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      Babesia duncani multi-omics identifies virulence factors and drug targets

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          Abstract

          Babesiosis is a malaria-like disease in humans and animals that is caused by Babesia species, which are tick-transmitted apicomplexan pathogens. Babesia duncani causes severe to lethal infection in humans, but despite the risk that this parasite poses as an emerging pathogen, little is known about its biology, metabolic requirements or pathogenesis. Unlike other apicomplexan parasites that infect red blood cells, B. duncani can be continuously cultured in vitro in human erythrocytes and can infect mice resulting in fulminant babesiosis and death. We report comprehensive, detailed molecular, genomic, transcriptomic and epigenetic analyses to gain insights into the biology of B. duncani. We completed the assembly, 3D structure and annotation of its nuclear genome, and analysed its transcriptomic and epigenetics profiles during its asexual life cycle stages in human erythrocytes. We used RNA-seq data to produce an atlas of parasite metabolism during its intraerythrocytic life cycle. Characterization of the B. duncani genome, epigenome and transcriptome identified classes of candidate virulence factors, antigens for diagnosis of active infection and several attractive drug targets. Furthermore, metabolic reconstitutions from genome annotation and in vitro efficacy studies identified antifolates, pyrimethamine and WR-99210 as potent inhibitors of B. duncani to establish a pipeline of small molecules that could be developed as effective therapies for the treatment of human babesiosis.

          Abstract

          Comprehensive multi-omics of Babesia duncani reveals evolution, drug sensitivity and virulence.

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          Most cited references59

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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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            Minimap2: pairwise alignment for nucleotide sequences

            Heng Li (2018)
            Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length. Existing alignment programs are unable or inefficient to process such data at scale, which presses for the development of new alignment algorithms.
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              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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                Author and article information

                Contributors
                stelo@cs.ucr.edu
                karinel@ucr.edu
                choukri.benmamoun@yale.edu
                Journal
                Nat Microbiol
                Nat Microbiol
                Nature Microbiology
                Nature Publishing Group UK (London )
                2058-5276
                13 April 2023
                13 April 2023
                2023
                : 8
                : 5
                : 845-859
                Affiliations
                [1 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Internal Medicine, Section of Infectious Diseases, , Yale School of Medicine, ; New Haven, CT USA
                [2 ]GRID grid.266097.c, ISNI 0000 0001 2222 1582, Department of Computer Science and Engineering, , University of California, ; Riverside, CA USA
                [3 ]GRID grid.266097.c, ISNI 0000 0001 2222 1582, Department of Statistics, , University of California, ; Riverside, CA USA
                [4 ]GRID grid.266097.c, ISNI 0000 0001 2222 1582, Department of Molecular, Cell and Systems Biology, , University of California, ; Riverside, CA USA
                [5 ]GRID grid.488845.d, ISNI 0000 0004 0624 6108, Institut de Biologie Computationnelle (IBC), and Institut de Recherche en Cancérologie de Montpellier (IRCM - INSERM U1194), Institut régional du Cancer Montpellier (ICM) and Université de Montpellier, ; Montpellier, France
                [6 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Parasitology Reference and Research Laboratory, National Centre for Microbiology, , Instituto de Salud Carlos III, Majadahonda, ; Madrid, Spain
                [7 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Reference and Research Laboratory on Food and Waterborne Bacterial Infections, National Centre for Microbiology, , Instituto de Salud Carlos III, Majadahonda, ; Madrid, Spain
                [8 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, , Universidad Nacional Autónoma de México, ; Cuernavaca, México
                [9 ]GRID grid.25879.31, ISNI 0000 0004 1936 8972, Department of Biology, , University of Pennsylvania, ; Philadelphia, PA USA
                Author information
                http://orcid.org/0000-0003-2318-5960
                http://orcid.org/0000-0002-2696-7274
                http://orcid.org/0000-0002-5891-6789
                http://orcid.org/0000-0002-1844-2101
                http://orcid.org/0000-0001-7292-0808
                http://orcid.org/0000-0001-6026-1737
                http://orcid.org/0000-0002-5082-9875
                http://orcid.org/0000-0001-6209-7061
                http://orcid.org/0009-0002-6002-5229
                http://orcid.org/0000-0002-1202-1162
                http://orcid.org/0000-0003-4097-1621
                http://orcid.org/0000-0002-9107-2450
                http://orcid.org/0000-0001-9903-6203
                http://orcid.org/0000-0003-0476-3139
                http://orcid.org/0000-0002-3852-960X
                http://orcid.org/0000-0003-4446-6200
                http://orcid.org/0000-0002-4862-9292
                http://orcid.org/0000-0001-5028-1400
                Article
                1360
                10.1038/s41564-023-01360-8
                10159843
                37055610
                772add6c-2ba2-48b1-be0a-56dc8494e0ca
                © The Author(s) 2023

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 May 2022
                : 14 March 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000060, U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: 169543
                Award ID: AI136511
                Award ID: AI142743
                Award ID: AI142506
                Award ID: AI097218
                Award ID: GM110506
                Award ID: AI123321
                Award ID: AI136118
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100009035, UC | UC Riverside | Academic Senate, University of California, Riverside (Academic Senate, UCR);
                Award ID: NIFA-Hatch-225935
                Award Recipient :
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                © Springer Nature Limited 2023

                microbiology,applied microbiology
                microbiology, applied microbiology

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