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      Rumen microbiome in dairy calves fed copper and grape-pomace dietary supplementations: Composition and predicted functional profile

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          Abstract

          The rumen microbiome is fundamental for the productivity and health of dairy cattle and diet is known to influence the rumen microbiota composition. In this study, grape-pomace, a natural source of polyphenols, and copper sulfate were provided as feed supplementation in 15 Holstein-Friesian calves, including 5 controls. After 75 days of supplementation, genomic DNA was extracted from the rumen liquor and prepared for 16S rRNA-gene sequencing to characterize the composition of the rumen microbiota. From this, the rumen metagenome was predicted to obtain the associated gene functions and metabolic pathways in a cost-effective manner. Results showed that feed supplementations did alter the rumen microbiome of calves. Copper and grape-pomace increased the diversity of the rumen microbiota: the Shannon’s and Fisher’s alpha indices were significantly different across groups (p-values 0.045 and 0.039), and Bray-Curtis distances could separate grape-pomace calves from the other two groups. Differentially abundant taxa were identified: in particular, an uncultured Bacteroidales UCG-001 genus and OTUs from genus Sarcina were the most differentially abundant in pomace-supplemented calves compared to controls (p-values 0.003 and 0.0002, respectively). Enriched taxonomies such as Ruminiclostridium and Eubacterium sp., whose functions are related to degradation of the grape- pomace constituents (e.g. flavonoids or xyloglucan) have been described (p-values 0.027/0.028 and 0.040/0.022 in Pomace vs Copper and Controls, respectively). The most abundant predicted metagenomic genes belonged to the arginine and proline metabolism and the two- component (sensor/responder) regulatory system, which were increased in the supplemented groups. Interestingly, the lipopolysaccharide biosynthetic pathway was decreased in the two supplemented groups, possibly as a result of antimicrobial effects. Methanogenic taxa also responded to the feed supplementation, and methane metabolism in the rumen was the second most different pathway (up-regulated by feed supplementations) between experimental groups.

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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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            The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworks

            SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive 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. SILVA provides a manually curated taxonomy for all three domains of life, based on representative phylogenetic trees for the small- and large-subunit rRNA genes. This article describes the improvements the SILVA taxonomy has undergone in the last 3 years. Specifically we are focusing on the curation process, the various resources used for curation and the comparison of the SILVA taxonomy with Greengenes and RDP-II taxonomies. Our comparisons not only revealed a reasonable overlap between the taxa names, but also points to significant differences in both names and numbers of taxa between the three resources.
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              The Relation Between the Number of Species and the Number of Individuals in a Random Sample of an Animal Population

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Resources
                Role: ConceptualizationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2018
                29 November 2018
                : 13
                : 11
                : e0205670
                Affiliations
                [1 ] Institute for Biology and Biotechnology in Agriculture (IBBA), CNR, Milano, Italy
                [2 ] School of Medicine, Cardiff University, Cardiff, United Kingdom
                [3 ] Faculty of Bioscience and Technology for Food, Agriculture and Environment, Università di Teramo, Teramo, Italy
                [4 ] Bioinformatics Unit, PTP Science Park, Lodi, Italy
                [5 ] Department of Medical and Oral Sciences and Biotechnologies, Università degli Studi “Gabriele d’Annunzio”, Chieti, Italy
                University of Illinois, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-3901-2354
                http://orcid.org/0000-0002-7878-9318
                Article
                PONE-D-18-10605
                10.1371/journal.pone.0205670
                6264861
                30496201
                b0eede1e-91c2-47fd-bf1f-39ccadbf6aa1
                © 2018 Biscarini et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 May 2018
                : 29 September 2018
                Page count
                Figures: 7, Tables: 4, Pages: 20
                Funding
                Funded by: EU Marie Sklodowska-Curie funded Industry Academia Partnerships & Pathways (IAPP)
                Award ID: 612116
                Award Recipient :
                Funded by: Rural Development Plan 2007 – 2013 – MISURA 1.2.4 - Regione Abruzzo – Italy
                Award ID: DH26/40
                Award Recipient :
                This work is part of the project VINCARN (“Miglioramento delle carni bovine, suine e avicole attraverso l’utilizzo di sottoprodotti della filiera enologica per fini mangimistici”) supported by a grant from the Rural Development Plan 2007 – 2013 – MISURA 1.2.4 - Regione Abruzzo – Italy DH26/40 (Project manager Prof. Giuseppe Martino). The authors are grateful to the company “Mario Maesa,” Casoli (CH), Italy, for the kind cooperation. The work of FB and G. Masetti was supported by the EU- FP7 project INDIGO, in the framework of People Marie Sklodowska-Curie Actions, Marie Curie Industry-Academia Partnerships and Pathways (grant agreement number: 612116).
                Categories
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                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbiome
                Biology and Life Sciences
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                Genomics
                Microbial Genomics
                Microbiome
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                Microbiology
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                Custom metadata
                All data have been uploaded on the EBI repository ( https://www.ebi.ac.uk/) for 16S rRNA-gene sequencing data: the study ID is study PRJEB28136 (ERP110307)".

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