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Aplakidou E, Vergoulidis N, Chasapi M, Venetsianou NK, Kokoli M, Panagiotopoulou E, Iliopoulos I, Karatzas E, Pafilis E, Georgakopoulos-Soares I, Kyrpides NC, Pavlopoulos GA, Baltoumas FA. Visualizing metagenomic and metatranscriptomic data: A comprehensive review. Comput Struct Biotechnol J 2024; 23:2011-2033. [PMID: 38765606 PMCID: PMC11101950 DOI: 10.1016/j.csbj.2024.04.060] [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: 01/27/2024] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/22/2024] Open
Abstract
The fields of Metagenomics and Metatranscriptomics involve the examination of complete nucleotide sequences, gene identification, and analysis of potential biological functions within diverse organisms or environmental samples. Despite the vast opportunities for discovery in metagenomics, the sheer volume and complexity of sequence data often present challenges in processing analysis and visualization. This article highlights the critical role of advanced visualization tools in enabling effective exploration, querying, and analysis of these complex datasets. Emphasizing the importance of accessibility, the article categorizes various visualizers based on their intended applications and highlights their utility in empowering bioinformaticians and non-bioinformaticians to interpret and derive insights from meta-omics data effectively.
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Affiliation(s)
- Eleni Aplakidou
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
- Department of Informatics and Telecommunications, Data Science and Information Technologies program, University of Athens, 15784 Athens, Greece
| | - Nikolaos Vergoulidis
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
| | - Maria Chasapi
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
- Department of Informatics and Telecommunications, Data Science and Information Technologies program, University of Athens, 15784 Athens, Greece
| | - Nefeli K. Venetsianou
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
| | - Maria Kokoli
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
| | - Eleni Panagiotopoulou
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
- Department of Informatics and Telecommunications, Data Science and Information Technologies program, University of Athens, 15784 Athens, Greece
| | - Ioannis Iliopoulos
- Department of Basic Sciences, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Evangelos Pafilis
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Heraklion, Greece
| | - Ilias Georgakopoulos-Soares
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Nikos C. Kyrpides
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Center of New Biotechnologies & Precision Medicine, Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Greece
- Hellenic Army Academy, 16673 Vari, Greece
| | - Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece
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Gao Y, Zhong Z, Zhang D, Zhang J, Li YX. Exploring the roles of ribosomal peptides in prokaryote-phage interactions through deep learning-enabled metagenome mining. MICROBIOME 2024; 12:94. [PMID: 38790030 PMCID: PMC11118758 DOI: 10.1186/s40168-024-01807-y] [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: 11/11/2023] [Accepted: 04/04/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Microbial secondary metabolites play a crucial role in the intricate interactions within the natural environment. Among these metabolites, ribosomally synthesized and post-translationally modified peptides (RiPPs) are becoming a promising source of therapeutic agents due to their structural diversity and functional versatility. However, their biosynthetic capacity and ecological functions remain largely underexplored. RESULTS Here, we aim to explore the biosynthetic profile of RiPPs and their potential roles in the interactions between microbes and viruses in the ocean, which encompasses a vast diversity of unique biomes that are rich in interactions and remains chemically underexplored. We first developed TrRiPP to identify RiPPs from ocean metagenomes, a deep learning method that detects RiPP precursors in a hallmark gene-independent manner to overcome the limitations of classic methods in processing highly fragmented metagenomic data. Applying this method to metagenomes from the global ocean microbiome, we uncover a diverse array of previously uncharacterized putative RiPP families with great novelty and diversity. Through correlation analysis based on metatranscriptomic data, we observed a high prevalence of antiphage defense-related and phage-related protein families that were co-expressed with RiPP families. Based on this putative association between RiPPs and phage infection, we constructed an Ocean Virus Database (OVD) and established a RiPP-involving host-phage interaction network through host prediction and co-expression analysis, revealing complex connectivities linking RiPP-encoding prokaryotes, RiPP families, viral protein families, and phages. These findings highlight the potential of RiPP families involved in prokaryote-phage interactions and coevolution, providing insights into their ecological functions in the ocean microbiome. CONCLUSIONS This study provides a systematic investigation of the biosynthetic potential of RiPPs from the ocean microbiome at a global scale, shedding light on the essential insights into the ecological functions of RiPPs in prokaryote-phage interactions through the integration of deep learning approaches, metatranscriptomic data, and host-phage connectivity. This study serves as a valuable example of exploring the ecological functions of bacterial secondary metabolites, particularly their associations with unexplored microbial interactions. Video Abstract.
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Affiliation(s)
- Ying Gao
- CYM305, Department of Chemistry and The Swire Institute of Marine Science, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region, 999077, China
| | - Zheng Zhong
- CYM305, Department of Chemistry and The Swire Institute of Marine Science, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region, 999077, China
| | - Dengwei Zhang
- CYM305, Department of Chemistry and The Swire Institute of Marine Science, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region, 999077, China
| | - Jian Zhang
- CYM305, Department of Chemistry and The Swire Institute of Marine Science, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region, 999077, China
| | - Yong-Xin Li
- CYM305, Department of Chemistry and The Swire Institute of Marine Science, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region, 999077, China.
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3
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Kang Y, Wang J, Wang Y, Li Z. Profiles of phage in global hospital wastewater: Association with microbial hosts, antibiotic resistance genes, metal resistance genes, and mobile genetic elements. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171766. [PMID: 38513871 DOI: 10.1016/j.scitotenv.2024.171766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/28/2024] [Accepted: 03/15/2024] [Indexed: 03/23/2024]
Abstract
Hospital wastewater (HWW) is known to host taxonomically diverse microbial communities, yet limited information is available on the phages infecting these microorganisms. To fill this knowledge gap, we conducted an in-depth analysis using 377 publicly available HWW metagenomic datasets from 16 countries across 4 continents in the NCBI SRA database to elucidate phage-host dynamics and phage contributions to resistance gene transmission. We first assembled a metagenomic HWW phage catalog comprising 13,812 phage operational taxonomic units (pOTUs). The majority of these pOTUs belonged to the Caudoviricetes order, representing 75.29 % of this catalog. Based on the lifestyle of phages, we found that potentially virulent phages predominated in HWW. Specifically, 583 pOTUs have been predicted to have the capability to lyse 81 potentially pathogenic bacteria, suggesting the promising role of HWW phages as a viable alternative to antibiotics. Among all pOTUs, 1.56 % of pOTUs carry 108 subtypes of antibiotic resistance genes (ARGs), 0.96 % of pOTUs carry 76 subtypes of metal resistance genes (MRGs), and 0.96 % of pOTUs carry 22 subtypes of non-phage mobile genetic elements (MGEs). Predictions indicate that certain phages carrying ARGs, MRGs, and non-phage MGEs could infect bacteria hosts, even potential pathogens. This suggests that phages in HWW may contribute to the dissemination of resistance-associated genes in the environment. This meta-analysis provides the first global catalog of HWW phages, revealing their correlations with microbial hosts and pahge-associated ARGs, MRG, and non-phage MGEs. The insights gained from this research hold promise for advancing the applications of phages in medical and industrial contexts.
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Affiliation(s)
- Yutong Kang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102200, China
| | - Jie Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Yuan Wang
- North China University of Science and Technology, Basic Medical College, Tangshan, Hebei 063210, P.R. China
| | - Zhenjun Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102200, China.
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4
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Irby I, Broddrick JT. Microbial adaptation to spaceflight is correlated with bacteriophage-encoded functions. Nat Commun 2024; 15:3474. [PMID: 38750067 PMCID: PMC11096397 DOI: 10.1038/s41467-023-42104-w] [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: 02/25/2023] [Accepted: 09/27/2023] [Indexed: 05/18/2024] Open
Abstract
Evidence from the International Space Station suggests microbial populations are rapidly adapting to the spacecraft environment; however, the mechanism of this adaptation is not understood. Bacteriophages are prolific mediators of bacterial adaptation on Earth. Here we survey 245 genomes sequenced from bacterial strains isolated on the International Space Station for dormant (lysogenic) bacteriophages. Our analysis indicates phage-associated genes are significantly different between spaceflight strains and their terrestrial counterparts. In addition, we identify 283 complete prophages, those that could initiate bacterial lysis and infect additional hosts, of which 21% are novel. These prophage regions encode functions that correlate with increased persistence in extreme environments, such as spaceflight, to include antimicrobial resistance and virulence, DNA damage repair, and dormancy. Our results correlate microbial adaptation in spaceflight to bacteriophage-encoded functions that may impact human health in spaceflight.
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Affiliation(s)
- Iris Irby
- Space Biosciences Research Branch, NASA Ames Research Center, Moffett Field, CA, USA
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Jared T Broddrick
- Space Biosciences Research Branch, NASA Ames Research Center, Moffett Field, CA, USA.
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5
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Ma J, Qian C, Hu Q, Zhang J, Gu G, Liang X, Zhang L. The bacteriome-coupled phage communities continuously contract and shift to orchestrate the traditional rice vinegar fermentation. Food Res Int 2024; 184:114244. [PMID: 38609223 DOI: 10.1016/j.foodres.2024.114244] [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: 10/17/2023] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 04/14/2024]
Abstract
Amounts of microbiome studies have uncovered the microbial communities of traditional food fermentations, while in which the phageome development with time is poorly understood. Here, we conducted a study to decipher both phageome and bacteriome of the traditional rice vinegar fermentation. The vinegar phageomes showed significant differences in the alpha diversity, network density and clustering coefficient over time. Peduoviridae had the highest relative abundance. Moreover, the phageome negatively correlated to the cognate bacteriome in alpha diversity, and undergone constantly contracting and shifting across the temporal scale. Nevertheless, 257 core virial clusters (VCs) persistently occurred with time whatever the significant impacts imposed by the varied physiochemical properties. Glycoside hydrolase (GH) and glycosyltransferase (GT) families genes displayed the higher abundances across all samples. Intriguingly, diversely structuring of toxin-antitoxin systems (TAs) and CRISPR-Cas arrays were frequently harbored by phage genomes. Their divergent organization and encoding attributes underlie the multiple biological roles in modulation of network and/or contest of phage community as well as bacterial host community. This phageome-wide mapping will fuel the current insights of phage community ecology in other traditional fermented ecosystems that are challenging to decipher.
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Affiliation(s)
- Jiawen Ma
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang Province 310018, China
| | - Chenggong Qian
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang Province 310018, China
| | - Qijie Hu
- Huzhou Institute of Food and Drug Control, Huzhou, Zhejiang Province 313002, China
| | - Jianping Zhang
- Haining Yufeng Brewing Co., Ltd, Haining, Zhejiang Province 314408, China
| | - Guizhang Gu
- Huzhou Institute of Food and Drug Control, Huzhou, Zhejiang Province 313002, China
| | - Xinle Liang
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang Province 310018, China.
| | - Lei Zhang
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang Province 310018, China.
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6
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Chitboonthavisuk C, Martin C, Huss P, Peters JM, Anantharaman K, Raman S. Systematic genome-wide discovery of host factors governing bacteriophage infectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.20.590424. [PMID: 38659955 PMCID: PMC11042327 DOI: 10.1101/2024.04.20.590424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Bacterial host factors regulate the infection cycle of bacteriophages. Except for some well-studied host factors (e.g., receptors or restriction-modification systems), the contribution of the rest of the host genome on phage infection remains poorly understood. We developed PHAGEPACK, a pooled assay that systematically and comprehensively measures each host-gene impact on phage fitness. PHAGEPACK combines CRISPR interference with phage packaging to link host perturbation to phage fitness during active infection. Using PHAGEPACK, we constructed a genome-wide map of genes impacting T7 phage fitness in permissive E. coli, revealing pathways previously unknown to affect phage packaging. When applied to the non-permissive E. coli O121, PHAGEPACK identified pathways leading to host resistance; their removal increased phage susceptibility up to a billion-fold. Bioinformatic analysis indicates phage genomes carry homologs or truncations of key host factors, potentially for fitness advantage. In summary, PHAGEPACK offers valuable insights into phage-host interactions, phage evolution, and bacterial resistance.
