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Dulay ANG, de Guzman JCC, Marquez ZYD, Santana ESD, Arce J, Orosco FL. The potential of Chlorella spp. as antiviral source against African swine fever virus through a virtual screening pipeline. J Mol Graph Model 2024; 132:108846. [PMID: 39151375 DOI: 10.1016/j.jmgm.2024.108846] [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: 04/01/2024] [Revised: 06/26/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
African swine fever (ASF) causes high mortality in pigs and threatens global swine production. There is still a lack of therapeutics available, with two vaccines under scrutiny and no approved small-molecule drugs. Eleven (11) viral proteins were used to identify potential antivirals in in silico screening of secondary metabolites (127) from Chlorella spp. The metabolites were screened for affinity and binding selectivity. High-scoring compounds were assessed through in silico ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) predictions, compared to structurally similar drugs, and checked for off-target docking with prepared swine receptors. Molecular dynamics (MD) simulations determined binding stability while binding energy was measured in Molecular Mechanics - Generalized Born Surface Area (MMGBSA) or Poisson-Boltzmann Surface Area (MMPBSA). Only six (6) compounds passed until MD analyses, of which five (5) were stable after 100 ns of MD runs. Of these five compounds, only three had binding affinities that were comparable to or stronger than controls. Specifically, phytosterols 24,25-dihydrolanosterol and CID 4206521 that interact with the RNA capping enzyme (pNP868R), and ergosterol which bound to the Erv-like thioreductase (pB119L). The compounds identified in this study can be used as a theoretical basis for in vitro screening to develop potent antiviral drugs against ASFV.
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Affiliation(s)
- Albert Neil G Dulay
- Virology and Vaccine Research Program, Industrial Technology Development Institute, Department of Science and Technology, Taguig, 1632, Philippines
| | - John Christian C de Guzman
- Virology and Vaccine Research Program, Industrial Technology Development Institute, Department of Science and Technology, Taguig, 1632, Philippines
| | - Zyra Ysha D Marquez
- Department of Biology, College of Arts and Sciences, University of the Philippines - Manila, Manila, 1000, Philippines
| | - Elisha Sofia D Santana
- Department of Biology, College of Arts and Sciences, University of the Philippines - Manila, Manila, 1000, Philippines
| | - Jessamine Arce
- Department of Biology, College of Arts and Sciences, University of the Philippines - Manila, Manila, 1000, Philippines
| | - Fredmoore L Orosco
- Virology and Vaccine Research Program, Industrial Technology Development Institute, Department of Science and Technology, Taguig, 1632, Philippines; Department of Biology, College of Arts and Sciences, University of the Philippines - Manila, Manila, 1000, Philippines; S&T Fellows Program, Department of Science and Technology, Taguig, 1632, Philippines.
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2
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Li Y, He W, Liu S, Hu X, He Y, Song X, Yin J, Nie S, Xie M. Innovative omics strategies in fermented fruits and vegetables: Unveiling nutritional profiles, microbial diversity, and future prospects. Compr Rev Food Sci Food Saf 2024; 23:e70030. [PMID: 39379298 DOI: 10.1111/1541-4337.70030] [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: 04/06/2024] [Revised: 09/06/2024] [Accepted: 09/08/2024] [Indexed: 10/10/2024]
Abstract
Fermented fruits and vegetables (FFVs) are not only rich in essential nutrients but also contain distinctive flavors, prebiotics, and metabolites. Although omics techniques have gained widespread recognition as an analytical strategy for FFVs, its application still encounters several challenges due to the intricacies of biological systems. This review systematically summarizes the advances, obstacles and prospects of genomics, transcriptomics, proteomics, metabolomics, and multi-omics strategies in FFVs. It is evident that beyond traditional applications, such as the exploration of microbial diversity, protein expression, and metabolic pathways, omics techniques exhibit innovative potential in deciphering stress response mechanisms and uncovering spoilage microorganisms. The adoption of multi-omics strategies is paramount to acquire a multidimensional network fusion, thereby mitigating the limitations of single omics strategies. Although substantial progress has been made, this review underscores the necessity for a comprehensive repository of omics data and the establishment of universal databases to ensure precision in predictions. Furthermore, multidisciplinary integration with other physical or biochemical approaches is imperative, as it enriches our comprehension of this intricate process.
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Affiliation(s)
- Yuhao Li
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Weiwei He
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Shuai Liu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Xiaoyi Hu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Yuxing He
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Xiaoxiao Song
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Junyi Yin
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Shaoping Nie
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
| | - Mingyong Xie
- State Key Laboratory of Food Science and Resources, China-Canada Joint Laboratory of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang, China
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3
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Smith CS, Underwood DJ, Gordon A, Pyne MJ, Smyth A, Genge B, Driver L, Mayer DG, Oakey J. Identification and epidemiological analysis of a putative novel hantavirus in Australian flying foxes. Virus Genes 2024:10.1007/s11262-024-02113-3. [PMID: 39392529 DOI: 10.1007/s11262-024-02113-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 09/28/2024] [Indexed: 10/12/2024]
Abstract
In July 2017, an investigation into the cause of neurological signs in a black flying fox (Pteropus alecto, family Pteropodidae) identified a putative novel hantavirus (Robina virus, ROBV, order Bunyavirales, family Hantaviridae, genus Mobatvirus) in its brain. Analysis of the evolutionary relationship between other hantaviruses using maximum-likelihood, a systematic Bayesian clustering approach, and a minimum spanning tree, all suggest that ROBV is most closely related to another Mobatvirus, Quezon virus, previously identified in the lung of a Philippine frugivorous bat (Rousettus amplexicaudatus, also family Pteropodidae). Subsequently, between March 2018 and October 2023, a total of 495 bats were opportunistically screened for ROBV with an experimental qRT-PCR. The total prevalence of ROBV RNA detected in Pteropus spp. was 4.2% (95% CI 2.8-6.4%). Binomial modelling identified that there was substantial evidence supporting an increase (P = 0.033) in the detection of ROBV RNA in bats in 2019 and 2020 suggesting of a possible transient epidemic. There was also moderate evidence to support the effect of season (P = 0.064), with peak detection in the cooler seasons, autumn, and winter, possibly driven by physiological and ecological factors similar to those already identified for other bat-borne viruses. This is Australia's first reported putative hantavirus and its identification could expand the southern known range of hantaviruses in Australasia.
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Affiliation(s)
- Craig S Smith
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia.
| | - Darren J Underwood
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - Anita Gordon
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - Michael J Pyne
- Currumbin Wildlife Hospital Foundation, Currumbin, QLD, Australia
| | - Anna Smyth
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - Benjamin Genge
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - Luke Driver
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - David G Mayer
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
| | - Jane Oakey
- Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia
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Zhang Q, Ji XM, Wang X, Wang W, Xu X, Zhang Q, Xing D, Ren N, Lee DJ, Chen C. Differentiation of the Anammox core microbiome: Unraveling the evolutionary impetus of scalable gene flow. WATER RESEARCH 2024; 268:122580. [PMID: 39383807 DOI: 10.1016/j.watres.2024.122580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 09/27/2024] [Accepted: 10/04/2024] [Indexed: 10/11/2024]
Abstract
Anaerobic ammonium oxidation bacteria (AAOB), distinguished by their unique autotrophic nitrogen metabolism, hold pivotal positions in the global nitrogen cycle and environmental biotechnologies. However, the ecophysiology and evolution of AAOB remain poorly understood, attributed to the absence of monocultures. Hence, a comprehensive elucidation of the AAOB-dominated core microbiome, anammox core, is imperative to further completing the theory of engineered nitrogen removal and ecological roles of anammox. Performing taxonomic and phylogenetic analyses on collected genome repertoires, we show here that Candidatus Brocadia and Candidatus Kuenenia possesses a more compact core than Candidatus Jettenia, which partly explains why the latter has a less common ecological presence. Evidence of gene flow is particularly striking in functions related to biosynthesis and oxygen detoxification, underscoring the evolutionary forces driving lineage and core differentiation. Furthermore, CRISPR spacer traceback of the AAOB metagenome-assembled genomes (MAGs) reveals a series of genetic traces for the concealed phages. By reconceptualizing the functional divergence of AAOB with the historical role of phages, we ultimately propose a coevolutionary framework to understand the evolutionary trajectory of anammox microecology. The discoveries provided in this study offer new insights into understanding the evolution of AAOB and the ecology of anammox.
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Affiliation(s)
- Quan Zhang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Xiao-Ming Ji
- College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xueting Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Wei Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Xijun Xu
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Qi Zhang
- College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, PR China; College of Energy and Environment, Southeast University, Nanjing 210096, PR China
| | - Defeng Xing
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Nanqi Ren
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China
| | - Duu-Jong Lee
- Department of Mechanical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-li 32003, Taiwan
| | - Chuan Chen
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, PR China.
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5
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Sharma A, Chandrashekar CR, Krishna S, Sowdhamini R. Computational Analysis of the Accumulation of Mutations in Therapeutically Important RNA Viral Proteins During Pandemics with Special Emphasis on SARS-CoV-2. J Mol Biol 2024; 436:168716. [PMID: 39047897 DOI: 10.1016/j.jmb.2024.168716] [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: 04/07/2024] [Revised: 07/06/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
Single stranded RNA viruses are primary causative agents for pandemics, causing extensive morbidity and mortality worldwide. A pivotal question in pandemic preparedness and therapeutic intervention is what are the specific mutations which are more likely to emerge during such global health crises? This study aims to identify markers for mutations with the highest probability of emergence in these pandemics, focusing on the SARS-CoV-2 spike protein, an essential and therapeutically significant viral protein, starting from sequence information from the onset of the pandemic until July 2022. Quite consistently, we observed that emerged mutations tended to demonstrate a high genetic score, which reflects high similarity of the type of codon required for translation between an amino acid and to the mutated one. Further, this pattern is also observed in therapeutically significant proteins of other ssRNA pandemic viruses, including influenza (HA, NA), spike proteins of Ebola, envelope of Dengue and Chikungunya. We propose that the genetic score serves as an initial indicator, preceding the actual impact of the mutation on viral fitness. Finally, we developed a comprehensive computational pipeline to further explore and predict the subsequent effects of mutations on viral fitness. We believe that our pipeline can narrow down and predict future mutations in therapeutically important viral proteins during a pandemic.
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Affiliation(s)
- Abhishek Sharma
- National Centre for Biological Science, GKVK Campus, Bengaluru 560065, India
| | - C R Chandrashekar
- National Centre for Biological Science, GKVK Campus, Bengaluru 560065, India
| | - Sudhir Krishna
- National Centre for Biological Science, GKVK Campus, Bengaluru 560065, India
| | - Ramanathan Sowdhamini
- Molecular Biophysics Unit, Indian Institute of Science, Banagalore 560012, India; Institute of Bioinformatics and Applied Biotechnology, Bangalore, 560100, India.
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6
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Do ED, Holland SC, Kaelin EA, Mitchell C, Soria J, La Rosa A, Ticona E, Coombs RW, Frenkel LM, Bull ME, Lim ES. Genome sequences of human anelloviruses in the Lamedtorquevirus, Memtorquevirus, and Samektorquevirus genera identified from the female genital tract. Microbiol Resour Announc 2024; 13:e0058224. [PMID: 39101720 PMCID: PMC11385962 DOI: 10.1128/mra.00582-24] [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: 05/31/2024] [Accepted: 07/19/2024] [Indexed: 08/06/2024] Open
Abstract
We identified and characterized seven anellovirus genome sequences in the female genital tract through virome metagenomic sequencing of cervicovaginal lavage specimens from women living with HIV in Peru. Phylogenetic and genomic analyses indicate that they belong to three newly proposed Lamedtorquevirus, Memtorquevirus, and Samektorquevirus genera in the Anelloviridae family.
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Affiliation(s)
- Eric D Do
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Steven C Holland
- Center for Fundamental and Applied Microbiomics, the Biodesign Institute, Tempe, Arizona, USA
| | - Emily A Kaelin
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Fundamental and Applied Microbiomics, the Biodesign Institute, Tempe, Arizona, USA
| | - Caroline Mitchell
- Department of Obstretrics and Gynecology, University of Washington, Seattle, Washington, USA
| | - Jaime Soria
- Infectious Diseases Departmento, Hospital Nacional Dos de Mayo, Universidad de San Marcos, Lima, Peru
| | - Alberto La Rosa
- Asociaciòn Civil Impacta Salud y Educación, Lima, Peru
- MSD Peru, Lima, Peru
| | - Eduardo Ticona
- Infectious Diseases Departamento, Hospital Nacional Dos de Mayo, Asociaciòn Civil Impacta Salud y Educación, Universidad de San Marcos, Lima, Peru
| | - Robert W Coombs
- Departments of Medicine; Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Lisa M Frenkel
- Departments of Medicine; Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
- Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Marta E Bull
- Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Efrem S Lim
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Fundamental and Applied Microbiomics, the Biodesign Institute, Tempe, Arizona, USA
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7
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Vishwanath S, Carnell GW, Billmeier M, Ohlendorf L, Neckermann P, Asbach B, George C, Sans MS, Chan A, Olivier J, Nadesalingam A, Einhauser S, Temperton N, Cantoni D, Grove J, Jordan I, Sandig V, Tonks P, Geiger J, Dohmen C, Mummert V, Samuel AR, Plank C, Kinsley R, Wagner R, Heeney JL. Computationally designed Spike antigens induce neutralising responses against the breadth of SARS-COV-2 variants. NPJ Vaccines 2024; 9:164. [PMID: 39251608 PMCID: PMC11384739 DOI: 10.1038/s41541-024-00950-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 08/14/2024] [Indexed: 09/11/2024] Open
Abstract
Updates of SARS-CoV-2 vaccines are required to generate immunity in the population against constantly evolving SARS-CoV-2 variants of concerns (VOCs). Here we describe three novel in-silico designed spike-based antigens capable of inducing neutralising antibodies across a spectrum of SARS-CoV-2 VOCs. Three sets of antigens utilising pre-Delta (T2_32), and post-Gamma sequence data (T2_35 and T2_36) were designed. T2_32 elicited superior neutralising responses against VOCs compared to the Wuhan-1 spike antigen in DNA prime-boost immunisation regime in guinea pigs. Heterologous boosting with the attenuated poxvirus - Modified vaccinia Ankara expressing T2_32 induced broader neutralising immune responses in all primed animals. T2_32, T2_35 and T2_36 elicited broader neutralising capacity compared to the Omicron BA.1 spike antigen administered by mRNA immunisation in mice. These findings demonstrate the utility of structure-informed computationally derived modifications of spike-based antigens for inducing broad immune responses covering more than 2 years of evolved SARS-CoV-2 variants.
