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      The impact of different diets and genders on fecal microbiota in Hanwoo cattle

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          Abstract

          Bovine fecal microbiota is important for host health and its composition can be affected by various factors, such as diet, age, species, breed, regions, and environments. The objective of this study was to evaluate the impact of diet and gender on fecal microbiota in Korean native Hanwoo cattle. The 16S rRNA gene amplicon sequencing of fecal microbiota was conducted from 44 Hanwoo cattle divided into four groups: (1) 11 heifers fed an oat hay plus total mixed ration (TMR) diet for breeding (HOTB), (2) 11 heifers fed an early fattening TMR diet (HEFT), (3) 11 steers fed the early fattening TMR diet (SEFT), and (4) 11 steers fed the late fattening TMR diet (SLFT). Firmicutes and Bacteroidota were the first and second most dominant phyla in all the samples, respectively. The Firmicutes/Bacteroidota (F/B) ratio associated with feed efficiency was significantly greater in the SLFT group than in the other groups. At the genus level, Romboutsia, Paeniclostridium, and Turicibacterwere the most abundant in the SLFT while Akkermansia, Bacteroides, and Monoglobus were the most abundant in the HOTB group. Although the same early fattening TMR diet was fed to Hanwoo heifers and steers, Marvinbryantia and Coprococcus were the most abundant in the HEFT group while Alistipes and Ruminococcus were the most abundant in the SEFT group. Shannon and Simpson diversity indices were significantly lower in the SLFT group than in the other groups. Distribution of fecal microbiota and functional genetic profiles were significantly different among the four treatment groups. The present study demonstrates that different diets and genders can affect fecal microbiota and the F/B ratio may be associated with feed efficiency in Hanwoo cattle. Our results may help develop strategies to improve gut health and productivity through manipulation of fecal microbiota using the appropriate diet considering Hanwoo cattle gender.

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          Most cited references43

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          Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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            Metagenomic biomarker discovery and explanation

            This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
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              MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data

              Abstract The widespread application of next-generation sequencing technologies has revolutionized microbiome research by enabling high-throughput profiling of the genetic contents of microbial communities. How to analyze the resulting large complex datasets remains a key challenge in current microbiome studies. Over the past decade, powerful computational pipelines and robust protocols have been established to enable efficient raw data processing and annotation. The focus has shifted toward downstream statistical analysis and functional interpretation. Here, we introduce MicrobiomeAnalyst, a user-friendly tool that integrates recent progress in statistics and visualization techniques, coupled with novel knowledge bases, to enable comprehensive analysis of common data outputs produced from microbiome studies. MicrobiomeAnalyst contains four modules - the Marker Data Profiling module offers various options for community profiling, comparative analysis and functional prediction based on 16S rRNA marker gene data; the Shotgun Data Profiling module supports exploratory data analysis, functional profiling and metabolic network visualization of shotgun metagenomics or metatranscriptomics data; the Taxon Set Enrichment Analysis module helps interpret taxonomic signatures via enrichment analysis against >300 taxon sets manually curated from literature and public databases; finally, the Projection with Public Data module allows users to visually explore their data with a public reference data for pattern discovery and biological insights. MicrobiomeAnalyst is freely available at http://www.microbiomeanalyst.ca.
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                Author and article information

                Journal
                J Anim Sci Technol
                J Anim Sci Technol
                J Anim Sci Technol
                jast
                Journal of Animal Science and Technology
                Korean Society of Animal Sciences and Technology
                2672-0191
                2055-0391
                September 2022
                30 September 2022
                : 64
                : 5
                : 897-910
                Affiliations
                [1 ]Division of Animal Science, Chonnam National University , Gwangju 61186, Korea
                [2 ]Graduate School of Agricultural Science, Tohoku University , Sendai 980-0845, Japan
                Author notes
                [* ] Corresponding author Minseok Kim, Division of Animal Science, Chonnam National University, Gwangju 61186, Korea. Tel: +82-62-530-2128, E-mail: mkim2276@ 123456jnu.ac.kr
                Author information
                https://orcid.org/0000-0003-1887-5000
                https://orcid.org/0000-0003-1931-2007
                https://orcid.org/0000-0003-0062-3745
                https://orcid.org/0000-0003-1618-0897
                https://orcid.org/0000-0003-2013-8210
                https://orcid.org/0000-0002-8802-5661
                Article
                jast-64-5-897
                10.5187/jast.2022.e71
                9574620
                36287745
                31755a16-89b0-4cb7-91e9-9a2f921e2ab3
                © Copyright 2022 Korean Society of Animal Science and Technology

                This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 July 2022
                : 11 August 2022
                : 25 August 2022
                Funding
                Funded by: CrossRef http://dx.doi.org/10.13039/501100002456, Chonnam National University;
                Award ID: 2020-0359
                Funded by: CrossRef http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: NRF-2020R1A2C1011188
                Categories
                Research Article
                Custom metadata
                2022-10-31

                16s rrna gene amplicon sequencing,diet,fecal microbiota,gender,hanwoo

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