benchmarking combinations of six viral identification tools against mock metagenomes and environmental samples, we found that these tools should only be combined cautiously. Two to four tool combinations maximized viral recovery and minimized non-viral contamination compared with either the single-tool or the five- to six-tool ones. By providing a rigorous overview of the behavior of in silico viral identification strategies and a pipeline to replicate our process, our findings guide the use of existing viral identification tools and offer a blueprint for feature engineering of new tools that will lead to higher-confidence viral discovery in microbiome studies.
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Affiliation(s)
- Bridget Hegarty
- Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - James Riddell V
- Department of Microbiology, The Ohio State University, Columbus, Ohio, USA
| | - Eric Bastien
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kathryn Langenfeld
- Department of Civil and Environmental Engineering, Stanford University, Palo Alto, California, USA
| | - Morgan Lindback
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jaspreet S. Saini
- Laboratory for Environmental Biotechnology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Anthony Wing
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jessica Zhang
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Melissa Duhaime
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA
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Putzeys L, Wicke L, Brandão A, Boon M, Pires DP, Azeredo J, Vogel J, Lavigne R, Gerovac M. Exploring the transcriptional landscape of phage-host interactions using novel high-throughput approaches. Curr Opin Microbiol 2024; 77:102419. [PMID: 38271748 PMCID: PMC10884466 DOI: 10.1016/j.mib.2023.102419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/08/2023] [Accepted: 12/14/2023] [Indexed: 01/27/2024]
Abstract
In the last decade, powerful high-throughput sequencing approaches have emerged to analyse microbial transcriptomes at a global scale. However, to date, applications of these approaches to microbial viruses such as phages remain scarce. Tailoring these techniques to virus-infected bacteria promises to obtain a detailed picture of the underexplored RNA biology and molecular processes during infection. In addition, transcriptome study of stress and perturbations induced by phages in their infected bacterial hosts is likely to reveal new fundamental mechanisms of bacterial metabolism and gene regulation. Here, we provide references and blueprints to implement emerging transcriptomic approaches towards addressing transcriptome architecture, RNA-RNA and RNA-protein interactions, RNA modifications, structures and heterogeneity of transcription profiles in infected cells that will provide guides for future directions in phage-centric therapeutic applications and microbial synthetic biology.
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Affiliation(s)
- Leena Putzeys
- Department of Biosystems, Laboratory of Gene Technology, KU Leuven, Leuven, Belgium
| | - Laura Wicke
- Department of Biosystems, Laboratory of Gene Technology, KU Leuven, Leuven, Belgium; Institute for Molecular Infection Biology (IMIB), Medical Faculty, University of Würzburg, Würzburg, Germany
| | - Ana Brandão
- Centre of Biological Engineering, University of Minho, Braga, Portugal
| | - Maarten Boon
- Department of Biosystems, Laboratory of Gene Technology, KU Leuven, Leuven, Belgium
| | - Diana P Pires
- Centre of Biological Engineering, University of Minho, Braga, Portugal
| | - Joana Azeredo
- Centre of Biological Engineering, University of Minho, Braga, Portugal
| | - Jörg Vogel
- Institute for Molecular Infection Biology (IMIB), Medical Faculty, University of Würzburg, Würzburg, Germany; Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany
| | - Rob Lavigne
- Department of Biosystems, Laboratory of Gene Technology, KU Leuven, Leuven, Belgium
| | - Milan Gerovac
- Institute for Molecular Infection Biology (IMIB), Medical Faculty, University of Würzburg, Würzburg, Germany; Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
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4
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Zhang H, Zhang H, Du H, Yu X, Xu Y. The insights into the phage communities of fermented foods in the age of viral metagenomics. Crit Rev Food Sci Nutr 2024:1-13. [PMID: 38214674 DOI: 10.1080/10408398.2023.2299323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Phages play a critical role in the assembly and regulation of fermented food microbiome through lysis and lysogenic lifestyle, which in turn affects the yield and quality of fermented foods. Therefore, it is important to investigate and characterize the diversity and function of phages under complex microbial communities and nutrient substrate conditions to provide novel insights into the regulation of traditional spontaneous fermentation. Viral metagenomics has gradually garnered increasing attention in fermented food research to elucidate phage functions and characterize the interactions between phages and the microbial community. Advances in this technology have uncovered a wide range of phages associated with the production of traditional fermented foods and beverages. This paper reviews the common methods of viral metagenomics applied in fermented food research, and summarizes the ecological functions of phages in traditional fermented foods. In the future, combining viral metagenomics with culturable methods and metagenomics will broaden the scope of research on fermented food systems, revealing the complex role of phages and intricate phage-bacterium interactions.