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Affiliation(s)
- Sneha Vishwanath
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - George William Carnell
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Martina Billmeier
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Luis Ohlendorf
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Patrick Neckermann
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Benedikt Asbach
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Charlotte George
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Maria Suau Sans
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Andrew Chan
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Joey Olivier
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Angalee Nadesalingam
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | - Sebastian Einhauser
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Kent and Greenwich at Medway, Chatham, United Kingdom
| | - Diego Cantoni
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Joe Grove
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | | | | | - Paul Tonks
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
| | | | | | - Verena Mummert
- Ethris GmbH, Semmelweisstraße 3, 82152, Planegg, Germany
| | | | | | - Rebecca Kinsley
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom
- DIOSynVax Ltd, University of Cambridge, Cambridge, United Kingdom
| | - Ralf Wagner
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
- DIOSynVax Ltd, University of Cambridge, Cambridge, United Kingdom
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
| | - Jonathan Luke Heeney
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, United Kingdom.
- DIOSynVax Ltd, University of Cambridge, Cambridge, United Kingdom.
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8
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Prokop JW, Alberta S, Witteveen-Lane M, Pell S, Farag HA, Bhargava D, Vaughan RM, Frisch A, Bauss J, Bhatti H, Arora S, Subrahmanya C, Pearson D, Goodyke A, Westgate M, Cook TW, Mitchell JT, Zieba J, Sims MD, Underwood A, Hassouna H, Rajasekaran S, Tamae Kakazu MA, Chesla D, Olivero R, Caulfield AJ. SARS-CoV-2 Genotyping Highlights the Challenges in Spike Protein Drift Independent of Other Essential Proteins. Microorganisms 2024; 12:1863. [PMID: 39338537 PMCID: PMC11433680 DOI: 10.3390/microorganisms12091863] [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: 08/01/2024] [Revised: 08/22/2024] [Accepted: 08/27/2024] [Indexed: 09/30/2024] Open
Abstract
As of 2024, SARS-CoV-2 continues to propagate and drift as an endemic virus, impacting healthcare for years. The largest sequencing initiative for any species was initiated to combat the virus, tracking changes over time at a full virus base-pair resolution. The SARS-CoV-2 sequencing represents a unique opportunity to understand selective pressures and viral evolution but requires cross-disciplinary approaches from epidemiology to functional protein biology. Within this work, we integrate a two-year genotyping window with structural biology to explore the selective pressures of SARS-CoV-2 on protein insights. Although genotype and the Spike (Surface Glycoprotein) protein continue to drift, most SARS-CoV-2 proteins have had few amino acid alterations. Within Spike, the high drift rate of amino acids involved in antibody evasion also corresponds to changes within the ACE2 binding pocket that have undergone multiple changes that maintain functional binding. The genotyping suggests selective pressure for receptor specificity that could also confer changes in viral risk. Mapping of amino acid changes to the structures of the SARS-CoV-2 co-transcriptional complex (nsp7-nsp14), nsp3 (papain-like protease), and nsp5 (cysteine protease) proteins suggest they remain critical factors for drug development that will be sustainable, unlike those strategies targeting Spike.
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Affiliation(s)
- Jeremy W. Prokop
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Sheryl Alberta
- Advanced Technology Lab, Corewell Health, Grand Rapids, MI 49503, USA; (S.A.); (S.P.)
| | - Martin Witteveen-Lane
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Samantha Pell
- Advanced Technology Lab, Corewell Health, Grand Rapids, MI 49503, USA; (S.A.); (S.P.)
| | - Hosam A. Farag
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Disha Bhargava
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Robert M. Vaughan
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Austin Frisch
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Jacob Bauss
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Humza Bhatti
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Sanjana Arora
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Charitha Subrahmanya
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - David Pearson
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Austin Goodyke
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Mason Westgate
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
| | - Taylor W. Cook
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Jackson T. Mitchell
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Jacob Zieba
- Genetics and Genome Sciences Program, BioMolecular Science, Michigan State University, East Lansing, MI 48824, USA;
| | - Matthew D. Sims
- Section of Infectious Diseases, Corewell Health, Royal Oak, MI 48073, USA;
- Department of Internal Medicine, Oakland University William Beaumont School of Medicine, Auburn Hills, MI 48309, USA
| | - Adam Underwood
- Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA;
| | - Habiba Hassouna
- Adult Infectious Disease, Corewell Health, Grand Rapids, MI 49503, USA;
| | - Surender Rajasekaran
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Maximiliano A. Tamae Kakazu
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
- Division of Pulmonary and Critical Care Medicine, Corewell Health, Grand Rapids, MI 49503, USA
| | - Dave Chesla
- Office of Research, Corewell Health, Grand Rapids, MI 49503, USA; (M.W.-L.); (H.A.F.); (S.A.); (C.S.); (D.P.); (A.G.); (M.W.); (S.R.); (D.C.)
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
| | - Rosemary Olivero
- College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA; (D.B.); (R.M.V.); (A.F.); (J.B.); (H.B.); (T.W.C.); (J.T.M.); (M.A.T.K.); (R.O.)
- Pediatric Infectious Disease, Helen DeVos Children’s Hospital, Corewell Health, Grand Rapids, MI 49503, USA
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9
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Veglia AJ, Rivera-Vicéns RE, Grupstra CGB, Howe-Kerr LI, Correa AMS. vAMPirus: A versatile amplicon processing and analysis program for studying viruses. Mol Ecol Resour 2024; 24:e13978. [PMID: 38775206 DOI: 10.1111/1755-0998.13978] [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: 02/08/2023] [Accepted: 05/08/2024] [Indexed: 07/31/2024]
Abstract
Amplicon sequencing is an effective and increasingly applied method for studying viral communities in the environment. Here, we present vAMPirus, a user-friendly, comprehensive, and versatile DNA and RNA virus amplicon sequence analysis program, designed to support investigators in exploring virus amplicon sequencing data and running informed, reproducible analyses. vAMPirus intakes raw virus amplicon libraries and, by default, performs nucleotide- and amino acid-based analyses to produce results such as sequence abundance information, taxonomic classifications, phylogenies and community diversity metrics. The vAMPirus analytical framework leverages 16 different opensource tools and provides optional approaches that can increase the ratio of biological signal-to-noise and thereby reveal patterns that would have otherwise been masked. Here, we validate the vAMPirus analytical framework and illustrate its implementation as a general virus amplicon sequencing workflow by recapitulating findings from two previously published double-stranded DNA virus datasets. As a case study, we also apply the program to explore the diversity and distribution of a coral reef-associated RNA virus. vAMPirus is streamlined within Nextflow, offering straightforward scalability, standardization and communication of virus lineage-specific analyses. The vAMPirus framework is designed to be adaptable; community-driven analytical standards will continue to be incorporated as the field advances. vAMPirus supports researchers in revealing patterns of virus diversity and population dynamics in nature, while promoting study reproducibility and comparability.
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Affiliation(s)
- Alex J Veglia
- BioSciences Department, Rice University, Houston, Texas, USA
- Department of Biology, University of Puerto Rico Mayagüez, Mayagüez, Puerto Rico, USA
- EcoAzul, La Parguera, Puerto Rico, USA
| | - Ramón E Rivera-Vicéns
- EcoAzul, La Parguera, Puerto Rico, USA
- Department of Earth and Environmental Sciences, Paleontology & Geobiology, Ludwig-Maximilians-Universität München, Munich, Germany
- Department of Sciences and Technology, Interamerican University of Puerto Rico at Barranquitas, Barranquitas, Puerto Rico, USA
| | - Carsten G B Grupstra
- BioSciences Department, Rice University, Houston, Texas, USA
- Department of Biology, Boston University, Boston, Massachusetts, USA
| | - Lauren I Howe-Kerr
- BioSciences Department, Rice University, Houston, Texas, USA
- Minderoo Foundation, Perth, Western Australia, Australia
| | - Adrienne M S Correa
- BioSciences Department, Rice University, Houston, Texas, USA
- Department of Environmental Science, Policy, and Management, University of California, California, USA
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10
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Urzo MLR, Guinto TD, Eusebio-Cope A, Budot BO, Yanoria MJT, Jonson GB, Arakawa M, Kondo H, Suzuki N. Metatranscriptomic Sequencing of Sheath Blight-Associated Isolates of Rhizoctonia solani Revealed Multi-Infection by Diverse Groups of RNA Viruses. Viruses 2024; 16:1152. [PMID: 39066314 PMCID: PMC11281561 DOI: 10.3390/v16071152] [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: 06/14/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Rice sheath blight, caused by the soil-borne fungus Rhizoctonia solani (teleomorph: Thanatephorus cucumeris, Basidiomycota), is one of the most devastating phytopathogenic fungal diseases and causes yield loss. Here, we report on a very high prevalence (100%) of potential virus-associated double-stranded RNA (dsRNA) elements for a collection of 39 fungal strains of R. solani from the rice sheath blight samples from at least four major rice-growing areas in the Philippines and a reference isolate from the International Rice Research Institute, showing different colony phenotypes. Their dsRNA profiles suggested the presence of multiple viral infections among these Philippine R. solani populations. Using next-generation sequencing, the viral sequences of the three representative R. solani strains (Ilo-Rs-6, Tar-Rs-3, and Tar-Rs-5) from different rice-growing areas revealed the presence of at least 36 viruses or virus-like agents, with the Tar-Rs-3 strain harboring the largest number of viruses (at least 20 in total). These mycoviruses or their candidates are believed to have single-stranded RNA or dsRNA genomes and they belong to or are associated with the orders Martellivirales, Hepelivirales, Durnavirales, Cryppavirales, Ourlivirales, and Ghabrivirales based on their coding-complete RNA-dependent RNA polymerase sequences. The complete genome sequences of two novel RNA viruses belonging to the proposed family Phlegiviridae and family Mitoviridae were determined.
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Affiliation(s)
- Michael Louie R. Urzo
- Microbiology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines; (M.L.R.U.); (T.D.G.)
| | - Timothy D. Guinto
- Microbiology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines; (M.L.R.U.); (T.D.G.)
| | - Ana Eusebio-Cope
- Fit-for-Future Genetic Resources Unit, Rice Breeding Innovations Department, International Rice Research Institute (IRRI), University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines
| | - Bernard O. Budot
- Institute of Weed Science, Entomology, and Plant Pathology, College of Agriculture and Food Science, University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines;
| | - Mary Jeanie T. Yanoria
- Traits for Challenged Environments Unit, Rice Breeding Innovations Department, International Rice Research Institute (IRRI), University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines; (M.J.T.Y.); (G.B.J.)
| | - Gilda B. Jonson
- Traits for Challenged Environments Unit, Rice Breeding Innovations Department, International Rice Research Institute (IRRI), University of the Philippines Los Baños, Los Baños 4031, Laguna, Philippines; (M.J.T.Y.); (G.B.J.)
| | - Masao Arakawa
- Faculty of Agriculture, Meijo University, Nagoya 468-8502, Japan;
| | - Hideki Kondo
- Plant-Microbe Interactions Group, Institute of Plant Science and Resources (IPSR), Okayama University, Chuo 2-20-1, Kurashiki 710-0046, Japan
| | - Nobuhiro Suzuki
- Plant-Microbe Interactions Group, Institute of Plant Science and Resources (IPSR), Okayama University, Chuo 2-20-1, Kurashiki 710-0046, Japan
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11
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Zhang Y, Li Y, Qi L, Hang T, Wang P, Wang Y, Wu C, Wang Y, Wang X, Hou L, Ban Y, Zhang Z, Zhou W. Discovery and characterization of BRBV-sheep virus in nasal swabs from domestic sheep in China. Front Cell Infect Microbiol 2024; 14:1380708. [PMID: 39006745 PMCID: PMC11239340 DOI: 10.3389/fcimb.2024.1380708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/11/2024] [Indexed: 07/16/2024] Open
Abstract
Introduction The escalating occurrence of infectious disease outbreaks in humans and animals necessitates innovative, effective, and integrated research to better comprehend their transmission and dynamics. Viral infection in livestock has led to profound economic losses globally. Pneumonia is the prevalent cause of death in sheep. However, very few studies exist regarding virus-related pathogens in sheep. Metagenomics sequencing technologies in livestock research hold significant potential to elucidate these contingencies and enhance our understanding. Methods Therefore, this study aims to characterize respiratory viromes in paired nasal swabs from Inner Mongolian feedlot sheep in China using metaviromic sequencing. Through deep sequencing, de novo assembly, and similarity searches using translated protein sequences, several previously uncharacterized and known viruses were identified in this study. Results Among these discoveries, a novel Bovine Rhinitis B Virus (BRBV) (BRBV-sheep) strain was serendipitously detected in the nasal swabs of domestic sheep (Ovis aries). To facilitate further molecular epidemiological studies, the entire genome of BRBV-sheep was also determined. Owing to the unique sequence characteristics and phylogenetic position of BRBV-sheep, genetically distinct lineages of BRBV in sheep may exist. A TaqMan-based qRT-PCR assay targeting the 3D polymerase gene was developed and used to screen 592 clinical sheep specimens. The results showed that 44.59% of the samples (264/592) were positive. These findings suggest that BRBV sheep are widespread among Inner Mongolian herds. Conclusion This discovery marks the initial identification of BRBV in sheep within Inner Mongolia, China. These findings contribute to our understanding of the epidemiology and genetic evolution of BRBV. Recognizing the presence of BRBV in sheep informs strategies for disease management and surveillance and the potential development of targeted interventions to control its spread.
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Affiliation(s)
- Yufei Zhang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Yang Li
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- The Spirit Jinyu Biological Pharmaceutical Co. Ltd., Hohhot, Inner Mongolia, China
| | - Lemuge Qi
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Tianyu Hang
- Animal Health and Slaughtering Management Stationin, Yulin, Shaanxi, China
| | - Peng Wang
- The Spirit Jinyu Biological Pharmaceutical Co. Ltd., Hohhot, Inner Mongolia, China
| | - Yarong Wang
- The Spirit Jinyu Biological Pharmaceutical Co. Ltd., Hohhot, Inner Mongolia, China
| | - Caili Wu
- The Spirit Jinyu Biological Pharmaceutical Co. Ltd., Hohhot, Inner Mongolia, China
| | - Yongqin Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Xufen Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Lin Hou
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Yaxing Ban
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Zhidan Zhang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
| | - Weiguang Zhou
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, Hohhot, China
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12
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Jansz N, Faulkner GJ. Viral genome sequencing methods: benefits and pitfalls of current approaches. Biochem Soc Trans 2024; 52:1431-1447. [PMID: 38747720 PMCID: PMC11346438 DOI: 10.1042/bst20231322] [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: 02/22/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 06/27/2024]
Abstract
Whole genome sequencing of viruses provides high-resolution molecular insights, enhancing our understanding of viral genome function and phylogeny. Beyond fundamental research, viral sequencing is increasingly vital for pathogen surveillance, epidemiology, and clinical applications. As sequencing methods rapidly evolve, the diversity of viral genomics applications and catalogued genomes continues to expand. Advances in long-read, single molecule, real-time sequencing methodologies present opportunities to sequence contiguous, haplotype resolved viral genomes in a range of research and applied settings. Here we present an overview of nucleic acid sequencing methods and their applications in studying viral genomes. We emphasise the advantages of different viral sequencing approaches, with a particular focus on the benefits of third-generation sequencing technologies in elucidating viral evolution, transmission networks, and pathogenesis.