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7
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Luo R, Guan A, Ma B, Gao Y, Peng Y, He Y, Xu Q, Li K, Zhong Y, Luo R, Cao R, Jin H, Lin Y, Shang P. Developmental Dynamics of the Gut Virome in Tibetan Pigs at High Altitude: A Metagenomic Perspective across Age Groups. Viruses 2024; 16:606. [PMID: 38675947 PMCID: PMC11054254 DOI: 10.3390/v16040606] [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: 03/01/2024] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Tibetan pig is a geographically isolated pig breed that inhabits high-altitude areas of the Qinghai-Tibetan plateau. At present, there is limited research on viral diseases in Tibetan pigs. This study provides a novel metagenomic exploration of the gut virome in Tibetan pigs (altitude ≈ 3000 m) across three critical developmental stages, including lactation, nursery, and fattening. The composition of viral communities in the Tibetan pig intestine, with a dominant presence of Microviridae phages observed across all stages of development, in combination with the previous literature, suggest that it may be associated with geographical locations with high altitude. Functional annotation of viral operational taxonomic units (vOTUs) highlights that, among the constantly increasing vOTUs groups, the adaptability of viruses to environmental stressors such as salt and heat indicates an evolutionary response to high-altitude conditions. It shows that the lactation group has more abundant viral auxiliary metabolic genes (vAMGs) than the nursery and fattening groups. During the nursery and fattening stages, this leaves only DNMT1 at a high level. which may be a contributing factor in promoting gut health. The study found that viruses preferentially adopt lytic lifestyles at all three developmental stages. These findings not only elucidate the dynamic interplay between the gut virome and host development, offering novel insights into the virome ecology of Tibetan pigs and their adaptation to high-altitude environments, but also provide a theoretical basis for further studies on pig production and epidemic prevention under extreme environmental conditions.
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Affiliation(s)
- Runbo Luo
- College of Animal Science, Tibet Agricultural and Animal Husbandry University, Linzhi 860000, China; (R.L.); (K.L.); (Y.Z.)
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China;
| | - Aohan Guan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Bin Ma
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Yuan Gao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Yuna Peng
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Yanling He
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Qianshuai Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Kexin Li
- College of Animal Science, Tibet Agricultural and Animal Husbandry University, Linzhi 860000, China; (R.L.); (K.L.); (Y.Z.)
| | - Yanan Zhong
- College of Animal Science, Tibet Agricultural and Animal Husbandry University, Linzhi 860000, China; (R.L.); (K.L.); (Y.Z.)
| | - Rui Luo
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Ruibing Cao
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China;
| | - Hui Jin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430000, China; (A.G.); (B.M.); (Y.G.); (Y.P.); (Y.H.); (Q.X.); (R.L.); (H.J.)
- College of Animal Medicine, Huazhong Agricultural University, Wuhan 430000, China
| | - Yan Lin
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Peng Shang
- College of Animal Science, Tibet Agricultural and Animal Husbandry University, Linzhi 860000, China; (R.L.); (K.L.); (Y.Z.)
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8
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Quinones-Olvera N, Owen SV, McCully LM, Marin MG, Rand EA, Fan AC, Martins Dosumu OJ, Paul K, Sanchez Castaño CE, Petherbridge R, Paull JS, Baym M. Diverse and abundant phages exploit conjugative plasmids. Nat Commun 2024; 15:3197. [PMID: 38609370 PMCID: PMC11015023 DOI: 10.1038/s41467-024-47416-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: 01/04/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Phages exert profound evolutionary pressure on bacteria by interacting with receptors on the cell surface to initiate infection. While the majority of phages use chromosomally encoded cell surface structures as receptors, plasmid-dependent phages exploit plasmid-encoded conjugation proteins, making their host range dependent on horizontal transfer of the plasmid. Despite their unique biology and biotechnological significance, only a small number of plasmid-dependent phages have been characterized. Here we systematically search for new plasmid-dependent phages targeting IncP and IncF plasmids using a targeted discovery platform, and find that they are common and abundant in wastewater, and largely unexplored in terms of their genetic diversity. Plasmid-dependent phages are enriched in non-canonical types of phages, and all but one of the 65 phages we isolated were non-tailed, and members of the lipid-containing tectiviruses, ssDNA filamentous phages or ssRNA phages. We show that plasmid-dependent tectiviruses exhibit profound differences in their host range which is associated with variation in the phage holin protein. Despite their relatively high abundance in wastewater, plasmid-dependent tectiviruses are missed by metaviromic analyses, underscoring the continued importance of culture-based phage discovery. Finally, we identify a tailed phage dependent on the IncF plasmid, and find related structural genes in phages that use the orthogonal type 4 pilus as a receptor, highlighting the evolutionarily promiscuous use of these distinct contractile structures by multiple groups of phages. Taken together, these results indicate plasmid-dependent phages play an under-appreciated evolutionary role in constraining horizontal gene transfer via conjugative plasmids.
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Affiliation(s)
- Natalia Quinones-Olvera
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Siân V Owen
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA.
| | - Lucy M McCully
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Maximillian G Marin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Eleanor A Rand
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Alice C Fan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
- Boston University, Boston, MA, 02215, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Oluremi J Martins Dosumu
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Kay Paul
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Cleotilde E Sanchez Castaño
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Rachel Petherbridge
- Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Jillian S Paull
- Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michael Baym
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Microbiology, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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9
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Felipe Benites L, Stephens TG, Van Etten J, James T, Christian WC, Barry K, Grigoriev IV, McDermott TR, Bhattacharya D. Hot springs viruses at Yellowstone National Park have ancient origins and are adapted to thermophilic hosts. Commun Biol 2024; 7:312. [PMID: 38594478 PMCID: PMC11003980 DOI: 10.1038/s42003-024-05931-1] [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: 11/15/2023] [Accepted: 02/16/2024] [Indexed: 04/11/2024] Open
Abstract
Geothermal springs house unicellular red algae in the class Cyanidiophyceae that dominate the microbial biomass at these sites. Little is known about host-virus interactions in these environments. We analyzed the virus community associated with red algal mats in three neighboring habitats (creek, endolithic, soil) at Lemonade Creek, Yellowstone National Park (YNP), USA. We find that despite proximity, each habitat houses a unique collection of viruses, with the giant viruses, Megaviricetes, dominant in all three. The early branching phylogenetic position of genes encoded on metagenome assembled virus genomes (vMAGs) suggests that the YNP lineages are of ancient origin and not due to multiple invasions from mesophilic habitats. The existence of genomic footprints of adaptation to thermophily in the vMAGs is consistent with this idea. The Cyanidiophyceae at geothermal sites originated ca. 1.5 Bya and are therefore relevant to understanding biotic interactions on the early Earth.
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Affiliation(s)
- L Felipe Benites
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA
| | - Timothy G Stephens
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA
| | - Julia Van Etten
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA
- Graduate Program in Ecology and Evolution, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA
| | - Timeeka James
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA
| | - William C Christian
- Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, USA
| | - Kerrie Barry
- U.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Igor V Grigoriev
- U.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
- Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Timothy R McDermott
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, USA
| | - Debashish Bhattacharya
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08901, USA.
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10
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Flores VS, Amgarten DE, Iha BKV, Ryon KA, Danko D, Tierney BT, Mason C, da Silva AM, Setubal JC. Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium. Sci Rep 2024; 14:7913. [PMID: 38575625 PMCID: PMC10994904 DOI: 10.1038/s41598-024-58226-0] [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: 06/08/2023] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
Bacteriophages are recognized as the most abundant members of microbiomes and have therefore a profound impact on microbial communities through the interactions with their bacterial hosts. The International Metagenomics and Metadesign of Subways and Urban Biomes Consortium (MetaSUB) has sampled mass-transit systems in 60 cities over 3 years using metagenomics, throwing light into these hitherto largely unexplored urban environments. MetaSUB focused primarily on the bacterial community. In this work, we explored MetaSUB metagenomic data in order to recover and analyze bacteriophage genomes. We recovered and analyzed 1714 phage genomes with size at least 40 kbp, from the class Caudoviricetes, the vast majority of which (80%) are novel. The recovered genomes were predicted to belong to temperate (69%) and lytic (31%) phages. Thirty-three of these genomes have more than 200 kbp, and one of them reaches 572 kbp, placing it among the largest phage genomes ever found. In general, the phages tended to be site-specific or nearly so, but 194 genomes could be identified in every city from which phage genomes were retrieved. We predicted hosts for 48% of the phages and observed general agreement between phage abundance and the respective bacterial host abundance, which include the most common nosocomial multidrug-resistant pathogens. A small fraction of the phage genomes are carriers of antibiotic resistance genes, and such genomes tended to be particularly abundant in the sites where they were found. We also detected CRISPR-Cas systems in five phage genomes. This study expands the previously reported MetaSUB results and is a contribution to the knowledge about phage diversity, global distribution, and phage genome content.
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Affiliation(s)
- Vinicius S Flores
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, 05508-000, Brazil
| | - Deyvid E Amgarten
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, 05508-000, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Bruno Koshin Vázquez Iha
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, 05508-000, Brazil
| | | | | | - Braden T Tierney
- Weill Cornell Medicine, New York, NY, USA
- Harvard Medical School, Cambridge, MA, USA
| | | | - Aline Maria da Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, 05508-000, Brazil.
| | - João Carlos Setubal
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, 05508-000, Brazil.
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11
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Pudžiuvelytė I, Olechnovič K, Godliauskaite E, Sermokas K, Urbaitis T, Gasiunas G, Kazlauskas D. TemStaPro: protein thermostability prediction using sequence representations from protein language models. Bioinformatics 2024; 40:btae157. [PMID: 38507682 PMCID: PMC11001493 DOI: 10.1093/bioinformatics/btae157] [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: 07/31/2023] [Revised: 02/28/2024] [Accepted: 03/18/2024] [Indexed: 03/22/2024] Open
Abstract
MOTIVATION Reliable prediction of protein thermostability from its sequence is valuable for both academic and industrial research. This prediction problem can be tackled using machine learning and by taking advantage of the recent blossoming of deep learning methods for sequence analysis. These methods can facilitate training on more data and, possibly, enable the development of more versatile thermostability predictors for multiple ranges of temperatures. RESULTS We applied the principle of transfer learning to predict protein thermostability using embeddings generated by protein language models (pLMs) from an input protein sequence. We used large pLMs that were pre-trained on hundreds of millions of known sequences. The embeddings from such models allowed us to efficiently train and validate a high-performing prediction method using over one million sequences that we collected from organisms with annotated growth temperatures. Our method, TemStaPro (Temperatures of Stability for Proteins), was used to predict thermostability of CRISPR-Cas Class II effector proteins (C2EPs). Predictions indicated sharp differences among groups of C2EPs in terms of thermostability and were largely in tune with previously published and our newly obtained experimental data. AVAILABILITY AND IMPLEMENTATION TemStaPro software and the related data are freely available from https://github.com/ievapudz/TemStaPro and https://doi.org/10.5281/zenodo.7743637.
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Affiliation(s)
- Ieva Pudžiuvelytė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania
- Institute of Computer Science, Faculty of Mathematics and Informatics, Vilnius University, LT-08303 Vilnius, Lithuania
| | - Kliment Olechnovič
- Institute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania
| | | | | | | | - Giedrius Gasiunas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania
- CasZyme, LT-10257 Vilnius, Lithuania
| | - Darius Kazlauskas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, LT-10257 Vilnius, Lithuania
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12
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Maestre-Carballa L, Navarro-López V, Martinez-Garcia M. City-scale monitoring of antibiotic resistance genes by digital PCR and metagenomics. ENVIRONMENTAL MICROBIOME 2024; 19:16. [PMID: 38491508 PMCID: PMC10943798 DOI: 10.1186/s40793-024-00557-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/22/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Anthropogenic activities significantly contribute to the dissemination of antibiotic resistance genes (ARGs), posing a substantial threat to humankind. The development of methods that allow robust ARG surveillance is a long-standing challenge. Here, we use city-scale monitoring of ARGs by using two of the most promising cutting-edge technologies, digital PCR (dPCR) and metagenomics. METHODS ARG hot-spots were sampled from the urban water and wastewater distribution systems. Metagenomics was used to provide a broad view of ARG relative abundance and richness in the prokaryotic and viral fractions. From the city-core ARGs in all samples, the worldwide dispersed sul2 and tetW conferring resistance to sulfonamide and tetracycline, respectively, were monitored by dPCR and metagenomics. RESULTS The largest relative overall ARG abundance and richness were detected in the hospital wastewater and the WWTP inlet (up to ≈6,000 ARGs/Gb metagenome) with a large fraction of unclassified resistant bacteria. The abundance of ARGs in DNA and RNA contigs classified as viruses was notably lower, demonstrating a reduction of up to three orders of magnitude compared to contigs associated to prokaryotes. By metagenomics and dPCR, a similar abundance tendency of sul2 and tetW was obtained, with higher abundances in hospital wastewater and WWTP input (≈125-225 ARGs/Gb metagenome). dPCR absolute abundances were between 6,000 and 18,600 copies per ng of sewage DNA (≈105-7 copies/mL) and 6.8 copies/mL in seawater near the WWTP discharging point. CONCLUSIONS dPCR was more sensitive and accurate, while metagenomics provided broader coverage of ARG detection. While desirable, a reliable correlation of dPCR absolute abundance units into metagenomic relative abundance units was not obtained here (r2 < 0.4) suggesting methodological factors that introduce variability. Evolutionary pressure does not significantly select the targeted ARGs in natural aquatic environments.
