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      Evolution of Wolbachia mutualism and reproductive parasitism: insight from two novel strains that co-infect cat fleas

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          Abstract

          Wolbachiae are obligate intracellular bacteria that infect arthropods and certain nematodes. Usually maternally inherited, they may provision nutrients to (mutualism) or alter sexual biology of (reproductive parasitism) their invertebrate hosts. We report the assembly of closed genomes for two novel wolbachiae, wCfeT and wCfeJ, found co-infecting cat fleas ( Ctenocephalides felis) of the Elward Laboratory colony (Soquel, CA, USA). wCfeT is basal to nearly all described Wolbachia supergroups, while wCfeJ is related to supergroups C, D and F. Both genomes contain laterally transferred genes that inform on the evolution of Wolbachia host associations. wCfeT carries the Biotin synthesis Operon of Obligate intracellular Microbes (BOOM); our analyses reveal five independent acquisitions of BOOM across the Wolbachia tree, indicating parallel evolution towards mutualism. Alternately, wCfeJ harbors a toxin-antidote operon analogous to the wPip cinAB operon recently characterized as an inducer of cytoplasmic incompatibility (CI) in flies. wCfeJ cinB and three adjacent genes are collectively similar to large modular toxins encoded in CI-like operons of certain Wolbachia strains and Rickettsia species, signifying that CI toxins streamline by fission of large modular toxins. Remarkably, the C. felis genome itself contains two CI-like antidote genes, divergent from wCfeJ cinA, revealing episodic reproductive parasitism in cat fleas and evidencing mobility of CI loci independent of WO-phage. Additional screening revealed predominant co-infection ( wCfeT/ wCfeJ) amongst C. felis colonies, though fleas in wild populations mostly harbor wCfeT alone. Collectively, genomes of wCfeT, wCfeJ, and their cat flea host supply instances of lateral gene transfers that could drive transitions between parasitism and mutualism.

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          Most cited references185

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          RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

          Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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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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              trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses

              Summary: Multiple sequence alignments are central to many areas of bioinformatics. It has been shown that the removal of poorly aligned regions from an alignment increases the quality of subsequent analyses. Such an alignment trimming phase is complicated in large-scale phylogenetic analyses that deal with thousands of alignments. Here, we present trimAl, a tool for automated alignment trimming, which is especially suited for large-scale phylogenetic analyses. trimAl can consider several parameters, alone or in multiple combinations, for selecting the most reliable positions in the alignment. These include the proportion of sequences with a gap, the level of amino acid similarity and, if several alignments for the same set of sequences are provided, the level of consistency across different alignments. Moreover, trimAl can automatically select the parameters to be used in each specific alignment so that the signal-to-noise ratio is optimized. Availability: trimAl has been written in C++, it is portable to all platforms. trimAl is freely available for download (http://trimal.cgenomics.org) and can be used online through the Phylemon web server (http://phylemon2.bioinfo.cipf.es/). Supplementary Material is available at http://trimal.cgenomics.org/publications. Contact: tgabaldon@crg.es
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                17 December 2020
                2020
                : 8
                : e10646
                Affiliations
                [1 ]Biology, West Virginia University , Morgantown, WV, USA
                [2 ]Microbiology and Immunology, University of Maryland at Baltimore , Baltimore, MD, USA
                [3 ]Entomology and Plant Pathology, Auburn University , Auburn, AL, USA
                [4 ]Orange County Mosquito and Vector Control District , Garden Grove, CA, USA
                [5 ]Microbiology and Immunology, University of South Alabama , Mobile, AL, USA
                Author information
                http://orcid.org/0000-0002-5119-0372
                http://orcid.org/0000-0001-8537-6100
                http://orcid.org/0000-0002-5447-7264
                Article
                10646
                10.7717/peerj.10646
                7750005
                33362982
                7ddae6d4-0850-41c0-b99d-f50f74f8bd46
                © 2020 Driscoll et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 14 August 2020
                : 3 December 2020
                Funding
                Funded by: National Institutes of Health National Institute of Allergy and Infectious Diseases
                Award ID: R21AI26108, R21AI146773, R01AI017828, R01AI126853 and R01AI122672
                Funded by: West Virginia University
                Funded by: Auburn University, USDA Hatch
                Award ID: 1015922
                Funded by: Alabama Agricultural Experiment Station SEED
                This work was supported with funds from the National Institutes of Health National Institute of Allergy and Infectious Diseases grants (R21AI26108 and R21AI146773 to Joseph J. Gillespie, R01AI017828 and R01AI126853 to AFA, and R01AI122672 to Kevin R. Macaluso). Timothy P. Driscoll and Victoria I. Verhoeve were supported by start-up funding provided to Timothy P. Driscoll by West Virginia University. John F. Beckmann was supported by start-up funds from Auburn University, USDA Hatch Grant (1015922) and an Alabama Agricultural Experiment Station SEED grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Entomology
                Evolutionary Studies
                Genomics
                Microbiology
                Zoology

                wolbachia,ctenocephalides felis,cat flea,reproductive parasitism,mutualism,lateral gene transfer,cytoplasmic incompatibility,biotin operon

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