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      Surveillance and Genetic Characterization of Virulent Newcastle Disease Virus Subgenotype V.3 in Indigenous Chickens from Backyard Poultry Farms and Live Bird Markets in Kenya

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          Abstract

          Kenyan poultry consists of ~80% free-range indigenous chickens kept in small flocks (~30 birds) on backyard poultry farms (BPFs) and they are traded via live bird markets (LBMs). Newcastle disease virus (NDV) was detected in samples collected from chickens, wild farm birds, and other domestic poultry species during a 2017–2018 survey conducted at 66 BPFs and 21 LBMs in nine Kenyan counties. NDV nucleic acids were detected by rRT-PCR L-test in 39.5% (641/1621) of 1621 analyzed samples, of which 9.67% (62/641) were NDV-positive by both the L-test and a fusion-test designed to identify the virulent virus, with a majority being at LBMs (64.5%; 40/62) compared to BPFs (25.5%; 22/62). Virus isolation and next-generation sequencing (NGS) on a subset of samples resulted in 32 complete NDV genome sequences with 95.8–100% nucleotide identities amongst themselves and 95.7-98.2% identity with other east African isolates from 2010-2016. These isolates were classified as a new sub-genotype, V.3, and shared 86.5–88.9% and 88.5–91.8% nucleotide identities with subgenotypes V.1 and V.2 viruses, respectively. The putative fusion protein cleavage site ( 113 R-Q- K-R↓F 117) in all 32 isolates, and a 1.86 ICPI score of an isolate from a BPF chicken that had clinical signs consistent with Newcastle disease, confirmed the high virulence of the NDVs. Compared to genotypes V and VI viruses, the attachment (HN) protein of 18 of the 32 vNDVs had amino acid substitutions in the antigenic sites. A time-scaled phylogeographic analysis suggests a west-to-east dispersal of the NDVs via the live chicken trade, but the virus origins remain unconfirmed due to scarcity of continuous and systematic surveillance data. This study reveals the widespread prevalence of vNDVs in Kenyan backyard poultry, the central role of LBMs in the dispersal and possibly generation of new virus variants, and the need for robust molecular epidemiological surveillance in poultry and non-poultry avian species.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

              Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                13 January 2021
                January 2021
                : 13
                : 1
                : 103
                Affiliations
                [1 ]Exotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, USDA-ARS, 934 College Station Road, Athens, GA 30605, USA; henry.kariithi@ 123456usda.gov (H.M.K.); hlage@ 123456usp.br (H.L.F.); ricky.zoller@ 123456usda.gov (R.Z.); dawn.williamscoplin@ 123456usda.gov (D.W.-C.); darren.parris@ 123456usda.gov (D.J.P.); tim.olivier@ 123456usda.gov (T.L.O.); Danagold75@ 123456gmail.com (D.G.)
                [2 ]Biotechnology Research Institute, Kenya Agricultural and Livestock Research Organization, Kaptagat Road, Loresho, Nairobi P.O. Box 57811-00200, Kenya; leonard.ateya@ 123456kalro.org (L.O.A.); yatinder.binepal@ 123456kalro.org (Y.S.B.)
                [3 ]Department of Veterinary Medicine, FZEA-USP, University of Sao Paulo, Pirassununga 13635900, Brazil
                [4 ]Florida Department of Environmental Protection, Division of Recreation and Parks 33104 NW 192nd Ave, Okeechobee, FL 34972, USA; catharine.welch@ 123456dep.state.fl.us
                [5 ]Directorate of Veterinary Services, State Department for Livestock, Ministry of Agriculture, Livestock, Fisheries and Cooperatives, Nairobi P.O. Box 34188-00100, Kenya; aajiambo@ 123456gmail.com
                [6 ]BASE2BIO, Oshkosh, WI 54904, USA; jeremy.volkening@ 123456base2bio.com
                [7 ]Warnell School of Forestry and Natural Resources and The Southeastern Cooperative Wildlife Disease Study at the College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA; shernz@ 123456uga.edu
                Author notes
                [* ]Correspondence: claudio.afonso@ 123456base2bio.com (C.L.A.); david.suarez@ 123456usda.gov (D.L.S.); Tel.: +1-770-500-8071 (C.L.A.); +1-706-546-3433 (D.L.S.)
                Author information
                https://orcid.org/0000-0002-9250-9108
                https://orcid.org/0000-0002-8892-7155
                https://orcid.org/0000-0001-5699-4743
                https://orcid.org/0000-0003-4582-6116
                Article
                viruses-13-00103
                10.3390/v13010103
                7828601
                33451125
                1e46c08b-5277-4df9-88eb-1857d762f7ed
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 December 2020
                : 10 January 2021
                Categories
                Article

                Microbiology & Virology
                oropharyngeal,cloacal,newcastle disease,spatial-temporal dispersal,phylogeography

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