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      Chromosome-level genome assembly of Babesia caballi reveals diversity of multigene families among Babesia species

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          Abstract

          Background

          Babesia caballi is an intraerythrocytic parasite from the phylum Apicomplexa, capable of infecting equids and causing equine piroplasmosis. However, since there is limited genome information available on B. caballi, molecular mechanisms involved in host specificity and pathogenicity of this species have not been fully elucidated yet.

          Results

          Genomic DNA from a B. caballi subclone was purified and sequenced using both Illumina and Nanopore technologies. The resulting assembled sequence consisted of nine contigs with a size of 12.9 Mbp, rendering a total of 5,910 protein-coding genes. The phylogenetic tree of Apicomplexan species was reconstructed using 263 orthologous genes. We identified 481 ves1-like genes and named “ ves1c”. In contrast, expansion of the major facilitator superfamily ( mfs) observed in closely related B. bigemina and B. ovata species was not found in B. caballi. A set of repetitive units containing an open reading frame with a size of 297 bp was also identified.

          Conclusions

          We present a chromosome-level genome assembly of B. caballi. Our genomic data may contribute to estimating gene expansion events involving multigene families and exploring the evolution of species from this genus.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12864-023-09540-w.

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          Most cited references52

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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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              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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                Author and article information

                Contributors
                aki_ochi@equinst.go.jp
                karuma0526saka@yahoo.co.jp
                hhakimi@cvm.tamu.edu
                masada@obihiro.ac.jp
                junya@czc.hokudai.ac.jp
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                24 August 2023
                24 August 2023
                2023
                : 24
                : 483
                Affiliations
                [1 ]GRID grid.482817.0, ISNI 0000 0001 0710 998X, Equine Research Institute, Japan Racing Association, ; Shimotsuke, Tochigi Japan
                [2 ]GRID grid.39158.36, ISNI 0000 0001 2173 7691, International Institute for Zoonosis Control, Hokkaido University, ; Sapporo, Hokkaido Japan
                [3 ]GRID grid.412310.5, ISNI 0000 0001 0688 9267, National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, ; Obihiro, Hokkaido Japan
                [4 ]GRID grid.264756.4, ISNI 0000 0004 4687 2082, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, , Texas A&M University, ; College Station, Texas USA
                [5 ]GRID grid.39158.36, ISNI 0000 0001 2173 7691, Global Station for Zoonosis Control, GI-CoRE, Hokkaido University, ; Sapporo, Hokkaido Japan
                Article
                9540
                10.1186/s12864-023-09540-w
                10463595
                37620766
                3213b41b-8c33-4542-bef1-9913026d207b
                © BioMed Central Ltd., part of Springer Nature 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 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 14 January 2023
                : 27 July 2023
                Funding
                Funded by: the Japan Racing Association
                Award ID: 2-3272
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Genetics
                equine babesiosis,babesia caballi,comparative genomics,multigene expansion
                Genetics
                equine babesiosis, babesia caballi, comparative genomics, multigene expansion

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