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      Phylogenomics Reveals that Asaia Symbionts from Insects Underwent Convergent Genome Reduction, Preserving an Insecticide-Degrading Gene

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          Abstract

          We have studied genome reduction within several strains of the insect symbiont Asaia isolated from different species/strains of mosquito and medfly. Phylogenetically distant strains of Asaia, despite following a common pattern involving the loss of genes related to genome stability, have undergone independent genome reductions, highlighting the peculiar role of specific metabolic pathways in the symbiotic relationship between Asaia and its host.

          ABSTRACT

          The mosquito microbiota is composed of several lineages of microorganisms whose ecological roles and evolutionary histories have yet to be investigated in depth. Among these microorganisms, Asaia bacteria play a prominent role, given their abundance in the gut, reproductive organs, and salivary glands of different mosquito species, while their presence has also been reported in several other insects. Notably, Asaia has great potential as a tool for the control of mosquito-borne diseases. Here, we present a wide phylogenomic analysis of Asaia strains isolated from different species of mosquito vectors and from different populations of the Mediterranean fruit fly (medfly), Ceratitis capitata, an insect pest of worldwide economic importance. We show that phylogenetically distant lineages of Asaia experienced independent genome reductions, despite following a common pattern, characterized by the early loss of genes involved in genome stability. This result highlights the role of specific metabolic pathways in the symbiotic relationship between Asaia and the insect host. Finally, we discovered that all but one of the Asaia strains included in the study possess the pyrethroid hydrolase gene. Phylogenetic analysis revealed that this gene is ancestral in Asaia, strongly suggesting that it played a role in the establishment of the symbiotic association between these bacteria and the mosquito hosts. We propose that this gene from the symbiont contributed to initial pyrethroid resistance in insects harboring Asaia, also considering the widespread production of pyrethrins by several plants.

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          Most cited references40

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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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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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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

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mbio
                mBio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                30 March 2021
                Mar-Apr 2021
                : 12
                : 2
                : e00106-21
                Affiliations
                [a ]Pediatric CRC Romeo ed Enrica Invernizzi, Department of Biosciences, Università di Milano, Milan, Italy
                [b ]School of Biosciences & Veterinary Medicine, University of Camerino, Camerino, MC, Italy
                [c ]CIRM Italian Malaria Network, Unit of Camerino, MC, Italy
                [d ]Biotechnology Institute (IBTEC), Sao Paulo State University (UNESP), Sao Paulo, Brazil
                [e ]Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil
                [f ]Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
                [g ]Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy
                [h ]MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
                [i ]Pediatric CRC Romeo ed Enrica Invernizzi, DIBIC, Università di Milano, Milan, Italy
                GSK Vaccines
                Author notes
                Address correspondence to Guido Favia, guido.favia@ 123456unicam.it .

                Francesco Comandatore and Claudia Damiani contributed equally to this work. Author order was determined both alphabetically and in order of increasing seniority.

                Author information
                https://orcid.org/0000-0002-4420-8482
                Article
                mBio00106-21
                10.1128/mBio.00106-21
                8092202
                33785632
                e7af0b5c-6585-4051-afd0-77d067dd79d2
                Copyright © 2021 Comandatore et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 15 January 2021
                : 23 February 2021
                Page count
                supplementary-material: 4, Figures: 7, Tables: 0, Equations: 0, References: 40, Pages: 12, Words: 6144
                Funding
                Funded by: Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR), https://doi.org/10.13039/501100003407;
                Award ID: PRIN2015JXC3JF
                Award Recipient :
                Funded by: Università degli Studi di Camerino (UNICAM), https://doi.org/10.13039/501100010739;
                Award ID: FAR2019
                Award Recipient :
                Funded by: Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR), https://doi.org/10.13039/501100003407;
                Award ID: PRIN2017J8JR57
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                March/April 2021

                Life sciences
                asaia,genome reduction,pyrethroid hydrolase
                Life sciences
                asaia, genome reduction, pyrethroid hydrolase

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