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Affiliation(s)
- Huadong Zhang
- Laboratory of Brewing Microbiology and Applied Enzymology, The Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Hongxia Zhang
- College of Life Sciences, Shanxi Normal University, Taiyuan, Shanxi, China
| | - Hai Du
- Laboratory of Brewing Microbiology and Applied Enzymology, The Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiaowei Yu
- Laboratory of Brewing Microbiology and Applied Enzymology, The Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
| | - Yan Xu
- Laboratory of Brewing Microbiology and Applied Enzymology, The Key Laboratory of Industrial Biotechnology, Ministry of Education, State Key Laboratory of Food Science and Technology, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China
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5
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Piña-González AM, Castelán-Sánchez HG, Hurtado-Ramírez JM, López-Leal G. Campylobacter prophage diversity reveals pervasive recombination between prophages from different Campylobacter species. Microbiol Spectr 2024; 12:e0279523. [PMID: 38088548 PMCID: PMC10782988 DOI: 10.1128/spectrum.02795-23] [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] [Received: 07/07/2023] [Accepted: 11/12/2023] [Indexed: 01/13/2024] Open
Abstract
IMPORTANCE Prophages play an important role in shaping the genetic diversity and evolution of their hosts. Acquisition or loss of prophages can lead to genomic variations, including changes in the bacterial phenotype promoted by recombination events, genetic repertoire exchanges and dissemination of virulence factors, and antibiotic resistance. By studying prophages in Campylobacter species, scientists can gain insights into the evolutionary patterns, pathogenicity mechanisms, epidemiology, and population dynamics of these species. This has implications for public health, antibiotic resistance surveillance, and the development of targeted therapeutic approaches.
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Affiliation(s)
- Adán Manuel Piña-González
- Laboratorio de Biología Computacional y Virómica Integrativa, Centro de Investigación en Dinámica Celular, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
| | - Hugo G. Castelán-Sánchez
- Grupo de Genómica y Dinámica Evolutiva de Microorganismos Emergentes, Consejo Nacional de Humanidades, Ciudad de México, México
| | | | - Gamaliel López-Leal
- Laboratorio de Biología Computacional y Virómica Integrativa, Centro de Investigación en Dinámica Celular, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
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Moon K, Cho JC. Freshwater Viral Metagenome Analyses Targeting dsDNA Viruses. Methods Mol Biol 2024; 2732:29-44. [PMID: 38060116 DOI: 10.1007/978-1-0716-3515-5_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Viral metagenomics is one of the most widely used approaches to study viral population genomics. With the recent development of bioinformatic tools, the number of molecular biological methods, programs, and software to analyze viral metagenome data have greatly increased. Here, we describe the basic analysis workflow along with bioinformatic tools that can be used to analyze viral metagenome data. Although this chapter assumes that the viral metagenome data are prepared from the freshwater samples and are subjected to dsDNA sequencing, the protocol can be applied and modified for other types of metagenome data collected from a variety of sources.
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Affiliation(s)
- Kira Moon
- Division of Environmental Materials, Honam National Institute of Biological Resources, Mokpo, Republic of Korea
| | - Jang-Cheon Cho
- Department of Biological Sciences and Bioengineering, Inha University, Incheon, Republic of Korea.