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Affiliation(s)
- Natasha Jansz
- Mater Research Institute - University of Queensland, TRI Building, Woolloongabba, QLD 4102, Australia
| | - Geoffrey J. Faulkner
- Mater Research Institute - University of Queensland, TRI Building, Woolloongabba, QLD 4102, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia
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13
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Voss S, Rademann J, Nitsche C. Characterisation of ten NS2B-NS3 proteases: Paving the way for pan-flavivirus drugs. Antiviral Res 2024; 226:105878. [PMID: 38582134 DOI: 10.1016/j.antiviral.2024.105878] [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: 12/31/2023] [Revised: 02/29/2024] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
Flaviviruses can cause severe illness in humans. Effective and safe vaccines are available for some species; however, for many flaviviruses disease prevention or specific treatments remain unavailable. The viral replication cycle depends on the proteolytic activity of the NS2B-NS3 protease, which releases functional viral proteins from a non-functional polyprotein precursor, rendering the protease a promising drug target. In this study, we characterised recombinant NS2B-NS3 proteases from ten flaviviruses including three unreported proteases from the Usutu, Kyasanur forest disease and Powassan viruses. All protease constructs comprise a covalent Gly4-Ser-Gly4 linker connecting the NS3 serine protease domain with its cofactor NS2B. We conducted a comprehensive cleavage site analysis revealing areas of high conversion. While all proteases were active in enzymatic assays, we noted a 1000-fold difference in catalytic efficiency across proteases from different flaviviruses. Two bicyclic peptide inhibitors displayed anti-pan-flaviviral protease activity with inhibition constants ranging from 10 to 1000 nM.
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Affiliation(s)
- Saan Voss
- Research School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia
| | - Jörg Rademann
- Department of Biology, Chemistry and Pharmacy, Institute of Pharmacy, Medicinal Chemistry, Freie Universität Berlin, Königin-Luise-Str. 2+4, 14195, Berlin, Germany
| | - Christoph Nitsche
- Research School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
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14
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Lim SJ, Rosario K, Kernbach ME, Gross AJ, Furman BT, Breitbart M. Limited potexvirus diversity in eastern Gulf of Mexico seagrass meadows. J Gen Virol 2024; 105:002004. [PMID: 38888587 PMCID: PMC11256451 DOI: 10.1099/jgv.0.002004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
Turtlegrass virus X, which infects the seagrass Thalassia testudinum, is the only potexvirus known to infect marine flowering plants. We investigated potexvirus distribution in seagrasses using a degenerate reverse transcription polymerase chain reaction (RT-PCR) assay originally designed to capture potexvirus diversity in terrestrial plants. The assay, which implements Potex-5 and Potex-2RC primers, successfully amplified a 584 nt RNA-dependent RNA polymerase (RdRp) fragment from TVX-infected seagrasses. Following validation, we screened 74 opportunistically collected, apparently healthy seagrass samples for potexviruses using this RT-PCR assay. The survey examined the host species T. testudinum, Halodule wrightii, Halophila stipulacea, Syringodium filiforme, Ruppia maritima, and Zostera marina. Potexvirus PCR products were successfully generated only from T. testudinum samples and phylogenetic analysis of sequenced PCR products revealed five distinct TVX sequence variants. Although the RT-PCR assay revealed limited potexvirus diversity in seagrasses, the expanded geographic distribution of TVX shown here emphasizes the importance of future studies to investigate T. testudinum populations across its native range and understand how the observed fine-scale genetic diversity affects host-virus interactions.
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Affiliation(s)
- Shen Jean Lim
- College of Marine Science, University of South Florida, St Petersburg, FL, USA
| | - Karyna Rosario
- College of Marine Science, University of South Florida, St Petersburg, FL, USA
| | | | - Anthony J. Gross
- College of Marine Science, University of South Florida, St Petersburg, FL, USA
| | - Bradley T. Furman
- Florida Fish and Wildlife Conservation Commission, Florida Fish and Wildlife Research Institute, Saint Petersburg, FL, USA
| | - Mya Breitbart
- College of Marine Science, University of South Florida, St Petersburg, FL, USA
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15
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Wu C, Raheem IT, Nahas DD, Citron M, Kim PS, Montefiori DC, Ottinger EA, Hepler RW, Hrin R, Patel SB, Soisson SM, Joyce JG. Stabilized trimeric peptide immunogens of the complete HIV-1 gp41 N-heptad repeat and their use as HIV-1 vaccine candidates. Proc Natl Acad Sci U S A 2024; 121:e2317230121. [PMID: 38768344 PMCID: PMC11145295 DOI: 10.1073/pnas.2317230121] [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: 11/13/2023] [Accepted: 03/29/2024] [Indexed: 05/22/2024] Open
Abstract
Efforts to develop an HIV-1 vaccine include those focusing on conserved structural elements as the target of broadly neutralizing monoclonal antibodies. MAb D5 binds to a highly conserved hydrophobic pocket on the gp41 N-heptad repeat (NHR) coiled coil and neutralizes through prevention of viral fusion and entry. Assessment of 17-mer and 36-mer NHR peptides presenting the D5 epitope in rodent immunogenicity studies showed that the longer peptide elicited higher titers of neutralizing antibodies, suggesting that neutralizing epitopes outside of the D5 pocket may exist. Although the magnitude and breadth of neutralization elicited by NHR-targeting antigens are lower than that observed for antibodies directed to other epitopes on the envelope glycoprotein complex, it has been shown that NHR-directed antibodies are potentiated in TZM-bl cells containing the FcγRI receptor. Herein, we report the design and evaluation of covalently stabilized trimeric 51-mer peptides encompassing the complete gp41 NHR. We demonstrate that these peptide trimers function as effective antiviral entry inhibitors and retain the ability to present the D5 epitope. We further demonstrate in rodent and nonhuman primate immunization studies that our 51-mer constructs elicit a broader repertoire of neutralizing antibody and improved cross-clade neutralization of primary HIV-1 isolates relative to 17-mer and 36-mer NHR peptides in A3R5 and FcγR1-enhanced TZM-bl assays. These results demonstrate that sensitive neutralization assays can be used for structural enhancement of moderately potent neutralizing epitopes. Finally, we present expanded trimeric peptide designs which include unique low-molecular-weight scaffolds that provide versatility in our immunogen presentation strategy.
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Affiliation(s)
- Chengwei Wu
- Discovery Chemistry, Merck & Co., Inc., West Point, PA19486
| | | | | | - Michael Citron
- Discovery Biology, Merck & Co., Inc., West Point, PA19486
| | - Peter S. Kim
- Office of the President, Merck & Co., Inc., West Point, PA19486
| | | | | | | | - Renee Hrin
- Discovery Biology, Merck & Co., Inc., West Point, PA19486
| | | | | | - Joseph G. Joyce
- Process Research and Development, Merck & Co., Inc., West Point, PA19486
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16
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Blanco-Melo D, Campbell MA, Zhu H, Dennis TPW, Modha S, Lytras S, Hughes J, Gatseva A, Gifford RJ. A novel approach to exploring the dark genome and its application to mapping of the vertebrate virus fossil record. Genome Biol 2024; 25:120. [PMID: 38741126 PMCID: PMC11089739 DOI: 10.1186/s13059-024-03258-y] [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: 11/03/2023] [Accepted: 04/22/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Genomic regions that remain poorly understood, often referred to as the dark genome, contain a variety of functionally relevant and biologically informative features. These include endogenous viral elements (EVEs)-virus-derived sequences that can dramatically impact host biology and serve as a virus fossil record. In this study, we introduce a database-integrated genome screening (DIGS) approach to investigate the dark genome in silico, focusing on EVEs found within vertebrate genomes. RESULTS Using DIGS on 874 vertebrate genomes, we uncover approximately 1.1 million EVE sequences, with over 99% originating from endogenous retroviruses or transposable elements that contain EVE DNA. We show that the remaining 6038 sequences represent over a thousand distinct horizontal gene transfer events across 10 virus families, including some that have not previously been reported as EVEs. We explore the genomic and phylogenetic characteristics of non-retroviral EVEs and determine their rates of acquisition during vertebrate evolution. Our study uncovers novel virus diversity, broadens knowledge of virus distribution among vertebrate hosts, and provides new insights into the ecology and evolution of vertebrate viruses. CONCLUSIONS We comprehensively catalog and analyze EVEs within 874 vertebrate genomes, shedding light on the distribution, diversity, and long-term evolution of viruses and reveal their extensive impact on vertebrate genome evolution. Our results demonstrate the power of linking a relational database management system to a similarity search-based screening pipeline for in silico exploration of the dark genome.
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Affiliation(s)
- Daniel Blanco-Melo
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA
- Herbold Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA
| | | | - Henan Zhu
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Tristan P W Dennis
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Sejal Modha
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Spyros Lytras
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Anna Gatseva
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK
| | - Robert J Gifford
- MRC-University of Glasgow Centre for Virus Research, 464 Bearsden Rd, Bearsden, Glasgow, G61 1QH, UK.
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
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17
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Ose NJ, Campitelli P, Modi T, Kazan IC, Kumar S, Ozkan SB. Some mechanistic underpinnings of molecular adaptations of SARS-COV-2 spike protein by integrating candidate adaptive polymorphisms with protein dynamics. eLife 2024; 12:RP92063. [PMID: 38713502 PMCID: PMC11076047 DOI: 10.7554/elife.92063] [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] [Indexed: 05/08/2024] Open
Abstract
We integrate evolutionary predictions based on the neutral theory of molecular evolution with protein dynamics to generate mechanistic insight into the molecular adaptations of the SARS-COV-2 spike (S) protein. With this approach, we first identified candidate adaptive polymorphisms (CAPs) of the SARS-CoV-2 S protein and assessed the impact of these CAPs through dynamics analysis. Not only have we found that CAPs frequently overlap with well-known functional sites, but also, using several different dynamics-based metrics, we reveal the critical allosteric interplay between SARS-CoV-2 CAPs and the S protein binding sites with the human ACE2 (hACE2) protein. CAPs interact far differently with the hACE2 binding site residues in the open conformation of the S protein compared to the closed form. In particular, the CAP sites control the dynamics of binding residues in the open state, suggesting an allosteric control of hACE2 binding. We also explored the characteristic mutations of different SARS-CoV-2 strains to find dynamic hallmarks and potential effects of future mutations. Our analyses reveal that Delta strain-specific variants have non-additive (i.e., epistatic) interactions with CAP sites, whereas the less pathogenic Omicron strains have mostly additive mutations. Finally, our dynamics-based analysis suggests that the novel mutations observed in the Omicron strain epistatically interact with the CAP sites to help escape antibody binding.
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Affiliation(s)
- Nicholas James Ose
- Department of Physics and Center for Biological Physics, Arizona State UniversityTempeUnited States
| | - Paul Campitelli
- Department of Physics and Center for Biological Physics, Arizona State UniversityTempeUnited States
| | - Tushar Modi
- Department of Physics and Center for Biological Physics, Arizona State UniversityTempeUnited States
| | - I Can Kazan
- Department of Physics and Center for Biological Physics, Arizona State UniversityTempeUnited States
| | - Sudhir Kumar
- Institute for Genomics and Evolutionary Medicine, Temple UniversityPhiladelphiaUnited States
- Department of Biology, Temple UniversityPhiladelphiaUnited States
- Center for Genomic Medicine Research, King Abdulaziz UniversityJeddahSaudi Arabia
| | - Sefika Banu Ozkan
- Department of Physics and Center for Biological Physics, Arizona State UniversityTempeUnited States
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18
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Trinity L, Stege U, Jabbari H. Tying the knot: Unraveling the intricacies of the coronavirus frameshift pseudoknot. PLoS Comput Biol 2024; 20:e1011787. [PMID: 38713726 PMCID: PMC11108256 DOI: 10.1371/journal.pcbi.1011787] [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: 12/27/2023] [Revised: 05/21/2024] [Accepted: 04/27/2024] [Indexed: 05/09/2024] Open
Abstract
Understanding and targeting functional RNA structures towards treatment of coronavirus infection can help us to prepare for novel variants of SARS-CoV-2 (the virus causing COVID-19), and any other coronaviruses that could emerge via human-to-human transmission or potential zoonotic (inter-species) events. Leveraging the fact that all coronaviruses use a mechanism known as -1 programmed ribosomal frameshifting (-1 PRF) to replicate, we apply algorithms to predict the most energetically favourable secondary structures (each nucleotide involved in at most one pairing) that may be involved in regulating the -1 PRF event in coronaviruses, especially SARS-CoV-2. We compute previously unknown most stable structure predictions for the frameshift site of coronaviruses via hierarchical folding, a biologically motivated framework where initial non-crossing structure folds first, followed by subsequent, possibly crossing (pseudoknotted), structures. Using mutual information from 181 coronavirus sequences, in conjunction with the algorithm KnotAli, we compute secondary structure predictions for the frameshift site of different coronaviruses. We then utilize the Shapify algorithm to obtain most stable SARS-CoV-2 secondary structure predictions guided by frameshift sequence-specific and genome-wide experimental data. We build on our previous secondary structure investigation of the singular SARS-CoV-2 68 nt frameshift element sequence, by using Shapify to obtain predictions for 132 extended sequences and including covariation information. Previous investigations have not applied hierarchical folding to extended length SARS-CoV-2 frameshift sequences. By doing so, we simulate the effects of ribosome interaction with the frameshift site, providing insight to biological function. We contribute in-depth discussion to contextualize secondary structure dual-graph motifs for SARS-CoV-2, highlighting the energetic stability of the previously identified 3_8 motif alongside the known dominant 3_3 and 3_6 (native-type) -1 PRF structures. Using a combination of thermodynamic methods and sequence covariation, our novel predictions suggest function of the attenuator hairpin via previously unknown pseudoknotted base pairing. While certain initial RNA folding is consistent, other pseudoknotted base pairs form which indicate potential conformational switching between the two structures.
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Affiliation(s)
- Luke Trinity
- Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada
| | - Ulrike Stege
- Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada
| | - Hosna Jabbari
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
- Institute on Aging and Lifelong Health, Victoria, British Columbia, Canada
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19
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Vogels CBF, Hill V, Breban MI, Chaguza C, Paul LM, Sodeinde A, Taylor-Salmon E, Ott IM, Petrone ME, Dijk D, Jonges M, Welkers MRA, Locksmith T, Dong Y, Tarigopula N, Tekin O, Schmedes S, Bunch S, Cano N, Jaber R, Panzera C, Stryker I, Vergara J, Zimler R, Kopp E, Heberlein L, Herzog KS, Fauver JR, Morrison AM, Michael SF, Grubaugh ND. DengueSeq: a pan-serotype whole genome amplicon sequencing protocol for dengue virus. BMC Genomics 2024; 25:433. [PMID: 38693476 PMCID: PMC11062901 DOI: 10.1186/s12864-024-10350-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: 11/16/2023] [Accepted: 04/25/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND The increasing burden of dengue virus on public health due to more explosive and frequent outbreaks highlights the need for improved surveillance and control. Genomic surveillance of dengue virus not only provides important insights into the emergence and spread of genetically diverse serotypes and genotypes, but it is also critical to monitor the effectiveness of newly implemented control strategies. Here, we present DengueSeq, an amplicon sequencing protocol, which enables whole-genome sequencing of all four dengue virus serotypes. RESULTS We developed primer schemes for the four dengue virus serotypes, which can be combined into a pan-serotype approach. We validated both approaches using genetically diverse virus stocks and clinical specimens that contained a range of virus copies. High genome coverage (>95%) was achieved for all genotypes, except DENV2 (genotype VI) and DENV 4 (genotype IV) sylvatics, with similar performance of the serotype-specific and pan-serotype approaches. The limit of detection to reach 70% coverage was 10-100 RNA copies/μL for all four serotypes, which is similar to other commonly used primer schemes. DengueSeq facilitates the sequencing of samples without known serotypes, allows the detection of multiple serotypes in the same sample, and can be used with a variety of library prep kits and sequencing instruments. CONCLUSIONS DengueSeq was systematically evaluated with virus stocks and clinical specimens spanning the genetic diversity within each of the four dengue virus serotypes. The primer schemes can be plugged into existing amplicon sequencing workflows to facilitate the global need for expanded dengue virus genomic surveillance.
