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      Selective deforestation and exposure of African wildlife to bat-borne viruses

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          Abstract

          Proposed mechanisms of zoonotic virus spillover often posit that wildlife transmission and amplification precede human outbreaks. Between 2006 and 2012, the palm Raphia farinifera, a rich source of dietary minerals for wildlife, was nearly extirpated from Budongo Forest, Uganda. Since then, chimpanzees, black-and-white colobus, and red duiker were observed feeding on bat guano, a behavior not previously observed. Here we show that guano consumption may be a response to dietary mineral scarcity and may expose wildlife to bat-borne viruses. Videos from 2017–2019 recorded 839 instances of guano consumption by the aforementioned species. Nutritional analysis of the guano revealed high concentrations of sodium, potassium, magnesium and phosphorus. Metagenomic analyses of the guano identified 27 eukaryotic viruses, including a novel betacoronavirus. Our findings illustrate how “upstream” drivers such as socioeconomics and resource extraction can initiate elaborate chains of causation, ultimately increasing virus spillover risk.

          Abstract

          A study in Uganda found that local extirpation of a mineral-rich tree species used in tobacco farming forced wildlife to obtain minerals by eating bat guano, in which 27 eukaryotic viruses were identified, including a novel betacoronavirus.

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          Most cited references58

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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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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              BLAST+: architecture and applications

              Background Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings in the user-interface of the current command-line applications. Results We describe features and improvements of rewritten BLAST software and introduce new command-line applications. Long query sequences are broken into chunks for processing, in some cases leading to dramatically shorter run times. For long database sequences, it is possible to retrieve only the relevant parts of the sequence, reducing CPU time and memory usage for searches of short queries against databases of contigs or chromosomes. The program can now retrieve masking information for database sequences from the BLAST databases. A new modular software library can now access subject sequence data from arbitrary data sources. We introduce several new features, including strategy files that allow a user to save and reuse their favorite set of options. The strategy files can be uploaded to and downloaded from the NCBI BLAST web site. Conclusion The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences. We have also improved the user interface of the command-line applications.
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                Author and article information

                Contributors
                tony.goldberg@wisc.edu
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                22 April 2024
                22 April 2024
                2024
                : 7
                : 470
                Affiliations
                [1 ]Division of Psychology, Faculty of Natural Sciences, University of Stirling, ( https://ror.org/045wgfr59) Stirling, FK9 4LA UK
                [2 ]Budongo Conservation Field Station, PO Box 362, Masindi, Uganda
                [3 ]Biological Defense Research Directorate, Naval Medical Research Command, ( https://ror.org/05f421b09) Fort Detrick, MD 21702 USA
                [4 ]Leidos, 1750 Presidents St, ( https://ror.org/012cvds63) Reston, VA 20190 USA
                [5 ]School of Anthropology, University of Oxford, 51/53 Banbury Road, ( https://ror.org/052gg0110) Oxford, OX2 6PE UK
                [6 ]School of Psychology and Neuroscience, University of St Andrews; St Mary’s Quad, South Street, ( https://ror.org/02wn5qz54) St Andrews, KY16 9JP UK
                [7 ]Department of Zoology, Entomology & Fisheries Sciences, Makerere University, PO Box 7062, ( https://ror.org/03dmz0111) Kampala, Uganda
                [8 ]Institute of Biology, University of Neuchâtel, Rue Emile-Argand 11, CH-2000, ( https://ror.org/00vasag41) Neuchâtel, Switzerland
                [9 ]Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, ( https://ror.org/02a33b393) 04103 Leipzig, Germany
                [10 ]Institut des Sciences Cognitives, 67 Bd Pinel, ( https://ror.org/058hz8544) 69500 Bron, France
                [11 ]Department of Anthropology, Hunter College of the City University of New York, 695 Park Avenue, ( https://ror.org/00453a208) New York, NY 10065 USA
                [12 ]School of Veterinary Medicine, Department of Pathobiological Sciences, University of Wisconsin-Madison, 1656 Linden Drive, ( https://ror.org/01y2jtd41) Madison, WI USA
                Author information
                http://orcid.org/0000-0002-3893-0524
                http://orcid.org/0000-0002-5744-8493
                http://orcid.org/0000-0003-3962-4913
                Article
                6139
                10.1038/s42003-024-06139-z
                11035629
                38649441
                56436ddf-2d6b-42ab-bf87-b39b3d910d2d
                © The Author(s) 2024

                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
                : 23 May 2023
                : 2 April 2024
                Funding
                Funded by: University of Wisconsin-Madison John D. MacArthur Research Chair
                Funded by: Royal Zoological Society of Scotland
                Funded by: FundRef https://doi.org/10.13039/100009896, United States Department of Defense | U.S. Navy (United States Navy);
                Award ID: WUN A1417
                Award Recipient :
                Funded by: Armed Forces Health Surveillance Division (AFHSD), Global Emerging Infections Surveillance (GEIS) Branch, ProMIS ID P0167_22_NM
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                ecological epidemiology,viral infection
                ecological epidemiology, viral infection

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