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      Succinate dehydrogenase gene as a marker for studying Blastocystis genetic diversity

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          Abstract

          Blastocystis has been reported as the most common eukaryotic microorganism residing in the intestines of both humans and animals, with a prevalence of up to 100% in some populations. Since this is a cryptic species, sequence polymorphism are the single strategy to analyses its genetic diversity, being traditionally used the analysis of ssu rRNA gene sequence to determine alleles and subtypes (STs) for this species. This multicopy gene has shown high diversity among different STs, making necessary to explore other genes to assess intraspecific diversity. This study evaluated the use of a novel genetic marker, succinate dehydrogenase ( SDHA), for the typing and evaluation of the genetic diversity and genetic population structure of Blastocystis. In total, 375 human fecal samples were collected and subjected to PCR, subtyped using the ssu rRNA marker, and then the SDHA gene was amplified via PCR for 117 samples. We found some incongruences between tree topologies for both molecular markers. However, the clustering by ST previously established for Blastocystis was congruent in the concatenated sequence. SDHA showed lower reticulation (The origination of a lineage through the partial merging of two ancestor lineages) signals and better intra ST clustering ability. Clusters with geographical associations were observed intra ST. The genetic diversity was lower in the marker evaluated compared to that of the ssu rRNA gene (nucleotide diversity = 0.03344 and 0.16986, respectively) and the sequences analyzed showed population expansion with genetic differentiation principally among STs. The ssu rRNA gene was useful to explore interspecific diversity but together with the SDHA gene the resolution power to evaluate intra ST diversity was higher. These results showed the potential of the SDHA marker for studying the intra ST genetic diversity of Blastocystis related with geographical location and the inter ST diversity using the concatenated sequences.

          Abstract

          Microbiology; Molecular biology; Zoology; Epidemiology; Evolutionary biology; Blastocystis; ssu rRNA; Succinate dehydrogenase subunit A; Genetic diversity; Genetic population structure.

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          Most cited references72

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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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            MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

            We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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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
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                02 November 2020
                November 2020
                02 November 2020
                : 6
                : 11
                : e05387
                Affiliations
                [a ]Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
                [b ]Departamento de Salud Pública, Universidad Nacional de Colombia, Bogotá, Colombia
                [c ]Grupo de Investigaciones Biológicas de la Orinoquia, Fundación Universitaria Internacional del Trópico Americano - Unitrópico, Yopal, Colombia
                [d ]Hospital Local Santa María de Mompox, Programas Especiales (Lepra y TB), Mompox, Bolívar, Colombia
                Author notes
                []Corresponding author. juand.ramirez@ 123456urosario.edu.co
                Article
                S2405-8440(20)32230-1 e05387
                10.1016/j.heliyon.2020.e05387
                7609450
                33163680
                ec53c2c0-a21c-4692-9d50-0aceb1ef78bc
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 3 August 2020
                : 1 October 2020
                : 27 October 2020
                Categories
                Research Article

                microbiology,molecular biology,zoology,epidemiology,evolutionary biology,blastocystis,ssu rrna,succinate dehydrogenase subunit a,genetic diversity,genetic population structure

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