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Wang D, Shang J, Lin H, Liang J, Wang C, Sun Y, Bai Y, Qu J. Identifying ARG-carrying bacteriophages in a lake replenished by reclaimed water using deep learning techniques. WATER RESEARCH 2024; 248:120859. [PMID: 37976954 DOI: 10.1016/j.watres.2023.120859] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/16/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
As important mobile genetic elements, phages support the spread of antibiotic resistance genes (ARGs). Previous analyses of metaviromes or metagenome-assembled genomes (MAGs) failed to assess the extent of ARGs transferred by phages, particularly in the generation of antibiotic pathogens. Therefore, we have developed a bioinformatic pipeline that utilizes deep learning techniques to identify ARG-carrying phages and predict their hosts, with a special focus on pathogens. Using this method, we discovered that the predominant types of ARGs carried by temperate phages in a typical landscape lake, which is fully replenished by reclaimed water, were related to multidrug resistance and β-lactam antibiotics. MAGs containing virulent factors (VFs) were predicted to serve as hosts for these ARG-carrying phages, which suggests that the phages may have the potential to transfer ARGs. In silico analysis showed a significant positive correlation between temperate phages and host pathogens (R = 0.503, p < 0.001), which was later confirmed by qPCR. Interestingly, these MAGs were found to be more abundant than those containing both ARGs and VFs, especially in December and March. Seasonal variations were observed in the abundance of phages harboring ARGs (from 5.62 % to 21.02 %) and chromosomes harboring ARGs (from 18.01 % to 30.94 %). In contrast, the abundance of plasmids harboring ARGs remained unchanged. In summary, this study leverages deep learning to analyze phage-transferred ARGs and demonstrates an alternative method to track the production of potential antibiotic-resistant pathogens by metagenomics that can be extended to microbiological risk assessment.
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Affiliation(s)
- Donglin Wang
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jiayu Shang
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Hui Lin
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jinsong Liang
- School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Chenchen Wang
- School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China; Tianjin Key Laboratory of Aquatic Science and Technology, Tianjin Chengjian University, Tianjin 300384, China
| | - Yanni Sun
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
| | - Yaohui Bai
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Jiuhui Qu
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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Jin Z, Sato Y, Kawashima M, Kanehisa M. KEGG tools for classification and analysis of viral proteins. Protein Sci 2023; 32:e4820. [PMID: 37881892 PMCID: PMC10661063 DOI: 10.1002/pro.4820] [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: 07/31/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 10/27/2023]
Abstract
The KEGG database and analysis tools (https://www.kegg.jp) have been developed mostly for understanding genes and genomes of cellular organisms. The KO (KEGG Orthology) dataset, which is a collection of functional orthologs, plays the role of linking genes in the genome to pathways and other molecular networks, enabling KEGG mapping to uncover hidden features in the genome. Although viruses were part of KEGG for some time, they were not fully integrated in the KEGG analysis tools, because the KO assignment rate is very low for virus genes. To supplement KOs a new dataset named virus ortholog clusters (VOCs) is computationally generated, covering 90% of viral proteins in KEGG. VOCs can be used, in place of KOs, for taxonomy mapping to uncover relationships of sequence similarity groups and taxonomic groups and for identifying conserved gene orders in virus genomes. Furthermore, selected VOCs are used to define tentative KOs for characterizing protein functions. Here an overview of KEGG tools is presented focusing on these extensions for viral protein analysis.
