1
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Michael-Pitschaze T, Cohen N, Ofer D, Hoshen Y, Linial M. Detecting anomalous proteins using deep representations. NAR Genom Bioinform 2024; 6:lqae021. [PMID: 38486884 PMCID: PMC10939404 DOI: 10.1093/nargab/lqae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 11/17/2023] [Accepted: 02/23/2024] [Indexed: 03/17/2024] Open
Abstract
Many advances in biomedicine can be attributed to identifying unusual proteins and genes. Many of these proteins' unique properties were discovered by manual inspection, which is becoming infeasible at the scale of modern protein datasets. Here, we propose to tackle this challenge using anomaly detection methods that automatically identify unexpected properties. We adopt a state-of-the-art anomaly detection paradigm from computer vision, to highlight unusual proteins. We generate meaningful representations without labeled inputs, using pretrained deep neural network models. We apply these protein language models (pLM) to detect anomalies in function, phylogenetic families, and segmentation tasks. We compute protein anomaly scores to highlight human prion-like proteins, distinguish viral proteins from their host proteome, and mark non-classical ion/metal binding proteins and enzymes. Other tasks concern segmentation of protein sequences into folded and unstructured regions. We provide candidates for rare functionality (e.g. prion proteins). Additionally, we show the anomaly score is useful in 3D folding-related segmentation. Our novel method shows improved performance over strong baselines and has objectively high performance across a variety of tasks. We conclude that the combination of pLM and anomaly detection techniques is a valid method for discovering a range of global and local protein characteristics.
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Affiliation(s)
- Tomer Michael-Pitschaze
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Niv Cohen
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dan Ofer
- Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yedid Hoshen
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michal Linial
- Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
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2
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Du Q, Peng F, Xiong Q, Xu K, Yang KY, Wang M, Wu Z, Li S, Cheng X, Rao X, Wang Y, Tsui SKW, Zeng X. Genomic Analysis of Amphioxus Reveals a Wide Range of Fragments Homologous to Viral Sequences. Viruses 2023; 15:v15040909. [PMID: 37112889 PMCID: PMC10145014 DOI: 10.3390/v15040909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/11/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023] Open
Abstract
Amphioxus species are considered living fossils and are important in the evolutionary study of chordates and vertebrates. To explore viral homologous sequences, a high-quality annotated genome of the Beihai amphioxus (Branchiostoma belcheri beihai) was examined using virus sequence queries. In this study, 347 homologous fragments (HFs) of viruses were identified in the genome of B. belcheri beihai, of which most were observed on 21 genome assembly scaffolds. HFs were preferentially located within protein-coding genes, particularly in their CDS regions and promoters. A range of amphioxus genes with a high frequency of HFs is proposed, including histone-related genes that are homologous to the Histone H4 or Histone H2B domains of viruses. Together, this comprehensive analysis of viral HFs provides insights into the neglected role of viral integration in the evolution of amphioxus.
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Affiliation(s)
- Qiao Du
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Fang Peng
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Qing Xiong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong, China
| | - Kejin Xu
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Kevin Yi Yang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong, China
| | - Mingqiang Wang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Zhitian Wu
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Shanying Li
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaorui Cheng
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xinjie Rao
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Yuyouye Wang
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Stephen Kwok-Wing Tsui
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong, China
| | - Xi Zeng
- Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
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3
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Brennan G, Stoian AMM, Yu H, Rahman MJ, Banerjee S, Stroup JN, Park C, Tazi L, Rothenburg S. Molecular Mechanisms of Poxvirus Evolution. mBio 2023; 14:e0152622. [PMID: 36515529 PMCID: PMC9973261 DOI: 10.1128/mbio.01526-22] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Poxviruses are often thought to evolve relatively slowly because they are double-stranded DNA pathogens with proofreading polymerases. However, poxviruses have highly adaptable genomes and can undergo relatively rapid genotypic and phenotypic change, as illustrated by the recent increase in human-to-human transmission of monkeypox virus. Advances in deep sequencing technologies have demonstrated standing nucleotide variation in poxvirus populations, which has been underappreciated. There is also an emerging understanding of the role genomic architectural changes play in shaping poxvirus evolution. These mechanisms include homologous and nonhomologous recombination, gene duplications, gene loss, and the acquisition of new genes through horizontal gene transfer. In this review, we discuss these evolutionary mechanisms and their potential roles for adaption to novel host species and modulating virulence.