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Affiliation(s)
- Lucia Maestre-Carballa
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Carretera San Vicente del Raspeig, San Vicente del Raspeig, Alicante, 03690, Spain
- Instituto Multidisciplinar para el Estudio del Medio Ramon Margalef, University of Alicante, San Vicente del Raspeig, Alicante, 03690, Spain
| | - Vicente Navarro-López
- Clinical Microbiology and Infectious Disease Unit, Hospital Universitario Vinalopó, Elche, Spain
| | - Manuel Martinez-Garcia
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Carretera San Vicente del Raspeig, San Vicente del Raspeig, Alicante, 03690, Spain.
- Instituto Multidisciplinar para el Estudio del Medio Ramon Margalef, University of Alicante, San Vicente del Raspeig, Alicante, 03690, Spain.
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13
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Kridler MR, Viney IA, Custer JM, Schlottman B, Bartelme R, Carini P. Draft genome sequences of Arthrobacter sp. AZCC_0090 and Mycobacterium sp. AZCC_0083 isolated from oligotrophic subsurface forest soil in the Santa Catalina mountains of Southern Arizona. Microbiol Resour Announc 2024; 13:e0108923. [PMID: 38376218 DOI: 10.1128/mra.01089-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/06/2024] [Indexed: 02/21/2024] Open
Abstract
Here, we present the genomes of two soil actinobacteria: Arthrobacter sp. strain AZCC_0090 and Mycobacterium sp. strain AZCC_0083, isolated from oligotrophic subsurface soils in Southern Arizona, USA.
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Affiliation(s)
- Melanie R Kridler
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Isabella A Viney
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Joy M Custer
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Bradley Schlottman
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Ryan Bartelme
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
| | - Paul Carini
- Department of Environmental Science, University of Arizona, Tucson, Arizona, USA
- BIO5 Institute, University of Arizona, Tucson, Arizona, USA
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14
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Figueroa III JL, Dhungel E, Bellanger M, Brouwer CR, White III RA. MetaCerberus: distributed highly parallelized HMM-based processing for robust functional annotation across the tree of life. Bioinformatics 2024; 40:btae119. [PMID: 38426351 PMCID: PMC10955254 DOI: 10.1093/bioinformatics/btae119] [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: 09/07/2023] [Revised: 01/22/2024] [Accepted: 02/27/2024] [Indexed: 03/02/2024] Open
Abstract
MOTIVATION MetaCerberus is a massively parallel, fast, low memory, scalable annotation tool for inference gene function across genomes to metacommunities. MetaCerberus provides an elusive HMM/HMMER-based tool at a rapid scale with low memory. It offers scalable gene elucidation to major public databases, including KEGG (KO), COGs, CAZy, FOAM, and specific databases for viruses, including VOGs and PHROGs, from single genomes to metacommunities. RESULTS MetaCerberus is 1.3× as fast on a single node than eggNOG-mapper v2 on 5× less memory using an exclusively HMM/HMMER mode. In a direct comparison, MetaCerberus provides better annotation of viruses, phages, and archaeal viruses than DRAM, Prokka, or InterProScan. MetaCerberus annotates more KOs across domains when compared to DRAM, with a 186× smaller database, and with 63× less memory. MetaCerberus is fully integrated for automatic analysis of statistics and pathways using differential statistic tools (i.e. DESeq2 and edgeR), pathway enrichment (GAGE R), and pathview R. MetaCerberus provides a novel tool for unlocking the biosphere across the tree of life at scale. AVAILABILITY AND IMPLEMENTATION MetaCerberus is written in Python and distributed under a BSD-3 license. The source code of MetaCerberus is freely available at https://github.com/raw-lab/metacerberus compatible with Python 3 and works on both Mac OS X and Linux. MetaCerberus can also be easily installed using bioconda: mamba create -n metacerberus -c bioconda -c conda-forge metacerberus.
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Affiliation(s)
- Jose L Figueroa III
- North Carolina Research Campus (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Eliza Dhungel
- North Carolina Research Campus (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
| | - Madeline Bellanger
- North Carolina Research Campus (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Cory R Brouwer
- North Carolina Research Campus (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
| | - Richard Allen White III
- North Carolina Research Campus (NCRC), Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
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15
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Ni Y, Chu T, Yan S, Wang Y. Forty-nine metagenomic-assembled genomes from an aquatic virome expand Caudoviricetes by 45 potential new families and the newly uncovered Gossevirus of Bamfordvirae. J Gen Virol 2024; 105. [PMID: 38446011 DOI: 10.1099/jgv.0.001967] [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: 03/07/2024] Open
Abstract
Twenty complete genomes (29-63 kb) and 29 genomes with an estimated completeness of over 90 % (30-90 kb) were identified for novel dsDNA viruses in the Yangshan Harbor metavirome. These newly discovered viruses contribute to the expansion of viral taxonomy by introducing 46 potential new families. Except for one virus, all others belong to the class Caudoviricetes. The exception is a novel member of the recently characterized viral group known as Gossevirus. Fifteen viruses were predicted to be temperate. The predicted hosts for the viruses appear to be involved in various aspects of the nitrogen cycle, including nitrogen fixation, oxidation and denitrification. Two viruses were identified to have a host of Flavobacterium and Tepidimonas fonticaldi, respectively, by matching CRISPR spacers with viral protospacers. Our findings provide an overview for characterizing and identifying specific viruses from Yangshan Harbor. The Gossevirus-like virus uncovered emphasizes the need for further comprehensive isolation and investigation of polinton-like viruses.
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Affiliation(s)
- Yimin Ni
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, PR China
| | - Ting Chu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, PR China
| | - Shuling Yan
- Entwicklungsgenetik und Zellbiologie der Tiere, Philipps-Universität Marburg, Marburg, Germany
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, PR China
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, PR China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, Shanghai, PR China
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16
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Zhong ZP, Du J, Köstlbacher S, Pjevac P, Orlić S, Sullivan MB. Viral potential to modulate microbial methane metabolism varies by habitat. Nat Commun 2024; 15:1857. [PMID: 38424049 PMCID: PMC10904782 DOI: 10.1038/s41467-024-46109-x] [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: 07/17/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
Methane is a potent greenhouse gas contributing to global warming. Microorganisms largely drive the biogeochemical cycling of methane, yet little is known about viral contributions to methane metabolism (MM). We analyzed 982 publicly available metagenomes from host-associated and environmental habitats containing microbial MM genes, expanding the known MM auxiliary metabolic genes (AMGs) from three to 24, including seven genes exclusive to MM pathways. These AMGs are recovered on 911 viral contigs predicted to infect 14 prokaryotic phyla including Halobacteriota, Methanobacteriota, and Thermoproteota. Of those 24, most were encoded by viruses from rumen (16/24), with substantially fewer by viruses from environmental habitats (0-7/24). To search for additional MM AMGs from an environmental habitat, we generate metagenomes from methane-rich sediments in Vrana Lake, Croatia. Therein, we find diverse viral communities, with most viruses predicted to infect methanogens and methanotrophs and some encoding 13 AMGs that can modulate host metabolisms. However, none of these AMGs directly participate in MM pathways. Together these findings suggest that the extent to which viruses use AMGs to modulate host metabolic processes (e.g., MM) varies depending on the ecological properties of the habitat in which they dwell and is not always predictable by habitat biogeochemical properties.
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Affiliation(s)
- Zhi-Ping Zhong
- Byrd Polar and Climate Research Center, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
| | - Jingjie Du
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Division of Nutritional Science, Cornell University, Ithaca, NY, USA
| | - Stephan Köstlbacher
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Doctoral School in Microbiology and Environmental Science, University of Vienna, Vienna, Austria
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, the Netherlands
| | - Petra Pjevac
- Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
- Joint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria
| | - Sandi Orlić
- Division of Materials Chemistry, Ruđer Bošković Institute, Zagreb, Croatia.
- Center of Excellence for Science and Technology-Integration of Mediterranean Region, Zagreb, Croatia.
| | - Matthew B Sullivan
- Byrd Polar and Climate Research Center, Ohio State University, Columbus, OH, USA.
- Department of Microbiology, Ohio State University, Columbus, OH, USA.
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA.
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA.
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17
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Bernabeu M, Cabello-Yeves E, Flores E, Samarra A, Kimberley Summers J, Marina A, Collado MC. Role of vertical and horizontal microbial transmission of antimicrobial resistance genes in early life: insights from maternal-infant dyads. Curr Opin Microbiol 2024; 77:102424. [PMID: 38237429 DOI: 10.1016/j.mib.2023.102424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 02/12/2024]
Abstract
Early life represents a critical window for metabolic, cognitive and immune system development, which is influenced by the maternal microbiome as well as the infant gut microbiome. Antibiotic exposure, mode of delivery and breastfeeding practices modulate the gut microbiome and the reservoir of antibiotic resistance genes (ARGs). Vertical and horizontal microbial gene transfer during early life and the mechanisms behind these transfers are being uncovered. In this review, we aim to provide an overview of the current knowledge on the transfer of antibiotic resistance in the mother-infant dyad through vertical and horizontal transmission and to highlight the main gaps and challenges in this area.
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Affiliation(s)
- Manuel Bernabeu
- Institute of Agrochemistry and Food Technology - National Research Council (IATA-CSIC), 46980 Valencia, Spain.
| | - Elena Cabello-Yeves
- Instituto de Biomedicina de Valencia-Consejo de Investigaciones Científicas (IBV-CSIC), CIBER de Enfermedades Raras (CIBERER), 46010 Valencia, Spain.
| | - Eduard Flores
- Institute of Agrochemistry and Food Technology - National Research Council (IATA-CSIC), 46980 Valencia, Spain
| | - Anna Samarra
- Institute of Agrochemistry and Food Technology - National Research Council (IATA-CSIC), 46980 Valencia, Spain
| | - Joanna Kimberley Summers
- Wellington Lab, School of Life Sciences, University of Warwick, CV4 7AL Coventry, United Kingdom
| | - Alberto Marina
- Instituto de Biomedicina de Valencia-Consejo de Investigaciones Científicas (IBV-CSIC), CIBER de Enfermedades Raras (CIBERER), 46010 Valencia, Spain
| | - M Carmen Collado
- Institute of Agrochemistry and Food Technology - National Research Council (IATA-CSIC), 46980 Valencia, Spain
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18
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Urayama SI, Fukudome A, Hirai M, Okumura T, Nishimura Y, Takaki Y, Kurosawa N, Koonin EV, Krupovic M, Nunoura T. Double-stranded RNA sequencing reveals distinct riboviruses associated with thermoacidophilic bacteria from hot springs in Japan. Nat Microbiol 2024; 9:514-523. [PMID: 38233646 PMCID: PMC10847044 DOI: 10.1038/s41564-023-01579-5] [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: 07/03/2023] [Accepted: 12/08/2023] [Indexed: 01/19/2024]
Abstract
Metatranscriptome sequencing expanded the known diversity of the bacterial RNA virome, suggesting that additional riboviruses infecting bacterial hosts remain to be discovered. Here we employed double-stranded RNA sequencing to recover complete genome sequences of two ribovirus groups from acidic hot springs in Japan. One group, denoted hot spring riboviruses (HsRV), consists of viruses with distinct RNA-directed RNA polymerases (RdRPs) that seem to be intermediates between typical ribovirus RdRPs and viral reverse transcriptases. This group forms a distinct phylum, Artimaviricota, or even kingdom within the realm Riboviria. We identified viruses encoding HsRV-like RdRPs in marine water, river sediments and salt marshes, indicating that this group is widespread beyond extreme ecosystems. The second group, denoted hot spring partiti-like viruses (HsPV), forms a distinct branch within the family Partitiviridae. The genome architectures of HsRV and HsPV and their identification in bacteria-dominated habitats suggest that these viruses infect thermoacidophilic bacteria.
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Affiliation(s)
- Syun-Ichi Urayama
- Department of Life and Environmental Sciences, Laboratory of Fungal Interaction and Molecular Biology (donated by IFO), University of Tsukuba, Tsukuba, Japan.
