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      Phylogenetic analyses reveal bat communities in Northwestern Mexico harbor a high diversity of novel cryptic ectoparasite species

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          Abstract

          Parasites are integral parts of ecosystem function and important drivers of evolutionary processes. Characterizing ectoparasite diversity is fundamental to studies of host–parasite interactions, evolution, and conservation, and also for understanding emerging disease threats for some vector borne pathogens. With more than 1400 species, bats represent the second most speciose mammalian clade, but their ectoparasite fauna are poorly known for most species. We sequenced mitochondrial Cytochrome Oxidase C subunit I and nuclear 18S ribosomal gene fragments, and used Bayesian phylogenetic analyses to characterize ectoparasite taxon identity and diversity for 17 species of parasitized bats sampled along the Baja California peninsula and in Northwestern Mexico. The sequence data revealed multiple novel lineages of bat bugs (Cimicidae), flies (Nycteribiidae and Streblidae), and ticks (Argasidae). Within families, the new linages showed more than 10% sequence divergence, which is consistent with separation at least at the species level. Both families of bat flies showed host specificity, particularly on Myotis species. We also identified new records for the Baja peninsula of one tick ( Carios kelleyi), and of five Streblid bat fly species. One Nycteribiid bat fly haplotype from Pallid bat ( Antrozous pallidus) hosts was found throughout the peninsula, suggesting potential long distance co‐dispersal with hosts. Different bat bug and tick communities were found in the north and south of the peninsula. This study is the first systematic survey of bat ectoparasites in the Baja California peninsula, revealing novel lineages that are highly genetically differentiated from other parts of North America. For some ectoparasite species, haplotype distributions may reflect patterns of bat migration. This work is a first step in characterizing ectoparasite diversity over the Baja California peninsula, and understanding how ecological and evolutionary interactions shape bat ectoparasite communities among host species in different parts of their ranges.

          Abstract

          Parasites are integral parts of the ecosystem. Using phylogenetic techniques, we found multiple novel lineages of bat bugs, flies, and ticks in Northwestern Mexico. For some ectoparasite species, haplotype distribution may reflect patterns of bat dispersal.

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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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            Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

            Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
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              DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

              DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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                Author and article information

                Contributors
                l.a.najera@leeds.ac.uk
                s.j.goodman@leeds.ac.uk
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                31 January 2023
                February 2023
                : 13
                : 2 ( doiID: 10.1002/ece3.v13.2 )
                : e9645
                Affiliations
                [ 1 ] School of Biology University of Leeds Leeds UK
                [ 2 ] San Diego Natural History Museum San Diego California USA
                [ 3 ]Present address: Vincent Wildlife Trust, Ledbury, Herefordshire UK
                Author notes
                [*] [* ] Correspondence

                Laura A. Najera‐Cortazar and Simon J. Goodman, School of Biology, University of Leeds, Leeds, UK.

                Email: l.a.najera@ 123456leeds.ac.uk and s.j.goodman@ 123456leeds.ac.uk

                Author information
                https://orcid.org/0000-0001-8650-7248
                https://orcid.org/0000-0003-4118-8575
                Article
                ECE39645 ECE-2022-08-01196.R1
                10.1002/ece3.9645
                9889969
                0888a8e4-f3fb-4fee-ad2c-14c8ec36dd27
                © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 November 2022
                : 11 August 2022
                : 16 November 2022
                Page count
                Figures: 8, Tables: 6, Pages: 20, Words: 10541
                Funding
                Funded by: Consejo Nacional de Ciencia y Tecnología , doi 10.13039/501100003141;
                Award ID: 411432
                Funded by: Rufford Foundation , doi 10.13039/100007463;
                Award ID: 25403‐1
                Categories
                Biodiversity Ecology
                Ecological Genetics
                Genetics
                Parasitology
                Phylogenetics
                Taxonomy
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.5 mode:remove_FC converted:01.02.2023

                Evolutionary Biology
                18s,argasidae,chiroptera,cimicidae,coi,dna barcoding,ectoparasites,nycteribiidae,phylogeny,streblidae

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