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      Human Anelloviruses: Influence of Demographic Factors, Recombination, and Worldwide Diversity

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          ABSTRACT

          Anelloviruses represent the major and most diverse component of the healthy human virome, referred to as the anellome. In this study, we determined the anellome of 50 blood donors, forming two sex- and age-matched groups. Anelloviruses were detected in 86% of the donors. The number of detected anelloviruses increased with age and was approximately twice as high in men as in women. A total of 349 complete or nearly complete genomes were classified as belonging to torque teno virus (TTV), torque teno mini virus (TTMV), and torque teno midi virus (TTMDV) anellovirus genera (197, 88, and 64 sequences, respectively). Most donors had intergenus (69.8%) or intragenus (72.1%) coinfections. Despite the limited number of sequences, intradonor recombination analysis showed 6 intragenus recombination events in ORF1. As thousands of anellovirus sequences have been described recently, we finally analyzed the global diversity of human anelloviruses. Species richness and diversity were close to saturation in each anellovirus genus. Recombination was found to be the main factor promoting diversity, although its effect was significantly lower in TTV than in TTMV and TTMDV. Overall, our results suggest that differences in diversity between genera may be caused by variations in the relative contribution of recombination.

          IMPORTANCE Anelloviruses are the most common human infectious viruses and are considered essentially harmless. Compared to other human viruses, they are characterized by enormous diversity, and recombination is suggested to play an important role in their diversification and evolution. Here, by analyzing the composition of the plasma anellome of 50 blood donors, we find that recombination is also a determinant of viral evolution at the intradonor level. On a larger scale, analysis of anellovirus sequences currently available in databases shows that their diversity is close to saturation and differs among the three human anellovirus genera and that recombination is the main factor explaining this intergenus variability. Global characterization of anellovirus diversity could provide clues about possible associations between certain virus variants and pathologies, as well as facilitate the implementation of unbiased PCR-based detection protocols, which may be relevant for using anelloviruses as endogenous markers of immune status.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

            Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Contributors
                Role: Editor
                Role: ad hoc peer reviewer
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                18 May 2023
                May-Jun 2023
                18 May 2023
                : 11
                : 3
                : e04928-22
                Affiliations
                [a ] Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain
                [b ] FISABIO-Salud Pública, Generalitat Valenciana, Valencia, Spain
                [c ] Centro de Transfusión de la Comunidad Valenciana, Valencia, Spain
                [d ] Genomic and Health Area, Foundation for the Promotion of Sanitary and Biomedical Research of the Valencia Region (FISABIO), Valencia, Spain
                [e ] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBEResp), Madrid, Spain
                [f ] Department of Genetics, Universitat de València, Valencia, Spain
                Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS
                Fujian Agriculture and Forestry University
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-2049-3554
                https://orcid.org/0000-0003-3423-5118
                Article
                04928-22 spectrum.04928-22
                10.1128/spectrum.04928-22
                10269794
                37199659
                6b52d518-bd1b-47b2-8535-3ed9563da6cf
                Copyright © 2023 Cebriá-Mendoza et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 18 January 2023
                : 5 May 2023
                Page count
                supplementary-material: 0, Figures: 4, Tables: 3, Equations: 0, References: 62, Pages: 12, Words: 8345
                Funding
                Funded by: Spanish Ministerio de Economia, Industria y Competitividad (MINECO) cofinanced by FEDER funds;
                Award ID: SAF2017-82287-R
                Award Recipient :
                Funded by: Generalitat Valenciana (GVA), FundRef https://doi.org/10.13039/501100003359;
                Award ID: AICO/2021/085
                Award Recipient : Award Recipient :
                Categories
                Research Article
                open-peer-review, Open Peer Review
                evolution, Evolution
                Custom metadata
                May/June 2023

                anellovirus,blood anellome,recombination,metagenomics,virome

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