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      Aquaculture production of hatchling Hawaiian Bobtail Squid ( Euprymna scolopes) is negatively impacted by decreasing environmental microbiome diversity

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          Abstract

          Aims

          The Hawaiian Bobtail Squid ( Euprymna scolopes) is a model organism for investigating host–symbiont relationships. The current scientific focus is on the microbiome within E. scolopes, while very little is known about the microbiome of the tanks housing E. scolopes. We examined the hypothesis that bacterial communities and geochemistry within the squid tank environment correlate with the production of viable paralarval squid.

          Methods and Results

          Total DNA was extracted from sediment and filtered water samples from ‘productive’ squid cohorts with high embryonic survival and paralarval hatching, ‘unproductive’ cohorts with low embryonic survival and paralarval hatching. As a control total DNA was extracted from environmental marine locations where E. scolopes is indigenous. Comparative analysis of the bacterial communities by the 16S rRNA gene was performed using next generation sequencing. Thirty‐eight differentially abundant genera were identified in the adult tank waters. The majority of the sequences represented unclassified, candidate or novel genera. The characterized genera included Aquicella, Woeseia and Ferruginibacter, with Hyphomicrobium and Rhizohapis were found to be more abundant in productive adult tank water. In addition, nitrate and pH covaried with productive cohorts, explaining 67% of the bacterial populations. The lower abundance of nitrate‐reducing bacteria in unproductive adult tank water could explain detected elevated nitrate levels.

          Conclusions

          We conclude that microbiome composition and water geochemistry can negatively affect E. scolopes reproductive physiology in closed tank systems, ultimately impacting host‐microbe research using these animals.

          Significance and Impact of study

          These results identify the tight relationship between the microbiome and geochemistry to E. scolopes. From this study, it may be possible to design probiotic counter‐measures to improve aquaculture conditions for E. scolopes.

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          Most cited references48

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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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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                Author and article information

                Contributors
                bethany.rader@siu.edu
                Scott.Hamilton-brehm@siu.edu
                Journal
                J Appl Microbiol
                J Appl Microbiol
                10.1111/(ISSN)1365-2672
                JAM
                Journal of Applied Microbiology
                John Wiley and Sons Inc. (Hoboken )
                1364-5072
                1365-2672
                09 November 2021
                March 2022
                : 132
                : 3 ( doiID: 10.1111/jam.v132.3 )
                : 1724-1737
                Affiliations
                [ 1 ] School of Biological Sciences Southern Illinois University Carbondale Carbondale Illinois USA
                [ 2 ] Institute of Bioinformatics University of Georgia Athens Georgia USA
                Author notes
                [*] [* ] Correspondence

                Bethany A. Rader and Scott D. Hamilton‐Brehm, School of Biological Sciences, Southern Illinois University Carbondale, Carbondale, Illinois, USA.

                Email: bethany.rader@ 123456siu.edu and Scott.Hamilton-brehm@ 123456siu.edu

                Author information
                https://orcid.org/0000-0003-4178-3497
                https://orcid.org/0000-0002-7474-207X
                Article
                JAM15350 0130
                10.1111/jam.15350
                9299211
                34724303
                a2e90de1-a6a6-4401-84ea-9fca9fd112d5
                © 2021 The Authors. Journal of Applied Microbiology published by John Wiley & Sons Ltd on behalf of Society for Applied Microbiology

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 16 September 2021
                : 01 July 2021
                : 11 October 2021
                Page count
                Figures: 7, Tables: 2, Pages: 14, Words: 8791
                Funding
                Funded by: National Institute of Health , doi 10.13039/100000002;
                Award ID: 1R15GM119100
                Funded by: SIUC Faculty Startup
                Award ID: n/a
                Funded by: SIUC REACH
                Award ID: n/a
                Categories
                Original Article
                Original Articles
                Animal Microbiology/Animal Health Microbiology
                Custom metadata
                2.0
                March 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:20.07.2022

                Microbiology & Virology
                aquaculture,biodiversity,bobtail squid,environmental microbiology,euprymna scolopes,next generation sequencing

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