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Affiliation(s)
- Greg Brennan
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Ana M. M. Stoian
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Huibin Yu
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - M. Julhasur Rahman
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Shefali Banerjee
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Jeannine N. Stroup
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Chorong Park
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Loubna Tazi
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
| | - Stefan Rothenburg
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, California, USA
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4
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Phothichaisri W, Chankhamhaengdecha S, Janvilisri T, Nuadthaisong J, Phetruen T, Fagan RP, Chanarat S. Potential Role of the Host-Derived Cell-Wall Binding Domain of Endolysin CD16/50L as a Molecular Anchor in Preservation of Uninfected Clostridioides difficile for New Rounds of Phage Infection. Microbiol Spectr 2022; 10:e0236121. [PMID: 35377223 PMCID: PMC9045149 DOI: 10.1128/spectrum.02361-21] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/20/2022] [Indexed: 01/21/2023] Open
Abstract
Endolysin is a phage-encoded cell-wall hydrolase which degrades the peptidoglycan layer of the bacterial cell wall. The enzyme is often expressed at the late stage of the phage lytic cycle and is required for progeny escape. Endolysins of bacteriophage that infect Gram-positive bacteria often comprises two domains: a peptidoglycan hydrolase and a cell-wall binding domain (CBD). Although the catalytic domain of endolysin is relatively well-studied, the precise role of CBD is ambiguous and remains controversial. Here, we focus on the function of endolysin CBD from a recently isolated Clostridioides difficile phage. We found that the CBD is not required for lytic activity, which is strongly prevented by the surface layer of C. difficile. Intriguingly, hidden Markov model analysis suggested that the endolysin CBD is likely derived from the CWB2 motif of C. difficile cell-wall proteins but possesses a higher binding affinity to bacterial cell-wall polysaccharides. Moreover, the CBD forms a homodimer, formation of which is necessary for interaction with the surface saccharides. Importantly, endolysin diffusion and sequential cytolytic assays showed that CBD of endolysin is required for the enzyme to be anchored to post-lytic cell-wall remnants, suggesting its physiological roles in limiting diffusion of the enzyme, preserving neighboring host cells, and thereby enabling the phage progeny to initiate new rounds of infection. Taken together, this study provides an insight into regulation of endolysin through CBD and can potentially be applied for endolysin treatment against C. difficile infection. IMPORTANCE Endolysin is a peptidoglycan hydrolase encoded in a phage genome. The enzyme is attractive due to its potential use as antibacterial treatment. To utilize endolysin for the therapeutic propose, understanding of the fundamental role of endolysin becomes important. Here, we investigate the function of cell-wall binding domain (CBD) of an endolysin from a C. difficile phage. The domain is homologous to a cell-wall associating module of bacterial cell-wall proteins, likely acquired during phage-host coevolution. The interaction of CBD to bacterial cell walls reduces enzyme diffusion and thereby limits cell lysis of the neighboring bacteria. Our findings indicate that the endolysin is trapped to the cell-wall residuals through CBD and might serve as an advantage for phage replication. Thus, employing a CBD-less endolysin might be a feasible strategy for using endolysin for the treatment of C. difficile infection.
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Affiliation(s)
- Wichuda Phothichaisri
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | | | - Tavan Janvilisri
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Jirayu Nuadthaisong
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Tanaporn Phetruen
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Robert P. Fagan
- School of Biosciences, Florey Institute, University of Sheffield, Sheffield, United Kingdom
| | - Sittinan Chanarat
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
- Laboratory of Molecular Cell Biology, Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok, Thailand
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5
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Liu S, Sappington TW, Coates BS, Bonning BC. Sequences Encoding a Novel Toursvirus Identified from Southern and Northern Corn Rootworms (Coleoptera: Chrysomelidae). Viruses 2022; 14:v14020397. [PMID: 35215990 PMCID: PMC8879594 DOI: 10.3390/v14020397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 02/07/2022] [Indexed: 02/05/2023] Open
Abstract
Sequences derived from a novel toursvirus were identified from pooled genomic short read data from U.S. populations of southern corn rootworm (SCR, Diabrotica undecimpunctata howardi Barber) and northern corn rootworm (NCR, Diabrotica barberi Smith & Lawrence). Most viral sequences were identified from the SCR genomic dataset. As proteins encoded by toursvirus sequences from SCR and NCR were almost identical, the contig sets from SCR and NCR were combined to generate 26 contigs. A total of 108,176 bp were assembled from these contigs, with 120 putative toursviral ORFs identified indicating that most of the viral genome had been recovered. These ORFs included all 40 genes that are common to members of the Ascoviridae. Two genes typically present in Ascoviridae (ATP binding cassette transport system permeases and Baculovirus repeated open reading frame), were not detected. There was evidence for transposon insertion in viral sequences at different sites in the two host species. Phylogenetic analyses based on a concatenated set of 45 translated protein sequences clustered toursviruses into a distinct clade. Based on the combined evidence, we propose taxonomic separation of toursviruses from Ascoviridae.
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Affiliation(s)
- Sijun Liu
- Department of Entomology, Iowa State University, Ames, IA 50011, USA;
| | - Thomas W. Sappington
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA 50011, USA; (T.W.S.); (B.S.C.)
| | - Brad S. Coates
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA 50011, USA; (T.W.S.); (B.S.C.)
| | - Bryony C. Bonning
- Department of Entomology and Nematology, University of Florida, Gainesville, FL 32611, USA
- Correspondence:
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6
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Stolz ML, McCormick C. The bZIP Proteins of Oncogenic Viruses. Viruses 2020; 12:v12070757. [PMID: 32674309 PMCID: PMC7412551 DOI: 10.3390/v12070757] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 07/08/2020] [Accepted: 07/13/2020] [Indexed: 12/20/2022] Open
Abstract
Basic leucine zipper (bZIP) transcription factors (TFs) govern diverse cellular processes and cell fate decisions. The hallmark of the leucine zipper domain is the heptad repeat, with leucine residues at every seventh position in the domain. These leucine residues enable homo- and heterodimerization between ZIP domain α-helices, generating coiled-coil structures that stabilize interactions between adjacent DNA-binding domains and target DNA substrates. Several cancer-causing viruses encode viral bZIP TFs, including human T-cell leukemia virus (HTLV), hepatitis C virus (HCV) and the herpesviruses Marek’s disease virus (MDV), Epstein–Barr virus (EBV) and Kaposi’s sarcoma-associated herpesvirus (KSHV). Here, we provide a comprehensive review of these viral bZIP TFs and their impact on viral replication, host cell responses and cell fate.