- Microbiology Research Center for Sustainability (MiCS), University of Tsukuba, Tsukuba, Japan.
| | - Akihito Fukudome
- Howard Hughes Medical Institute, Department of Biology and Department of Molecular and Cellular Biochemistry, Indiana University, Bloomington, IN, USA
| | - Miho Hirai
- Super-cutting-edge Grand and Advanced Research (SUGAR) Program, Japan Agency for Marine Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Tomoyo Okumura
- Marine Core Research Institute, Kochi University, Nankoku, Kochi, Japan
| | - Yosuke Nishimura
- Research Center for Bioscience and Nanoscience (CeBN), JAMSTEC, Yokosuka, Japan
| | - Yoshihiro Takaki
- Super-cutting-edge Grand and Advanced Research (SUGAR) Program, Japan Agency for Marine Science and Technology (JAMSTEC), Yokosuka, Japan
| | - Norio Kurosawa
- Faculty of Science and Engineering, Soka University, Hachioji, Japan
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Mart Krupovic
- Institut Pasteur, Université Paris Cité, Archaeal Virology Unit, Paris, France
| | - Takuro Nunoura
- Research Center for Bioscience and Nanoscience (CeBN), JAMSTEC, Yokosuka, Japan
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19
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Baker JL, Mark Welch JL, Kauffman KM, McLean JS, He X. The oral microbiome: diversity, biogeography and human health. Nat Rev Microbiol 2024; 22:89-104. [PMID: 37700024 PMCID: PMC11084736 DOI: 10.1038/s41579-023-00963-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2023] [Indexed: 09/14/2023]
Abstract
The human oral microbiota is highly diverse and has a complex ecology, comprising bacteria, microeukaryotes, archaea and viruses. These communities have elaborate and highly structured biogeography that shapes metabolic exchange on a local scale and results from the diverse microenvironments present in the oral cavity. The oral microbiota also interfaces with the immune system of the human host and has an important role in not only the health of the oral cavity but also systemic health. In this Review, we highlight recent advances including novel insights into the biogeography of several oral niches at the species level, as well as the ecological role of candidate phyla radiation bacteria and non-bacterial members of the oral microbiome. In addition, we summarize the relationship between the oral microbiota and the pathology of oral diseases and systemic diseases. Together, these advances move the field towards a more holistic understanding of the oral microbiota and its role in health, which in turn opens the door to the study of novel preventive and therapeutic strategies.
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Affiliation(s)
- Jonathon L Baker
- Oregon Health & Science University, Portland, OR, USA
- J. Craig Venter Institute, La Jolla, CA, USA
- UC San Diego School of Medicine, La Jolla, CA, USA
| | - Jessica L Mark Welch
- The Forsyth Institute, Cambridge, MA, USA
- Marine Biological Laboratory, Woods Hole, MA, USA
| | | | | | - Xuesong He
- The Forsyth Institute, Cambridge, MA, USA.
- Harvard School of Dental Medicine, Boston, MA, USA.
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20
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Ni Y, Xu T, Yan S, Chen L, Wang Y. Hiding in plain sight: The discovery of complete genomes of 11 hypothetical spindle-shaped viruses that putatively infect mesophilic ammonia-oxidizing archaea. ENVIRONMENTAL MICROBIOLOGY REPORTS 2024; 16:e13230. [PMID: 38263861 PMCID: PMC10866085 DOI: 10.1111/1758-2229.13230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024]
Abstract
The genome of a putative Nitrosopumilaceae virus with a hypothetical spindle-shaped particle morphology was identified in the Yangshan Harbour metavirome from the East China Sea through protein similarity comparison and structure analysis. This discovery was accompanied by a set of 10 geographically dispersed close relatives found in the environmental virus datasets from typical locations of ammonia-oxidizing archaeon distribution. Its host prediction was supported by iPHoP prediction and protein sequence similarity. The structure of the predicted major capsid protein, together with the overall N-glycosylation site, the transmembrane helices prediction, the hydrophilicity profile, and the docking simulation of the major capsid proteins, indicate that these viruses resemble spindle-shaped viruses. It suggests a similarly assembled structure and, consequently, a possibly spindle-shaped morphology of these newly discovered archaeal viruses.
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Affiliation(s)
- Yimin Ni
- College of Food Science and TechnologyShanghai Ocean UniversityShanghaiChina
| | - Tianqi Xu
- College of Food Science and TechnologyShanghai Ocean UniversityShanghaiChina
| | - Shuling Yan
- Entwicklungsgenetik und Zellbiologie der TierePhilipps‐Universität MarburgMarburgGermany
| | - Lanming Chen
- College of Food Science and TechnologyShanghai Ocean UniversityShanghaiChina
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai)Ministry of AgricultureShanghaiChina
| | - Yongjie Wang
- College of Food Science and TechnologyShanghai Ocean UniversityShanghaiChina
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai)Ministry of AgricultureShanghaiChina
- Laboratory for Marine Biology and BiotechnologyQingdao National Laboratory for Marine Science and TechnologyQingdaoChina
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21
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Rozwalak P, Barylski J, Wijesekara Y, Dutilh BE, Zielezinski A. Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces. Nat Commun 2024; 15:495. [PMID: 38263397 PMCID: PMC10805732 DOI: 10.1038/s41467-023-44370-0] [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: 06/13/2023] [Accepted: 12/11/2023] [Indexed: 01/25/2024] Open
Abstract
Bacteriophages are widely recognised as rapidly evolving biological entities. However, knowledge about ancient bacteriophages is limited. Here, we analyse DNA sequence datasets previously generated from ancient palaeofaeces and human gut-content samples, and identify an ancient phage genome nearly identical to present-day Mushuvirus mushu, a virus that infects gut commensal bacteria. The DNA damage patterns of the genome are consistent with its ancient origin and, despite 1300 years of evolution, the ancient Mushuvirus genome shares 97.7% nucleotide identity with its modern counterpart, indicating a long-term relationship between the prophage and its host. In addition, we reconstruct and authenticate 297 other phage genomes from the last 5300 years, including those belonging to unknown families. Our findings demonstrate the feasibility of reconstructing ancient phage genome sequences, thus expanding the known virosphere and offering insights into phage-bacteria interactions spanning several millennia.
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Affiliation(s)
- Piotr Rozwalak
- Department of Computational Biology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland
| | - Jakub Barylski
- Department of Molecular Virology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland
| | - Yasas Wijesekara
- Institute of Bioinformatics, University Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475, Greifswald, Germany
| | - Bas E Dutilh
- Institute of Biodiversity, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743, Jena, Germany.
- Theoretical Biology and Bioinformatics, Science4Life, Utrecht University, Padualaan 8, 3584 CH, Utrecht, the Netherlands.
| | - Andrzej Zielezinski
- Department of Computational Biology, Faculty of Biology, Adam Mickiewicz University, Poznan, 61-614, Poland.
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22
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Ligeti B, Szepesi-Nagy I, Bodnár B, Ligeti-Nagy N, Juhász J. ProkBERT family: genomic language models for microbiome applications. Front Microbiol 2024; 14:1331233. [PMID: 38282738 PMCID: PMC10810988 DOI: 10.3389/fmicb.2023.1331233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/11/2023] [Indexed: 01/30/2024] Open
Abstract
Background In the evolving landscape of microbiology and microbiome analysis, the integration of machine learning is crucial for understanding complex microbial interactions, and predicting and recognizing novel functionalities within extensive datasets. However, the effectiveness of these methods in microbiology faces challenges due to the complex and heterogeneous nature of microbial data, further complicated by low signal-to-noise ratios, context-dependency, and a significant shortage of appropriately labeled datasets. This study introduces the ProkBERT model family, a collection of large language models, designed for genomic tasks. It provides a generalizable sequence representation for nucleotide sequences, learned from unlabeled genome data. This approach helps overcome the above-mentioned limitations in the field, thereby improving our understanding of microbial ecosystems and their impact on health and disease. Methods ProkBERT models are based on transfer learning and self-supervised methodologies, enabling them to use the abundant yet complex microbial data effectively. The introduction of the novel Local Context-Aware (LCA) tokenization technique marks a significant advancement, allowing ProkBERT to overcome the contextual limitations of traditional transformer models. This methodology not only retains rich local context but also demonstrates remarkable adaptability across various bioinformatics tasks. Results In practical applications such as promoter prediction and phage identification, the ProkBERT models show superior performance. For promoter prediction tasks, the top-performing model achieved a Matthews Correlation Coefficient (MCC) of 0.74 for E. coli and 0.62 in mixed-species contexts. In phage identification, ProkBERT models consistently outperformed established tools like VirSorter2 and DeepVirFinder, achieving an MCC of 0.85. These results underscore the models' exceptional accuracy and generalizability in both supervised and unsupervised tasks. Conclusions The ProkBERT model family is a compact yet powerful tool in the field of microbiology and bioinformatics. Its capacity for rapid, accurate analyses and its adaptability across a spectrum of tasks marks a significant advancement in machine learning applications in microbiology. The models are available on GitHub (https://github.com/nbrg-ppcu/prokbert) and HuggingFace (https://huggingface.co/nerualbioinfo) providing an accessible tool for the community.
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Affiliation(s)
- Balázs Ligeti
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - István Szepesi-Nagy
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - Babett Bodnár
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - Noémi Ligeti-Nagy
- Language Technology Research Group, HUN-REN Hungarian Research Centre for Linguistics, Budapest, Hungary
| | - János Juhász
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
- Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary
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23
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Zhao J, Nair S, Zhang Z, Wang Z, Jiao N, Zhang Y. Macroalgal virosphere assists with host-microbiome equilibrium regulation and affects prokaryotes in surrounding marine environments. THE ISME JOURNAL 2024; 18:wrae083. [PMID: 38709876 PMCID: PMC11126160 DOI: 10.1093/ismejo/wrae083] [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: 01/01/2024] [Revised: 03/23/2024] [Accepted: 05/02/2024] [Indexed: 05/08/2024]
Abstract
The microbiomes in macroalgal holobionts play vital roles in regulating macroalgal growth and ocean carbon cycling. However, the virospheres in macroalgal holobionts remain largely underexplored, representing a critical knowledge gap. Here we unveil that the holobiont of kelp (Saccharina japonica) harbors highly specific and unique epiphytic/endophytic viral species, with novelty (99.7% unknown) surpassing even extreme marine habitats (e.g. deep-sea and hadal zones), indicating that macroalgal virospheres, despite being closest to us, are among the least understood. These viruses potentially maintain microbiome equilibrium critical for kelp health via lytic-lysogenic infections and the expression of folate biosynthesis genes. In-situ kelp mesocosm cultivation and metagenomic mining revealed that kelp holobiont profoundly reshaped surrounding seawater and sediment virus-prokaryote pairings through changing surrounding environmental conditions and virus-host migrations. Some kelp epiphytic viruses could even infect sediment autochthonous bacteria after deposition. Moreover, the presence of ample viral auxiliary metabolic genes for kelp polysaccharide (e.g. laminarin) degradation underscores the underappreciated viral metabolic influence on macroalgal carbon cycling. This study provides key insights into understanding the previously overlooked ecological significance of viruses within macroalgal holobionts and the macroalgae-prokaryotes-virus tripartite relationship.
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Affiliation(s)
- Jiulong Zhao
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China
- Shandong Energy Institute, Qingdao, Shandong, 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
| | - Shailesh Nair
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China
- Shandong Energy Institute, Qingdao, Shandong, 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
| | - Zenghu Zhang
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China
- Shandong Energy Institute, Qingdao, Shandong, 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zengmeng Wang
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China
- Shandong Energy Institute, Qingdao, Shandong, 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
| | - Nianzhi Jiao
- Institute of Marine Microbes and Ecospheres, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, 361005, China
| | - Yongyu Zhang
- Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China
- Shandong Energy Institute, Qingdao, Shandong, 266101, China
- Qingdao New Energy Shandong Laboratory, Qingdao, 266101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
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24
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Camargo AP, Call L, Roux S, Nayfach S, Huntemann M, Palaniappan K, Ratner A, Chu K, Mukherjeep S, Reddy TBK, Chen IM, Ivanova N, Eloe-Fadrosh E, Woyke T, Baltrus D, Castañeda-Barba S, de la Cruz F, Funnell BE, Hall JJ, Mukhopadhyay A, Rocha EC, Stalder T, Top E, Kyrpides N. IMG/PR: a database of plasmids from genomes and metagenomes with rich annotations and metadata. Nucleic Acids Res 2024; 52:D164-D173. [PMID: 37930866 PMCID: PMC10767988 DOI: 10.1093/nar/gkad964] [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: 08/29/2023] [Revised: 10/09/2023] [Accepted: 10/14/2023] [Indexed: 11/08/2023] Open
Abstract
Plasmids are mobile genetic elements found in many clades of Archaea and Bacteria. They drive horizontal gene transfer, impacting ecological and evolutionary processes within microbial communities, and hold substantial importance in human health and biotechnology. To support plasmid research and provide scientists with data of an unprecedented diversity of plasmid sequences, we introduce the IMG/PR database, a new resource encompassing 699 973 plasmid sequences derived from genomes, metagenomes and metatranscriptomes. IMG/PR is the first database to provide data of plasmid that were systematically identified from diverse microbiome samples. IMG/PR plasmids are associated with rich metadata that includes geographical and ecosystem information, host taxonomy, similarity to other plasmids, functional annotation, presence of genes involved in conjugation and antibiotic resistance. The database offers diverse methods for exploring its extensive plasmid collection, enabling users to navigate plasmids through metadata-centric queries, plasmid comparisons and BLAST searches. The web interface for IMG/PR is accessible at https://img.jgi.doe.gov/pr. Plasmid metadata and sequences can be downloaded from https://genome.jgi.doe.gov/portal/IMG_PR.