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Affiliation(s)
- Chantal B F Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA.
| | - Verity Hill
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Mallery I Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA
| | - Lauren M Paul
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, USA
| | - Afeez Sodeinde
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Emma Taylor-Salmon
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Isabel M Ott
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Mary E Petrone
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Sydney Institute for Infectious Diseases, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Dennis Dijk
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Marcel Jonges
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Matthijs R A Welkers
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands
| | - Timothy Locksmith
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Yibo Dong
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Namratha Tarigopula
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Omer Tekin
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Sarah Schmedes
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Sylvia Bunch
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Natalia Cano
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Rayah Jaber
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Charles Panzera
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Ian Stryker
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Julieta Vergara
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Rebecca Zimler
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Edgar Kopp
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Lea Heberlein
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Kaylee S Herzog
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Joseph R Fauver
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Andrea M Morrison
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Scott F Michael
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA.
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
- Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.
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20
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Ma B, Wang Y, Zhao K, Stirling E, Lv X, Yu Y, Hu L, Tang C, Wu C, Dong B, Xue R, Dahlgren RA, Tan X, Dai H, Zhu YG, Chu H, Xu J. Biogeographic patterns and drivers of soil viromes. Nat Ecol Evol 2024; 8:717-728. [PMID: 38383853 DOI: 10.1038/s41559-024-02347-2] [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: 04/26/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024]
Abstract
Viruses are crucial in shaping soil microbial functions and ecosystems. However, studies on soil viromes have been limited in both spatial scale and biome coverage. Here we present a comprehensive synthesis of soil virome biogeographic patterns using the Global Soil Virome dataset (GSV) wherein we analysed 1,824 soil metagenomes worldwide, uncovering 80,750 partial genomes of DNA viruses, 96.7% of which are taxonomically unassigned. The biogeography of soil viral diversity and community structure varies across different biomes. Interestingly, the diversity of viruses does not align with microbial diversity and contrasts with it by showing low diversity in forest and shrubland soils. Soil texture and moisture conditions are further corroborated as key factors affecting diversity by our predicted soil viral diversity atlas, revealing higher diversity in humid and subhumid regions. In addition, the binomial degree distribution pattern suggests a random co-occurrence pattern of soil viruses. These findings are essential for elucidating soil viral ecology and for the comprehensive incorporation of viruses into soil ecosystem models.
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Affiliation(s)
- Bin Ma
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China
| | - Yiling Wang
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
| | - Kankan Zhao
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
| | - Erinne Stirling
- Agriculture and Food, CSIRO, Adelaide, South Australia, Australia
- Acid Sulfate Soils Centre, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Xiaofei Lv
- Department of Environmental Engineering, China Jiliang University, Hangzhou, China
| | - Yijun Yu
- Arable Soil Quality and Fertilizer Administration Bureau of Zhejiang Province, Hangzhou, China
| | - Lingfei Hu
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
| | - Chao Tang
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China
| | - Chuyi Wu
- School of Earth Sciences, Zhejiang University, Hangzhou, China
| | - Baiyu Dong
- Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China
| | - Ran Xue
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China
| | - Randy A Dahlgren
- Department of Land, Air and Water Resources, University of California, Davis, CA, USA
| | - Xiangfeng Tan
- Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Hengyi Dai
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China
| | - Yong-Guan Zhu
- Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Haiyan Chu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Jianming Xu
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, China.
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21
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Wang RH, Ng YK, Zhang X, Wang J, Li SC. Coding genomes with gapped pattern graph convolutional network. Bioinformatics 2024; 40:btae188. [PMID: 38603603 PMCID: PMC11034989 DOI: 10.1093/bioinformatics/btae188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 03/11/2024] [Accepted: 04/05/2024] [Indexed: 04/13/2024] Open
Abstract
MOTIVATION Genome sequencing technologies reveal a huge amount of genomic sequences. Neural network-based methods can be prime candidates for retrieving insights from these sequences because of their applicability to large and diverse datasets. However, the highly variable lengths of genome sequences severely impair the presentation of sequences as input to the neural network. Genetic variations further complicate tasks that involve sequence comparison or alignment. RESULTS Inspired by the theory and applications of "spaced seeds," we propose a graph representation of genome sequences called "gapped pattern graph." These graphs can be transformed through a Graph Convolutional Network to form lower-dimensional embeddings for downstream tasks. On the basis of the gapped pattern graphs, we implemented a neural network model and demonstrated its performance on diverse tasks involving microbe and mammalian genome data. Our method consistently outperformed all the other state-of-the-art methods across various metrics on all tasks, especially for the sequences with limited homology to the training data. In addition, our model was able to identify distinct gapped pattern signatures from the sequences. AVAILABILITY AND IMPLEMENTATION The framework is available at https://github.com/deepomicslab/GCNFrame.
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Affiliation(s)
- Ruo Han Wang
- Department of Computer Science, City University of Hong Kong Shenzhen Research Institute, Shen Zhen, 518063, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
| | - Yen Kaow Ng
- Department of Computer Science, City University of Hong Kong Shenzhen Research Institute, Shen Zhen, 518063, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
| | - Xianglilan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Jianping Wang
- Department of Computer Science, City University of Hong Kong Shenzhen Research Institute, Shen Zhen, 518063, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong Shenzhen Research Institute, Shen Zhen, 518063, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
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22
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Casimiro‐Soriguer CS, Perez‐Florido J, Lara M, Camacho‐Martinez P, Merino‐Diaz L, Pupo‐Ledo I, de Salazar A, Fuentes A, Viñuela L, Chueca N, Martinez‐Martinez L, Lorusso N, Lepe JA, Dopazo J, Garcia F. Molecular and phylogenetic characterization of the monkeypox outbreak in the South of Spain. Health Sci Rep 2024; 7:e1965. [PMID: 38524774 PMCID: PMC10957719 DOI: 10.1002/hsr2.1965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/22/2024] [Accepted: 02/22/2024] [Indexed: 03/26/2024] Open
Abstract
Background and Aim Until the May 2022 Monkeypox (MPXV) outbreak, which spread rapidly to many non-endemic countries, the virus was considered a viral zoonosis limited to some African countries. The Andalusian circuit of genomic surveillance was rapidly applied to characterize the MPXV outbreak in the South of Spain. Methods Whole genome sequencing was used to obtain the genomic profiles of samples collected across the south of Spain, representative of all the provinces of Andalusia. Phylogenetic analysis was used to study the relationship of the isolates and the available sequences of the 2022 outbreak. Results Whole genome sequencing of a total of 160 MPXV viruses from the different provinces that reported cases were obtained. Interestingly, we report the sequences of MPXV viruses obtained from two patients who died. While one of the isolates bore no noteworthy mutations that explain a potential heightened virulence, in another patient the second consecutive genome sequence, performed after the administration of tecovirimat, uncovered a mutation within the A0A7H0DN30 gene, known to be a prime target for tecovirimat in its Vaccinia counterpart. In general, a low number of mutations were observed in the sequences reported, which were very similar to the reference of the 2022 outbreak (OX044336), as expected from a DNA virus. The samples likely correspond to several introductions of the circulating MPXV viruses from the last outbreak. The virus sequenced from one of the two patients that died presented a mutation in a gene that bears potential connections to drug resistance. This mutation was absent in the initial sequencing before treatment.
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Affiliation(s)
- Carlos S. Casimiro‐Soriguer
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
| | - Javier Perez‐Florido
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
| | - Maria Lara
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
| | - Pedro Camacho‐Martinez
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Laura Merino‐Diaz
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Inmaculada Pupo‐Ledo
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Adolfo de Salazar
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Ana Fuentes
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Laura Viñuela
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
| | - Natalia Chueca
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Luis Martinez‐Martinez
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Unit of Microbiology, University Hospital Reina SofiaCordobaSpain
- Departamento de Química AgrícolaEdafología y Microbiología, Universidad de CórdobaCórdobaSpain
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)CórdobaSpain
| | - Nicola Lorusso
- Dirección General de Salud Pública, Consejería de Salud y Familias, Junta de AndalucíaSevillaSpain
| | - Jose A. Lepe
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
| | - Joaquín Dopazo
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
- FPS/ELIXIR‐ES, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
| | - Federico Garcia
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
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23
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Istvan P, Birkeland E, Avershina E, Kværner AS, Bemanian V, Pardini B, Tarallo S, de Vos WM, Rognes T, Berstad P, Rounge TB. Exploring the gut DNA virome in fecal immunochemical test stool samples reveals associations with lifestyle in a large population-based study. Nat Commun 2024; 15:1791. [PMID: 38424056 PMCID: PMC10904388 DOI: 10.1038/s41467-024-46033-0] [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: 08/25/2023] [Accepted: 02/08/2024] [Indexed: 03/02/2024] Open
Abstract
Stool samples for fecal immunochemical tests (FIT) are collected in large numbers worldwide as part of colorectal cancer screening programs. Employing FIT samples from 1034 CRCbiome participants, recruited from a Norwegian colorectal cancer screening study, we identify, annotate and characterize more than 18000 DNA viruses, using shotgun metagenome sequencing. Only six percent of them are assigned to a known taxonomic family, with Microviridae being the most prevalent viral family. Linking individual profiles to comprehensive lifestyle and demographic data shows 17/25 of the variables to be associated with the gut virome. Physical activity, smoking, and dietary fiber consumption exhibit strong and consistent associations with both diversity and relative abundance of individual viruses, as well as with enrichment for auxiliary metabolic genes. We demonstrate the suitability of FIT samples for virome analysis, opening an opportunity for large-scale studies of this enigmatic part of the gut microbiome. The diverse viral populations and their connections to the individual lifestyle uncovered herein paves the way for further exploration of the role of the gut virome in health and disease.
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Affiliation(s)
- Paula Istvan
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Einar Birkeland
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Ekaterina Avershina
- Department of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway
- Centre for Bioinformatics, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Ane S Kværner
- Section for Colorectal Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
| | - Vahid Bemanian
- Pathology Department, Akershus University Hospital, Lørenskog, Norway
| | - Barbara Pardini
- Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
- Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Turin, Italy
| | - Sonia Tarallo
- Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
- Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Turin, Italy
| | - Willem M de Vos
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Torbjørn Rognes
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
- Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Paula Berstad
- Section for Colorectal Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway
| | - Trine B Rounge
- Department of Tumor Biology, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.
- Centre for Bioinformatics, Department of Pharmacy, University of Oslo, Oslo, Norway.
- Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
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24
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Zolfo M, Silverj A, Blanco-Míguez A, Manghi P, Rota-Stabelli O, Heidrich V, Jensen J, Maharjan S, Franzosa E, Menni C, Visconti A, Pinto F, Ciciani M, Huttenhower C, Cereseto A, Asnicar F, Kitano H, Yamada T, Segata N. Discovering and exploring the hidden diversity of human gut viruses using highly enriched virome samples. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.19.580813. [PMID: 38464031 PMCID: PMC10925137 DOI: 10.1101/2024.02.19.580813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Viruses are an abundant and crucial component of the human microbiome, but accurately discovering them via metagenomics is still challenging. Currently, the available viral reference genomes poorly represent the diversity in microbiome samples, and expanding such a set of viral references is difficult. As a result, many viruses are still undetectable through metagenomics even when considering the power of de novo metagenomic assembly and binning, as viruses lack universal markers. Here, we describe a novel approach to catalog new viral members of the human gut microbiome and show how the resulting resource improves metagenomic analyses. We retrieved >3,000 viral-like particles (VLP) enriched metagenomic samples (viromes), evaluated the efficiency of the enrichment in each sample to leverage the viromes of highest purity, and applied multiple analysis steps involving assembly and comparison with hundreds of thousands of metagenome-assembled genomes to discover new viral genomes. We reported over 162,000 viral sequences passing quality control from thousands of gut metagenomes and viromes. The great majority of the retrieved viral sequences (~94.4%) were of unknown origin, most had a CRISPR spacer matching host bacteria, and four of them could be detected in >50% of a set of 18,756 gut metagenomes we surveyed. We included the obtained collection of sequences in a new MetaPhlAn 4.1 release, which can quantify reads within a metagenome matching the known and newly uncovered viral diversity. Additionally, we released the viral database for further virome and metagenomic studies of the human microbiome.
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Affiliation(s)
- Moreno Zolfo
- Department CIBIO, University of Trento, Italy
- Integrated Open Systems Unit, Okinawa Institute of Science and Technology (OIST), Okinawa, Japan
| | - Andrea Silverj
- Department CIBIO, University of Trento, Italy
- Center Agriculture Food Environment (C3A), University of Trento, Italy
- Fondazione Edmund Mach, San Michele all’Adige, Trento, Italy
| | | | | | - Omar Rota-Stabelli
- Department CIBIO, University of Trento, Italy
- Center Agriculture Food Environment (C3A), University of Trento, Italy
- Fondazione Edmund Mach, San Michele all’Adige, Trento, Italy
| | | | - Jordan Jensen
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sagun Maharjan
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Franzosa
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cristina Menni
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK
| | - Alessia Visconti
- Center for Biostatistics, Epidemiology and Public Health, Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | | | | | - Curtis Huttenhower
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Hiroaki Kitano
- Integrated Open Systems Unit, Okinawa Institute of Science and Technology (OIST), Okinawa, Japan
- The Systems Biology Institute (SBI), Tokyo, Japan
- IOM Bioworks Pvt. Ltd., Centre for Cellular and Molecular Platforms (C-CAMP), GKVK Post, Bellary Rd, Bengaluru, Karnataka-560065, India
| | - Takuji Yamada
- Integrated Open Systems Unit, Okinawa Institute of Science and Technology (OIST), Okinawa, Japan
- School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
- Metagen, Inc., Yamagata, Japan
- Metagen Therapeutics, Inc., Yamagata, Japan
- digzyme, Inc., Tokyo, Japan
| | - Nicola Segata
- Department CIBIO, University of Trento, Italy
- Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy
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Ose NJ, Campitelli P, Modi T, Can Kazan I, Kumar S, Banu Ozkan S. Some mechanistic underpinnings of molecular adaptations of SARS-COV-2 spike protein by integrating candidate adaptive polymorphisms with protein dynamics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.14.557827. [PMID: 37745560 PMCID: PMC10515954 DOI: 10.1101/2023.09.14.557827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
We integrate evolutionary predictions based on the neutral theory of molecular evolution with protein dynamics to generate mechanistic insight into the molecular adaptations of the SARS-COV-2 Spike (S) protein. With this approach, we first identified Candidate Adaptive Polymorphisms (CAPs) of the SARS-CoV-2 Spike protein and assessed the impact of these CAPs through dynamics analysis. Not only have we found that CAPs frequently overlap with well-known functional sites, but also, using several different dynamics-based metrics, we reveal the critical allosteric interplay between SARS-CoV-2 CAPs and the S protein binding sites with the human ACE2 (hACE2) protein. CAPs interact far differently with the hACE2 binding site residues in the open conformation of the S protein compared to the closed form. In particular, the CAP sites control the dynamics of binding residues in the open state, suggesting an allosteric control of hACE2 binding. We also explored the characteristic mutations of different SARS-CoV-2 strains to find dynamic hallmarks and potential effects of future mutations. Our analyses reveal that Delta strain-specific variants have non-additive (i.e., epistatic) interactions with CAP sites, whereas the less pathogenic Omicron strains have mostly additive mutations. Finally, our dynamics-based analysis suggests that the novel mutations observed in the Omicron strain epistatically interact with the CAP sites to help escape antibody binding.