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7
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Medvedev KE, Kinch LN, Grishin NV. Functional and evolutionary analysis of viral proteins containing a Rossmann-like fold. Protein Sci 2018; 27:1450-1463. [PMID: 29722076 PMCID: PMC6153405 DOI: 10.1002/pro.3438] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 04/30/2018] [Accepted: 05/01/2018] [Indexed: 11/17/2022]
Abstract
Viruses are the most abundant life form and infect practically all organisms. Consequently, these obligate parasites are a major cause of human suffering and economic loss. Rossmann-like fold is the most populated fold among α/β-folds in the Protein Data Bank and proteins containing Rossmann-like fold constitute 22% of all known proteins 3D structures. Thus, analysis of viral proteins containing Rossmann-like domains could provide an understanding of viral biology and evolution as well as could propose possible targets for antiviral therapy. We provide functional and evolutionary analysis of viral proteins containing a Rossmann-like fold found in the evolutionary classification of protein domains (ECOD) database developed in our lab. We identified 81 protein families of bacterial, archeal, and eukaryotic viruses in light of their evolution-based ECOD classification and Pfam taxonomy. We defined their functional significance using enzymatic EC number assignments as well as domain-level family annotations.
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Affiliation(s)
- Kirill E. Medvedev
- Departments of Biophysics and BiochemistryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Lisa N. Kinch
- Howard Hughes Medical Institute, University of Texas Southwestern Medical CenterDallasTexas
| | - Nick V. Grishin
- Departments of Biophysics and BiochemistryUniversity of Texas Southwestern Medical CenterDallasTexas
- Howard Hughes Medical Institute, University of Texas Southwestern Medical CenterDallasTexas
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8
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A virus-acquired host cytokine controls systemic aging by antagonizing apoptosis. PLoS Biol 2018; 16:e2005796. [PMID: 30036358 PMCID: PMC6072105 DOI: 10.1371/journal.pbio.2005796] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 08/02/2018] [Accepted: 07/11/2018] [Indexed: 12/31/2022] Open
Abstract
Aging is characterized by degeneration of unique tissues. However, dissecting the interconnectedness of tissue aging remains a challenge. Here, we employ a muscle-specific DNA damage model in Drosophila to reveal secreted factors that influence systemic aging in distal tissues. Utilizing this model, we uncovered a cytokine—Diedel—that, when secreted from muscle or adipose, can attenuate age-related intestinal tissue degeneration by promoting proliferative homeostasis of stem cells. Diedel is both necessary and sufficient to limit tissue degeneration and regulate lifespan. Secreted homologs of Diedel are also found in viruses, having been acquired from host genomes. Focusing on potential mechanistic overlap between cellular aging and viral-host cell interactions, we found that Diedel is an inhibitor of apoptosis and can act as a systemic rheostat to modulate cell death during aging. These results highlight a key role for secreted antagonists of apoptosis in the systemic coordination of tissue aging. Aging in multicellular organisms is characterized by a progressive decline in the proper function of organs. This deterioration of organ function is a risk factor for many diseases. However, it is unlikely that organs age in isolation, as damage in one organ can presumably impact aging of other organs through either beneficial or detrimental cross-talk. Our work attempts to explore this aspect of aging using fruit flies as a model system. We uncovered that damaged fly muscle can protect against aging in other organs, such as the intestine, through the secretion of a blood-borne factor named Diedel. This blood-borne factor presumably allows damaged organs to communicate with each other during aging. Related factors are also found in certain viruses, which have been hijacked from insect genomes to promote viral spreading during infection. Using this information, we found that viral Diedel inhibits death of infected cells, allowing viruses to spread. Similarly, host (insect) Diedel also blocks cell death in organs during aging, thus limiting deterioration of organ function and extending the organism’s lifespan.
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9
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Breitbart M, Bonnain C, Malki K, Sawaya NA. Phage puppet masters of the marine microbial realm. Nat Microbiol 2018; 3:754-766. [PMID: 29867096 DOI: 10.1038/s41564-018-0166-y] [Citation(s) in RCA: 370] [Impact Index Per Article: 52.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 04/20/2018] [Indexed: 11/09/2022]
Abstract
Viruses numerically dominate our oceans; however, we have only just begun to document the diversity, host range and infection dynamics of marine viruses, as well as the subsequent effects of infection on both host cell metabolism and oceanic biogeochemistry. Bacteriophages (that is, phages: viruses that infect bacteria) are highly abundant and are known to play critical roles in bacterial mortality, biogeochemical cycling and horizontal gene transfer. This Review Article summarizes current knowledge of marine viral ecology and highlights the importance of phage particles to the dissolved organic matter pool, as well as the complex interactions between phages and their bacterial hosts. We emphasize the newly recognized roles of phages as puppet masters of their bacterial hosts, where phages are capable of altering the metabolism of infected bacteria through the expression of auxiliary metabolic genes and the redirection of host gene expression patterns. Finally, we propose the 'royal family model' as a hypothesis to describe successional patterns of bacteria and phages over time in marine systems, where despite high richness and significant seasonal differences, only a small number of phages appear to continually dominate a given marine ecosystem. Although further testing is required, this model provides a framework for assessing the specificity and ecological consequences of phage-host dynamics.