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Affiliation(s)
- Zhao Jin
- Institute for Chemical Research, Kyoto UniversityUjiKyotoJapan
- Pathway Solutions Inc.TokyoJapan
| | | | | | - Minoru Kanehisa
- Institute for Chemical Research, Kyoto UniversityUjiKyotoJapan
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Cai H, Zhou Y, Li X, Xu T, Ni Y, Wu S, Yu Y, Wang Y. Genomic Analysis and Taxonomic Characterization of Seven Bacteriophage Genomes Metagenomic-Assembled from the Dishui Lake. Viruses 2023; 15:2038. [PMID: 37896815 PMCID: PMC10611076 DOI: 10.3390/v15102038] [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] [Received: 09/13/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/29/2023] Open
Abstract
Viruses in aquatic ecosystems exhibit remarkable abundance and diversity. However, scattered studies have been conducted to mine uncultured viruses and identify them taxonomically in lake water. Here, whole genomes (29-173 kbp) of seven uncultured dsDNA bacteriophages were discovered in Dishui Lake, the largest artificial lake in Shanghai. We analyzed their genomic signatures and found a series of viral auxiliary metabolic genes closely associated with protein synthesis and host metabolism. Dishui Lake phages shared more genes with uncultivated environmental viruses than with reference viruses based on the gene-sharing network classification. Phylogeny of proteomes and comparative genomics delineated three new genera within two known viral families of Kyanoviridae and Autographiviridae, and four new families in Caudoviricetes for these seven novel phages. Their potential hosts appeared to be from the dominant bacterial phyla in Dishui Lake. Altogether, our study provides initial insights into the composition and diversity of bacteriophage communities in Dishui Lake, contributing valuable knowledge to the ongoing research on the roles played by viruses in freshwater ecosystems.
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Affiliation(s)
- Haoyun Cai
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Yifan Zhou
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Xiefei Li
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Tianqi Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Yimin Ni
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Shuang Wu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Yongxin Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (H.C.); (Y.Z.); (X.L.); (T.X.); (Y.N.); (S.W.); (Y.Y.)
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
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Džunková M, Moraru C, Anantharaman K. Editorial: Advances in viromics: new tools, challenges, and data towards characterizing human and environmental viromes. Front Microbiol 2023; 14:1290062. [PMID: 37822741 PMCID: PMC10562684 DOI: 10.3389/fmicb.2023.1290062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/14/2023] [Indexed: 10/13/2023] Open
Affiliation(s)
- Mária Džunková
- Institute for Integrative Systems Biology, University of Valencia and Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
| | - Cristina Moraru
- Environmental Metagenomics, Faculty of Chemistry, Research Center One Health Ruhr of the University Alliance Ruhr, University of Duisburg-Essen, Essen, Germany
| | - Karthik Anantharaman
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States
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Special Issue “Bacteriophage Genomics”: Editorial. Microorganisms 2023; 11:microorganisms11030693. [PMID: 36985265 PMCID: PMC10054338 DOI: 10.3390/microorganisms11030693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/12/2023] Open
Abstract
Virus genomics as a separate branch of biology has emerged relatively recently [...]
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Römling U. The power of unbiased phenotypic screens - cellulose as a first receptor for the Schitoviridae phage S6 of Erwinia amylovora. Environ Microbiol 2022; 24:3316-3321. [PMID: 35415924 PMCID: PMC9544554 DOI: 10.1111/1462-2920.16010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 11/30/2022]
Abstract
Bacteriophages, host‐dependent replicative non‐cellular entities which significantly shape the microbial genomes and consequently physiological and ecological properties of the microbial populations are exploited to restrict plant, animal and human pathogens. Unravelling of phage characteristics aids the understanding of the basic molecular mechanisms of phage infections which can subsequently lead to the development of rationalized strategies to combat microbial pathogens. In an unbiased screen to investigate the molecular basis of infectivity of the fire blight pathogen Erwinia amylovora by the lytic Schitoviridae phage S6, the biofilm extracellular matrix component cellulose has been identified as a cyclic di‐GMP dependent first receptor required for infection with the phage to possess beta‐1,4‐glucosidases to degrade the exopolysaccharide. This absolute receptor dependency allows maintenance of a phage‐microbe equilibrium with a low bacterial density.
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Affiliation(s)
- Ute Römling
- Department of Microbiology, Tumor and Cell Biology, Biomedicum, Karolinska Institutet, Stockholm, Sweden
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