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Affiliation(s)
- Antonio Pedro Camargo
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Lee Call
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Stephen Nayfach
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Marcel Huntemann
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | | | - Anna Ratner
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Ken Chu
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Supratim Mukherjeep
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - T B K Reddy
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - I-Min A Chen
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Natalia N Ivanova
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Tanja Woyke
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - David A Baltrus
- School of Plant Sciences, University of Arizona, Tucson AZ, USA
- School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson AZ, USA
| | | | - Fernando de la Cruz
- Instituto de Biomedicina y Biotecnología de Cantabria (Consejo Superior de Investigaciones Científicas – Universidad de Cantabria), Cantabria, Spain
| | - Barbara E Funnell
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5G 1M1, Canada
| | - James P J Hall
- Department of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool L69 7ZB, UK
| | - Aindrila Mukhopadhyay
- Joint BioEnergy Institute, Emeryville, CA 94608, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Eduardo P C Rocha
- Institut Pasteur, Université de Paris Cité, CNRS UMR3525, Microbial Evolutionary Genomics, Paris, France
| | - Thibault Stalder
- Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA
| | - Eva Top
- Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA
| | - Nikos C Kyrpides
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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25
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Tun HM, Peng Y, Massimino L, Sin ZY, Parigi TL, Facoetti A, Rahman S, Danese S, Ungaro F. Gut virome in inflammatory bowel disease and beyond. Gut 2024; 73:350-360. [PMID: 37949638 PMCID: PMC10850733 DOI: 10.1136/gutjnl-2023-330001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The gut virome is a dense community of viruses inhabiting the gastrointestinal tract and an integral part of the microbiota. The virome coexists with the other components of the microbiota and with the host in a dynamic equilibrium, serving as a key contributor to the maintenance of intestinal homeostasis and functions. However, this equilibrium can be interrupted in certain pathological states, including inflammatory bowel disease, causing dysbiosis that may participate in disease pathogenesis. Nevertheless, whether virome dysbiosis is a causal or bystander event requires further clarification. DESIGN This review seeks to summarise the latest advancements in the study of the gut virome, highlighting its cross-talk with the mucosal microenvironment. It explores how cutting-edge technologies may build upon current knowledge to advance research in this field. An overview of virome transplantation in diseased gastrointestinal tracts is provided along with insights into the development of innovative virome-based therapeutics to improve clinical management. RESULTS Gut virome dysbiosis, primarily driven by the expansion of Caudovirales, has been shown to impact intestinal immunity and barrier functions, influencing overall intestinal homeostasis. Although emerging innovative technologies still need further implementation, they display the unprecedented potential to better characterise virome composition and delineate its role in intestinal diseases. CONCLUSIONS The field of gut virome is progressively expanding, thanks to the advancements of sequencing technologies and bioinformatic pipelines. These have contributed to a better understanding of how virome dysbiosis is linked to intestinal disease pathogenesis and how the modulation of virome composition may help the clinical intervention to ameliorate gut disease management.
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Affiliation(s)
- Hein Min Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Luca Massimino
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Zhen Ye Sin
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tommaso Lorenzo Parigi
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Amanda Facoetti
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | | | - Silvio Danese
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Federica Ungaro
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
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26
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Wang RH, Yang S, Liu Z, Zhang Y, Wang X, Xu Z, Wang J, Li SC. PhageScope: a well-annotated bacteriophage database with automatic analyses and visualizations. Nucleic Acids Res 2024; 52:D756-D761. [PMID: 37904614 PMCID: PMC10767790 DOI: 10.1093/nar/gkad979] [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: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 11/01/2023] Open
Abstract
Bacteriophages are viruses that infect bacteria or archaea. Understanding the diverse and intricate genomic architectures of phages is essential to study microbial ecosystems and develop phage therapy strategies. However, the existing phage databases are short of meticulous annotations. To this end, we propose PhageScope (https://phagescope.deepomics.org), an online phage database with comprehensive annotations. PhageScope harbors a collection of 873 718 phage sequences from various sources. Applying fifteen state-of-the-art tools to perform systematic annotations and analyses, PhageScope provides annotations on genome completeness, host range, lifestyle information, taxonomy classification, nine types of structural and functional genetic elements, and three types of comparative genomic studies for curated phages. Additionally, PhageScope incorporates automatic analyses and visualizations for curated and customized phages, serving as an efficient platform for phage study.
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Affiliation(s)
- Ruo Han Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Shuo Yang
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Zhixuan Liu
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Yuanzheng Zhang
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Xueying Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong
- City University of Hong Kong (Dongguan), Dongguan, China
| | - Zixin Xu
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Jianping Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, Hong Kong
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27
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Yan Y, Zheng J, Zhang X, Yin Y. dbAPIS: a database of anti-prokaryotic immune system genes. Nucleic Acids Res 2024; 52:D419-D425. [PMID: 37889074 PMCID: PMC10767833 DOI: 10.1093/nar/gkad932] [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: 08/11/2023] [Revised: 09/20/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023] Open
Abstract
Anti-prokaryotic immune system (APIS) proteins, typically encoded by phages, prophages, and plasmids, inhibit prokaryotic immune systems (e.g. restriction modification, toxin-antitoxin, CRISPR-Cas). A growing number of APIS genes have been characterized and dispersed in the literature. Here we developed dbAPIS (https://bcb.unl.edu/dbAPIS), as the first literature curated data repository for experimentally verified APIS genes and their associated protein families. The key features of dbAPIS include: (i) experimentally verified APIS genes with their protein sequences, functional annotation, PDB or AlphaFold predicted structures, genomic context, sequence and structural homologs from different microbiome/virome databases; (ii) classification of APIS proteins into sequence-based families and construction of hidden Markov models (HMMs); (iii) user-friendly web interface for data browsing by the inhibited immune system types or by the hosts, and functions for searching and batch downloading of pre-computed data; (iv) Inclusion of all types of APIS proteins (except for anti-CRISPRs) that inhibit a variety of prokaryotic defense systems (e.g. RM, TA, CBASS, Thoeris, Gabija). The current release of dbAPIS contains 41 verified APIS proteins and ∼4400 sequence homologs of 92 families and 38 clans. dbAPIS will facilitate the discovery of novel anti-defense genes and genomic islands in phages, by providing a user-friendly data repository and a web resource for an easy homology search against known APIS proteins.
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Affiliation(s)
- Yuchen Yan
- Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska - Lincoln, Lincoln, NE 68588, USA
| | | | - Xinpeng Zhang
- Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska - Lincoln, Lincoln, NE 68588, USA
| | - Yanbin Yin
- Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska - Lincoln, Lincoln, NE 68588, USA
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28
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Shen L, Zhang Z, Wang R, Wu S, Wang Y, Fu S. Metatranscriptomic data mining together with microfluidic card uncovered the potential pathogens and seasonal RNA viral ecology in a drinking water source. J Appl Microbiol 2024; 135:lxad310. [PMID: 38130237 DOI: 10.1093/jambio/lxad310] [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: 07/20/2023] [Revised: 10/26/2023] [Accepted: 12/20/2023] [Indexed: 12/23/2023]
Abstract
AIMS Despite metatranscriptomics becoming an emerging tool for pathogen surveillance, very little is known about the feasibility of this approach for understanding the fate of human-derived pathogens in drinking water sources. METHODS AND RESULTS We conducted multiplexed microfluidic cards and metatranscriptomic sequencing of the drinking water source in a border city of North Korea in four seasons. Microfluidic card detected norovirus, hepatitis B virus (HBV), enterovirus, and Vibrio cholerae in the water. Phylogenetic analyses showed that environmental-derived sequences from norovirus GII.17, genotype C of HBV, and coxsackievirus A6 (CA6) were genetically related to the local clinical isolates. Meanwhile, metatranscriptomic assembly suggested that several bacterial pathogens, including Acinetobacter johnsonii and V. cholerae might be prevalent in the studied region. Metatranscriptomic analysis recovered 349 species-level groups with substantial viral diversity without detection of norovirus, HBV, and CA6. Seasonally distinct virus communities were also found. Specifically, 126, 73, 126, and 457 types of viruses were identified in spring, summer, autumn, and winter, respectively. The viromes were dominated by the Pisuviricota phylum, including members from Marnaviridae, Dicistroviridae, Luteoviridae, Potyviridae, Picornaviridae, Astroviridae, and Picobirnaviridae families. Further phylogenetic analyses of RNA (Ribonucleic Acid)-dependent RNA polymerase (RdRp) sequences showed a diverse set of picorna-like viruses associated with shellfish, of which several novel picorna-like viruses were also identified. Additionally, potential animal pathogens, including infectious bronchitis virus, Bat dicibavirus, Bat nodavirus, Bat picornavirus 2, infectious bursal disease virus, and Macrobrachium rosenbergii nodavirus were also identified. CONCLUSIONS Our data illustrate the divergence between microfluidic cards and metatranscriptomics, highlighting that the combination of both methods facilitates the source tracking of human viruses in challenging settings without sufficient clinical surveillance.
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Affiliation(s)
- Lixin Shen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Department of Microbiology, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Ziqiang Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Department of Microbiology, College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Rui Wang
- College of Marine Science and Environment, Dalian Ocean University, Dalian 116023, China
| | - Shuang Wu
- College of Food Technology and Sciences, Shanghai Ocean University, Shanghai 200093, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
| | - Yongjie Wang
- College of Food Technology and Sciences, Shanghai Ocean University, Shanghai 200093, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 200093, China
| | - Songzhe Fu
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Department of Microbiology, College of Life Sciences, Northwest University, Xi'an 710069, China
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29
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Yin H, Wu S, Tan J, Guo Q, Li M, Guo J, Wang Y, Jiang X, Zhu H. IPEV: identification of prokaryotic and eukaryotic virus-derived sequences in virome using deep learning. Gigascience 2024; 13:giae018. [PMID: 38649300 PMCID: PMC11034026 DOI: 10.1093/gigascience/giae018] [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: 11/23/2023] [Revised: 03/14/2024] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The virome obtained through virus-like particle enrichment contains a mixture of prokaryotic and eukaryotic virus-derived fragments. Accurate identification and classification of these elements are crucial to understanding their roles and functions in microbial communities. However, the rapid mutation rates of viral genomes pose challenges in developing high-performance tools for classification, potentially limiting downstream analyses. FINDINGS We present IPEV, a novel method to distinguish prokaryotic and eukaryotic viruses in viromes, with a 2-dimensional convolutional neural network combining trinucleotide pair relative distance and frequency. Cross-validation assessments of IPEV demonstrate its state-of-the-art precision, significantly improving the F1-score by approximately 22% on an independent test set compared to existing methods when query viruses share less than 30% sequence similarity with known viruses. Furthermore, IPEV outperforms other methods in accuracy on marine and gut virome samples based on annotations by sequence alignments. IPEV reduces runtime by at most 1,225 times compared to existing methods under the same computing configuration. We also utilized IPEV to analyze longitudinal samples and found that the gut virome exhibits a higher degree of temporal stability than previously observed in persistent personal viromes, providing novel insights into the resilience of the gut virome in individuals. CONCLUSIONS IPEV is a high-performance, user-friendly tool that assists biologists in identifying and classifying prokaryotic and eukaryotic viruses within viromes. The tool is available at https://github.com/basehc/IPEV.
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Affiliation(s)
- Hengchuang Yin
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Shufang Wu
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Jie Tan
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Qian Guo
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Mo Li
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Jinyuan Guo
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
| | - Yaqi Wang
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Xiaoqing Jiang
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China
| | - Huaiqiu Zhu
- Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing 100871, China
- School of Life Sciences, Peking University, Beijing 100871, China
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
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30
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Goff JL, Lui LM, Nielsen TN, Poole FL, Smith HJ, Walker KF, Hazen TC, Fields MW, Arkin AP, Adams MWW. Mixed waste contamination selects for a mobile genetic element population enriched in multiple heavy metal resistance genes. ISME COMMUNICATIONS 2024; 4:ycae064. [PMID: 38800128 PMCID: PMC11128244 DOI: 10.1093/ismeco/ycae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/11/2024] [Indexed: 05/29/2024]
Abstract
Mobile genetic elements (MGEs) like plasmids, viruses, and transposable elements can provide fitness benefits to their hosts for survival in the presence of environmental stressors. Heavy metal resistance genes (HMRGs) are frequently observed on MGEs, suggesting that MGEs may be an important driver of adaptive evolution in environments contaminated with heavy metals. Here, we report the meta-mobilome of the heavy metal-contaminated regions of the Oak Ridge Reservation subsurface. This meta-mobilome was compared with one derived from samples collected from unimpacted regions of the Oak Ridge Reservation subsurface. We assembled 1615 unique circularized DNA elements that we propose to be MGEs. The circular elements from the highly contaminated subsurface were enriched in HMRG clusters relative to those from the nearby unimpacted regions. Additionally, we found that these HMRGs were associated with Gamma and Betaproteobacteria hosts in the contaminated subsurface and potentially facilitate the persistence and dominance of these taxa in this region. Finally, the HMRGs were associated with conjugative elements, suggesting their potential for future lateral transfer. We demonstrate how our understanding of MGE ecology, evolution, and function can be enhanced through the genomic context provided by completed MGE assemblies.
