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      Functional and Compositional Changes in the Fecal Microbiome of a Shorebird during Migratory Stopover

      research-article
      a , a , a , b ,
      (ad hoc peer reviewer)
      mSystems
      American Society for Microbiology
      16S rRNA, fatty acid, metatranscriptome, migration, mRNA, Ruddy Turnstone, metatranscriptomics, shorebird

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          ABSTRACT

          Shorebirds migrate long distances twice annually, which requires intense physiological and morphological adaptations, including the ability to rapidly gain weight via fat deposition at stopover locations. The role of the microbiome in weight gain in avian hosts is unresolved, but there is substantial evidence to support the hypothesis that the microbiome is involved with host weight from mammalian microbiome literature. Here, we collected 100 fecal samples of Ruddy Turnstones to investigate microbiome composition and function during stopover weight gain in Delaware Bay, USA. Using 16S rRNA sequencing on 90 of these samples and metatranscriptomic sequencing on 22, we show that taxonomic composition of the microbiome shifts during weight gain, as do functional aspects of the metatranscriptome. We identified 10 genes that are associated with weight class, and polyunsaturated fatty acid biosynthesis in the microbiota is significantly increasing as birds gain weight. Our results support that the microbiome is a dynamic feature of host biology that interacts with both the host and the environment and may be involved in the rapid weight gain of shorebirds.

          IMPORTANCE Many animals migrate long distances annually, and these journeys require intense physiological and morphological adaptations. One such adaptation in shorebirds is the ability to rapidly gain weight at stopover locations in the middle of their migrations. The role of the microbiome in weight gain in birds is unresolved but is likely to play a role. Here, we collected 100 fecal samples from Ruddy Turnstones to investigate microbiome composition (who is there) and function (what they are doing) during stopover weight gain in Delaware Bay, USA. Using multiple molecular methods, we show that both taxonomic composition and function of the microbiome shifts during weight gain. We identified 10 genes that are associated with weight class, and polyunsaturated fatty acid biosynthesis in the microbiota is significantly increasing as birds gain weight. Our results support that the microbiome is a dynamic feature of host biology that interacts with both the host and the environment and may be involved in the rapid weight gain of shorebirds.

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          Most cited references73

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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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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                Role: Editor
                Role: ad hoc peer reviewer
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                14 February 2023
                Mar-Apr 2023
                14 February 2023
                : 8
                : 2
                : e01128-22
                Affiliations
                [a ] Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA
                [b ] Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, USA
                The University of Maine
                University of Pittsburgh
                Author notes
                [*]

                Present address: Kirsten Grond, Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK, USA.

                [§]

                Present address: Artemis S. Louyakis, Colgate-Palmolive Company, Piscataway, NJ, USA.

                Kirsten Grond and Sarah M. Hird These authors contributed equally to this work. Author order was determined by total effort towards the paper.

                The authors declare a conflict of interest. Artemis S. Louyakis declares employment by private corporation Colgate-Palmolive Company; however, this company has had no influence or interaction with the contents of this manuscript.

                Author information
                https://orcid.org/0000-0001-6197-7139
                https://orcid.org/0000-0002-1998-9387
                https://orcid.org/0000-0002-4514-0467
                Article
                01128-22 msystems.01128-22
                10.1128/msystems.01128-22
                10134852
                36786579
                62523cb2-27cd-4018-a9fe-db724b359641
                Copyright © 2023 Grond et al.

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

                History
                : 15 November 2022
                : 4 January 2023
                Page count
                supplementary-material: 7, Figures: 7, Tables: 0, Equations: 0, References: 76, Pages: 15, Words: 9634
                Funding
                Funded by: University of Connecticut (Uconn), FundRef https://doi.org/10.13039/100007710;
                Award Recipient :
                Categories
                Research Article
                editors-pick, Editor's Pick
                open-peer-review, Open Peer Review
                host-microbial-interactions, Host-Microbial Interactions
                Custom metadata
                March/April 2023

                16s rrna,fatty acid,metatranscriptome,migration,mrna,ruddy turnstone,metatranscriptomics,shorebird

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