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      Taxonomy and Functional Diversity in the Fecal Microbiome of Beef Cattle Reared in Brazilian Traditional and Semi-Intensive Production Systems

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          Abstract

          The importance of beef production for economy of Brazil and the growing demand for animal protein across the globe warrant an improvement in the beef production system. Although most attention has been on modulation of the rumen microbiome to improve ruminant production, the role of the lower gut microbiome in host health and nutrition remains relatively unexplored. This work aimed to investigate the taxonomy and functional variations in the fecal microbiome of Brazilian beef cattle reared in two different production systems using a metagenomic approach. Sixty male beef cattle from six farms representing semi-intensive (I, n = 2) and traditional (T, n = 4) Brazilian beef production systems were enrolled in the study. Shotgun sequencing was used to characterize taxonomic and functional composition and diversity of the microbiome in fecal samples collected from each animal. Fecal samples were analyzed for copper (Cu), lead (Pb), nitrogen (N), phosphorous (P), selenium (Se), and zinc (Zn) and stable isotopes of carbon ( 13C) and nitrogen ( 15N). The fecal microbiome was influenced by the beef production systems with greater functional and lower taxonomic diversity in beef cattle feces from I systems compared with that from T systems. The concentration of N, P, and Zn was higher in beef cattle feces from I systems compared with that from T systems and was associated with taxonomic and functional profile of fecal microbiome in I system, suggesting the role of fecal nutrients in shaping system-specific microbiome. Semi-intensive management practices led to a more complex but less connected fecal microbiome in beef cattle. The microbial community in beef cattle feces from I systems was characterized by greater abundance of beneficial bacteria (phylum Firmicutes and butyrate-producing bacteria family Lachnospiraceae and genera Anaerostipes, Blautia, Butyrivibrio, Eubacterium, Roseburia, and Ruminococcus). In addition, the fecal abundance of microbial genes related to immune system, nutrient metabolism, and energy production was greater in beef cattle raised under I systems compared with that under T systems. Findings of the current study suggest that semi-intensive management practices could facilitate the development of a healthier and more efficient fecal microbiome in beef cattle by driving an increase in the abundance of beneficial bacteria and functional genes.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            KEGG: kyoto encyclopedia of genes and genomes.

            M Kanehisa (2000)
            KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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              Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation

              The RefSeq project at the National Center for Biotechnology Information (NCBI) maintains and curates a publicly available database of annotated genomic, transcript, and protein sequence records (http://www.ncbi.nlm.nih.gov/refseq/). The RefSeq project leverages the data submitted to the International Nucleotide Sequence Database Collaboration (INSDC) against a combination of computation, manual curation, and collaboration to produce a standard set of stable, non-redundant reference sequences. The RefSeq project augments these reference sequences with current knowledge including publications, functional features and informative nomenclature. The database currently represents sequences from more than 55 000 organisms (>4800 viruses, >40 000 prokaryotes and >10 000 eukaryotes; RefSeq release 71), ranging from a single record to complete genomes. This paper summarizes the current status of the viral, prokaryotic, and eukaryotic branches of the RefSeq project, reports on improvements to data access and details efforts to further expand the taxonomic representation of the collection. We also highlight diverse functional curation initiatives that support multiple uses of RefSeq data including taxonomic validation, genome annotation, comparative genomics, and clinical testing. We summarize our approach to utilizing available RNA-Seq and other data types in our manual curation process for vertebrate, plant, and other species, and describe a new direction for prokaryotic genomes and protein name management.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                08 December 2021
                2021
                : 12
                : 768480
                Affiliations
                [1] 1Laboratory of Animal Nutrition, Center for Nuclear Energy in Agriculture, University of São Paulo , São Paulo, Brazil
                [2] 2Laboratory of Molecular Cell Biology, Center for Nuclear Energy in Agriculture, University of São Paulo , São Paulo, Brazil
                [3] 3Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading , Reading, United Kingdom
                [4] 4Reference Laboratory on Classification and Evaluation of Animal Products, Institute of Zootechnics , Nova Odessa, Brazil
                [5] 5Radioisotopes Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo , São Paulo, Brazil
                Author notes

                Edited by: Shyam Sundar Paul, Directorate of Poultry Research (DPR), ICAR, India

                Reviewed by: Qiang Lin, University of Antwerp, Belgium; Chaoliang Wen, China Agricultural University, China

                *Correspondence: Partha Ray, partha.ray@ 123456tnc.org

                Present address: Partha Ray, The Nature Conservancy, Arlington, VA, United States

                This article was submitted to Systems Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2021.768480
                8692951
                34956130
                78120300-427c-4752-a24b-93f992440710
                Copyright © 2021 Corrêa, Jimenez, Mendes, Rymer, Ray, Gerdes, da Silva, De Nadai Fernandes, Abdalla and Louvandini.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 August 2021
                : 04 November 2021
                Page count
                Figures: 7, Tables: 3, Equations: 0, References: 80, Pages: 14, Words: 9551
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                fecal microbiome,metagenome,minerals,beef cattle,production system
                Microbiology & Virology
                fecal microbiome, metagenome, minerals, beef cattle, production system

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