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Affiliation(s)
- Mya Breitbart
- College of Marine Science, University of South Florida, Saint Petersburg, FL, USA.
| | - Chelsea Bonnain
- College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
| | - Kema Malki
- College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
| | - Natalie A Sawaya
- College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
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10
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Impacts of Genome-Wide Analyses on Our Understanding of Human Herpesvirus Diversity and Evolution. J Virol 2017; 92:JVI.00908-17. [PMID: 29046445 PMCID: PMC5730764 DOI: 10.1128/jvi.00908-17] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Until fairly recently, genome-wide evolutionary dynamics and within-host diversity were more commonly examined in the context of small viruses than in the context of large double-stranded DNA viruses such as herpesviruses. The high mutation rates and more compact genomes of RNA viruses have inspired the investigation of population dynamics for these species, and recent data now suggest that herpesviruses might also be considered candidates for population modeling. High-throughput sequencing (HTS) and bioinformatics have expanded our understanding of herpesviruses through genome-wide comparisons of sequence diversity, recombination, allele frequency, and selective pressures. Here we discuss recent data on the mechanisms that generate herpesvirus genomic diversity and underlie the evolution of these virus families. We focus on human herpesviruses, with key insights drawn from veterinary herpesviruses and other large DNA virus families. We consider the impacts of cell culture on herpesvirus genomes and how to accurately describe the viral populations under study. The need for a strong foundation of high-quality genomes is also discussed, since it underlies all secondary genomic analyses such as RNA sequencing (RNA-Seq), chromatin immunoprecipitation, and ribosome profiling. Areas where we foresee future progress, such as the linking of viral genetic differences to phenotypic or clinical outcomes, are highlighted as well.
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11
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Malik SS, Azem-E-Zahra S, Kim KM, Caetano-Anollés G, Nasir A. Do Viruses Exchange Genes across Superkingdoms of Life? Front Microbiol 2017; 8:2110. [PMID: 29163404 PMCID: PMC5671483 DOI: 10.3389/fmicb.2017.02110] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 10/16/2017] [Indexed: 12/13/2022] Open
Abstract
Viruses can be classified into archaeoviruses, bacterioviruses, and eukaryoviruses according to the taxonomy of the infected host. The host-constrained perception of viruses implies preference of genetic exchange between viruses and cellular organisms of their host superkingdoms and viral origins from host cells either via escape or reduction. However, viruses frequently establish non-lytic interactions with organisms and endogenize into the genomes of bacterial endosymbionts that reside in eukaryotic cells. Such interactions create opportunities for genetic exchange between viruses and organisms of non-host superkingdoms. Here, we take an atypical approach to revisit virus-cell interactions by first identifying protein fold structures in the proteomes of archaeoviruses, bacterioviruses, and eukaryoviruses and second by tracing their spread in the proteomes of superkingdoms Archaea, Bacteria, and Eukarya. The exercise quantified protein structural homologies between viruses and organisms of their host and non-host superkingdoms and revealed likely candidates for virus-to-cell and cell-to-virus gene transfers. Unexpected lifestyle-driven genetic affiliations between bacterioviruses and Eukarya and eukaryoviruses and Bacteria were also predicted in addition to a large cohort of protein folds that were universally shared by viral and cellular proteomes and virus-specific protein folds not detected in cellular proteomes. These protein folds provide unique insights into viral origins and evolution that are generally difficult to recover with traditional sequence alignment-dependent evolutionary analyses owing to the fast mutation rates of viral gene sequences.
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Affiliation(s)
- Shahana S Malik
- Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan
| | - Syeda Azem-E-Zahra
- Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan
| | - Kyung Mo Kim
- Division of Polar Life Sciences, Korea Polar Research Institute, Incheon, South Korea
| | - Gustavo Caetano-Anollés
- Evolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Arshan Nasir
- Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan.,Evolutionary Bioinformatics Laboratory, Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
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12
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de Miranda JR, Hedman H, Onorati P, Stephan J, Karlberg O, Bylund H, Terenius O. Characterization of a Novel RNA Virus Discovered in the Autumnal Moth Epirrita autumnata in Sweden. Viruses 2017. [PMCID: PMC5580471 DOI: 10.3390/v9080214] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
A novel, 10 kb RNA virus—tentatively named ‘Abisko virus’—was discovered in the transcriptome data of a diseased autumnal moth (Epirrita autumnata) larva, as part of a search for the possible causes of the cyclical nature and mortality associated with geometrid moth dynamics and outbreaks in northern Fennoscandia. Abisko virus has a genome organization similar to that of the insect-infecting negeviruses, but phylogenetic and compositional bias analyses also reveal strong affiliations with plant-infecting viruses, such that both the primary host origin and taxonomic identity of the virus remain in doubt. In an extensive set of larval, pupal, and adult autumnal moth and winter moth (Operophtera brumata) outbreak samples, the virus was only detected in a few adult E. autumnata moths as well as the single larval transcriptome. The Abisko virus is therefore unlikely to be a factor in the Fennoscandia geometrid population dynamics.
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Affiliation(s)
- Joachim R. de Miranda
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
- Correspondence: ; Tel.: +46-18-67-2437
| | - Harald Hedman
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
| | - Piero Onorati
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
| | - Jörg Stephan
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
| | - Olof Karlberg
- Department of Medical Sciences, Uppsala University, 751-85 Uppsala, Sweden;
| | - Helena Bylund
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
| | - Olle Terenius
- Department of Ecology, Swedish University of Agricultural Sciences, 750-07 Uppsala, Sweden; (H.H.); (P.O.); (J.S.); (H.B.); (O.T.)
