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      Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle

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          Abstract

          Background

          The symbiotic rumen microbiota is essential for the digestion of plant fibers and contributes to the variation of production and health traits in ruminants. However, to date, the heritability of rumen microbial features and host genetic components associated with the rumen microbiota, as well as whether such genetic components are animal performance relevant, are largely unknown.

          Results

          In the present study, we assessed rumen microbiota from a cohort of 709 beef cattle and showed that multiple factors including breed, sex, and diet drove the variation of rumen microbiota among animals. The diversity indices, the relative abundance of ~ 34% of microbial taxa (59 out of 174), and the copy number of total bacteria had a heritability estimate ( h 2) ≥ 0.15, suggesting that they are heritable elements affected by host additive genetics. These moderately heritable rumen microbial features were also found to be associated with host feed efficiency traits and rumen metabolic measures (volatile fatty acids). Moreover, 19 single nucleotide polymorphisms (SNPs) located on 12 bovine chromosomes were found to be associated with 14 (12 of them had h 2 ≥ 0.15) rumen microbial taxa, and five of these SNPs were known quantitative trait loci for feed efficiency in cattle.

          Conclusions

          These findings suggest that some rumen microbial features are heritable and could be influenced by host genetics, highlighting a potential to manipulate and obtain a desirable and efficient rumen microbiota using genetic selection and breeding. It could be a useful strategy to further improve feed efficiency and optimize rumen fermentation through targeting both cattle and their rumen microbiota.

          Electronic supplementary material

          The online version of this article (10.1186/s40168-019-0699-1) contains supplementary material, which is available to authorized users.

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          Most cited references74

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

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            Cytoscape: a software environment for integrated models of biomolecular interaction networks.

            Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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              Basic local alignment search tool.

              A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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                Author and article information

                Contributors
                (+1) 7804922480 , lguan@ualberta.ca
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                13 June 2019
                13 June 2019
                2019
                : 7
                : 92
                Affiliations
                [1 ]GRID grid.17089.37, Department of Agricultural, Food and Nutritional Science, , University of Alberta, ; Edmonton, Alberta T6G 2P5 Canada
                [2 ]ISNI 0000 0001 1302 4958, GRID grid.55614.33, Lacombe Research and Development Centre, , Agriculture and Agri-Food Canada, ; Lacombe, Alberta T4L 1W1 Canada
                Author information
                http://orcid.org/0000-0002-8420-4371
                Article
                699
                10.1186/s40168-019-0699-1
                6567441
                31196178
                46bb6319-dc9e-4b35-a479-ccb9c7ffee84
                © Crown 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 December 2018
                : 19 May 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002715, Alberta Livestock and Meat Agency;
                Award ID: 2013R029R
                Award Recipient :
                Funded by: Natural Sciences and Engineering Research Council of Canada
                Award ID: Discovery
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000146, Alberta Innovates - Technology Futures;
                Award ID: Graduate student scholarship
                Award Recipient :
                Funded by: Alberta Agriculture and Forestry
                Award ID: 2018F095R
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                cattle,feed efficacy,heritability,host genotype,rumen microbiota

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