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      One to host them all: genomics of the diverse bacterial endosymbionts of the spider Oedothorax gibbosus

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          Abstract

          Bacterial endosymbionts of the groups Wolbachia , Cardinium and Rickettsiaceae are well known for their diverse effects on their arthropod hosts, ranging from mutualistic relationships to reproductive phenotypes. Here, we analysed a unique system in which the dwarf spider Oedothorax gibbosus is co-infected with up to five different endosymbionts affiliated with Wolbachia , ‘ Candidatus Tisiphia’ (formerly Torix group Rickettsia ), Cardinium and Rhabdochlamydia . Using short-read genome sequencing data, we show that the endosymbionts are heterogeneously distributed among O. gibbosus populations and are frequently found co-infecting spider individuals. To study this intricate host–endosymbiont system on a genome-resolved level, we used long-read sequencing to reconstruct closed genomes of the Wolbachia , ‘ Ca. Tisiphia’ and Cardinium endosymbionts. We provide insights into the ecology and evolution of the endosymbionts and shed light on the interactions with their spider host. We detected high quantities of transposable elements in all endosymbiont genomes and provide evidence that ancestors of the Cardinium , ‘ Ca. Tisiphia’ and Wolbachia endosymbionts have co-infected the same hosts in the past. Our findings contribute to broadening our knowledge about endosymbionts infecting one of the largest animal phyla on Earth and show the usefulness of transposable elements as an evolutionary ‘contact-tracing’ tool.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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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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              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

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2023
                9 February 2023
                9 February 2023
                : 9
                : 2
                : mgen000943
                Affiliations
                [ 1] Centre for Microbiology and Environmental Systems Science, University of Vienna. Djerassiplatz 1 , 1030 Vienna, Austria
                [ 2] Doctoral School in Microbiology and Environmental Science, University of Vienna. Universitätsring 1 , 1010 Vienna, Austria
                [ 3] Current address: Laboratory of Microbiology, Wageningen University and Research, Stippeneng 4 , 6700 EH Wageningen, The Netherlands
                [ 4] OD Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences. Rue Vautier/Vautierstraat 29, , 1000 Brussels, Belgium
                Author notes
                *Correspondence: Alejandro Manzano-Marín, alejandro.manzano.marin@ 123456univie.ac.at
                Author information
                https://orcid.org/0000-0002-5678-1366
                https://orcid.org/0000-0001-6710-7572
                https://orcid.org/0000-0002-0592-7791
                https://orcid.org/0000-0002-1176-0318
                https://orcid.org/0000-0002-0707-9052
                https://orcid.org/0000-0002-8309-5855
                Article
                000943
                10.1099/mgen.0.000943
                9997750
                36757767
                0bdd028d-9f7a-40a2-9796-79af07fb219f
                © 2023 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 01 June 2022
                : 04 December 2022
                Funding
                Funded by: Nationaal Fonds voor Wetenschappelijk Onderzoek
                Award ID: 1527617N
                Award Recipient : FrederikHendrickx
                Funded by: Universität Wien
                Award ID: uni:docs
                Award Recipient : TamaraHalter
                Funded by: Austrian Science Fund
                Award ID: DOC 69-B
                Award Recipient : MatthiasHorn
                Funded by: Horizon 2020 Framework Programme
                Award ID: 840270
                Award Recipient : AlejandroManzano-Marín
                Categories
                Research Articles
                Microbial Communities
                Custom metadata
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                spider endosymbionts,comparative genomics,mobile elements,host–symbiont interaction

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