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13
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Nonstructural Protein L* Species Specificity Supports a Mouse Origin for Vilyuisk Human Encephalitis Virus. J Virol 2017; 91:JVI.00573-17. [PMID: 28446680 DOI: 10.1128/jvi.00573-17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 04/21/2017] [Indexed: 11/20/2022] Open
Abstract
Vilyuisk human encephalitis virus (VHEV) is a picornavirus related to Theiler's murine encephalomyelitis virus (TMEV). VHEV was isolated from human material passaged in mice. Whether this VHEV is of human or mouse origin is therefore unclear. We took advantage of the species-specific activity of the nonstructural L* protein of theiloviruses to track the origin of TMEV isolates. TMEV L* inhibits RNase L, the effector enzyme of the interferon pathway. By using coimmunoprecipitation and functional RNase L assays, the species specificity of RNase L antagonism was tested for L* from mouse (DA) and rat (RTV-1) TMEV strains as well as for VHEV. Coimmunoprecipitation and functional assay data confirmed the species specificity of L* activity and showed that L* from rat strain RTV-1 inhibited rat but not mouse or human RNase L. Next, we showed that the VHEV L* protein was phylogenetically related to L* of mouse viruses and that it failed to inhibit human RNase L but readily antagonized mouse RNase L, unambiguously showing the mouse origin of VHEV.IMPORTANCE Defining the natural host of a virus can be a thorny issue, especially when the virus was isolated only once or when the isolation story is complex. The species Theilovirus includes Theiler's murine encephalomyelitis virus (TMEV), infecting mice and rats, and Saffold virus (SAFV), infecting humans. One TMEV strain, Vilyuisk human encephalitis virus (VHEV), however, was isolated from mice that were inoculated with cerebrospinal fluid of a patient presenting with chronic encephalitis. It is therefore unclear whether VHEV was derived from the human sample or from the inoculated mouse. The L* protein encoded by TMEV inhibits RNase L, a cellular enzyme involved in innate immunity, in a species-specific manner. Using binding and functional assays, we show that this species specificity even allows discrimination between TMEV strains of mouse and of rat origins. The VHEV L* protein clearly inhibited mouse but not human RNase L, indicating that this virus originates from mice.
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Valk V, Kaaij RMVD, Dijkhuizen L. The evolutionary origin and possible functional roles of FNIII domains in two Microbacterium aurum B8.A granular starch degrading enzymes, and in other carbohydrate acting enzymes. ACTA ACUST UNITED AC 2017. [DOI: 10.1515/amylase-2017-0001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractFibronectin type III (FNIII) domains were first identified in the eukaryotic plasma protein fibronectin, where they act as structural spacers or enable protein-protein interactions. Recently we characterized two large and multi-domain amylases in Microbacterium aurum B8.A that both carry multiple FNIII and carbohydrate binding modules (CBMs). The role of (multiple) FNIII domains in such carbohydrate acting enzymes is currently unclear. Four hypothetical functions are considered here: a substrate surface disruption domain, a carbohydrate binding module, as a stable linker, or enabling protein-protein interactions. We performed a phylogenetic analysis of all FNIII domains identified in proteins listed in the CAZy database. These data clearly show that the FNIII domains in eukaryotic and archaeal CAZy proteins are of bacterial origin and also provides examples of interkingdom gene transfer from Bacteria to Archaea and Eucarya. FNIII domains occur in a wide variety of CAZy enzymes acting on many different substrates, suggesting that they have a non-specific role in these proteins. While CBM domains are mostly found at protein termini, FNIII domains are commonly located between other protein domains. FNIII domains in carbohydrate acting enzymes thus may function mainly as stable linkers to allow optimal positioning and/or flexibility of the catalytic domain and other domains, such as CBM.
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Saha D, Podder S, Ghosh TC. Overlapping Regions in HIV-1 Genome Act as Potential Sites for Host-Virus Interaction. Front Microbiol 2016; 7:1735. [PMID: 27867372 PMCID: PMC5095123 DOI: 10.3389/fmicb.2016.01735] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 10/17/2016] [Indexed: 01/05/2023] Open
Abstract
More than a decade, overlapping genes in RNA viruses became a subject of research which has explored various effect of gene overlapping on the evolution and function of viral genomes like genome size compaction. Additionally, overlapping regions (OVRs) are also reported to encode elevated degree of protein intrinsic disorder (PID) in unspliced RNA viruses. With the aim to explore the roles of OVRs in HIV-1 pathogenesis, we have carried out an in-depth analysis on the association of gene overlapping with PID in 35 HIV1- M subtypes. Our study reveals an over representation of PID in OVR of HIV-1 genomes. These disordered residues endure several vital, structural features like short linear motifs (SLiMs) and protein phosphorylation (PP) sites which are previously shown to be involved in massive host–virus interaction. Moreover, SLiMs in OVRs are noticed to be more functionally potential as compared to that of non-overlapping region. Although, density of experimentally verified SLiMs, resided in 9 HIV-1 genes, involved in host–virus interaction do not show any bias toward clustering into OVR, tat and rev two important proteins mediates host–pathogen interaction by their experimentally verified SLiMs, which are mostly localized in OVR. Finally, our analysis suggests that the acquisition of SLiMs in OVR is mutually exclusive of the occurrence of disordered residues, while the enrichment of PPs in OVR is solely dependent on PID and not on overlapping coding frames. Thus, OVRs of HIV-1 genomes could be demarcated as potential molecular recognition sites during host–virus interaction.
