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      Blood meal source and mixed blood-feeding influence gut bacterial community composition in Aedes aegypti

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          Abstract

          Background

          The guts of blood-sucking insects host a community of bacteria that can shift dramatically in response to biotic and abiotic factors. Identifying the key factors structuring these microbial communities has important ecological and epidemiological implications.

          Methods

          We used the yellow fever mosquito, Aedes aegypti, to investigate the impact of mixed blood meals on gut microbiota of vector mosquitoes. Adult females were experimentally fed on sugar or blood from chicken, rabbit or a mixture of chicken and rabbit blood, and their gut microbiota were characterized using 16S rRNA gene amplification and MiSeq sequencing.

          Results

          The gut bacterial communities of mosquitoes fed on the three blood meal treatments clustered separately, suggesting that host species identity and mixed blood-feeding are key determinants of gut bacterial community composition in mosquitoes. Mixed blood meal had a synergistic effect on both operational taxonomic unit (OTU) richness and the Shannon diversity index, suggesting that mixed blood-feeding can offset the nutritional deficit of blood meals from certain host species. The microbial communities observed in this study were distinct from those identified from similarly fed Ae. aegypti from our previous study.

          Conclusions

          These findings demonstrate that vector host-feeding preferences can influence gut microbial composition and diversity, which could potentially impact pathogen acquisition and transmission by the vector. The results also demonstrate that different microenvironmental conditions within the laboratory may play an important role in structuring the microbial communities of independently reared mosquito colonies.

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          Most cited references59

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing

            High-throughput sequencing has revolutionized microbial ecology, but read quality remains a significant barrier to accurate taxonomy assignment and alpha diversity assessment for microbial communities. We demonstrate that high-quality read length and abundance are the primary factors differentiating correct from erroneous reads produced by Illumina GAIIx, HiSeq, and MiSeq instruments. We present guidelines for user-defined quality-filtering strategies, enabling efficient extraction of high-quality data from, and facilitating interpretation of Illumina sequencing results.
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              WHAT IS THE OBSERVED RELATIONSHIP BETWEEN SPECIES RICHNESS AND PRODUCTIVITY?

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                Author and article information

                Contributors
                Ephantus.Muturi@usda.gov
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                28 January 2021
                28 January 2021
                2021
                : 14
                : 83
                Affiliations
                [1 ]GRID grid.507311.1, Crop Bioprotection Research Unit, Agricultural Research Service, , U.S. Department of Agriculture, ; 1815 N. University St, Peoria, 61604 IL USA
                [2 ]GRID grid.35403.31, ISNI 0000 0004 1936 9991, Department of Entomology, , University of Illinois at Urbana-Champaign, ; 505 S. Goodwin Ave, Urbana, IL 61801 USA
                [3 ]GRID grid.35403.31, ISNI 0000 0004 1936 9991, Department of Evolution, Ecology and Behavior, School of Integrative Biology, , University of Illinois at Urbana-Champaign, ; 505 S. Goodwin Ave, Urbana, 61801 IL USA
                Article
                4579
                10.1186/s13071-021-04579-8
                7841894
                33509255
                e6a61013-da5b-44d8-a57d-b2a032bc7643
                © The Author(s) 2021

                Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 December 2020
                : 1 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100008982, National Science Foundation;
                Award ID: NSF DEB 1754115
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Parasitology
                mixed blood-feeding,miseq,gut microbiota,aedes aegypti
                Parasitology
                mixed blood-feeding, miseq, gut microbiota, aedes aegypti

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