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      Natural Variation in Physicochemical Profiles and Bacterial Communities Associated with Aedes aegypti Breeding Sites and Larvae on Guadeloupe and French Guiana

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          Abstract

          Aedes aegypti develop in aquatic habitats in which mosquito larvae are exposed to physicochemical elements and microorganisms that may influence their life cycle and their ability to transmit arboviruses. Little is known about the natural bacterial communities associated with A. aegypti or their relation to the biotic and abiotic characteristics of their aquatic habitats. We characterized the physicochemical properties and bacterial microbiota of A. aegypti breeding sites and larvae on Guadeloupe and in French Guiana. In addition, we explored whether geographic location, the type of breeding site and physicochemical parameters influenced the microbiota associated with this mosquito species. We used large-scale 16S rRNA gene sequencing of 160 breeding sites and 147 pools of A. aegypti larvae and recorded 12 physicochemical parameters at the sampled breeding sites. Ordination plots and multiple linear regression were used to assess the influence of environmental factors on the bacterial microbiota of water and larvae. We found territory-specific differences in physicochemical properties (dissolved oxygen, conductivity) and the composition of bacterial communities in A. aegypti breeding sites that influenced the relative abundance of several bacteria genera (e.g., Methylobacterium, Roseoccocus) on the corresponding larvae. A significant fraction of the bacterial communities identified on larvae, dominated by Herbiconiux and Microvirga genera, were consistently enriched in mosquitoes regardless the location. In conclusion, territory-specific differences observed in the biotic and abiotic properties of A. aegypti breeding sites raise concern about the impact of these changes on pathogen transmission by different A. aegypti populations.

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          The online version of this article (10.1007/s00248-020-01544-3) contains supplementary material, which is available to authorized users.

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          Most cited references75

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          phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

          Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data. Results Here we describe a software project, phyloseq, dedicated to the object-oriented representation and analysis of microbiome census data in R. It supports importing data from a variety of common formats, as well as many analysis techniques. These include calibration, filtering, subsetting, agglomeration, multi-table comparisons, diversity analysis, parallelized Fast UniFrac, ordination methods, and production of publication-quality graphics; all in a manner that is easy to document, share, and modify. We show how to apply functions from other R packages to phyloseq-represented data, illustrating the availability of a large number of open source analysis techniques. We discuss the use of phyloseq with tools for reproducible research, a practice common in other fields but still rare in the analysis of highly parallel microbiome census data. We have made available all of the materials necessary to completely reproduce the analysis and figures included in this article, an example of best practices for reproducible research. Conclusions The phyloseq project for R is a new open-source software package, freely available on the web from both GitHub and Bioconductor.
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            UPARSE: highly accurate OTU sequences from microbial amplicon reads.

            Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.
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              Ocean plankton. Structure and function of the global ocean microbiome.

              Microbes are dominant drivers of biogeochemical processes, yet drawing a global picture of functional diversity, microbial community structure, and their ecological determinants remains a grand challenge. We analyzed 7.2 terabases of metagenomic data from 243 Tara Oceans samples from 68 locations in epipelagic and mesopelagic waters across the globe to generate an ocean microbial reference gene catalog with >40 million nonredundant, mostly novel sequences from viruses, prokaryotes, and picoeukaryotes. Using 139 prokaryote-enriched samples, containing >35,000 species, we show vertical stratification with epipelagic community composition mostly driven by temperature rather than other environmental factors or geography. We identify ocean microbial core functionality and reveal that >73% of its abundance is shared with the human gut microbiome despite the physicochemical differences between these two ecosystems.
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                Author and article information

                Contributors
                lhery@pasteur-guadeloupe.fr
                aguidez@pasteur-cayenne.fr
                audrey-anne.durand@iaf.inrs.ca
                cdollin@pasteur-guadeloupe.fr
                josiann.guimond@iaf.inrs.ca
                yreynaud@pasteur-guadeloupe.fr
                jissaly@pasteur-cayenne.fr
                daniella.goindin@gmail.com
                gregory.legrave@hotmail.fr
                joel.gustave@ars.sante.fr
                sraffestin@pasteur-cayenne.fr
                sbreurec@gmail.com
                philippe.constant@iaf.inrs.ca
                isabelle.dusfour@pasteur.fr
                Claude.Guertin@iaf.inrs.ca
                avega@pasteur.fr
                Journal
                Microb Ecol
                Microb Ecol
                Microbial Ecology
                Springer US (New York )
                0095-3628
                1432-184X
                3 July 2020
                3 July 2020
                2021
                : 81
                : 1
                : 93-109
                Affiliations
                [1 ]GRID grid.452920.8, Laboratory of Vector Control Research, Transmission Reservoir and Pathogens Diversity Unit, , Institut Pasteur of Guadeloupe, ; Morne Jolivière, Guadeloupe France
                [2 ]Vector Control and Adaptation Unit, Cayenne, Institut Pasteur of French Guiana, Vectopôle Amazonien Emile Abonnenc, Cayenne, French Guiana France
                [3 ]GRID grid.418084.1, ISNI 0000 0000 9582 2314, INRS-Centre Armand-Frappier Santé Biotechnologie, ; Laval, Québec Canada
                [4 ]GRID grid.452920.8, Laboratory of Environment and Food Hygiene, , Institut Pasteur of Guadeloupe, ; Morne Jolivière, Guadeloupe France
                [5 ]Regional Health Agency of Guadeloupe, Gourbeyre, Guadeloupe France
                [6 ]Laboratory of Environment and Hygiene, Institut Pasteur of French Guiana, Cayenne, French Guiana France
                [7 ]Transmission, Reservoir and Diversity of Pathogens Unit, Institut Pasteur of Guadeloupe, Pointe-à-Pitre, France
                [8 ]Hyacinthe Bastaraud Faculty of Medicine, University of Antilles, Pointe-à-Pitre, France
                [9 ]INSERM Centre for Clinical Investigation 1424, Pointe-à-Pitre, Les Abymes France
                Author information
                http://orcid.org/0000-0002-1670-5350
                Article
                1544
                10.1007/s00248-020-01544-3
                7794107
                32621210
                812255d6-e824-4377-9c7a-1393464f69a4
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 February 2020
                : 15 June 2020
                Funding
                Funded by: Action Concertées Inter Pasteuriennes
                Award ID: Grant ACIP 01-2016
                Funded by: Programme Opérationnel FEDER-Guadeloupe-Conseil Régional 2014–2020
                Award ID: grant 2015-FED-192
                Funded by: Calmette & Yersin
                Award ID: Stage-2018
                Award Recipient :
                Funded by: La Région Guadeloupe
                Award ID: 2017-2020
                Award Recipient :
                Categories
                Environmental Microbiology
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2021

                Microbiology & Virology
                aedes aegypti,breeding site,physicochemical parameter,bacterial community

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