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Affiliation(s)
- Deeya Saha
- Bioinformatics Centre, Bose Institute Kolkata, India
| | - Soumita Podder
- Department of Microbiology, Raiganj University Raiganj, India
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Eukaryotic association module in phage WO genomes from Wolbachia. Nat Commun 2016; 7:13155. [PMID: 27727237 PMCID: PMC5062602 DOI: 10.1038/ncomms13155] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 09/08/2016] [Indexed: 01/13/2023] Open
Abstract
Viruses are trifurcated into eukaryotic, archaeal and bacterial categories. This domain-specific ecology underscores why eukaryotic viruses typically co-opt eukaryotic genes and bacteriophages commonly harbour bacterial genes. However, the presence of bacteriophages in obligate intracellular bacteria of eukaryotes may promote DNA transfers between eukaryotes and bacteriophages. Here we report a metagenomic analysis of purified bacteriophage WO particles of Wolbachia and uncover a eukaryotic association module in the complete WO genome. It harbours predicted domains, such as the black widow latrotoxin C-terminal domain, that are uninterrupted in bacteriophage genomes, enriched with eukaryotic protease cleavage sites and combined with additional domains to forge one of the largest bacteriophage genes to date (14,256 bp). To the best of our knowledge, these eukaryotic-like domains have never before been reported in packaged bacteriophages and their phylogeny, distribution and sequence diversity imply lateral transfers between bacteriophage/prophage and animal genomes. Finally, the WO genome sequences and identification of attachment sites will potentially advance genetic manipulation of Wolbachia. Viruses commonly exchange genetic material with their hosts, but not with species from other domains of life. Here, the authors find that the bacteriophage WO of Wolbachia contains eukaryotic-like genes, implicating lateral genetic transfer between eukaryotes and viruses infecting bacteria.
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Sen R, Nayak L, De RK. A review on host-pathogen interactions: classification and prediction. Eur J Clin Microbiol Infect Dis 2016; 35:1581-99. [PMID: 27470504 DOI: 10.1007/s10096-016-2716-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 06/22/2016] [Indexed: 01/01/2023]
Abstract
The research on host-pathogen interactions is an ever-emerging and evolving field. Every other day a new pathogen gets discovered, along with comes the challenge of its prevention and cure. As the intelligent human always vies for prevention, which is better than cure, understanding the mechanisms of host-pathogen interactions gets prior importance. There are many mechanisms involved from the pathogen as well as the host sides while an interaction happens. It is a vis-a-vis fight of the counter genes and proteins from both sides. Who wins depends on whether a host gets an infection or not. Moreover, a higher level of complexity arises when the pathogens evolve and become resistant to a host's defense mechanisms. Such pathogens pose serious challenges for treatment. The entire human population is in danger of such long-lasting persistent infections. Some of these infections even increase the rate of mortality. Hence there is an immediate emergency to understand how the pathogens interact with their host for successful invasion. It may lead to discovery of appropriate preventive measures, and the development of rational therapeutic measures and medication against such infections and diseases. This review, a state-of-the-art updated scenario of host-pathogen interaction research, has been done by keeping in mind this urgency. It covers the biological and computational aspects of host-pathogen interactions, classification of the methods by which the pathogens interact with their hosts, different machine learning techniques for prediction of host-pathogen interactions, and future scopes of this research field.
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Affiliation(s)
- R Sen
- Machine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India
| | - L Nayak
- Machine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India
| | - R K De
- Machine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India.
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Brandes N, Linial M. Gene overlapping and size constraints in the viral world. Biol Direct 2016; 11:26. [PMID: 27209091 PMCID: PMC4875738 DOI: 10.1186/s13062-016-0128-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 05/06/2016] [Indexed: 12/19/2022] Open
Abstract
Background Viruses are the simplest replicating units, characterized by a limited number of coding genes and an exceptionally high rate of overlapping genes. We sought a unified evolutionary explanation that accounts for their genome sizes, gene overlapping and capsid properties. Results We performed an unbiased statistical analysis of ~100 families within ~400 genera that comprise the currently known viral world. We found that the volume utilization of capsids is often low, and greatly varies among viral families. Furthermore, although viruses span three orders of magnitude in genome length, they almost never have over 1500 overlapping nucleotides, or over four significantly overlapping genes per virus. Conclusions Our findings undermine the generality of the compression theory, which emphasizes optimal packing and length dependency to explain overlapping genes and capsid size in viral genomes. Instead, we propose that gene novelty and evolution exploration offer better explanations to size constraints and gene overlapping in all viruses. Reviewers This article was reviewed by Arne Elofsson and David Kreil. Electronic supplementary material The online version of this article (doi:10.1186/s13062-016-0128-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nadav Brandes
- Einstein Institute of Mathematics, The Edmond J. Safra Campus, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michal Linial
- Department of Biological Chemistry, Room A-530, Institute of Life Sciences, The Edmond J. Safra Campus, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
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Durzyńska J, Goździcka-Józefiak A. Viruses and cells intertwined since the dawn of evolution. Virol J 2015; 12:169. [PMID: 26475454 PMCID: PMC4609113 DOI: 10.1186/s12985-015-0400-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 10/07/2015] [Indexed: 12/24/2022] Open
Abstract
Many attempts have been made to define nature of viruses and to uncover their origin. Our aim within this work was to show that there are different perceptions of viruses and many concepts to explain their emergence: the virus-first concept (also called co-evolution), the escape and the reduction theories. Moreover, a relatively new concept of polyphyletic virus origin called “three RNA cells, three DNA viruses” proposed by Forterre is described herein. In this paper, not only is each thesis supported by a body of evidence but also counter-argued in the light of various findings to give more insightful considerations to the readers. As the origin of viruses and that of living cells are most probably interdependent, we decided to reveal ideas concerning nature of cellular last universal common ancestor (LUCA). Furthermore, we discuss monophyletic ancestry of cellular domains and their relationships at the molecular level of membrane lipids and replication strategies of these three types of cells. In this review, we also present the emergence of DNA viruses requiring an evolutionary transition from RNA to DNA and recently discovered giant DNA viruses possibly involved in eukaryogenesis. In the course of evolution viruses emerged many times. They have always played a key role through horizontal gene transfer in evolutionary events and in formation of the tree of life or netlike routes of evolution providing a great deal of genetic diversity. In our opinion, future findings are crucial to better understand past relations between viruses and cells and the origin of both.