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Affiliation(s)
- Jennifer L Goff
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
- Department of Chemistry, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, United States
| | - Lauren M Lui
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Torben N Nielsen
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Farris L Poole
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
| | - Heidi J Smith
- Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT 59717, United States
| | - Kathleen F Walker
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37916, United States
| | - Terry C Hazen
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37916, United States
- Genome Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, United States
| | - Matthew W Fields
- Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717, United States
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT 59717, United States
| | - Adam P Arkin
- Environmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
- Department of Bioengineering, University of California, Berkeley, CA 94720, United States
| | - Michael W W Adams
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, United States
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31
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Heinrichs ME, Piedade GJ, Popa O, Sommers P, Trubl G, Weissenbach J, Rahlff J. Breaking the Ice: A Review of Phages in Polar Ecosystems. Methods Mol Biol 2024; 2738:31-71. [PMID: 37966591 DOI: 10.1007/978-1-0716-3549-0_3] [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: 11/16/2023]
Abstract
Bacteriophages, or phages, are viruses that infect and replicate within bacterial hosts, playing a significant role in regulating microbial populations and ecosystem dynamics. However, phages from extreme environments such as polar regions remain relatively understudied due to challenges such as restricted ecosystem access and low biomass. Understanding the diversity, structure, and functions of polar phages is crucial for advancing our knowledge of the microbial ecology and biogeochemistry of these environments. In this review, we will explore the current state of knowledge on phages from the Arctic and Antarctic, focusing on insights gained from -omic studies, phage isolation, and virus-like particle abundance data. Metagenomic studies of polar environments have revealed a high diversity of phages with unique genetic characteristics, providing insights into their evolutionary and ecological roles. Phage isolation studies have identified novel phage-host interactions and contributed to the discovery of new phage species. Virus-like particle abundance and lysis rate data, on the other hand, have highlighted the importance of phages in regulating bacterial populations and nutrient cycling in polar environments. Overall, this review aims to provide a comprehensive overview of the current state of knowledge about polar phages, and by synthesizing these different sources of information, we can better understand the diversity, dynamics, and functions of polar phages in the context of ongoing climate change, which will help to predict how polar ecosystems and residing phages may respond to future environmental perturbations.
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Affiliation(s)
- Mara Elena Heinrichs
- Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University, Oldenburg, Germany
| | - Gonçalo J Piedade
- Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, 't Horntje, The Netherlands
- Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, The Netherlands
| | - Ovidiu Popa
- Institute of Quantitative and Theoretical Biology Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | | | - Gareth Trubl
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Julia Weissenbach
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden
| | - Janina Rahlff
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden.
- Aero-Aquatic Virus Research Group, Friedrich Schiller University Jena, Jena, Germany.
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32
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Rossi FPN, Flores VS, Uceda-Campos G, Amgarten DE, Setubal JC, da Silva AM. Comparative Analyses of Bacteriophage Genomes. Methods Mol Biol 2024; 2802:427-453. [PMID: 38819567 DOI: 10.1007/978-1-0716-3838-5_14] [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: 06/01/2024]
Abstract
Bacterial viruses (bacteriophages or phages) are the most abundant and diverse biological entities on Earth. There is a renewed worldwide interest in phage-centered research motivated by their enormous potential as antimicrobials to cope with multidrug-resistant pathogens. An ever-growing number of complete phage genomes are becoming available, derived either from newly isolated phages (cultivated phages) or recovered from metagenomic sequencing data (uncultivated phages). Robust comparative analysis is crucial for a comprehensive understanding of genotypic variations of phages and their related evolutionary processes, and to investigate the interaction mechanisms between phages and their hosts. In this chapter, we present a protocol for phage comparative genomics employing tools selected out of the many currently available, focusing on complete genomes of phages classified in the class Caudoviricetes. This protocol provides accurate identification of similarities, differences, and patterns among new and previously known complete phage genomes as well as phage clustering and taxonomic classification.
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Affiliation(s)
| | - Vinicius Sousa Flores
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Guillermo Uceda-Campos
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | | | - João Carlos Setubal
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Aline Maria da Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Sao Paulo, SP, Brazil.
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Quinones-Olvera N, Owen SV, McCully LM, Marin MG, Rand EA, Fan AC, Martins Dosumu OJ, Paul K, Sanchez Castaño CE, Petherbridge R, Paull JS, Baym M. Diverse and abundant phages exploit conjugative plasmids. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.19.532758. [PMID: 36993299 PMCID: PMC10055259 DOI: 10.1101/2023.03.19.532758] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Phages exert profound evolutionary pressure on bacteria by interacting with receptors on the cell surface to initiate infection. While the majority of phages use chromosomally-encoded cell surface structures as receptors, plasmid-dependent phages exploit plasmid-encoded conjugation proteins, making their host range dependent on horizontal transfer of the plasmid. Despite their unique biology and biotechnological significance, only a small number of plasmid-dependent phages have been characterized. Here we systematically search for new plasmid-dependent phages targeting IncP and IncF plasmids using a targeted discovery platform, and find that they are common and abundant in wastewater, and largely unexplored in terms of their genetic diversity. Plasmid-dependent phages are enriched in non-canonical types of phages, and all but one of the 64 phages we isolated were non-tailed, and members of the lipid-containing tectiviruses, ssDNA filamentous phages or ssRNA phages. We show that plasmid-dependent tectiviruses exhibit profound differences in their host range which is associated with variation in the phage holin protein. Despite their relatively high abundance in wastewater, plasmid-dependent tectiviruses are missed by metaviromic analyses, underscoring the continued importance of culture-based phage discovery. Finally, we identify a tailed phage dependent on the IncF plasmid, and find related structural genes in phages that use the orthogonal type 4 pilus as a receptor, highlighting the promiscuous use of these distinct contractile structures by multiple groups of phages. Taken together, these results indicate plasmid-dependent phages play an under-appreciated evolutionary role in constraining horizontal gene transfer via conjugative plasmids.
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Affiliation(s)
- Natalia Quinones-Olvera
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Siân V. Owen
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Lucy M. McCully
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Maximillian G. Marin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Eleanor A. Rand
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Alice C. Fan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Boston University, Boston, MA 02215, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Oluremi J. Martins Dosumu
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Kay Paul
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Cleotilde E. Sanchez Castaño
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Roxbury Community College, Boston, MA, 02120, USA
| | - Rachel Petherbridge
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Jillian S. Paull
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael Baym
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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34
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Lücking D, Alarcón-Schumacher T, Erdmann S. Distribution and Implications of Haloarchaeal Plasmids Disseminated in Self-Encoded Plasmid Vesicles. Microorganisms 2023; 12:5. [PMID: 38276173 PMCID: PMC10818511 DOI: 10.3390/microorganisms12010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 01/27/2024] Open
Abstract
Even though viruses and plasmids are both drivers of horizontal gene transfer, they differ fundamentally in their mode of transfer. Virus genomes are enclosed in virus capsids and are not dependent on cell-to-cell contacts for their dissemination. In contrast, the transfer of plasmids most often requires physical contact between cells. However, plasmid pR1SE of Halorubrum lacusprofundi is disseminated between cells, independent of cell-cell contacts, in specialized membrane vesicles that contain plasmid proteins. In this study, we searched for pR1SE-like elements in public databases and a metagenomics dataset from Australian salt lakes and identified 40 additional pR1SE-like elements in hypersaline environments worldwide. Herein, these elements are named apHPVs (archaeal plasmids of haloarchaea potentially transferred in plasmid vesicles). They share two sets of closely related proteins with conserved synteny, strongly indicating an organization into different functional clusters. We find that apHPVs, besides transferring themselves, have the potential to transfer large fragments of DNA between host cells, including virus defense systems. Most interestingly, apHPVs likely play an important role in the evolution of viruses and plasmids in haloarchaea, as they appear to recombine with both of them. This further supports the idea that plasmids and viruses are not distinct but closely related mobile genetic elements.
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Affiliation(s)
| | | | - Susanne Erdmann
- Max-Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
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35
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Kosmopoulos JC, Klier KM, Langwig MV, Tran PQ, Anantharaman K. Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.15.562385. [PMID: 37904928 PMCID: PMC10614762 DOI: 10.1101/2023.10.15.562385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Background Viruses, the majority of which are uncultivated, are among the most abundant biological entities on Earth. From altering microbial physiology to driving community dynamics, viruses are fundamental members of microbiomes. While the number of studies leveraging viral metagenomics (viromics) for studying uncultivated viruses is growing, standards for viromics research are lacking. Viromics can utilize computational discovery of viruses from total metagenomes of all community members (hereafter metagenomes) or use physical separation of virus-specific fractions (hereafter viromes). However, differences in the recovery and interpretation of viruses from metagenomes and viromes obtained from the same samples remain understudied. Results Here, we compare viral communities from paired viromes and metagenomes obtained from 60 diverse samples across human gut, soil, freshwater, and marine ecosystems. Overall, viral communities obtained from viromes were more abundant and species rich than those obtained from metagenomes, although there were some exceptions. Despite this, metagenomes still contained many viral genomes not detected in viromes. We also found notable differences in the predicted lytic state of viruses detected in viromes vs metagenomes at the time of sequencing. Other forms of variation observed include genome presence/absence, genome quality, and encoded protein content between viromes and metagenomes, but the magnitude of these differences varied by environment. Conclusions Overall, our results show that the choice of method can lead to differing interpretations of viral community ecology. We suggest that the choice of whether to target a metagenome or virome to study viral communities should be dependent on the environmental context and ecological questions being asked. However, our overall recommendation to researchers investigating viral ecology and evolution is to pair both approaches to maximize their respective benefits.
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Affiliation(s)
- James C. Kosmopoulos
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Katherine M. Klier
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Freshwater and Marine Sciences Program, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Marguerite V. Langwig
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Freshwater and Marine Sciences Program, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Patricia Q. Tran
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Karthik Anantharaman
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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36
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Potapov SA, Belykh OI. Virophages Found in Viromes from Lake Baikal. Biomolecules 2023; 13:1773. [PMID: 38136644 PMCID: PMC10741620 DOI: 10.3390/biom13121773] [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: 11/13/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
In this study, a previously little-studied group of viruses-virophages-was searched for and identified in the viromes of the ancient oligotrophic Lake Baikal. Virophages are small dsDNA viruses that parasitize giant viruses (e.g., Mimiviridae), which in turn affect unicellular eukaryotes. We analyzed eight viromes obtained from the deep-water areas of three basins of Lake Baikal and the shallow-water strait Maloye More in different seasons. The sequences of virophages were revealed in all viromes and were dominant after bacteriophages and algal viruses. Sixteen putative complete genomes of virophages were assembled, all of which contained four conserved genes encoding major capsid protein (MCP), minor capsid protein (mCP), maturation cysteine protease (PRO), and FtsK-HerA family DNA-packaging ATPase (ATPase). The MCP-based cluster analysis showed a sequence separation according to seasons, and a dependence on the geographical localization was not detected.
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Affiliation(s)
- Sergey Anatoljevich Potapov
- Limnological Institute Siberian Branch of the Russian Academy of Sciences, Ulan-Batorskaya 3, Irkutsk 664033, Russia;
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37
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Vila-Nistal M, Maestre-Carballa L, Martinez-Hernández F, Martinez-Garcia M. Novel RNA viruses from the Atlantic Ocean: Ecogenomics, biogeography, and total virioplankton mass contribution from surface to the deep ocean. Environ Microbiol 2023; 25:3151-3160. [PMID: 37696769 DOI: 10.1111/1462-2920.16502] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/04/2023] [Indexed: 09/13/2023]
Abstract
Marine viruses play a major role in the energy and nutrient cycle and affect the evolution of their hosts. Despite their importance, there is still little knowledge about RNA viruses. Here, we have explored the Atlantic Ocean, from surface to deep (4.296 m), and used viromics and quantitative methods to unveil the genomics, biogeography, and the mass contribution of RNA viruses to the total viroplankton. A total of 2481 putative RNA viral contigs (>500 bp) and 107 larger bona fide RNA viral genomes (>2.5 kb) were identified; 88 of them representing novel viruses belonging mostly to two clades: Yangshan assemblage (sister clade to the class Alsuviricetes) and Nodaviridae. These viruses were highly endemic and locally abundant, with little or no presence in other oceans since only ≈15% of them were found in at least one of the Tara sampling metatranscriptomes. Quantitative data indicated that the abundance of RNA viruses in the surface and deep chlorophyll maximum zone was within ≈106 VLP/mL representing a potential contribution of 5.2%-24.4% to the total viroplankton community (DNA and RNA viruses), with DNA viruses being the predominant members (≈107 VLP/mL). However, for the deep sample, the observed trend was the opposite, although as further discussed, several biases should be considered. Together these results contribute to our understanding of the diversity, abundance, and distribution of RNA viruses in the oceans and provide a basis for further investigation into their ecological roles and biogeography.
