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      The complete mitochondrial genome analysis of Haemaphysalis hystricis Supino, 1897 (Ixodida: Ixodidae) and its phylogenetic implications

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          Abstract

          In order to study the sequence characteristics, gene order, and codon usage of the mitochondrial genome of Haemaphysalis hystricis, and to explore its phylogenetic relationship, a total of 36 H. hystricis isolated from dogs were used as sample in this study. The mitochondrial genome of a H. hystricis was amplified with several pairs of specific primers by PCR, and was sequenced by first generation sequencing. The mitochondrial genome of H. hystricis was 14,719 bp in size, and it contained 37 genes including 13 protein coding genes (PCGs), 22 transfer RNA genes (tRNAs), 2 ribosomal RNA genes (rRNAs), and AT-rich region. Each PCG sequence had different lengths, the sequence longest and shortest gene were nad5 (1,652 bp) and atp8 (155 bp), respectively, among the 13 PCGs. All PCGs used ATN as their initiation codon, 10 of 13 PCGs used TAN as their termination codon, and 3 of which had incomplete termination codon (TA/T). Most of the 22 tRNAs with different sizes could form the classical cloverleaf structures expect for tRNA- Ala, tRNA- Ser1, tRNA- Ser2, and tRNA- Glu, and there were base mismatch (U-U and U-G) in all the 22 tRNAs sequences. Two rRNAs, namely rrnL and rrnS, had different lengths, rrnL located between tRNA- Leu1 and tRNA- Val, and rrnS located between tRNA- Val and tRNA- Ile, respectively. Two AT (D-loop) control areas with different lengths were in the mitochondrial genome, the NCRL was located between tRNA- Leu2 and tRNA- Cys, and the NCRS was located between rrnS and tRNA- Ile. The complete mitochondrial genome sequence of H. hystricis was AT preferences, and the gene order is the same as that of other Haemaphysalis family ticks. However, phylogenetic analysis showed that H. hystricis was most closely related to Haemaphysalis longicornis among the selected ticks. The mitochondrial genome not only enriches the genome database, provides more novel genetic markers for identifying tick species, and studying its molecular epidemiology, population genetics, systematics, but also have implications for the diagnosis, prevention, and control of ticks and tick-borne diseases in animals and humans.

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments.

            Alignment quality may have as much impact on phylogenetic reconstruction as the phylogenetic methods used. Not only the alignment algorithm, but also the method used to deal with the most problematic alignment regions, may have a critical effect on the final tree. Although some authors remove such problematic regions, either manually or using automatic methods, in order to improve phylogenetic performance, others prefer to keep such regions to avoid losing any information. Our aim in the present work was to examine whether phylogenetic reconstruction improves after alignment cleaning or not. Using simulated protein alignments with gaps, we tested the relative performance in diverse phylogenetic analyses of the whole alignments versus the alignments with problematic regions removed with our previously developed Gblocks program. We also tested the performance of more or less stringent conditions in the selection of blocks. Alignments constructed with different alignment methods (ClustalW, Mafft, and Probcons) were used to estimate phylogenetic trees by maximum likelihood, neighbor joining, and parsimony. We show that, in most alignment conditions, and for alignments that are not too short, removal of blocks leads to better trees. That is, despite losing some information, there is an increase in the actual phylogenetic signal. Overall, the best trees are obtained by maximum-likelihood reconstruction of alignments cleaned by Gblocks. In general, a relaxed selection of blocks is better for short alignment, whereas a stringent selection is more adequate for longer ones. Finally, we show that cleaned alignments produce better topologies although, paradoxically, with lower bootstrap. This indicates that divergent and problematic alignment regions may lead, when present, to apparently better supported although, in fact, more biased topologies.
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              A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

              The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximum- likelihood principle, which clearly satisfies these requirements. The core of this method is a simple hill-climbing algorithm that adjusts tree topology and branch lengths simultaneously. This algorithm starts from an initial tree built by a fast distance-based method and modifies this tree to improve its likelihood at each iteration. Due to this simultaneous adjustment of the topology and branch lengths, only a few iterations are sufficient to reach an optimum. We used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches. The reduction of computing time is dramatic in comparison with other maximum-likelihood packages, while the likelihood maximization ability tends to be higher. For example, only 12 min were required on a standard personal computer to analyze a data set consisting of 500 rbcL sequences with 1,428 base pairs from plant plastids, thus reaching a speed of the same order as some popular distance-based and parsimony algorithms. This new method is implemented in the PHYML program, which is freely available on our web page: http://www.lirmm.fr/w3ifa/MAAS/.
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                Author and article information

                Contributors
                Journal
                Open Life Sci
                Open Life Sci
                biol
                Open Life Sciences
                De Gruyter
                2391-5412
                18 March 2025
                2025
                : 20
                : 1
                : 20220875
                Affiliations
                College of Animal Science and Technology, HuaiHua Vocational and Technical College , Huaihua, Hunan, 418000, PR China
                College of Life Science, Longyan University , Longyan, Fujian, 364012, PR China
                Engineering Research Center for the Prevention and Control of Animal Original Zoonosis, Fujian Province University, College of Life Science, Longyan University , Longyan, Fujian, 364012, PR China
                Article
                biol-2022-0875
                10.1515/biol-2022-0875
                11920765
                40109772
                4ca02bee-f705-4078-b872-bc2fcdbb4de2
                © 2025 the author(s), published by De Gruyter

                This work is licensed under the Creative Commons Attribution 4.0 International License.

                History
                : 27 November 2023
                : 27 March 2024
                : 23 April 2024
                Page count
                Pages: 11
                Categories
                Research Article

                haemaphysalis hystricis,mitochondrial genome,sequence characteristics,codons usage,phylogenetic analysis

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