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      Oral administration of Pinus koraiensis cone essential oil reduces rumen methane emission by altering the rumen microbial composition and functions in Korean native goat ( Capra hircus coreanae)

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          Abstract

          This study aimed to investigate Pinus koraiensis cone essential oil (PEO) as a methane (CH 4) inhibitor and determine its impact on the taxonomic and functional characteristics of the rumen microbiota in goats. A total of 10 growing Korean native goats ( Capra hircus coreanae, 29.9 ± 1.58 kg, male) were assigned to different dietary treatments: control (CON; basal diet without additive) and PEO (basal diet +1 g/d of PEO) by a 2 × 2 crossover design. Methane measurements were conducted every 4 consecutive days for 17–20 days using a laser CH 4 detector. Samples of rumen fluid and feces were collected during each experimental period to evaluate the biological effects and dry matter (DM) digestibility after PEO oral administration. The rumen microbiota was analyzed via 16S rRNA gene amplicon sequencing. The PEO oral administration resulted in reduced CH 4 emission (eructation CH 4/body weight 0.75, p = 0.079) without affecting DM intake; however, it lowered the total volatile fatty acids ( p = 0.041), molar proportion of propionate ( p = 0.075), and ammonia nitrogen ( p = 0.087) in the rumen. Blood metabolites (i.e., albumin, alanine transaminase/serum glutamic pyruvate transaminase, creatinine, and triglyceride) were significantly affected ( p < 0.05) by PEO oral administration. The absolute fungal abundance ( p = 0.009) was reduced by PEO oral administration, whereas ciliate protozoa, total bacteria, and methanogen abundance were not affected. The composition of rumen prokaryotic microbiota was altered by PEO oral administration with lower evenness ( p = 0.054) observed for the PEO group than the CON group. Moreover, PICRUSt2 analysis revealed that the metabolic pathways of prokaryotic bacteria, such as pyruvate metabolism, were enriched in the PEO group. We also identified the Rikenellaceae RC9 gut group as the taxa potentially contributing to the enriched KEGG modules for histidine biosynthesis and pyruvate oxidation in the rumen of the PEO group using the FishTaco analysis. The entire co-occurrence networks showed that more nodes and edges were detected in the PEO group. Overall, these findings provide an understanding of how PEO oral administration affects CH 4 emission and rumen prokaryotic microbiota composition and function. This study may help develop potential manipulation strategies to find new essential oils to mitigate enteric CH 4 emissions from ruminants.

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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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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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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
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                18 May 2023
                2023
                : 10
                : 1168237
                Affiliations
                [1] 1Division of Applied Life Science (BK21), Gyeongsang National University , Jinju, Republic of Korea
                [2] 2Institute of Agriculture and Life Science (IALS), Gyeongsang National University , Jinju, Republic of Korea
                [3] 3Institute of Agriculture and Life Science and University-Centered Labs, Gyeongsang National University , Jinju, Republic of Korea
                [4] 4Department of Agricultural, Food and Nutritional Science, University of Alberta , Edmonton, AB, Canada
                [5] 5Department of Animal Science, Life and Industry Convergence Research Institute, Pusan National University , Miryang, Republic of Korea
                [6] 6Department of Animal Science and Technology, Chung-Ang University , Anseong, Republic of Korea
                [7] 7Animal Nutrition and Physiology Team, National Institute of Animal Science, RDA , Jeonju, Republic of Korea
                [8] 8Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University , Sunchon, Republic of Korea
                Author notes

                Edited by: Yosra Ahmed Soltan, Alexandria University, Egypt

                Reviewed by: Damiano Cavallini, University of Bologna, Italy; Jian Gao, Nanjing Agricultural University, China

                *Correspondence: Sung Sill Lee, lss@ 123456gnu.ac.kr

                These authors have contributed equally to this work

                Article
                10.3389/fvets.2023.1168237
                10234127
                37275608
                6fd5f1d8-106b-446a-9d50-370269777cf9
                Copyright © 2023 Choi, Lee, Kim, Eom, Jo, Guan, Seo, Park, Lee, Lee and Lee.

                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
                : 17 February 2023
                : 21 April 2023
                Page count
                Figures: 7, Tables: 5, Equations: 1, References: 95, Pages: 16, Words: 12169
                Categories
                Veterinary Science
                Original Research
                Custom metadata
                Animal Nutrition and Metabolism

                enteric methane emission,essential oil,feed additives,metataxonomic,rumen microbiota

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