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Affiliation(s)
- Nicholas J. Ose
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona, United States of America
| | - Paul Campitelli
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona, United States of America
| | - Tushar Modi
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona, United States of America
| | - I. Can Kazan
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona, United States of America
| | - Sudhir Kumar
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, United States of America
- Department of Biology, Temple University, Philadelphia, Pennsylvania, United States of America
- Center for Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - S. Banu Ozkan
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona, United States of America
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Xu Z, Peng Q, Song J, Zhang H, Wei D, Demongeot J, Zeng Q. Bioinformatic analysis of defective viral genomes in SARS-CoV-2 and its impact on population infection characteristics. Front Immunol 2024; 15:1341906. [PMID: 38348041 PMCID: PMC10859446 DOI: 10.3389/fimmu.2024.1341906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
DVGs (Defective Viral Genomes) are prevalent in RNA virus infections. In this investigation, we conducted an analysis of high-throughput sequencing data and observed widespread presence of DVGs in SARS-CoV-2. Comparative analysis between SARS-CoV-2 and diverse DNA viruses revealed heightened susceptibility to damage and increased sequencing sample heterogeneity within the SARS-CoV-2 genome. Whole-genome sequencing depth variability analysis exhibited a higher coefficient of variation for SARS-CoV-2, while DVG analysis indicated a significant proportion of recombination sites, signifying notable genome heterogeneity and suggesting that a large proportion of assembled virus particles contain incomplete RNA sequences. Moreover, our investigation explored the sequencing depth and DVG content differences among various strains. Our findings revealed that as the virus evolves, there is a notable increase in the proportion of intact genomes within virus particles, as evidenced by third-generation sequencing data. Specifically, the proportion of intact genome in the Omicron strain surpassed that of the Delta and Alpha strains. This observation effectively elucidates the heightened infectiousness of the Omicron strain compared to the Delta and Alpha strains. We also postulate that this improvement in completeness stems from enhanced virus assembly capacity, as the Omicron strain can promptly facilitate the binding of RNA and capsid protein, thereby reducing the exposure time of vulnerable virus RNA in the host environment and significantly mitigating its degradation. Finally, employing mathematical modeling, we simulated the impact of DVG effects under varying environmental factors on infection characteristics and population evolution. Our findings provide an explanation for the close association between symptom severity and the extent of virus invasion, as well as the substantial disparity in population infection characteristics caused by the same strain under distinct environmental conditions. This study presents a novel approach for future virus research and vaccine development.
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Affiliation(s)
- Zhaobin Xu
- Department of Life Science, Dezhou University, Dezhou, China
| | - Qingzhi Peng
- Department of Life Science, Dezhou University, Dezhou, China
| | - Jian Song
- Department of Life Science, Dezhou University, Dezhou, China
| | - Hongmei Zhang
- Department of Life Science, Dezhou University, Dezhou, China
| | - Dongqing Wei
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Shanghai Jiao Tong University, Shanghai, China
- Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nanyang, Henan, China
- Peng Cheng National Laboratory, Shenzhen, Guangdong, China
| | - Jacques Demongeot
- Laboratory AGEIS EA 7407, Team Tools for e-Gnosis Medical, Faculty of Medicine, University Grenoble Alpes (UGA), F-38700 La Tronche, France
| | - Qiangcheng Zeng
- Department of Life Science, Dezhou University, Dezhou, China
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27
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Nishimura L, Tanino A, Ajimoto M, Katsumura T, Ogawa M, Koganebuchi K, Waku D, Kumagai M, Sugimoto R, Nakaoka H, Oota H, Inoue I. Metagenomic analyses of 7000 to 5500 years old coprolites excavated from the Torihama shell-mound site in the Japanese archipelago. PLoS One 2024; 19:e0295924. [PMID: 38265980 PMCID: PMC10807776 DOI: 10.1371/journal.pone.0295924] [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: 03/08/2023] [Accepted: 12/03/2023] [Indexed: 01/26/2024] Open
Abstract
Coprolites contain various kinds of ancient DNAs derived from gut micro-organisms, viruses, and foods, which can help to determine the gut environment of ancient peoples. Their genomic information should be helpful in elucidating the interaction between hosts and microbes for thousands of years, as well as characterizing the dietary behaviors of ancient people. We performed shotgun metagenomic sequencing on four coprolites excavated from the Torihama shell-mound site in the Japanese archipelago. The coprolites were found in the layers of the Early Jomon period, corresponding stratigraphically to 7000 to 5500 years ago. After shotgun sequencing, we found that a significant number of reads showed homology with known gut microbe, viruses, and food genomes typically found in the feces of modern humans. We detected reads derived from several types of phages and their host bacteria simultaneously, suggesting the coexistence of viruses and their hosts. The food genomes provide biological evidence for the dietary behavior of the Jomon people, consistent with previous archaeological findings. These results indicate that ancient genomic analysis of coprolites is useful for understanding the gut environment and lifestyle of ancient peoples.
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Affiliation(s)
- Luca Nishimura
- Human Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka, Japan
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, Shizuoka, Japan
| | - Akio Tanino
- Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, Japan
| | | | - Takafumi Katsumura
- Department of Anatomy, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Motoyuki Ogawa
- Department of Anatomy, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Kae Koganebuchi
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo, Japan
| | - Daisuke Waku
- Department of International Agricultural Development, Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, Tokyo, Japan
| | - Masahiko Kumagai
- Research Center for Advanced Analysis, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Ryota Sugimoto
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, Shizuoka, Japan
| | - Hirofumi Nakaoka
- Department of Cancer Genome Research, Sasaki Institute, Tokyo, Japan
| | - Hiroki Oota
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo, Japan
| | - Ituro Inoue
- Human Genetics Laboratory, National Institute of Genetics, Mishima, Shizuoka, Japan
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, Shizuoka, Japan
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28
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Yuan L, Li X, Li M, Bi R, Li Y, Song J, Li W, Yan M, Luo H, Sun C, Shu Y. In silico design of a broad-spectrum multiepitope vaccine against influenza virus. Int J Biol Macromol 2024; 254:128071. [PMID: 37967595 DOI: 10.1016/j.ijbiomac.2023.128071] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/10/2023] [Accepted: 11/10/2023] [Indexed: 11/17/2023]
Abstract
Influenza remains a global health concern due to its potential to cause pandemics as a result of rapidly mutating influenza virus strains. Existing vaccines often struggle to keep up with these rapidly mutating flu viruses. Therefore, the development of a broad-spectrum peptide vaccine that can stimulate an optimal antibody response has emerged as an innovative approach to addressing the influenza threat. In this study, an immunoinformatic approach was employed to rapidly predict immunodominant epitopes from different antigens, aiming to develop an effective multiepitope influenza vaccine (MEV). The immunodominant B-cell linear epitopes of seasonal influenza strains hemagglutinin (HA) and neuraminidase (NA) were predicted using an antibody-peptide microarray, involving a human cohort including vaccinees and infected patients. On the other hand, bioinformatics tools were used to predict immunodominant cytotoxic T-cell (CTL) and helper T-cell (HTL) epitopes. Subsequently, these epitopes were evaluated by various immunoinformatic tools. Epitopes with high antigenicity, high immunogenicity, non-allergenicity, non-toxicity, as well as exemplary conservation were then connected in series with appropriate linkers and adjuvants to construct a broad-spectrum MEV. Moreover, the structural analysis revealed that the MEV candidates exhibited good stability, and the docking results demonstrated their strong affinity to Toll-like receptors 4 (TLR4). In addition, molecular dynamics simulation confirmed the stable interaction between TLR4 and MEVs. Three injections with MEVs showed a high level of B-cell and T-cell immune responses according to the immunological simulations in silico. Furthermore, in-silico cloning was performed, and the results indicated that the MEVs could be produced in considerable quantities in Escherichia coli (E. coli). Based on these findings, it is reasonable to create a broad-spectrum MEV against different subtypes of influenza A and B viruses in silico.
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Affiliation(s)
- Lifang Yuan
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China.
| | - Xu Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Department of Pathogenic Biology and Immunology, School of Basic Medicine, Xiangnan University, Chenzhou, Hunan, PR China.
| | - Minchao Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China.
| | - Rongjun Bi
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China
| | - Yingrui Li
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Jiaping Song
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Wei Li
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China.
| | - Mingchen Yan
- Shenzhen Digital Life Institute, Shenzhen, Guangdong 518000, PR China
| | - Huanle Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China.
| | - Caijun Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China.
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou 510080, PR China; Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100176, PR China.
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29
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Turner D, Adriaenssens EM, Lehman SM, Moraru C, Kropinski AM. Bacteriophage Taxonomy: A Continually Evolving Discipline. Methods Mol Biol 2024; 2734:27-45. [PMID: 38066361 DOI: 10.1007/978-1-0716-3523-0_3] [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] [Indexed: 12/18/2023]
Abstract
While taxonomy is an often underappreciated branch of science, it serves very important roles. Bacteriophage taxonomy has evolved from a discipline based mainly on morphology, characterized by the work of David Bradley and Hans-Wolfgang Ackermann, to the sequence-based approach that is taken today. The Bacterial Viruses Subcommittee of the International Committee on Taxonomy of Viruses (ICTV) takes a holistic approach to classifying prokaryote viruses by measuring overall DNA and protein similarity and phylogeny before making decisions about the taxonomic position of a new virus. The huge number of complete genomes being deposited with the National Center for Biotechnology Information (NCBI) and other public databases has resulted in a reassessment of the taxonomy of many viruses, and the future will see the introduction of new viral families and higher orders.
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Affiliation(s)
- Dann Turner
- School of Applied Sciences, College of Health, Science and Society, University of the West of England, Bristol, UK
| | | | - Susan M Lehman
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Cristina Moraru
- Department of The Biology of Geological Processes, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
| | - Andrew M Kropinski
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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30
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Dorlass EG, Amgarten DE. Bioinformatic Approaches for Comparative Analysis of Viruses. Methods Mol Biol 2024; 2802:395-425. [PMID: 38819566 DOI: 10.1007/978-1-0716-3838-5_13] [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
The field of viral genomic studies has experienced an unprecedented increase in data volume. New strains of known viruses are constantly being added to the GenBank database and so are completely new species with little or no resemblance to our databases of sequences. In addition to this, metagenomic techniques have the potential to further increase the number and rate of sequenced genomes. Besides, it is important to consider that viruses have a set of unique features that often break down molecular biology dogmas, e.g., the flux of information from RNA to DNA in retroviruses and the use of RNA molecules as genomes. As a result, extracting meaningful information from viral genomes remains a challenge and standard methods for comparing the unknown and our databases of characterized sequences may need adaptations. Thus, several bioinformatic approaches and tools have been created to address the challenge of analyzing viral data. This chapter offers descriptions and protocols of some of the most important bioinformatic techniques for comparative analysis of viruses. The authors also provide comments and discussion on how viruses' unique features can affect standard analyses and how to overcome some of the major sources of problems. Protocols and topics emphasize online tools (which are more accessible to users) and give the real experience of what most bioinformaticians do in day-by-day work with command-line pipelines. The topics discussed include (1) clustering related genomes, (2) whole genome multiple sequence alignments for small RNA viruses, (3) protein alignment for marker genes and species affiliation, (4) variant calling and annotation, and (5) virome analyses and pathogen identification.
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Martínez-Alvarez L, Ramond JB, Vikram S, León-Sobrino C, Maggs-Kölling G, Cowan DA. With a pinch of salt: metagenomic insights into Namib Desert salt pan microbial mats and halites reveal functionally adapted and competitive communities. Appl Environ Microbiol 2023; 89:e0062923. [PMID: 37971255 PMCID: PMC10734447 DOI: 10.1128/aem.00629-23] [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: 04/17/2023] [Accepted: 07/24/2023] [Indexed: 11/19/2023] Open
Abstract
IMPORTANCE The hyperarid Namib Desert is one of the oldest deserts on Earth. It contains multiple clusters of playas which are saline-rich springs surrounded by halite evaporites. Playas are of great ecological importance, and their indigenous (poly)extremophilic microorganisms are potentially involved in the precipitation of minerals such as carbonates and sulfates and have been of great biotechnological importance. While there has been a considerable amount of microbial ecology research performed on various Namib Desert edaphic microbiomes, little is known about the microbial communities inhabiting its multiple playas. In this work, we provide a comprehensive taxonomic and functional potential characterization of the microbial, including viral, communities of sediment mats and halites from two distant salt pans of the Namib Desert, contributing toward a better understanding of the ecology of this biome.
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Affiliation(s)
- Laura Martínez-Alvarez
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa
| | - Jean-Baptiste Ramond
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa
- Extreme Ecosystem Microbiomics & Ecogenomics (E²ME) Lab., Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Surendra Vikram
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa
| | - Carlos León-Sobrino
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa
| | | | - Don A. Cowan
- Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa
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Khot V, Strous M, Dong X, Kiesser AK. Viral diversity and dynamics and CRISPR-Cas-mediated immunity in a robust alkaliphilic cyanobacterial consortium. Microbiol Spectr 2023; 11:e0221723. [PMID: 37819096 PMCID: PMC10715143 DOI: 10.1128/spectrum.02217-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/25/2023] [Indexed: 10/13/2023] Open
Abstract
IMPORTANCE Biotechnology applications utilizing the function of microbial communities have become increasingly important solutions as we strive for sustainable applications. Although viral infections are known to have a significant impact on microbial turnover and nutrient cycling, viral dynamics have remained largely overlooked in these engineered communities. Predatory perturbations to the functional stability of these microbial biotechnology applications must be investigated in order to design more robust applications. In this study, we closely examine virus-microbe dynamics in a model microbial community used in a biotechnology application. Our findings suggest that viral dynamics change significantly with environmental conditions and that microbial immunity may play an important role in maintaining functional stability. We present this study as a comprehensive template for other researchers interested in exploring predatory dynamics in engineered microbial communities.