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Affiliation(s)
- Julia Durzyńska
- Department of Molecular Virology, Institute of Experimental Biology, Faculty of Biology, A. Mickiewicz University, ul. Umultowska 89, 61-614, Poznań, Poland.
| | - Anna Goździcka-Józefiak
- Department of Molecular Virology, Institute of Experimental Biology, Faculty of Biology, A. Mickiewicz University, ul. Umultowska 89, 61-614, Poznań, Poland
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Freire JM, Santos NC, Veiga AS, Da Poian AT, Castanho MARB. Rethinking the capsid proteins of enveloped viruses: multifunctionality from genome packaging to genome transfection. FEBS J 2015; 282:2267-78. [DOI: 10.1111/febs.13274] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 03/05/2015] [Accepted: 03/17/2015] [Indexed: 11/29/2022]
Affiliation(s)
- João M. Freire
- Instituto de Medicina Molecular; Faculdade de Medicina; Universidade de Lisboa; Lisbon Portugal
| | - Nuno C. Santos
- Instituto de Medicina Molecular; Faculdade de Medicina; Universidade de Lisboa; Lisbon Portugal
| | - Ana Salomé Veiga
- Instituto de Medicina Molecular; Faculdade de Medicina; Universidade de Lisboa; Lisbon Portugal
| | - Andrea T. Da Poian
- Instituto de Bioquímica Médica Leopoldo de Meis; Universidade Federal do Rio de Janeiro; Rio de Janeiro Brazil
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Enav H, Mandel-Gutfreund Y, Béjà O. Comparative metagenomic analyses reveal viral-induced shifts of host metabolism towards nucleotide biosynthesis. MICROBIOME 2014; 2:9. [PMID: 24666644 PMCID: PMC4022391 DOI: 10.1186/2049-2618-2-9] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Accepted: 02/13/2014] [Indexed: 05/04/2023]
Abstract
BACKGROUND Viral genomes often contain metabolic genes that were acquired from host genomes (auxiliary genes). It is assumed that these genes are fixed in viral genomes as a result of a selective force, favoring viruses that acquire specific metabolic functions. While many individual auxiliary genes were observed in viral genomes and metagenomes, there is great importance in investigating the abundance of auxiliary genes and metabolic functions in the marine environment towards a better understanding of their role in promoting viral reproduction. RESULTS In this study, we searched for enriched viral auxiliary genes and mapped them to metabolic pathways. To initially identify enriched auxiliary genes, we analyzed metagenomic microbial reads from the Global Ocean Survey (GOS) dataset that were characterized as viral, as well as marine virome and microbiome datasets from the Line Islands. Viral-enriched genes were mapped to a "global metabolism network" that comprises all KEGG metabolic pathways. Our analysis of the viral-enriched pathways revealed that purine and pyrimidine metabolism pathways are among the most enriched pathways. Moreover, many other viral-enriched metabolic pathways were found to be closely associated with the purine and pyrimidine metabolism pathways. Furthermore, we observed that sequential reactions are promoted in pathways having a high proportion of enriched genes. In addition, these enriched genes were found to be of modular nature, participating in several pathways. CONCLUSIONS Our naïve metagenomic analyses strongly support the well-established notion that viral auxiliary genes promote viral replication via both degradation of host DNA and RNA as well as a shift of the host metabolism towards nucleotide biosynthesis, clearly indicating that comparative metagenomics can be used to understand different environments and systems without prior knowledge of pathways involved.