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Affiliation(s)
- Marina Vila-Nistal
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Alicante, Spain
- Multidisciplinary Institute for Environmental Studies (IMEM), University of Alicante, Alicante, Spain
| | - Lucia Maestre-Carballa
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Alicante, Spain
- Multidisciplinary Institute for Environmental Studies (IMEM), University of Alicante, Alicante, Spain
| | | | - Manuel Martinez-Garcia
- Department of Physiology, Genetics, and Microbiology, University of Alicante, Alicante, Spain
- Multidisciplinary Institute for Environmental Studies (IMEM), University of Alicante, Alicante, Spain
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38
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Wu R, Davison MR, Nelson WC, Smith ML, Lipton MS, Jansson JK, McClure RS, McDermott JE, Hofmockel KS. Hi-C metagenome sequencing reveals soil phage-host interactions. Nat Commun 2023; 14:7666. [PMID: 37996432 PMCID: PMC10667309 DOI: 10.1038/s41467-023-42967-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 10/27/2023] [Indexed: 11/25/2023] Open
Abstract
Bacteriophages are abundant in soils. However, the majority are uncharacterized, and their hosts are unknown. Here, we apply high-throughput chromosome conformation capture (Hi-C) to directly capture phage-host relationships. Some hosts have high centralities in bacterial community co-occurrence networks, suggesting phage infections have an important impact on the soil bacterial community interactions. We observe increased average viral copies per host (VPH) and decreased viral transcriptional activity following a two-week soil-drying incubation, indicating an increase in lysogenic infections. Soil drying also alters the observed phage host range. A significant negative correlation between VPH and host abundance prior to drying indicates more lytic infections result in more host death and inversely influence host abundance. This study provides empirical evidence of phage-mediated bacterial population dynamics in soil by directly capturing specific phage-host interactions.
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Affiliation(s)
- Ruonan Wu
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Michelle R Davison
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - William C Nelson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Montana L Smith
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Mary S Lipton
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Janet K Jansson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ryan S McClure
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jason E McDermott
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, OR, USA
| | - Kirsten S Hofmockel
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
- Department of Agronomy, Iowa State University, Ames, IA, USA.
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39
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Tan Y, Yu P, Huang D, Yuan MM, Yu Z, Lu H, Alvarez PJJ, Zhu L. Enhanced Bacterium-Phage Symbiosis in Attached Microbial Aggregates on a Membrane Surface Facing Elevated Hydraulic Stress. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:17324-17337. [PMID: 37930060 DOI: 10.1021/acs.est.3c05452] [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: 11/07/2023]
Abstract
Phages are increasingly recognized for their importance in microbial aggregates, including their influence on microbial ecosystem services and biotechnology applications. However, the adaptive strategies and ecological functions of phages in different aggregates remain largely unexplored. Herein, we used membrane bioreactors to investigate bacterium-phage interactions and related microbial functions within suspended and attached microbial aggregates (SMA vs AMA). SMA and AMA represent distinct microbial habitats where bacterial communities display distinct patterns in terms of dominant species, keystone species, and bacterial networks. However, bacteria and phages in both aggregates exhibited high lysogenicity, with 60% lysogenic phages in the virome and 70% lysogenic metagenome-assembled genomes of bacteria. Moreover, substantial phages exhibited broad host ranges (34% in SMA and 42% in AMA) and closely interacted with habitat generalist species (43% in SMA and 49% in AMA) as adaptive strategies in stressful operation environments. Following a mutualistic pattern, phage-carried auxiliary metabolic genes (pAMGs; 238 types in total) presumably contributed to the bacterial survival and aggregate stability. The SMA-pAMGs were mainly associated with energy metabolism, while the AMA-pAMGs were mainly associated with antioxidant biosynthesis and the synthesis of extracellular polymeric substances, representing habitat-dependent patterns. Overall, this study advanced our understanding of phage adaptive strategies in microbial aggregate habitats and emphasized the importance of bacterium-phage symbiosis in the stability of microbial aggregates.
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Affiliation(s)
- Yixiao Tan
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Pingfeng Yu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan 314100, China
| | - Dan Huang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mengting Maggie Yuan
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720, United States
| | - Zhuodong Yu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Huijie Lu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Pedro J J Alvarez
- Civil and Environmental Engineering Department, Rice University, Houston, Texas 77005, United States
| | - Liang Zhu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan 314100, China
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40
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Zhao J, Xi Y, Zhang J, Jin Y, Yang H, Duan G, Chen S, Long J. Characterization and diversity of CRISPR/Cas systems in Klebsiella oxytoca. Mol Genet Genomics 2023; 298:1407-1417. [PMID: 37684555 DOI: 10.1007/s00438-023-02065-7] [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: 02/01/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023]
Abstract
CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) system is a crucial adaptive immune system for bacteria to resist foreign DNA infection. In this study, we investigated the prevalence and diversity of CRISPR/Cas systems in 175 Klebsiella oxytoca (K. oxytoca) strains. Specifically, 58.86% (103/175) of these strains possessed at least one confirmed CRISPR locus. Two CRISPR/Cas system types, I-F and IV-A3, were identified in 69 strains. Type I-F system was the most prevalent in this species, which correlated well with MLST. Differently, type IV-A3 system was randomly distributed. Moreover, the type IV-A3 system was separated into two subgroups, with subgroup-specific cas genes and repeat sequences. In addition, spacer origin analysis revealed that approximately one-fifth of type I-F spacers and one-third of type IV-A3 spacers had a significant match to MGEs. The phage tail tape measure protein and conjunctive transfer system protein were important targets of type I-F and IV-A3 systems in K. oxytoca, respectively. PAM sequences were inferred to be 5'-NCC-3' for type I-F, 5'-AAG-3' for subgroup IV-A3-a, and 5'-AAN-3' for subgroup IV-A3-b. Collectively, our findings will shed light on the prevalence, diversity, and functional effects of the CRISPR/Cas system in K. oxytoca.
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Affiliation(s)
- Jiaxue Zhao
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China
| | - Yanyan Xi
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China
| | | | - Yuefei Jin
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China
| | - Haiyan Yang
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China
| | - Guangcai Duan
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China
- Henan Key Laboratory of Molecular Medicine, Zhengzhou, Henan, China
| | - Shuaiyin Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China.
| | - Jinzhao Long
- Department of Epidemiology, College of Public Health, Zhengzhou University, No. 100 Kexue Avenue, Zhengzhou, 450001, Henan, China.
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Coclet C, Sorensen PO, Karaoz U, Wang S, Brodie EL, Eloe-Fadrosh EA, Roux S. Virus diversity and activity is driven by snowmelt and host dynamics in a high-altitude watershed soil ecosystem. MICROBIOME 2023; 11:237. [PMID: 37891627 PMCID: PMC10604447 DOI: 10.1186/s40168-023-01666-z] [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: 03/15/2023] [Accepted: 09/07/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND Viruses impact nearly all organisms on Earth, including microbial communities and their associated biogeochemical processes. In soils, highly diverse viral communities have been identified, with a global distribution seemingly driven by multiple biotic and abiotic factors, especially soil temperature and moisture. However, our current understanding of the stability of soil viral communities across time and their response to strong seasonal changes in environmental parameters remains limited. Here, we investigated the diversity and activity of environmental soil DNA and RNA viruses, focusing especially on bacteriophages, across dynamics' seasonal changes in a snow-dominated mountainous watershed by examining paired metagenomes and metatranscriptomes. RESULTS We identified a large number of DNA and RNA viruses taxonomically divergent from existing environmental viruses, including a significant proportion of fungal RNA viruses, and a large and unsuspected diversity of positive single-stranded RNA phages (Leviviricetes), highlighting the under-characterization of the global soil virosphere. Among these, we were able to distinguish subsets of active DNA and RNA phages that changed across seasons, consistent with a "seed-bank" viral community structure in which new phage activity, for example, replication and host lysis, is sequentially triggered by changes in environmental conditions. At the population level, we further identified virus-host dynamics matching two existing ecological models: "Kill-The-Winner" which proposes that lytic phages are actively infecting abundant bacteria, and "Piggyback-The-Persistent" which argues that when the host is growing slowly, it is more beneficial to remain in a dormant state. The former was associated with summer months of high and rapid microbial activity, and the latter with winter months of limited and slow host growth. CONCLUSION Taken together, these results suggest that the high diversity of viruses in soils is likely associated with a broad range of host interaction types each adapted to specific host ecological strategies and environmental conditions. As our understanding of how environmental and host factors drive viral activity in soil ecosystems progresses, integrating these viral impacts in complex natural microbiome models will be key to accurately predict ecosystem biogeochemistry. Video Abstract.
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Affiliation(s)
- Clement Coclet
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Patrick O Sorensen
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ulas Karaoz
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Shi Wang
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Eoin L Brodie
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
| | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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Lu F, Wu S, Ni Y, Yu Y, Fu S, Wang Y. Metavirome-assembled genome sequence of a new aquatic RNA virus expands the genus Locarnavirus. Arch Virol 2023; 168:279. [PMID: 37878110 DOI: 10.1007/s00705-023-05908-1] [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: 04/11/2023] [Accepted: 08/23/2023] [Indexed: 10/26/2023]
Abstract
RNA viruses in marine environments have long been recognized as major players in the virosphere. In this study, the complete genome sequence of an RNA virus from Yangshan Harbor, named marine RNA virus Yangshan-LWW (YS-LWW), was obtained based on metavirome assembly. The genome of YS-LWW is 8839 nt in length and contains two open reading frames (ORFs). Both RdRP- and whole-genome-based phylogenetic analysis showed that YS-LWW, together with 45 viral isolates with sequences in public datasets, represents a new species in the genus Locarnavirus of the family Marnaviridae. PCR and public dataset mining indicate that YS-LWW and YS-LWW-like viruses have been widely detected in coastal and freshwater environments, suggesting that they might play a significant role in aquatic ecosystems.
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Affiliation(s)
- Fangxin Lu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Shuang Wu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Yimin Ni
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Yongxin Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Songzhe Fu
- Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education, Dalian Ocean University, Dalian, China
| | - Yongjie Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai, China.
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43
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Ge F, Guo R, Liang Y, Chen Y, Shao H, Sung YY, Mok WJ, Wong LL, McMinn A, Wang M. Characterization and genomic analysis of Stutzerimonas stutzeri phage vB_PstS_ZQG1, representing a novel viral genus. Virus Res 2023; 336:199226. [PMID: 37739268 PMCID: PMC10520572 DOI: 10.1016/j.virusres.2023.199226] [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: 06/12/2023] [Revised: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023]
Abstract
Stutzerimonas stutzeri is an opportunistic pathogenic bacterium belonging to the Gammaproteobacteria, exhibiting wide distribution in the environment and playing significant ecological roles such as nitrogen fixation or pollutant degradation. Despite its ecological importance, only two S. stutzeri phages have been isolated to date. Here, a novel S. stutzeri phage, vB_PstS_ZQG1, was isolated from the surface seawater of Qingdao, China. Transmission electron microscopy analysis indicates that vB_PstS_ZQG1 has a morphology characterized by a long non-contractile tail. The genomic sequence of vB_PstS_ZQG1 contains a linear, double-strand 61,790-bp with the G+C content of 53.24% and encodes 90 putative open reading frames. Two auxiliary metabolic genes encoding TolA protein and nucleotide pyrophosphohydrolase were identified, which are likely involved in host adaptation and phage reproduction. Phylogenetic and comparative genomic analyses demonstrated that vB_PstS_ZQG1 exhibits low similarity with previously isolated phages or uncultured viruses (average nucleotide identity values range from 21.7 to 29.4), suggesting that it represents a novel viral genus by itself, here named as Fuevirus. Biogeographic analysis showed that vB_PstS_ZQG1 was only detected in epipelagic and mesopelagic zone with low abundance. In summary, our findings of the phage vB_PstS_ZQG1 will provide helpful insights for further research on the interactions between S. stutzeri phages and their hosts, and contribute to discovering unknown viral sequences in the metagenomic database.