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Affiliation(s)
- Varada Khot
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
| | - Marc Strous
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
| | - Xiaoli Dong
- Department of Geoscience, University of Calgary, Calgary, Alberta, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Alyse K. Kiesser
- School of Engineering, University of British Columbia Okanagan, Kelowna, British Columbia, Canada
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33
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Zulian V, Fiscon G, Paci P, Garbuglia AR. Hepatitis B Virus and microRNAs: A Bioinformatics Approach. Int J Mol Sci 2023; 24:17224. [PMID: 38139051 PMCID: PMC10743825 DOI: 10.3390/ijms242417224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/20/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
In recent decades, microRNAs (miRNAs) have emerged as key regulators of gene expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including hepatitis B virus (HBV), has attracted significant attention. HBV infections often progress to chronic states (CHB) and may induce fibrosis/cirrhosis and hepatocellular carcinoma (HCC). The presence of HBV can dysregulate host miRNA expression, influencing several biological pathways, such as apoptosis, innate and immune response, viral replication, and pathogenesis. Consequently, miRNAs are considered a promising biomarker for diagnostic, prognostic, and treatment response. The dynamics of miRNAs during HBV infection are multifaceted, influenced by host variability and miRNA interactions. Given the ability of miRNAs to target multiple messenger RNA (mRNA), understanding the viral-host (human) interplay is complex but essential to develop novel clinical applications. Therefore, bioinformatics can help to analyze, identify, and interpret a vast amount of miRNA data. This review explores the bioinformatics tools available for viral and host miRNA research. Moreover, we introduce a brief overview focusing on the role of miRNAs during HBV infection. In this way, this review aims to help the selection of the most appropriate bioinformatics tools based on requirements and research goals.
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Affiliation(s)
- Verdiana Zulian
- Virology Laboratory, National Institute for Infectious Diseases “Lazzaro Spallanzani” IRCCS, 00149 Rome, Italy;
| | - Giulia Fiscon
- Department of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (P.P.)
- Institute for Systems Analysis and Computer Science “Antonio Ruberti”, National Research Council, 00185 Rome, Italy
| | - Paola Paci
- Department of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (P.P.)
- Institute for Systems Analysis and Computer Science “Antonio Ruberti”, National Research Council, 00185 Rome, Italy
| | - Anna Rosa Garbuglia
- Virology Laboratory, National Institute for Infectious Diseases “Lazzaro Spallanzani” IRCCS, 00149 Rome, Italy;
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34
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Timme RE, Karsch-Mizrachi I, Waheed Z, Arita M, MacCannell D, Maguire F, Petit III R, Page AJ, Mendes CI, Nasar MI, Oluniyi P, Tyler AD, Raphenya AR, Guthrie JL, Olawoye I, Rinck G, O’Cathail C, Lees J, Cochrane G, Cummins C, Brister JR, Klimke W, Feldgarden M, Griffiths E. Putting everything in its place: using the INSDC compliant Pathogen Data Object Model to better structure genomic data submitted for public health applications. Microb Genom 2023; 9:001145. [PMID: 38085797 PMCID: PMC10763499 DOI: 10.1099/mgen.0.001145] [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: 08/16/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023] Open
Abstract
Fast, efficient public health actions require well-organized and coordinated systems that can supply timely and accurate knowledge. Public databases of pathogen genomic data, such as the International Nucleotide Sequence Database Collaboration (INSDC), have become essential tools for efficient public health decisions. However, these international resources began primarily for academic purposes, rather than for surveillance or interventions. Now, queries need to access not only the whole genomes of multiple pathogens but also make connections using robust contextual metadata to identify issues of public health relevance. Databases that over time developed a patchwork of submission formats and requirements need to be consistently organized and coordinated internationally to allow effective searches.To help resolve these issues, we propose a common pathogen data structure called the Pathogen Data Object Model (DOM) that will formalize the minimum pieces of sequence data and contextual data necessary for general public health uses, while recognizing that submitters will likely withhold a wide range of non-public contextual data. Further, we propose contributors use the Pathogen DOM for all pathogen submissions (bacterial, viral, fungal, and parasites), which will simplify data submissions and provide a consistent and transparent data structure for downstream data analyses. We also highlight how improved submission tools can support the Pathogen DOM, offering users additional easy-to-use methods to ensure this structure is followed.
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Affiliation(s)
- Ruth E. Timme
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD, USA
| | - Ilene Karsch-Mizrachi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Zahra Waheed
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Masanori Arita
- DNA Data Bank of Japan, National Institute of Genetics, Mishima, Japan
| | - Duncan MacCannell
- National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Finlay Maguire
- Department of Community Health & Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, Canada
| | | | - Andrew J. Page
- Quadram Institute Bioscience, Norwich, Norfolk, UK
- Theiagen Genomics LLC, Highlands Ranch, CO, USA
| | | | - Muhammad Ibtisam Nasar
- Department of Biology, College of Science, United Arab Emirates University- Al Ain, Abu Dhabi, UAE
| | - Paul Oluniyi
- Chan Zuckerberg Biohub Network, San Francisco, CA, USA
| | - Andrea D. Tyler
- Science Technology Cores and Services, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Amogelang R. Raphenya
- Department of Biochemistry and Biomedical Sciences and the Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada
| | - Jennifer L. Guthrie
- Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Idowu Olawoye
- Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Gabriele Rinck
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Colman O’Cathail
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - John Lees
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Guy Cochrane
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Carla Cummins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - J. Rodney Brister
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - William Klimke
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Michael Feldgarden
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Emma Griffiths
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
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Wang X, Liu K, Guo Y, Pei Y, Chen X, Lu X, Gao R, Chen Y, Gu M, Hu J, Liu X, Hu S, Jiao XA, Liu X, Wang X. Emergence of a new designated clade 16 with significant antigenic drift in hemagglutinin gene of H9N2 subtype avian influenza virus in eastern China. Emerg Microbes Infect 2023; 12:2249558. [PMID: 37585307 PMCID: PMC10467529 DOI: 10.1080/22221751.2023.2249558] [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: 05/25/2023] [Revised: 07/30/2023] [Accepted: 08/14/2023] [Indexed: 08/18/2023]
Abstract
H9N2 avian influenza viruses (AIVs) pose an increasing threat to the poultry industry worldwide and have pandemic potential. Vaccination has been principal prevention strategy to control H9N2 in China since 1998, but vaccine effectiveness is persistently challenged by the emergence of the genetic and/or antigenic variants. Here, we analysed the genetic and antigenic characteristics of H9N2 viruses in China, including 70 HA sequences of H9N2 isolates from poultry, 7358 from online databases during 2010-2020, and 15 from the early reference strains. Bayesian analyses based on hemagglutinin (HA) gene revealed that a new designated clade16 emerged in April 2012, and was prevalent and co-circulated with clade 15 since 2013 in China. Clade 16 viruses exhibited decreased cross-reactivity with those from clade 15. Antigenic Cartography analyses showed represent strains were classified into three antigenic groups named as Group1, Group2 and Group3, and most of the strains in Group 3 (15/17, 88.2%) were from Clade 16 while most of the strains in Group2 (26/29, 89.7%) were from Clade 15. The mean distance between Group 3 and Group 2 was 4.079 (95%CI 3.605-4.554), revealing that major switches to antigenic properties were observed over the emergence of clade 16. Genetic analysis indicated that 11 coevolving amino acid substitutions primarily at antigenic sites were associated with the antigenic differences between clade 15 and clade 16. These data highlight complexities of the genetic evolution and provide a framework for the genetic basis and antigenic characterization of emerging clade 16 of H9N2 subtype avian influenza virus.
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Affiliation(s)
- Xiyue Wang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
| | - Kaituo Liu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, People’s Republic of China
| | - Yaqian Guo
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
| | - Yuru Pei
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
| | - Xia Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
| | - Xiaolong Lu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Ruyi Gao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Yu Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Min Gu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Jiao Hu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Xiaowen Liu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Shunlin Hu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
| | - Xin-an Jiao
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, People’s Republic of China
| | - Xiufan Liu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, People’s Republic of China
| | - Xiaoquan Wang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, People’s Republic of China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou, People’s Republic of China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, People’s Republic of China
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Song K, Brochu HN, Zhang Q, Williams JD, Iyer LK. An In Silico Analysis of PCR-Based Monkeypox Virus Detection Assays: A Case Study for Ongoing Clinical Surveillance. Viruses 2023; 15:2327. [PMID: 38140568 PMCID: PMC10747849 DOI: 10.3390/v15122327] [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: 10/28/2023] [Revised: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
The 2022 global Mpox outbreak swiftly introduced unforeseen diversity in the monkeypox virus (MPXV) population, resulting in numerous Clade IIb sublineages. This propagation of new MPXV mutations warrants the thorough re-investigation of previously recommended or validated primers designed to target MPXV genomes. In this study, we explored 18 PCR primer sets and examined their binding specificity against 5210 MPXV genomes, representing all the established MPXV lineages. Our results indicated that only five primer sets resulted in almost all perfect matches against the targeted MPXV lineages, and the remaining primer sets all contained 1-2 mismatches against almost all the MPXV lineages. We further investigated the mismatched primer-genome pairs and discovered that some of the primers overlapped with poorly sequenced and assembled regions of the MPXV genomes, which are consistent across multiple lineages. However, we identified 173 99% genome-wide conserved regions across all 5210 MPXV genomes, representing 30 lineages/clades with at least 80% lineage-specific consensus for future primer development and primer binding evaluation. This exercise is crucial to ensure that the current detection schemes are robust and serve as a framework for primer evaluation in clinical testing development for other infectious diseases.
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Affiliation(s)
- Kuncheng Song
- Center of Excellence for Bioinformatics, Data Science and AI, Laboratory Corporation of America Holdings (Labcorp), Burlington, NC 27215, USA; (K.S.); (H.N.B.); (Q.Z.)
| | - Hayden N. Brochu
- Center of Excellence for Bioinformatics, Data Science and AI, Laboratory Corporation of America Holdings (Labcorp), Burlington, NC 27215, USA; (K.S.); (H.N.B.); (Q.Z.)
| | - Qimin Zhang
- Center of Excellence for Bioinformatics, Data Science and AI, Laboratory Corporation of America Holdings (Labcorp), Burlington, NC 27215, USA; (K.S.); (H.N.B.); (Q.Z.)
| | - Jonathan D. Williams
- Labcorp Research and Development, Laboratory Corporation of America Holdings (Labcorp), Burlington, NC 27215, USA;
| | - Lakshmanan K. Iyer
- Center of Excellence for Bioinformatics, Data Science and AI, Laboratory Corporation of America Holdings (Labcorp), Burlington, NC 27215, USA; (K.S.); (H.N.B.); (Q.Z.)
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37
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Prasad R, Ajith H, Kumar Chandrakumaran N, Dnyaneshwar Khangar P, Mohan A, Nelson-Sathi S. In silico study identifies peptide inhibitors that negate the effect of non-synonymous mutations in major drug targets of SARS-CoV-2 variants. J Biomol Struct Dyn 2023; 41:9551-9561. [PMID: 36377464 DOI: 10.1080/07391102.2022.2143426] [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: 09/15/2022] [Accepted: 10/29/2022] [Indexed: 11/16/2022]
Abstract
Since its advent in December 2019, SARS-CoV-2 has diverged into multiple variants with differing levels of virulence owing to the accumulation of mutations in its genome. The structural changes induced by non-synonymous mutations in major drug targets of the virus are known to alter the binding of potential antagonistic inhibitors. Here, we analyzed the effects of non-synonymous mutations in major targets of SARS-CoV-2 in response to potential peptide inhibitors. We screened 12 peptides reported to have anti-viral properties against RBD and 5 peptides against Mpro of SARS-CoV-2 variants using molecular docking and simulation approaches. The mutational landscape of RBD among SARS-CoV-2 variants had 21 non-synonymous mutations across 18 distinct sites. Among these, 14 mutations were present in the RBM region directly interacting with the hACE2 receptor. However, Only 3 non-synonymous mutations were observed in Mpro. We found that LCB1 - a de novo-synthesized peptide has the highest binding affinity to RBD despite non-synonymous mutations in variants and engages key residues of RBD-hACE2 interaction such as K417, E484, N487, and N501. Similarly, an antimicrobial peptide; 2JOS, was identified against Mpro with high binding affinity as it interacts with key residues in dimerization sites such as E166 and F140 crucial for viral replication. MD simulations affirm the stability of RBD-LCB1 and Mpro-2JOS complexes with an average RMSD of 1.902 and 2.476 respectively. We ascertain that LCB1 and 2JOS peptides are promising inhibitors to combat emerging variants of SARS-CoV-2 and thus warrant further investigations using in-vitro and in-vivo analysis.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Roshny Prasad
- Bioinformatics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
| | - Harikrishnan Ajith
- Bioinformatics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
| | | | | | - Anand Mohan
- Bioinformatics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
| | - Shijulal Nelson-Sathi
- Bioinformatics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
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38
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Leeks A, Bono LM, Ampolini EA, Souza LS, Höfler T, Mattson CL, Dye AE, Díaz-Muñoz SL. Open questions in the social lives of viruses. J Evol Biol 2023; 36:1551-1567. [PMID: 37975507 PMCID: PMC11281779 DOI: 10.1111/jeb.14203] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 06/12/2023] [Accepted: 06/21/2023] [Indexed: 11/19/2023]
Abstract
Social interactions among viruses occur whenever multiple viral genomes infect the same cells, hosts, or populations of hosts. Viral social interactions range from cooperation to conflict, occur throughout the viral world, and affect every stage of the viral lifecycle. The ubiquity of these social interactions means that they can determine the population dynamics, evolutionary trajectory, and clinical progression of viral infections. At the same time, social interactions in viruses raise new questions for evolutionary theory, providing opportunities to test and extend existing frameworks within social evolution. Many opportunities exist at this interface: Insights into the evolution of viral social interactions have immediate implications for our understanding of the fundamental biology and clinical manifestation of viral diseases. However, these opportunities are currently limited because evolutionary biologists only rarely study social evolution in viruses. Here, we bridge this gap by (1) summarizing the ways in which viruses can interact socially, including consequences for social evolution and evolvability; (2) outlining some open questions raised by viruses that could challenge concepts within social evolution theory; and (3) providing some illustrative examples, data sources, and conceptual questions, for studying the natural history of social viruses.
