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      Body Metrics and the Gut Microbiome in Response to Macronutrient Limitation in the Zebrafish Danio rerio

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          Abstract

          Background

          Healthy and predictable physiologic homeostasis is paramount in animal models for biomedical research. Proper macronutrient intake is an essential and controllable environmental factor for maintaining animal health and promoting experimental reproducibility.

          Objective and Methods

          Evaluate reductions in dietary macronutrient composition on body weight metrics, composition, and gut microbiome in Danio rerio.

          Methods

          D. rerio were fed reference diets deficient in either protein or lipid content for 14 weeks.

          Results

          Diets of reduced-protein or reduced-fat resulted in lower weight gain than the standard reference diet in male and female D. rerio. Females fed the reduced-protein diet had increased total body lipid, suggesting increased adiposity compared with females fed the standard reference diet. In contrast, females fed the reduced-fat diet had decreased total body lipid compared with females fed the standard reference diet. The microbial community in male and female D. rerio fed the standard reference diet displayed high abundances of Aeromonas, Rhodobacteraceae, and Vibrio. In contrast, Vibrio spp. were dominant in male and female D. rerio fed a reduced-protein diet, whereas Pseudomonas displayed heightened abundance when fed the reduced-fat diet. Predicted functional metagenomics of microbial communities (PICRUSt2) revealed a 3- to 4-fold increase in the KEGG (Kyoto Encyclopedia of Genes and Genomes) functional category of steroid hormone biosynthesis in both male and female D. rerio fed a reduced-protein diet. In contrast, an upregulation of secondary bile acid biosynthesis and synthesis and degradation of ketone bodies was concomitant with a downregulation in steroid hormone biosynthesis in females fed a reduced-fat diet.

          Conclusions

          These study outcomes provide insight into future investigations to understand nutrient requirements to optimize growth, reproductive, and health demographics to microbial populations and metabolism in the D. rerio gut ecosystem. These evaluations are critical in understanding the maintenance of steady-state physiologic and metabolic homeostasis in D. rerio. Curr Dev Nutr 20xx;x:xx.

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          Most cited references71

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Journal
                Curr Dev Nutr
                Curr Dev Nutr
                Current Developments in Nutrition
                American Society for Nutrition
                2475-2991
                09 March 2023
                April 2023
                09 March 2023
                : 7
                : 4
                : 100065
                Affiliations
                [1 ]Department of Biology, The University of Alabama at Birmingham, Birmingham, AL, United States
                [2 ]Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, Birmingham, AL, United States
                [3 ]Texas A&M AgriLife Extension Agriculture and Life Sciences, College Station, TX, United States
                [4 ]J. Frank Barefield, Jr. Department of Criminal Justice, The University of Alabama at Birmingham, Birmingham, AL, United States
                Author notes
                []Corresponding author. Department of Biology, The University of Alabama at Birmingham, 1300 University, 7 Blvd., Birmingham, AL 35294, USA. authorsawatts@ 123456uab.edu
                Article
                S2475-2991(23)19738-1 100065
                10.1016/j.cdnut.2023.100065
                10257228
                37304849
                e1389cd0-bd14-4471-ab36-5b8e9f735ca1
                © 2023 Published by Elsevier Inc. on behalf of American Society for Nutrition.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 December 2022
                : 28 February 2023
                : 4 March 2023
                Categories
                Original Research

                diet,homeostasis,nutrition,picrust2,16s rrna,qiime2
                diet, homeostasis, nutrition, picrust2, 16s rrna, qiime2

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