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Affiliation(s)
- Hagay Enav
- Faculty of Biology, Technion Israel Institute of Technology, Haifa 32000, Israel
| | | | - Oded Béjà
- Faculty of Biology, Technion Israel Institute of Technology, Haifa 32000, Israel
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Abstract
Molecular mimicry of host proteins is a common strategy adopted by bacterial pathogens to interfere with and exploit host processes. Despite the availability of pathogen genomes, few studies have attempted to predict virulence-associated mimicry relationships directly from genomic sequences. Here, we analyzed the proteomes of 62 pathogenic and 66 non-pathogenic bacterial species, and screened for the top pathogen-specific or pathogen-enriched sequence similarities to human proteins. The screen identified approximately 100 potential mimicry relationships including well-characterized examples among the top-scoring hits (e.g., RalF, internalin, yopH, and others), with about 1/3 of predicted relationships supported by existing literature. Examination of homology to virulence factors, statistically enriched functions, and comparison with literature indicated that the detected mimics target key host structures (e.g., extracellular matrix, ECM) and pathways (e.g., cell adhesion, lipid metabolism, and immune signaling). The top-scoring and most widespread mimicry pattern detected among pathogens consisted of elevated sequence similarities to ECM proteins including collagens and leucine-rich repeat proteins. Unexpectedly, analysis of the pathogen counterparts of these proteins revealed that they have evolved independently in different species of bacterial pathogens from separate repeat amplifications. Thus, our analysis provides evidence for two classes of mimics: complex proteins such as enzymes that have been acquired by eukaryote-to-pathogen horizontal transfer, and simpler repeat proteins that have independently evolved to mimic the host ECM. Ultimately, computational detection of pathogen-specific and pathogen-enriched similarities to host proteins provides insights into potentially novel mimicry-mediated virulence mechanisms of pathogenic bacteria.
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Affiliation(s)
- Andrew C Doxey
- Department of Biology, University of Waterloo, Waterloo, ON, Canada.
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Abstract
Cnidaria is a rich phylum that includes thousands of marine species. In this study, we focused on Anthozoa and Hydrozoa that are represented by the Nematostella vectensis (Sea anemone) and Hydra magnipapillata genomes. We present a method for ranking the toxin-like candidates from complete proteomes of Cnidaria. Toxin-like functions were revealed using ClanTox, a statistical machine-learning predictor trained on ion channel inhibitors from venomous animals. Fundamental features that were emphasized in training ClanTox include cysteines and their spacing along the sequences. Among the 83,000 proteins derived from Cnidaria representatives, we found 170 candidates that fulfill the properties of toxin-like-proteins, the vast majority of which were previously unrecognized as toxins. An additional 394 short proteins exhibit characteristics of toxin-like proteins at a moderate degree of confidence. Remarkably, only 11% of the predicted toxin-like proteins were previously classified as toxins. Based on our prediction methodology and manual annotation, we inferred functions for over 400 of these proteins. Such functions include protease inhibitors, membrane pore formation, ion channel blockers and metal binding proteins. Many of the proteins belong to small families of paralogs. We conclude that the evolutionary expansion of toxin-like proteins in Cnidaria contributes to their fitness in the complex environment of the aquatic ecosystem.
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Affiliation(s)
- Yitshak Tirosh
- Department of Biological Chemistry, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; (Y.T.); (M.A.)
| | - Itai Linial
- The Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 91904, Israel;
| | - Manor Askenazi
- Department of Biological Chemistry, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; (Y.T.); (M.A.)
| | - Michal Linial
- Department of Biological Chemistry, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; (Y.T.); (M.A.)
- Author to whom correspondence should be addressed; ; Tel.: +972-2-658-5425; Fax: +972-2-658-6448
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Zhou H, Jin J, Wong L. Progress in computational studies of host-pathogen interactions. J Bioinform Comput Biol 2012; 11:1230001. [PMID: 23600809 DOI: 10.1142/s0219720012300018] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Host-pathogen interactions are important for understanding infection mechanism and developing better treatment and prevention of infectious diseases. Many computational studies on host-pathogen interactions have been published. Here, we review recent progress and results in this field and provide a systematic summary, comparison and discussion of computational studies on host-pathogen interactions, including prediction and analysis of host-pathogen protein-protein interactions; basic principles revealed from host-pathogen interactions; and database and software tools for host-pathogen interaction data collection, integration and analysis.
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Affiliation(s)
- Hufeng Zhou
- NUS Graduate School for Integrative Sciences & Engineering, National University of Singapore, Singapore 117456, Singapore.
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Arnold R, Boonen K, Sun MG, Kim PM. Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction space. Methods 2012; 57:508-18. [PMID: 22750305 PMCID: PMC7128575 DOI: 10.1016/j.ymeth.2012.06.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Revised: 06/20/2012] [Accepted: 06/21/2012] [Indexed: 11/05/2022] Open
Abstract
Bacterial and viral pathogens affect their eukaryotic host partly by interacting with proteins of the host cell. Hence, to investigate infection from a systems' perspective we need to construct complete and accurate host-pathogen protein-protein interaction networks. Because of the paucity of available data and the cost associated with experimental approaches, any construction and analysis of such a network in the near future has to rely on computational predictions. Specifically, this challenge consists of a number of sub-problems: First, prediction of possible pathogen interactors (e.g. effector proteins) is necessary for bacteria and protozoa. Second, the prospective host binding partners have to be determined and finally, the impact on the host cell analyzed. This review gives an overview of current bioinformatics approaches to obtain and understand host-pathogen interactions. As an application example of the methods covered, we predict host-pathogen interactions of Salmonella and discuss the value of these predictions as a prospective for further research.
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Affiliation(s)
- Roland Arnold
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada M5S 3E1
| | - Kurt Boonen
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada M5S 3E1
| | - Mark G.F. Sun
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada M5S 3E1
| | - Philip M. Kim
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada M5S 3E1
- Banting and Best Department of Medical Research, University of Toronto, Toronto, ON, Canada M5S 3E1
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada M5S 3E1
- Department of Computer Science, University of Toronto, Toronto, ON, Canada M5S 3E1
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