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Affiliation(s)
- Asher Leeks
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
- Quantitative Biology Institute, Yale University, New Haven, Connecticut, USA
| | - Lisa M. Bono
- Department of Biological Sciences, Texas Tech University, Lubbock, Texas, USA
| | - Elizabeth A. Ampolini
- Department of Biochemistry & Molecular Biology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lucas S. Souza
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, USA
| | - Thomas Höfler
- Institute of Virology, Freie Universität Berlin, Berlin, Germany
| | - Courtney L. Mattson
- Department of Microbiology and Molecular Genetics, University of California Davis, Davis, California, USA
| | - Anna E. Dye
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, North Carolina, USA
| | - Samuel L. Díaz-Muñoz
- Department of Microbiology and Molecular Genetics, University of California Davis, Davis, California, USA
- Genome Center, University of California Davis, Davis, California, USA
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Barnes M, Price DC. Endogenous Viral Elements in Ixodid Tick Genomes. Viruses 2023; 15:2201. [PMID: 38005880 PMCID: PMC10675110 DOI: 10.3390/v15112201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
The documentation of endogenous viral elements (EVEs; virus-derived genetic material integrated into the genome of a nonviral host) has offered insights into how arthropods respond to viral infection via RNA interference pathways. Small non-coding RNAs derived from EVE loci serve to direct RNAi pathways in limiting replication and infection from cognate viruses, thus benefiting the host's fitness and, potentially, vectorial capacity. Here we use informatic approaches to analyze nine available genome sequences of hard ticks (Acari: Ixodidae; Rhipicephalus sanguineus, R. microplus, R. annulatus, Ixodes ricinus, I. persulcatus, I. scapularis, Hyalomma asiaticum, Haemaphysalis longicornis, and Dermacentor silvarum) to identify endogenous viral elements and to illustrate the shared ancestry of all elements identified. Our results highlight a broad diversity of viral taxa as having given rise to 1234 identified EVEs in ticks, with Mononegavirales (specifically Rhabdoviridae) well-represented in this subset of hard ticks. Further investigation revealed extensive adintovirus integrations in several Ixodes species, the prevalence of Bunyavirales EVEs (notably not observed in mosquitoes), and the presence of several elements similar to known emerging human and veterinary pathogens. These results will inform subsequent work on current and past associations with tick species with regard to the viruses from which their "viral fossils" are derived and may serve as a reference for quality control of various tick-omics data that may suffer from misidentification of EVEs as viral genetic material.
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Affiliation(s)
| | - Dana C. Price
- Center for Vector Biology, Department of Entomology, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA;
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40
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Vogels CB, Hill V, Breban MI, Chaguza C, Paul LM, Sodeinde A, Taylor-Salmon E, Ott IM, Petrone ME, Dijk D, Jonges M, Welkers MR, Locksmith T, Dong Y, Tarigopula N, Tekin O, Schmedes S, Bunch S, Cano N, Jaber R, Panzera C, Stryker I, Vergara J, Zimler R, Kopp E, Heberlein L, Morrison AM, Michael SF, Grubaugh ND. DengueSeq: A pan-serotype whole genome amplicon sequencing protocol for dengue virus. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.13.23296997. [PMID: 37873191 PMCID: PMC10592998 DOI: 10.1101/2023.10.13.23296997] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Background The increasing burden of dengue virus on public health due to more explosive and frequent outbreaks highlights the need for improved surveillance and control. Genomic surveillance of dengue virus not only provides important insights into the emergence and spread of genetically diverse serotypes and genotypes, but it is also critical to monitor the effectiveness of newly implemented control strategies. Here, we present DengueSeq, an amplicon sequencing protocol, which enables whole-genome sequencing of all four dengue virus serotypes. Results We developed primer schemes for the four dengue virus serotypes, which can be combined into a pan-serotype approach. We validated both approaches using genetically diverse virus stocks and clinical specimens that contained a range of virus copies. High genome coverage (>95%) was achieved for all genotypes, except DENV2 (genotype VI) and DENV 4 (genotype IV) sylvatics, with similar performance of the serotype-specific and pan-serotype approaches. The limit of detection to reach 70% coverage was 101-102 RNA copies/μL for all four serotypes, which is similar to other commonly used primer schemes. DengueSeq facilitates the sequencing of samples without known serotypes, allows the detection of multiple serotypes in the same sample, and can be used with a variety of library prep kits and sequencing instruments. Conclusions DengueSeq was systematically evaluated with virus stocks and clinical specimens spanning the genetic diversity within each of the four dengue virus serotypes. The primer schemes can be plugged into existing amplicon sequencing workflows to facilitate the global need for expanded dengue virus genomic surveillance.
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Affiliation(s)
- Chantal B.F. Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, United States of America
| | - Verity Hill
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Mallery I. Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, United States of America
| | - Lauren M. Paul
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, United States of America
| | - Afeez Sodeinde
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Emma Taylor-Salmon
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Isabel M. Ott
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Mary E. Petrone
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- Sydney Institute for Infectious Diseases, School of Medical Sciences, University of Sydney, NSW, Australia
| | - Dennis Dijk
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC location AMC, Amsterdam, The Netherlands
| | - Marcel Jonges
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC location AMC, Amsterdam, The Netherlands
| | - Matthijs R.A. Welkers
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC location AMC, Amsterdam, The Netherlands
- Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands
| | - Timothy Locksmith
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Yibo Dong
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, United States of America
| | - Namratha Tarigopula
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, United States of America
| | - Omer Tekin
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, United States of America
| | - Sarah Schmedes
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, United States of America
| | - Sylvia Bunch
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Natalia Cano
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Rayah Jaber
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Charles Panzera
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Ian Stryker
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Julieta Vergara
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Rebecca Zimler
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, United States of America
| | - Edgar Kopp
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Lea Heberlein
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, United States of America
| | - Andrea M. Morrison
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, United States of America
| | - Scott F. Michael
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, United States of America
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, United States of America
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America
- Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America
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41
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Li C, Ma L, Zou D, Zhang R, Bai X, Li L, Wu G, Huang T, Zhao W, Jin E, Bao Y, Song S. RCoV19: A One-stop Hub for SARS-CoV-2 Genome Data Integration, Variant Monitoring, and Risk Pre-warning. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:1066-1079. [PMID: 37898309 PMCID: PMC10928372 DOI: 10.1016/j.gpb.2023.10.004] [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: 06/09/2023] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 10/30/2023]
Abstract
The Resource for Coronavirus 2019 (RCoV19) is an open-access information resource dedicated to providing valuable data on the genomes, mutations, and variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this updated implementation of RCoV19, we have made significant improvements and advancements over the previous version. Firstly, we have implemented a highly refined genome data curation model. This model now features an automated integration pipeline and optimized curation rules, enabling efficient daily updates of data in RCoV19. Secondly, we have developed a global and regional lineage evolution monitoring platform, alongside an outbreak risk pre-warning system. These additions provide a comprehensive understanding of SARS-CoV-2 evolution and transmission patterns, enabling better preparedness and response strategies. Thirdly, we have developed a powerful interactive mutation spectrum comparison module. This module allows users to compare and analyze mutation patterns, assisting in the detection of potential new lineages. Furthermore, we have incorporated a comprehensive knowledgebase on mutation effects. This knowledgebase serves as a valuable resource for retrieving information on the functional implications of specific mutations. In summary, RCoV19 serves as a vital scientific resource, providing access to valuable data, relevant information, and technical support in the global fight against COVID-19. The complete contents of RCoV19 are available to the public at https://ngdc.cncb.ac.cn/ncov/.
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Affiliation(s)
- Cuiping Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Lina Ma
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dong Zou
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Rongqin Zhang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xue Bai
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Lun Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Gangao Wu
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianhao Huang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Zhao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Enhui Jin
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiming Bao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Shuhui Song
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China.
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Sherlock ME, Langeberg CJ, Segar KE, Kieft JS. A conserved class of viral RNA structures regulate translation reinitiation through dynamic ribosome interactions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560040. [PMID: 37808774 PMCID: PMC10557763 DOI: 10.1101/2023.09.29.560040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Certain viral RNAs encode proteins downstream of the main protein coding region, expressed through "termination-reinitiation" events, dependent on RNA structure. RNA elements located upstream of the first stop codon within these viral mRNAs bind the ribosome, preventing ribosome recycling and inducing reinitiation. We used bioinformatic methods to identify new examples of viral reinitiation-stimulating RNAs and experimentally verified their secondary structure and function. We determined the structure of a representative viral RNA-ribosome complex using cryoEM. 3D classification and variability analyses reveal that the viral RNA structure can sample a range of conformations while remaining tethered to the ribosome, which enabling the ribosome to find a reinitiation start site within a limited range of mRNA sequence. Evaluating the conserved features and constraints of this entire RNA class in the context of the cryoEM reconstruction provides insight into mechanisms enabling reinitiation, a translation regulation strategy employed by many other viral and eukaryotic systems.
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Rios Galicia B, Sáenz JS, Yergaliyev T, Camarinha-Silva A, Seifert J. Host specific adaptations of Ligilactobacillus aviarius to poultry. CURRENT RESEARCH IN MICROBIAL SCIENCES 2023; 5:100199. [PMID: 37727231 PMCID: PMC10505982 DOI: 10.1016/j.crmicr.2023.100199] [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] [Indexed: 09/21/2023] Open
Abstract
The genus Ligilactobacillus encompasses species adapted to vertebrate hosts and fermented food. Their genomes encode adaptations to the host lifestyle. Reports of gut microbiota from chicken and turkey gastrointestinal tract have shown a high persistence of Ligilactobacillus aviarius along the digestive system compared to other species found in the same host. However, its adaptations to poultry as a host has not yet been described. In this work, the pan-genome of Ligilactobacillus aviarius was explored to describe the functional adaptability to the gastrointestinal environment. The core genome is composed of 1179 gene clusters that are present at least in one copy that codifies to structural, ribosomal and biogenesis proteins. The rest of the identified regions were classified into three different functional clusters of orthologous groups (clusters) that codify carbohydrate metabolism, envelope biogenesis, viral defence mechanisms, and mobilome inclusions. The pan-genome of Ligilactobacillus aviarius is a closed pan-genome, frequently found in poultry and highly prevalent across chicken faecal samples. The genome of L. aviarius codifies different clusters of glycoside hydrolases and glycosyltransferases that mediate interactions with the host cells. Accessory features, such as antiviral mechanisms and prophage inclusions, variate amongst strains from different GIT sections. This information provides hints about the interaction of this species with viral particles and other bacterial species. This work highlights functional adaptability traits present in L. aviarius that make it a dominant key member of the poultry gut microbiota and enlightens the convergent ecological relation of this species to the poultry gut environment.
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Affiliation(s)
- Bibiana Rios Galicia
- Institute of Animal Science, University of Hohenheim, Emil-Wolff-Str. 6-10, Stuttgart 70593, Germany
- HoLMiR-Hohenheim Center for Livestock Microbiome Research, University of Hohenheim, Leonore-Blosser-Reisen Weg 3, Stuttgart 70593, Germany
| | - Johan Sebastian Sáenz
- Institute of Animal Science, University of Hohenheim, Emil-Wolff-Str. 6-10, Stuttgart 70593, Germany
- HoLMiR-Hohenheim Center for Livestock Microbiome Research, University of Hohenheim, Leonore-Blosser-Reisen Weg 3, Stuttgart 70593, Germany
| | - Timur Yergaliyev
- Institute of Animal Science, University of Hohenheim, Emil-Wolff-Str. 6-10, Stuttgart 70593, Germany
- HoLMiR-Hohenheim Center for Livestock Microbiome Research, University of Hohenheim, Leonore-Blosser-Reisen Weg 3, Stuttgart 70593, Germany
| | - Amélia Camarinha-Silva
- Institute of Animal Science, University of Hohenheim, Emil-Wolff-Str. 6-10, Stuttgart 70593, Germany
- HoLMiR-Hohenheim Center for Livestock Microbiome Research, University of Hohenheim, Leonore-Blosser-Reisen Weg 3, Stuttgart 70593, Germany
| | - Jana Seifert
- Institute of Animal Science, University of Hohenheim, Emil-Wolff-Str. 6-10, Stuttgart 70593, Germany
- HoLMiR-Hohenheim Center for Livestock Microbiome Research, University of Hohenheim, Leonore-Blosser-Reisen Weg 3, Stuttgart 70593, Germany
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Pereira PDC, Diniz DG, da Costa ER, Magalhães NGDM, da Silva ADJF, Leite JGS, Almeida NIP, Cunha KDN, de Melo MAD, Vasconcelos PFDC, Diniz JAP, Brites D, Anthony DC, Diniz CWP, Guerreiro-Diniz C. Genes, inflammatory response, tolerance, and resistance to virus infections in migratory birds, bats, and rodents. Front Immunol 2023; 14:1239572. [PMID: 37711609 PMCID: PMC10497949 DOI: 10.3389/fimmu.2023.1239572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023] Open
Abstract
Normally, the host immunological response to viral infection is coordinated to restore homeostasis and protect the individual from possible tissue damage. The two major approaches are adopted by the host to deal with the pathogen: resistance or tolerance. The nature of the responses often differs between species and between individuals of the same species. Resistance includes innate and adaptive immune responses to control virus replication. Disease tolerance relies on the immune response allowing the coexistence of infections in the host with minimal or no clinical signs, while maintaining sufficient viral replication for transmission. Here, we compared the virome of bats, rodents and migratory birds and the molecular mechanisms underlying symptomatic and asymptomatic disease progression. We also explore the influence of the host physiology and environmental influences on RNA virus expression and how it impacts on the whole brain transcriptome of seemingly healthy semipalmated sandpiper (Calidris pusilla) and spotted sandpiper (Actitis macularius). Three time points throughout the year were selected to understand the importance of longitudinal surveys in the characterization of the virome. We finally revisited evidence that upstream and downstream regulation of the inflammatory response is, respectively, associated with resistance and tolerance to viral infections.
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Affiliation(s)
- Patrick Douglas Corrêa Pereira
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Daniel Guerreiro Diniz
- Seção de Hepatologia, Laboratório de Microscopia Eletrônica, Instituto Evandro Chagas, Belém, Pará, Brazil
- Instituto de Ciências Biológicas, Hospital Universitário João de Barros Barreto, Laboratório de Investigações em Neurodegeneração e Infecção, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Emanuel Ramos da Costa
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
- Instituto de Ciências Biológicas, Hospital Universitário João de Barros Barreto, Laboratório de Investigações em Neurodegeneração e Infecção, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Nara Gyzely de Morais Magalhães
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Anderson de Jesus Falcão da Silva
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Jéssica Gizele Sousa Leite
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Natan Ibraim Pires Almeida
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Kelle de Nazaré Cunha
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Mauro André Damasceno de Melo
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
| | - Pedro Fernando da Costa Vasconcelos
- Centro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Pará, Brazil
- Seção de Arbovirologia e Febres Hemorrágicas, Instituto Evandro Chagas, Ananindeua, Pará, Brazil
| | - José Antonio Picanço Diniz
- Seção de Hepatologia, Laboratório de Microscopia Eletrônica, Instituto Evandro Chagas, Belém, Pará, Brazil
| | - Dora Brites
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
- Department of Pharmaceutical Sciences and Medicines, Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Daniel Clive Anthony
- Department of Pharmacology, Laboratory of Experimental Neuropathology, University of Oxford, Oxford, United Kingdom
| | - Cristovam Wanderley Picanço Diniz
- Instituto de Ciências Biológicas, Hospital Universitário João de Barros Barreto, Laboratório de Investigações em Neurodegeneração e Infecção, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Cristovam Guerreiro-Diniz
- Ciência e Tecnologia do Pará, Laboratório de Biologia Molecular e Neuroecologia, Instituto Federal de Educação, Bragança, Pará, Brazil
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Ritsch M, Cassman NA, Saghaei S, Marz M. Navigating the Landscape: A Comprehensive Review of Current Virus Databases. Viruses 2023; 15:1834. [PMID: 37766241 PMCID: PMC10537806 DOI: 10.3390/v15091834] [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: 07/04/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Viruses are abundant and diverse entities that have important roles in public health, ecology, and agriculture. The identification and surveillance of viruses rely on an understanding of their genome organization, sequences, and replication strategy. Despite technological advancements in sequencing methods, our current understanding of virus diversity remains incomplete, highlighting the need to explore undiscovered viruses. Virus databases play a crucial role in providing access to sequences, annotations and other metadata, and analysis tools for studying viruses. However, there has not been a comprehensive review of virus databases in the last five years. This study aimed to fill this gap by identifying 24 active virus databases and included an extensive evaluation of their content, functionality and compliance with the FAIR principles. In this study, we thoroughly assessed the search capabilities of five database catalogs, which serve as comprehensive repositories housing a diverse array of databases and offering essential metadata. Moreover, we conducted a comprehensive review of different types of errors, encompassing taxonomy, names, missing information, sequences, sequence orientation, and chimeric sequences, with the intention of empowering users to effectively tackle these challenges. We expect this review to aid users in selecting suitable virus databases and other resources, and to help databases in error management and improve their adherence to the FAIR principles. The databases listed here represent the current knowledge of viruses and will help aid users find databases of interest based on content, functionality, and scope. The use of virus databases is integral to gaining new insights into the biology, evolution, and transmission of viruses, and developing new strategies to manage virus outbreaks and preserve global health.
