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      A cyst-forming coccidian with large geographical range infecting forest and commensal rodents: Sarcocystis muricoelognathis sp. nov.

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          Abstract

          Background

          The geographic distribution and host-parasite interaction networks of Sarcocystis spp. in small mammals in eastern Asia remain incompletely known.

          Methods

          Experimental infections, morphological and molecular characterizations were used for discrimination of a new Sarcocystis species isolated from colubrid snakes and small mammals collected in Thailand, Borneo and China.

          Results

          We identified a new species, Sarcocystis muricoelognathis sp. nov., that features a relatively wide geographic distribution and infects both commensal and forest-inhabiting intermediate hosts. Sarcocystis sporocysts collected from rat snakes ( Coelognathus radiatus, C. flavolineatus) in Thailand induced development of sarcocysts in experimental SD rats showing a type 10a cyst wall ultrastructure that was identical with those found in Rattus norvegicus from China and the forest rat Maxomys whiteheadi in Borneo. Its cystozoites had equal sizes in all intermediate hosts and locations, while sporocysts and cystozoites were distinct from other Sarcocystis species. Partial 28S rRNA sequences of S. muricoelognathis from M. whiteheadi were largely identical to those from R. norvegicus in China but distinct from newly sequenced Sarcocystis zuoi. The phylogeny of the nuclear 18S rRNA gene placed S. muricoelognathis within the so-called S. zuoi complex, including Sarcocystis attenuati, S. kani, S. scandentiborneensis and S. zuoi, while the latter clustered with the new species. However, the phylogeny of the ITS1-region confirmed the distinction between S. muricoelognathis and S. zuoi. Moreover, all three gene trees suggested that an isolate previously addressed as S. zuoi from Thailand (KU341120) is conspecific with S. muricoelognathis. Partial mitochondrial cox1 sequences of S. muricoelognathis were almost identical with those from other members of the group suggesting a shared, recent ancestry. Additionally, we isolated two partial 28S rRNA Sarcocystis sequences from Low’s squirrel Sundasciurus lowii that clustered with those of S. scandentiborneensis from treeshews.

          Conclusions

          Our results provide strong evidence of broad geographic distributions of rodent-associated Sarcocystis and host shifts between commensal and forest small mammal species, even if the known host associations remain likely only snapshots of the true associations.

          Graphical Abstract

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13071-024-06230-8.

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          Most cited references68

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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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            MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

            We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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              Tree of Life Reveals Clock-Like Speciation and Diversification

              Genomic data are rapidly resolving the tree of living species calibrated to time, the timetree of life, which will provide a framework for research in diverse fields of science. Previous analyses of taxonomically restricted timetrees have found a decline in the rate of diversification in many groups of organisms, often attributed to ecological interactions among species. Here, we have synthesized a global timetree of life from 2,274 studies representing 50,632 species and examined the pattern and rate of diversification as well as the timing of speciation. We found that species diversity has been mostly expanding overall and in many smaller groups of species, and that the rate of diversification in eukaryotes has been mostly constant. We also identified, and avoided, potential biases that may have influenced previous analyses of diversification including low levels of taxon sampling, small clade size, and the inclusion of stem branches in clade analyses. We found consistency in time-to-speciation among plants and animals, ∼2 My, as measured by intervals of crown and stem species times. Together, this clock-like change at different levels suggests that speciation and diversification are processes dominated by random events and that adaptive change is largely a separate process.
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                Author and article information

                Contributors
                jjhu@ynu.edu.cn
                thom.jaekel@t-online.de
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                15 March 2024
                15 March 2024
                2024
                : 17
                : 135
                Affiliations
                [1 ]School of Ecology and Environmental Sciences and Yunnan International Joint Laboratory of Virology & Immunity, Yunnan University, ( https://ror.org/0040axw97) Kunming, China
                [2 ]Department of Pathology, AnaPath Services GmbH, Liestal, Switzerland
                [3 ]Department Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, ( https://ror.org/05nywn832) Berlin, Germany
                [4 ]Sabah Parks, ( https://ror.org/03m691g30) Kota Kinabalu, Sabah Malaysia
                [5 ]Islamic University of North Sumatra, ( https://ror.org/03z1wm043) Medan, Indonesia
                [6 ]Department of Agriculture, Plant Protection Research and Development Office, Bangkok, Thailand
                [7 ]Department of Biosciences, Swansea University, ( https://ror.org/053fq8t95) Swansea, UK
                [8 ]Institute of Biology, Department of Parasitology, University of Hohenheim, ( https://ror.org/00b1c9541) Stuttgart, Germany
                Article
                6230
                10.1186/s13071-024-06230-8
                10943850
                38491403
                dbd562e8-9775-4dc9-8605-de1f680bf214
                © 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/. 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
                : 25 January 2024
                : 3 March 2024
                Funding
                Funded by: Graduate Innovation Project of Yunnan University
                Award ID: ZC-23234473
                Award Recipient :
                Funded by: the Natural Sciences Foundation of China
                Award ID: 32260119
                Award Recipient :
                Funded by: the Science and Technology Planning Project in Key Areas of Yunnan Province, China
                Award ID: 202303AP140004
                Award Recipient :
                Funded by: the German Federal Ministry of Economic Cooperation and Development (BMZ)
                Award ID: 2002.2156.4
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Parasitology
                rattus norvegicus,maxomys whiteheadi,coelognathus radiatus,coelognathus flavolineatus,sarcocystis muricoelognathis,life cycle,morphological and molecular characterization,sarcocystis zuoi-complex

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