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      Substantial viral and bacterial diversity at the bat–tick interface

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          Abstract

          Ticks harbour a high diversity of viruses, bacteria and protozoa. The soft tick Carios vespertilionis (Argasidae) is a common ectoparasite of bats in the Palearctic region and is suspected to be vector and reservoir of viruses and other microbial species in bat populations, some of which may act as zoonotic agents for human disease. The Soprano pipistrelle ( Pipistrellus pygmaeus, Vespertilionidae) is widely distributed in Europe, where it can be found inside or close to human habitation. We used meta-transcriptomic sequencing to determine the RNA virome and common microbiota in blood-fed C. vespertilionis ticks collected from a Soprano pipistrelle bat roosting site in south-central Sweden. Our analyses identified 16 viruses from 11 virus families, of which 15 viruses were novel. For the first time in Sweden we identified Issuk-Kul virus, a zoonotic arthropod-borne virus previously associated with outbreaks of acute febrile illness in humans. Probable bat-associated and tick-borne viruses were classified within the families Nairoviridae, Caliciviridae and Hepeviridae, while other invertebrate-associated viruses included members of the Dicistroviridae, Iflaviridae, Nodaviridae, Partitiviridae, Permutotetraviridae, Polycipiviridae and Solemoviridae. Similarly, we found abundant bacteria in C. vespertilionis, including genera with known tick-borne bacteria, such as Coxiella spp. and Rickettsia spp. These findings demonstrate the remarkable diversity of RNA viruses and bacteria present in C. vespertilionis and highlight the importance of bat-associated ectoparasite surveillance as an effective and non-invasive means to track viruses and bacteria circulating in bats and ticks.

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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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            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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              Fast and sensitive protein alignment using DIAMOND.

              The alignment of sequencing reads against a protein reference database is a major computational bottleneck in metagenomics and data-intensive evolutionary projects. Although recent tools offer improved performance over the gold standard BLASTX, they exhibit only a modest speedup or low sensitivity. We introduce DIAMOND, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2023
                2 March 2023
                2 March 2023
                : 9
                : 3
                : mgen000942
                Affiliations
                [ 1] departmentSydney Institute for Infectious Diseases , School of Medical Sciences, the University of Sydney, Sydney , New South Wales 2006, Australia
                [ 2] departmentDepartment of Organismal Biology , Evolutionary Biology Centre, Uppsala University, SE-752 36 , Uppsala, Sweden
                [ 3] departmentZoonosis Science Center, Department of Medical Biochemistry and Microbiology , University of Uppsala , SE-751 23 Uppsala, Sweden
                [ 4] departmentClinical Microbiology and Hospital Hygiene , Uppsala University Hospital , 75237 Uppsala, Sweden
                [ 5] departmentDepartment of Biomedical and Clinical Sciences, Division of Inflammation and Infection , Linköping University , SE-581 83 Linköping, Sweden
                [ 6] departmentDepartment of Clinical Microbiology , Region Jönköping County , SE-553 05 Jönköping, Sweden
                Author notes
                *Correspondence: John H.-O. Pettersson, john.pettersson@ 123456imbim.uu.se
                *Correspondence: Peter Wilhelmsson, peter.wilhelmsson@ 123456liu.se
                [†]

                These authors share senior authorship.

                Author information
                https://orcid.org/0000-0001-6665-7492
                Article
                000942
                10.1099/mgen.0.000942
                10132063
                36862584
                952a6adc-330d-410d-8168-610587d01230
                © 2023 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.

                History
                : 10 September 2022
                : 04 December 2022
                Funding
                Funded by: Forskningsrådet i Sydöstra Sverige
                Award ID: FORSS, 931010
                Award Recipient : PeterWilhelmsson
                Funded by: Innovation and Technology Commission
                Award ID: AIR@InnoHK
                Award Recipient : EdwardC Holmes
                Funded by: Australian Research Council
                Award ID: FL170100022
                Award Recipient : EdwardC Holmes
                Funded by: Vetenskapsrådet
                Award ID: 2020-02593
                Award Recipient : JohnPettersson
                Funded by: Svenska Forskningsrådet Formas
                Award ID: 2015-710
                Award Recipient : JohnPettersson
                Categories
                Research Articles
                Microbial Communities
                Custom metadata
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                meta-transcriptomics,carios vespertilionis,pipistrellus pygmaeus,rna virome,virus evolution

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