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Affiliation(s)
- Fuyue Ge
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Ruizhe Guo
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Yantao Liang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China; UMT-OUC Joint Centre for Marine Studies, Qingdao, China.
| | - Ying Chen
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Hongbing Shao
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China; UMT-OUC Joint Centre for Marine Studies, Qingdao, China
| | - Yeong Yik Sung
- UMT-OUC Joint Centre for Marine Studies, Qingdao, China; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Wen Jye Mok
- UMT-OUC Joint Centre for Marine Studies, Qingdao, China; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Li Lian Wong
- UMT-OUC Joint Centre for Marine Studies, Qingdao, China; Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Andrew McMinn
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
| | - Min Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, MoE Laboratory of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China; UMT-OUC Joint Centre for Marine Studies, Qingdao, China; Haide College, Ocean University of China, Qingdao, China; The Affiliated Hospital of Qingdao University, Qingdao, China.
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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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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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46
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Hufsky F, Abecasis AB, Babaian A, Beck S, Brierley L, Dellicour S, Eggeling C, Elena SF, Gieraths U, Ha AD, Harvey W, Jones TC, Lamkiewicz K, Lovate GL, Lücking D, Machyna M, Nishimura L, Nocke MK, Renard BY, Sakaguchi S, Sakellaridi L, Spangenberg J, Tarradas-Alemany M, Triebel S, Vakulenko Y, Wijesekara RY, González-Candelas F, Krautwurst S, Pérez-Cataluña A, Randazzo W, Sánchez G, Marz M. The International Virus Bioinformatics Meeting 2023. Viruses 2023; 15:2031. [PMID: 37896809 PMCID: PMC10612056 DOI: 10.3390/v15102031] [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: 07/10/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 10/29/2023] Open
Abstract
The 2023 International Virus Bioinformatics Meeting was held in Valencia, Spain, from 24-26 May 2023, attracting approximately 180 participants worldwide. The primary objective of the conference was to establish a dynamic scientific environment conducive to discussion, collaboration, and the generation of novel research ideas. As the first in-person event following the SARS-CoV-2 pandemic, the meeting facilitated highly interactive exchanges among attendees. It served as a pivotal gathering for gaining insights into the current status of virus bioinformatics research and engaging with leading researchers and emerging scientists. The event comprised eight invited talks, 19 contributed talks, and 74 poster presentations across eleven sessions spanning three days. Topics covered included machine learning, bacteriophages, virus discovery, virus classification, virus visualization, viral infection, viromics, molecular epidemiology, phylodynamic analysis, RNA viruses, viral sequence analysis, viral surveillance, and metagenomics. This report provides rewritten abstracts of the presentations, a summary of the key research findings, and highlights shared during the meeting.
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Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Ana B. Abecasis
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal
| | - Artem Babaian
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Sebastian Beck
- Leibniz Institute of Virology, Department Viral Zoonoses—One Health, 20251 Hamburg, Germany;
| | - Liam Brierley
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Health Data Science, University of Liverpool, Liverpool L69 3GF, UK
| | - Simon Dellicour
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, CP160/12, 50 av. FD Roosevelt, 1050 Bruxelles, Belgium
- Laboratory for Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, University of Leuven, 3000 Leuven, Belgium
| | - Christian Eggeling
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Max-Wien-Platz 1, 07743 Jena, Germany
| | - Santiago F. Elena
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
| | - Udo Gieraths
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Anh D. Ha
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Will Harvey
- The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Terry C. Jones
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Gabriel L. Lovate
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Dominik Lücking
- Max-Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359 Bremen, Germany
| | - Martin Machyna
- Paul-Ehrlich-Institut, Host-Pathogen-Interactions, 63225 Langen, Germany
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Maximilian K. Nocke
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department for Molecular & Medical Virology, Ruhr University Bochum, 44801 Bochum, Germany
| | - Bernard Y. Renard
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany
| | - Shoichi Sakaguchi
- Department of Microbiology and Infection Control, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Osaka 569-8686, Japan;
| | - Lygeri Sakellaridi
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078 Würzburg, Germany
| | - Jannes Spangenberg
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Maria Tarradas-Alemany
- Computational Genomics Lab., Department of Genetics, Microbiology and Statistics, Institut de Biomedicina UB (IBUB), Universitat de Barcelona (UB), 08028 Barcelona, Spain
| | - Sandra Triebel
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Yulia Vakulenko
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - Rajitha Yasas Wijesekara
- Institute for Bioinformatics, University of Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475 Greifswald, Germany
| | - Fernando González-Candelas
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
- Joint Research Unit “Infection and Public Health” FISABIO, University of Valencia, 46010 Valencia, Spain
| | - Sarah Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Walter Randazzo
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Gloria Sánchez
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- Michael Stifel Center Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07745 Jena, Germany
- Leibniz Institute for Age Research—Fritz Lippman Institute, 07745 Jena, Germany
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47
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Camargo AP, Roux S, Schulz F, Babinski M, Xu Y, Hu B, Chain PSG, Nayfach S, Kyrpides NC. Identification of mobile genetic elements with geNomad. Nat Biotechnol 2023:10.1038/s41587-023-01953-y. [PMID: 37735266 DOI: 10.1038/s41587-023-01953-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/17/2023] [Indexed: 09/23/2023]
Abstract
Identifying and characterizing mobile genetic elements in sequencing data is essential for understanding their diversity, ecology, biotechnological applications and impact on public health. Here we introduce geNomad, a classification and annotation framework that combines information from gene content and a deep neural network to identify sequences of plasmids and viruses. geNomad uses a dataset of more than 200,000 marker protein profiles to provide functional gene annotation and taxonomic assignment of viral genomes. Using a conditional random field model, geNomad also detects proviruses integrated into host genomes with high precision. In benchmarks, geNomad achieved high classification performance for diverse plasmids and viruses (Matthews correlation coefficient of 77.8% and 95.3%, respectively), substantially outperforming other tools. Leveraging geNomad's speed and scalability, we processed over 2.7 trillion base pairs of sequencing data, leading to the discovery of millions of viruses and plasmids that are available through the IMG/VR and IMG/PR databases. geNomad is available at https://portal.nersc.gov/genomad .
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Affiliation(s)
- Antonio Pedro Camargo
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Frederik Schulz
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Michal Babinski
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Yan Xu
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Bin Hu
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Patrick S G Chain
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Stephen Nayfach
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Nikos C Kyrpides
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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48
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Fast and accurate identification of plasmids and viruses in sequencing data using geNomad. Nat Biotechnol 2023:10.1038/s41587-023-01982-7. [PMID: 37735268 DOI: 10.1038/s41587-023-01982-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
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49
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Su Y, Zhang W, Liang Y, Wang H, Liu Y, Zheng K, Liu Z, Yu H, Ren L, Shao H, Sung YY, Mok WJ, Wong LL, Zhang YZ, McMinn A, Wang M. Identification and genomic analysis of temperate Halomonas bacteriophage vB_HmeY_H4907 from the surface sediment of the Mariana Trench at a depth of 8,900 m. Microbiol Spectr 2023; 11:e0191223. [PMID: 37728551 PMCID: PMC10580944 DOI: 10.1128/spectrum.01912-23] [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: 05/06/2023] [Accepted: 08/04/2023] [Indexed: 09/21/2023] Open
Abstract
Viruses play crucial roles in the ecosystem by modulating the host community structure, mediating biogeochemical cycles, and compensating for the metabolism of host cells. Mariana Trench, the world's deepest hadal habitat, harbors a variety of unique microorganisms that have adapted to its extreme conditions of low temperatures, high pressure, and nutrient scarcity. However, our knowledge about isolated hadal phage strains in the hadal trench is still limited. This study reported the discovery of a temperate phage, vB_HmeY_H4907, infecting Halomonas meridiana H4907, isolated from surface sediment from the Mariana Trench at a depth of 8,900 m. To our best knowledge, it is the deepest isolated siphovirus from the ocean. Its 40,452 bp linear dsDNA genome has 57.64% GC content and 55 open reading frames, and it is highly homologous to its host. Phylogenetic analysis and average nucleotide sequence identification reveal that vB_HmeY_H4907 is separated from the isolated phages and represents a new family, Suviridae, with eight predicted proviruses and six uncultured viral genomes. They are widely distributed in the ocean, suggesting a prevalence of this viral family in the deep sea. These findings expand our understanding of the phylogenetic diversity and genomic features of hadal lysogenic phages, provide essential information for further studies of phage-host interactions and evolution, and may reveal new insights into the lysogenic lifestyles of viruses inhabiting the hadal ocean. IMPORTANCE Halomonas phage vB_HmeY_H4907 is the deepest isolated siphovirus from the ocean, and it represents a novel abundant viral family in the ocean. This study provides insights into the genomic, phylogenetic, and ecological characteristics of the new viral family, namely, Suviridae.
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Affiliation(s)
- Yue Su
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Wenjing Zhang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- School of Oceanography, Shanghai Jiao Tong University, Shanghai, China
| | - Yantao Liang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
| | - Hongmin Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Yundan Liu
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Kaiyang Zheng
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Ziqi Liu
- Department of Integrated Global Studies, School of Integrated Arts and Sciences, Hiroshima University, Hiroshima, Japan
| | - Hao Yu
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Linyi Ren
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
| | - Hongbing Shao
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
| | - Yeong Yik Sung
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
- Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Wen Jye Mok
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
- Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Li Lian Wong
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
- Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Yu-Zhong Zhang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- State Key Laboratory of Microbial Technology, Marine Biotechnology Research Center, Shandong University, Qingdao, China
| | - Andrew McMinn
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
| | - Min Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean, Center for Ocean Carbon Neutrality, Ocean University of China, Qingdao, China
- UMT-OUC Joint Academic Centre for Marine Studies, Qingdao, China
- Haide College, Ocean University of China, Qingdao, China
- The Affiliated Hospital of Qingdao University, Qingdao, China
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50
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Dikareva E, Matharu D, Lahtinen E, Kolho KL, De Vos WM, Salonen A, Ponsero AJ. An extended catalog of integrated prophages in the infant and adult fecal microbiome shows high prevalence of lysogeny. Front Microbiol 2023; 14:1254535. [PMID: 37731926 PMCID: PMC10508911 DOI: 10.3389/fmicb.2023.1254535] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/14/2023] [Indexed: 09/22/2023] Open
Abstract
Background and aims The acquisition and gradual maturation of gut microbial communities during early childhood is central to an individual's healthy development. Bacteriophages have the potential to shape the gut bacterial communities. However, the complex ecological interactions between phages and their bacterial host are still poorly characterized. In this study, we investigated the abundance and diversity of integrated prophages in infant and adult gut bacteria by detecting integrated prophages in metagenome assembled genomes (MAGs) of commensal bacteria. Methods Our study included 88 infants sampled at 3 weeks, 3 months, 6 months, and 12 months (n = 323 total samples), and their parents around delivery time (n = 138 total samples). Fecal DNA was extracted and characterized by using shotgun metagenomic sequencing, and a collection of prokaryotic MAGs was generated. The MAG collection was screened for the presence of integrated bacteriophage sequences, allowing their taxonomic and functional characterization. Results A large collection of 6,186 MAGs from infant and adult gut microbiota was obtained and screened for integrated prophages, allowing the identification of 7,165 prophage sequences longer than 10 kb. Strikingly, more than 70% of the near-complete MAGs were identified as lysogens. The prevalence of prophages in MAGs varied across bacterial families, with a lower prevalence observed among Coriobacteriaceae, Eggerthellaceae, Veillonellaceae and Burkholderiaceae, while a very high prevalence of lysogen MAGs were observed in Oscillospiraceae, Enterococcaceae, and Enterobacteriaceae. Interestingly for several bacterial families such as Bifidobacteriaceae and Bacteroidaceae, the prevalence of prophages in MAGs was higher in early infant time point (3 weeks and 3 months) than in later sampling points (6 and 12 months) and in adults. The prophage sequences were clustered into 5,616 species-like vOTUs, 77% of which were novel. Finally, we explored the functional repertoire of the potential auxiliary metabolic genes carried by these prophages, encoding functions involved in carbohydrate metabolism and degradation, amino acid metabolism and carbon metabolism. Conclusion Our study provides an enhanced understanding of the diversity and prevalence of lysogens in infant and adult gut microbiota and suggests a complex interplay between prophages and their bacterial hosts.
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Affiliation(s)
- Evgenia Dikareva
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Dollwin Matharu
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Emilia Lahtinen
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kaija-Leena Kolho
- Children's Hospital, Paediatric Research Centre, University of Helsinki and HUS, Helsinki, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Willem M. De Vos
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, Netherlands
| | - Anne Salonen
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Alise J. Ponsero
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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