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      Characterizing the gut microbiome of broilers raised under conventional and no antibiotics ever practices

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          Abstract

          Meat from broilers raised without the use of antibiotics is becoming increasingly popular among consumers. Consequently, interest in the microbial profiling of chickens produced under nonconventional practices is growing, however, research on this topic is lacking. The current study was designed to characterize the dynamics of gut microbial populations of broilers raised under conventional and no antibiotics ever ( NAE) practices. Four commercial farms (2 conventional and 2 NAE) were included in this study. On each farm, cecal ( n = 224) and ileal ( n = 224) contents were collected from birds at different stages during the grow out of a single flock and following transportation to the processing facility. Cecal microbiota was dominated by the genera Escherichia and Enterococcus upon hatching in both conventional and NAE flocks, shifting with time toward predominantly Faecalibacterium and Bacteroides. The composition of cecal microbial communities of NAE broilers was different than that of conventional chickens ( P ≤ 0.05). Conventional broilers harbored a rich, but less diverse cecal microbiota than NAE, while the ileal microbiota was primarily populated with genera previously named Lactobacillus, which exhibited a higher abundance in NAE broilers ( P ≤ 0.05). In both production systems, the microbiota followed a similar temporal succession that was more evident in the ceca. Transportation to the processing plant impacted the microbial composition of the ileum ( P ≤ 0.05), characterized by an increase in the relative abundance of Psychrobacter. Finally, differential abundance analysis showed a positive correlation between Campylobacter and Enorma within the cecum microbiota, and a negative correlation with Salmonella.

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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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            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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              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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                Author and article information

                Contributors
                Journal
                Poult Sci
                Poult Sci
                Poultry Science
                Elsevier
                0032-5791
                1525-3171
                03 June 2023
                August 2023
                03 June 2023
                : 102
                : 8
                : 102832
                Affiliations
                [* ]Department of Food Science and Technology, University of Georgia, Athens, GA, USA
                []Department of Poultry Science, Auburn University, Auburn, AL, USA
                []Department of Poultry Science, University of Georgia, Athens, GA, USA
                [§ ]Center for Food Safety, Department of Food Science and Technology, University of Georgia, Griffin, GA, USA
                Author notes
                [1 ]Corresponding author: hcd82599@ 123456uga.edu
                Article
                S0032-5791(23)00351-6 102832
                10.1016/j.psj.2023.102832
                10404755
                ca9de1af-c0be-4863-9cdd-ceb8336fcd51
                © 2023 The Authors

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

                History
                : 28 March 2023
                : 31 May 2023
                Categories
                MICROBIOLOGY AND FOOD SAFETY

                microbiome,poultry,antibiotics,conventional,production
                microbiome, poultry, antibiotics, conventional, production

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