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      Detection of human pathogenic bacteria in rectal DNA samples from Zalophus californianus in the Gulf of California, Mexico

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          Abstract

          Human intrusions into undisturbed wildlife areas greatly contribute to the emergence of infectious diseases. To minimize the impacts of novel emerging infectious diseases (EIDs) on human health, a comprehensive understanding of the microbial species that reside within wildlife species is required. The Gulf of California (GoC) is an example of an undisturbed ecosystem. However, in recent decades, anthropogenic activities within the GoC have increased. Zalophus californianus has been proposed as the main sentinel species in the GoC; hence, an assessment of sea lion bacterial microbiota may reveal hidden risks for human health. We evaluated the presence of potential human pathogenic bacterial species from the gastrointestinal (GI) tracts of wild sea lions through a metabarcoding approach. To comprehensively evaluate this bacterial consortium, we considered the genetic information of six hypervariable regions of 16S rRNA. Potential human pathogenic bacteria were identified down to the species level by integrating the RDP and Pplacer classifier outputs. The combined genetic information from all analyzed regions suggests the presence of at least 44 human pathogenic bacterial species, including Shigella dysenteriae and Bacillus anthracis. Therefore, the risks of EIDs from this area should be not underestimated.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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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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              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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                Author and article information

                Contributors
                alicea@cicese.mx
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                1 September 2022
                1 September 2022
                2022
                : 12
                : 14859
                Affiliations
                [1 ]GRID grid.462226.6, ISNI 0000 0000 9071 1447, Department of Biomedical Innovation, , Ensenada Center for Scientific Research and Higher Education, ; Ensenada, Baja California Mexico
                [2 ]GRID grid.462226.6, ISNI 0000 0000 9071 1447, Department of Marine Ecology, , Ensenada Center for Scientific Research and Higher Education, ; Ensenada, Baja California Mexico
                [3 ]GRID grid.412852.8, ISNI 0000 0001 2192 0509, Oceanology Research Institute. Autonomous University of Baja California, ; Ensenada, Baja California Mexico
                [4 ]Laboratory of Experimental Biology, Center for Research in Food and Development, A.C., Hermosillo, Sonora Mexico
                [5 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Department of Molecular Microbiology, Institute of Biotechnology, , National Autonomous University of Mexico, ; Cuernavaca, Mexico
                Author information
                https://orcid.org/0000-0003-1116-4310
                https://orcid.org/0000-0001-8907-6850
                https://orcid.org/0000-0003-4074-6731
                https://orcid.org/0000-0002-8927-1733
                https://orcid.org/0000-0003-4022-7405
                Article
                18903
                10.1038/s41598-022-18903-4
                9434536
                36050340
                501f00d5-599f-4d99-afb5-bfe01cb48194
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 March 2022
                : 22 August 2022
                Categories
                Article
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                © The Author(s) 2022

                Uncategorized
                ecological epidemiology,microbial ecology,molecular ecology
                Uncategorized
                ecological epidemiology, microbial ecology, molecular ecology

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