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      Comprehensive whole genome analysis of Staphylococcus aureus isolates from dairy cows with subclinical mastitis

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          Abstract

          Staphylococcus species are the primary cause of mastitis in dairy cows across the world. Staphylococcus aureus has recently become a pathogen that is zoonotic and multidrug resistant. This study aimed to sequence whole genomes of 38 S. aureus isolates from 55 subclinical mastitis dairy cows of 7 small-scale farmers in the Free State Province, South Africa and document and their antimicrobial and virulence genes. The 38 isolates were grouped by the in silico multi-locus sequencing types (MLST) into seven sequence types (STs), that is (ST 97, 352, 152, 243) and three new STs (ST8495, ST8500, and ST8501). Thirty-three S. aureus isolates were divided into 7 core single-nucleotide polymorphism (SNP) clusters. Among the 9 distinct spa-types that were detected, Spa-types t2883 accounted for the majority of isolates at 12 (31.57%), followed by t416 with 11 (28.94%) and t2844 with 5 (13.15%). The data also revealed the identification of four (4) plasmids, with Rep_N (rep20) accounting for the majority of isolates with 17 (44.73%), followed by Inc18 (repUS5) with 2 (5.26%). These isolates included 11 distinct antimicrobial resistance genes and 23 genes linked to bacterial virulence. Surprisingly, no methicillin resistance associated genes were detected in these isolates. Genome data of the current study will contribute to understanding epidemiology S. aureus genotypes and ultimately aid in developing treatment and control plans to stop the spread of mastitis in the Free State province and South Africa as a whole.

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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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            QUAST: quality assessment tool for genome assemblies.

            Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers have been developed, but none is yet a recognized benchmark. Further, most existing methods for comparing assemblies are only applicable to new assemblies of finished genomes; the problem of evaluating assemblies of previously unsequenced species has not been adequately considered. Here, we present QUAST-a quality assessment tool for evaluating and comparing genome assemblies. This tool improves on leading assembly comparison software with new ideas and quality metrics. QUAST can evaluate assemblies both with a reference genome, as well as without a reference. QUAST produces many reports, summary tables and plots to help scientists in their research and in their publications. In this study, we used QUAST to compare several genome assemblers on three datasets. QUAST tables and plots for all of them are available in the Supplementary Material, and interactive versions of these reports are on the QUAST website. http://bioinf.spbau.ru/quast . Supplementary data are available at Bioinformatics online.
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              UFBoot2: Improving the Ultrafast Bootstrap Approximation

              Abstract The standard bootstrap (SBS), despite being computationally intensive, is widely used in maximum likelihood phylogenetic analyses. We recently proposed the ultrafast bootstrap approximation (UFBoot) to reduce computing time while achieving more unbiased branch supports than SBS under mild model violations. UFBoot has been steadily adopted as an efficient alternative to SBS and other bootstrap approaches. Here, we present UFBoot2, which substantially accelerates UFBoot and reduces the risk of overestimating branch supports due to polytomies or severe model violations. Additionally, UFBoot2 provides suitable bootstrap resampling strategies for phylogenomic data. UFBoot2 is 778 times (median) faster than SBS and 8.4 times (median) faster than RAxML rapid bootstrap on tested data sets. UFBoot2 is implemented in the IQ-TREE software package version 1.6 and freely available at http://www.iqtree.org.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1224898/overviewRole: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2185551/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/1282312/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/386644/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2589026/overviewRole: Role:
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                08 April 2024
                2024
                : 15
                : 1376620
                Affiliations
                [1] 1Department of Life Sciences, Centre for Applied Food Safety and Biotechnology, Central University of Technology , Bloemfontein, South Africa
                [2] 2Clinvet International, Study Operations , Bloemfontein, South Africa
                [3] 3Vectors and Vector-Borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria , Pretoria, South Africa
                [4] 4Sequencing Core Facility, National Institute for Communicable Diseases, National Health Laboratory Service , Johannesburg, South Africa
                [5] 5Unit for Environmental Sciences and Management, North-West University , Potchefstroom, South Africa
                Author notes

                Edited by: Chang-Wei Lei, Sichuan University, China

                Reviewed by: František Zigo, University of Veterinary Medicine and Pharmacy in Košice, Slovakia

                Nora Mestorino, National University of La Plata, Argentina

                *Correspondence: Ntelekwane George Khasapane, nkhasapane@ 123456cut.ac.za
                Article
                10.3389/fmicb.2024.1376620
                11033518
                38650877
                c2772bf2-381e-40e6-91a8-a09cd3e32699
                Copyright © 2024 Khasapane, Nkhebenyane, Mnisi, Kwenda and Thekisoe.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 January 2024
                : 19 March 2024
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 61, Pages: 9, Words: 6988
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by the Central University of Technology (UCDP M&D Grant) and the National Research Foundation (grant no: 134137).
                Categories
                Microbiology
                Original Research
                Custom metadata
                Antimicrobials, Resistance and Chemotherapy

                Microbiology & Virology
                subclinical mastitis,staphylococcus aureus,virulence factors,antimicrobial resistance,whole genome sequencing

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