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      Monkeypox virus (MPXV) genomics: A mutational and phylogenomic analyses of B.1 lineages

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          Abstract

          The recent increase in monkeypox (MPX) cases has attracted attention of public health authorities due to its quick spread and transmission across non-endemic regions. This outbreak, unlike previous ones, displays different epidemiological features and transmission dynamics, which appear to be largely influenced by the newly divergent MPX lineages (B.1). Yet, the genomic characteristics driving the high dispersal and diversification of these lineages remain largely unknown. Herein, we sought to explore and characterize the genomic features and phylogenetic diversity of the B.1 lineages through a comparative genomic analysis inclusive of 1900 high quality complete MPXV genomes. Our analyses indicate that the current MPXV-2022 outbreak encompasses thirteen derived lineages with ten unique non-synonymous mutations in several genes linked to immune evasion, virulence factors and host recognition. Such mutations may translate in the rapid evolution and diversification of current MPXV lineages. Moreover, our analyses uncovered signals of genomic modifications suggestive of immune-modulatory enzymatic activity, such as APOBEC3 editing, which, as previously suggested could have favored evolutionary trends leading to the rapid spread of MPXV into non-endemic countries. Genomic surveillance continues to play a major role in unveiling the genomic signatures signaling potential adaptation of this emerging MPXV lineage and how it will continue to impact public health in the near future.

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          Most cited references16

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          Is Open Access

          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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            Is Open Access

            Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation

            The Interactive Tree Of Life ( https://itol.embl.de ) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. iTOL version 5 introduces a completely new tree display engine, together with numerous new features. For example, a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones. Node metadata display options have been extended and now also support non-numerical categorical values, as well as multiple values per node. Direct manual annotation is now available, providing a set of basic drawing and labeling tools, allowing users to draw shapes, labels and other features by hand directly onto the trees. Support for tree and dataset scales has been extended, providing fine control over line and label styles. Unrooted tree displays can now use the equal-daylight algorithm, proving a much greater display clarity. The user account system has been streamlined and expanded with new navigation options and currently handles >1 million trees from >70 000 individual users. Graphical Abstract iTOL: an online tool for the tree display and annotation.
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              • Abstract: found
              • Article: found
              Is Open Access

              TreeTime: Maximum-likelihood phylodynamic analysis

              Abstract Mutations that accumulate in the genome of cells or viruses can be used to infer their evolutionary history. In the case of rapidly evolving organisms, genomes can reveal their detailed spatiotemporal spread. Such phylodynamic analyses are particularly useful to understand the epidemiology of rapidly evolving viral pathogens. As the number of genome sequences available for different pathogens has increased dramatically over the last years, phylodynamic analysis with traditional methods becomes challenging as these methods scale poorly with growing datasets. Here, we present TreeTime, a Python-based framework for phylodynamic analysis using an approximate Maximum Likelihood approach. TreeTime can estimate ancestral states, infer evolution models, reroot trees to maximize temporal signals, estimate molecular clock phylogenies and population size histories. The runtime of TreeTime scales linearly with dataset size.
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                Author and article information

                Journal
                Travel Med Infect Dis
                Travel Med Infect Dis
                Travel Medicine and Infectious Disease
                The Authors. Published by Elsevier Ltd.
                1477-8939
                1873-0442
                23 February 2023
                March-April 2023
                23 February 2023
                : 52
                : 102551
                Affiliations
                [a ]Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
                [b ]Research Unit, Universidad Continental, Huancayo, Peru
                [c ]Latin American Network of Monkeypox Virus Research (LAMOVI), Pereira, Risaralda, Colombia
                [d ]Molecular Microbiology Laboratory, Department of Pathology, Molecular and Cell-based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
                Author notes
                []Corresponding author. Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
                Article
                S1477-8939(23)00011-X 102551
                10.1016/j.tmaid.2023.102551
                9946793
                36746267
                db1066d0-7c7b-4b69-b535-b9337806cf0c
                © 2023 The Authors

                Elsevier has created a Monkeypox Information Center (https://www.elsevier.com/connect/monkeypox-information-center) in response to the declared public health emergency of international concern, with free information in English on the monkeypox virus. The Monkeypox Information Center is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its monkeypox related research that is available on the Monkeypox Information Center - including this research content - immediately available in publicly funded repositories, with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the Monkeypox Information Center remains active.

                History
                : 19 December 2022
                : 25 January 2023
                : 3 February 2023
                Categories
                Article

                Infectious disease & Microbiology
                monkeypox virus,phylogenomic and mutational analyses,b.1 lineages,apobec3 activity,mpxv proteins

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