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Affiliation(s)
- Muriel Ritsch
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Noriko A. Cassman
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Shahram Saghaei
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Manja Marz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- FLI Leibniz Institute for Age Research, 07745 Jena, Germany
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46
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Pereira PDC, Henrique EP, da Costa ER, Falcão ADJ, de Melo MAD, Schneider MPC, Burbano RMR, Diniz DG, Magalhães NGDM, Sherry DF, Diniz CWP, Guerreiro-Diniz C. Molecular Changes in the Brain of the Wintering Calidris pusilla in the Mangroves of the Amazon River Estuary. Int J Mol Sci 2023; 24:12712. [PMID: 37628893 PMCID: PMC10454129 DOI: 10.3390/ijms241612712] [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: 06/30/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
Migrant birds prepare differently to fly north for breeding in the spring and for the flight to lower latitudes during autumn, avoiding the cold and food shortages of the Northern Hemisphere's harsh winter. The molecular events associated with these fundamental stages in the life history of migrants include the differential gene expression in different tissues. Semipalmated sandpipers (Calidris pusilla) are Arctic-breeding shorebirds that migrate to the coast of South America during the non-breeding season. In a previous study, we demonstrated that between the beginning and the end of the wintering period, substantial glial changes and neurogenesis occur in the brain of C. pusilla. These changes follow the epic journey of the autumn migration when a 5-day non-stop transatlantic flight towards the coast of South America and the subsequent preparation for the long-distance flight of the spring migration takes place. Here, we tested the hypothesis that the differential gene expressions observed in the brains of individuals captured in the autumn and spring windows are consistent with the previously described cellular changes. We searched for differential gene expressions in the brain of the semipalmated sandpiper, of recently arrived birds (RA) from the autumnal migration, and that of individuals in the premigratory period (PM) in the spring. All individuals were collected in the tropical coastal of northern Brazil in the mangrove region of the Amazon River estuary. We generated a de novo neurotranscriptome for C. pusilla individuals and compared the gene expressions across libraries. To that end, we mapped an RNA-Seq that reads to the C. pusilla neurotranscriptome in four brain samples of each group and found that the differential gene expressions in newly arrived and premigratory birds were related with neurogenesis, metabolic pathways (ketone body biosynthetic and the catabolic and lipid biosynthetic processes), and glial changes (astrocyte-dopaminergic neuron signaling, astrocyte differentiation, astrocyte cell migration, and astrocyte activation involved in immune response), as well as genes related to the immune response to virus infections (Type I Interferons), inflammatory cytokines (IL-6, IL-1β, TNF, and NF-κB), NLRP3 inflammasome, anti-inflammatory cytokines (IL-10), and cell death pathways (pyroptosis- and caspase-related changes).
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Affiliation(s)
- Patrick Douglas Corrêa Pereira
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | - Ediely Pereira Henrique
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | - Emanuel Ramos da Costa
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | - Anderson de Jesus Falcão
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | - Mauro André Damasceno de Melo
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | | | | | - Daniel Guerreiro Diniz
- Laboratório de Investigações em Neurodegeneração e Infecção, Hospital Universitário João de Barros Barreto, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, PA, Brazil
- Laboratório de Microscopia Eletrônica, Seção de Hepatologia, Instituto Evandro Chagas, Belém 66093-020, PA, Brazil
| | - Nara Gyzely de Morais Magalhães
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
| | - David Francis Sherry
- Department of Psychology, Advanced Facility for Avian Research, University of Western Ontario, London, ON N6G 1G9, Canada
| | - Cristovam Wanderley Picanço Diniz
- Laboratório de Investigações em Neurodegeneração e Infecção, Hospital Universitário João de Barros Barreto, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém 66075-110, PA, Brazil
| | - Cristovam Guerreiro-Diniz
- Laboratório de Biologia Molecular e Neuroecologia, Campus Bragança, Instituto Federal de Educação, Ciência e Tecnologia do Pará, Bragança 68600-000, PA, Brazil; (P.D.C.P.)
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Hepp B, Lorieux F, Degaugue A, Oberto J. VAPEX: an interactive web server for the deep exploration of natural virus and phage genomes. Bioinformatics 2023; 39:btad528. [PMID: 37624923 PMCID: PMC10471898 DOI: 10.1093/bioinformatics/btad528] [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: 05/11/2023] [Revised: 08/08/2023] [Accepted: 08/23/2023] [Indexed: 08/27/2023] Open
Abstract
MOTIVATION Studying the genetic makeup of viruses and phages through genome analysis is crucial for comprehending their function in causing diseases, progressing medicine, tracing their evolutionary history, monitoring the environment, and creating innovative biotechnologies. However, accessing the necessary data can be challenging due to a lack of dedicated comparative genomic tools and viral and phage databases, which are often outdated. Moreover, many wet bench experimentalists may not have the computational proficiency required to manipulate large amounts of genomic data. RESULTS We have developed VAPEX (Virus And Phage EXplorer), a web server which is supported by a database and features a user-friendly web interface. This tool enables users to easily perform various genomic analysis queries on all natural viruses and phages that have been fully sequenced and are listed in the NCBI compendium. VAPEX therefore excels in producing visual depictions of fully resolved synteny maps, which is one of its key strengths. VAPEX has the ability to exhibit a vast array of orthologous gene classes simultaneously through the use of symbolic representation. Additionally, VAPEX can fully analyze user-submitted viral and phage genomes, including those that have not yet been annotated. AVAILABILITY AND IMPLEMENTATION VAPEX can be accessed from all current web browsers such as Chrome, Firefox, Edge, Safari, and Opera. VAPEX is freely accessible at https://archaea.i2bc.paris-saclay.fr/vapex/.
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Affiliation(s)
- Benjamin Hepp
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris‐Saclay, 91198 Gif‐sur‐Yvette cedex, France
| | - Florence Lorieux
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris‐Saclay, 91198 Gif‐sur‐Yvette cedex, France
| | - Augustin Degaugue
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris‐Saclay, 91198 Gif‐sur‐Yvette cedex, France
| | - Jacques Oberto
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris‐Saclay, 91198 Gif‐sur‐Yvette cedex, France
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Pilapil JD, Notarte KI, Yeung KL. The dominance of co-circulating SARS-CoV-2 variants in wastewater. Int J Hyg Environ Health 2023; 253:114224. [PMID: 37523818 DOI: 10.1016/j.ijheh.2023.114224] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 07/12/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023]
Abstract
SARS-CoV-2 remains one of the biggest global health problems, which has already reached our wastewater through fecal shedding by COVID-19 patients. While the development of vaccines has mitigated the threats of the COVID-19 pandemic, the evolutionary dynamics of SARS-CoV-2 in wastewater lack monitoring and understanding. In this study, SARS-CoV-2 variants in wastewater were identified by analyzing 8511 wastewater-derived genome sequences from 9 countries from March 2020 to May 2023. The dominance of co-circulating variants was observed, namely B.1 in 2020, Alpha and Delta in 2021, then superseded by Omicron lineages in 2022 with a three-times increase. Mutations were also profiled, revealing nearly 5031 unique amino acid substitutions occurring approximately 371,591 times, some of which were associated with enhanced viral transmission and fitness. This study provided the first long-term multi-country overview of the prevalence of co-circulating SARS-CoV-2 lineages and mutations in wastewater and showed its comparison with conventional epidemiological surveillance. The results highlight the ability of wastewater-based genome monitoring to supplement clinical surveillance efforts in rapidly detecting viruses up to the strain level to keep track of their potential transmission routes and evolutionary dynamics.
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Affiliation(s)
- John David Pilapil
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China.
| | - Kin Israel Notarte
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - King Lun Yeung
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
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49
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Gonzalez-Isunza G, Jawaid MZ, Liu P, Cox DL, Vazquez M, Arsuaga J. Using machine learning to detect coronaviruses potentially infectious to humans. Sci Rep 2023; 13:9319. [PMID: 37291260 PMCID: PMC10248971 DOI: 10.1038/s41598-023-35861-7] [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: 01/10/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023] Open
Abstract
Establishing the host range for novel viruses remains a challenge. Here, we address the challenge of identifying non-human animal coronaviruses that may infect humans by creating an artificial neural network model that learns from spike protein sequences of alpha and beta coronaviruses and their binding annotation to their host receptor. The proposed method produces a human-Binding Potential (h-BiP) score that distinguishes, with high accuracy, the binding potential among coronaviruses. Three viruses, previously unknown to bind human receptors, were identified: Bat coronavirus BtCoV/133/2005 and Pipistrellus abramus bat coronavirus HKU5-related (both MERS related viruses), and Rhinolophus affinis coronavirus isolate LYRa3 (a SARS related virus). We further analyze the binding properties of BtCoV/133/2005 and LYRa3 using molecular dynamics. To test whether this model can be used for surveillance of novel coronaviruses, we re-trained the model on a set that excludes SARS-CoV-2 and all viral sequences released after the SARS-CoV-2 was published. The results predict the binding of SARS-CoV-2 with a human receptor, indicating that machine learning methods are an excellent tool for the prediction of host expansion events.
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Affiliation(s)
| | - M Zaki Jawaid
- Department of Physics, University of California, Davis, USA
| | - Pengyu Liu
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA, USA
| | - Daniel L Cox
- Department of Physics, University of California, Davis, USA
| | - Mariel Vazquez
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA, USA
- Department of Mathematics, University of California, Davis, CA, USA
| | - Javier Arsuaga
- Department of Molecular and Cellular Biology, University of California, Davis, CA, USA.
- Department of Mathematics, University of California, Davis, CA, USA.
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50
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Lamy-Besnier Q, Bignaud A, Garneau JR, Titecat M, Conti DE, Von Strempel A, Monot M, Stecher B, Koszul R, Debarbieux L, Marbouty M. Chromosome folding and prophage activation reveal specific genomic architecture for intestinal bacteria. MICROBIOME 2023; 11:111. [PMID: 37208714 PMCID: PMC10197239 DOI: 10.1186/s40168-023-01541-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/04/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Bacteria and their viruses, bacteriophages, are the most abundant entities of the gut microbiota, a complex community of microorganisms associated with human health and disease. In this ecosystem, the interactions between these two key components are still largely unknown. In particular, the impact of the gut environment on bacteria and their associated prophages is yet to be deciphered. RESULTS To gain insight into the activity of lysogenic bacteriophages within the context of their host genomes, we performed proximity ligation-based sequencing (Hi-C) in both in vitro and in vivo conditions on the 12 bacterial strains of the OMM12 synthetic bacterial community stably associated within mice gut (gnotobiotic mouse line OMM12). High-resolution contact maps of the chromosome 3D organization of the bacterial genomes revealed a wide diversity of architectures, differences between environments, and an overall stability over time in the gut of mice. The DNA contacts pointed at 3D signatures of prophages leading to 16 of them being predicted as functional. We also identified circularization signals and observed different 3D patterns between in vitro and in vivo conditions. Concurrent virome analysis showed that 11 of these prophages produced viral particles and that OMM12 mice do not carry other intestinal viruses. CONCLUSIONS The precise identification by Hi-C of functional and active prophages within bacterial communities will unlock the study of interactions between bacteriophages and bacteria across conditions (healthy vs disease). Video Abstract.
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Affiliation(s)
- Quentin Lamy-Besnier
- Institut Pasteur, Université Paris Cité, CNRS UMR6047, Bacteriophage Bacterium Host, 25-28 Rue du Dr Roux, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Spatial Regulation of Genomes Group, CNRS UMR 3525, 25-28 Rue du Dr Roux, 75015, Paris, France
| | - Amaury Bignaud
- Institut Pasteur, Université Paris Cité, Spatial Regulation of Genomes Group, CNRS UMR 3525, 25-28 Rue du Dr Roux, 75015, Paris, France
- Sorbonne Université, Collège Doctoral, Paris, France
| | - Julian R Garneau
- Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France
| | - Marie Titecat
- Institut Pasteur, Université Paris Cité, CNRS UMR6047, Bacteriophage Bacterium Host, 25-28 Rue du Dr Roux, 75015, Paris, France
- Université de Lille, INSERM, CHU Lille, U1286-INFINITE-Institute for Translational Research in Inflammation, Lille, 59000, France
| | - Devon E Conti
- Institut Pasteur, Université Paris Cité, CNRS UMR6047, Bacteriophage Bacterium Host, 25-28 Rue du Dr Roux, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Spatial Regulation of Genomes Group, CNRS UMR 3525, 25-28 Rue du Dr Roux, 75015, Paris, France
- Sorbonne Université, Collège Doctoral, Paris, France
| | - Alexandra Von Strempel
- Max Von Pettenkofer Institute of Hygiene and Medical Microbiology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Marc Monot
- Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015, Paris, France
| | - Bärbel Stecher
- Max Von Pettenkofer Institute of Hygiene and Medical Microbiology, Faculty of Medicine, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site LMU Munich, Munich, Germany
| | - Romain Koszul
- Institut Pasteur, Université Paris Cité, Spatial Regulation of Genomes Group, CNRS UMR 3525, 25-28 Rue du Dr Roux, 75015, Paris, France
| | - Laurent Debarbieux
- Institut Pasteur, Université Paris Cité, CNRS UMR6047, Bacteriophage Bacterium Host, 25-28 Rue du Dr Roux, 75015, Paris, France.
| | - Martial Marbouty
- Institut Pasteur, Université Paris Cité, Spatial Regulation of Genomes Group, CNRS UMR 3525, 25-28 Rue du Dr Roux, 75015, Paris, France.
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