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      Host genetics and diet, but not immunoglobulin A expression, converge to shape compositional features of the gut microbiome in an advanced intercross population of mice

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          Abstract

          Background

          Individuality in the species composition of the vertebrate gut microbiota is driven by a combination of host and environmental factors that have largely been studied independently. We studied the convergence of these factors in a G 10 mouse population generated from a cross between two strains to search for quantitative trait loci (QTLs) that affect gut microbiota composition or ileal Immunoglobulin A (IgA) expression in mice fed normal or high-fat diets.

          Results

          We found 42 microbiota-specific QTLs in 27 different genomic regions that affect the relative abundances of 39 taxa, including four QTL that were shared between this G 10 population and the population previously studied at G 4. Several of the G 10 QTLs show apparent pleiotropy. Eight of these QTLs, including four at the same site on chromosome 9, show significant interaction with diet, implying that diet can modify the effects of some host loci on gut microbiome composition. Utilization patterns of IghV variable regions among IgA-specific mRNAs from ileal tissue are affected by 54 significant QTLs, most of which map to a segment of chromosome 12 spanning the Igh locus. Despite the effect of genetic variation on IghV utilization, we are unable to detect overlapping microbiota and IgA QTLs and there is no significant correlation between IgA variable pattern utilization and the abundance of any of the taxa from the fecal microbiota.

          Conclusions

          We conclude that host genetics and diet can converge to shape the gut microbiota, but host genetic effects are not manifested through differences in IgA production.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13059-014-0552-6) contains supplementary material, which is available to authorized users.

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          Most cited references39

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          Introduction to Quantitative Genetics

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            Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease.

            Crohn's disease and ulcerative colitis, the two main types of chronic inflammatory bowel disease, are multifactorial conditions of unknown aetiology. A susceptibility locus for Crohn's disease has been mapped to chromosome 16. Here we have used a positional-cloning strategy, based on linkage analysis followed by linkage disequilibrium mapping, to identify three independent associations for Crohn's disease: a frameshift variant and two missense variants of NOD2, encoding a member of the Apaf-1/Ced-4 superfamily of apoptosis regulators that is expressed in monocytes. These NOD2 variants alter the structure of either the leucine-rich repeat domain of the protein or the adjacent region. NOD2 activates nuclear factor NF-kB; this activating function is regulated by the carboxy-terminal leucine-rich repeat domain, which has an inhibitory role and also acts as an intracellular receptor for components of microbial pathogens. These observations suggest that the NOD2 gene product confers susceptibility to Crohn's disease by altering the recognition of these components and/or by over-activating NF-kB in monocytes, thus documenting a molecular model for the pathogenic mechanism of Crohn's disease that can now be further investigated.
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              Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.

              In vertebrates, including humans, individuals harbor gut microbial communities whose species composition and relative proportions of dominant microbial groups are tremendously varied. Although external and stochastic factors clearly contribute to the individuality of the microbiota, the fundamental principles dictating how environmental factors and host genetic factors combine to shape this complex ecosystem are largely unknown and require systematic study. Here we examined factors that affect microbiota composition in a large (n = 645) mouse advanced intercross line originating from a cross between C57BL/6J and an ICR-derived outbred line (HR). Quantitative pyrosequencing of the microbiota defined a core measurable microbiota (CMM) of 64 conserved taxonomic groups that varied quantitatively across most animals in the population. Although some of this variation can be explained by litter and cohort effects, individual host genotype had a measurable contribution. Testing of the CMM abundances for cosegregation with 530 fully informative SNP markers identified 18 host quantitative trait loci (QTL) that show significant or suggestive genome-wide linkage with relative abundances of specific microbial taxa. These QTL affect microbiota composition in three ways; some loci control individual microbial species, some control groups of related taxa, and some have putative pleiotropic effects on groups of distantly related organisms. These data provide clear evidence for the importance of host genetic control in shaping individual microbiome diversity in mammals, a key step toward understanding the factors that govern the assemblages of gut microbiota associated with complex diseases.
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                Author and article information

                Contributors
                ljleamy@uncc.edu
                sakelly@owu.edu
                jnietfeldt1@unl.edu
                ryan.m.legge@gmail.com
                fma2@unl.edu
                hua@unc.edu
                rohita.sinha@gmail.com
                daniel.peterson@jhmi.edu
                jwalter2@unl.edu
                abenson1@unl.edu
                dpomp@unc.edu
                Journal
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1465-6906
                1465-6914
                17 December 2014
                17 December 2014
                2014
                : 15
                : 12
                : 552
                Affiliations
                [ ]Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina 28223 USA
                [ ]Department of Zoology, Ohio Wesleyan University, Delaware, Ohio 43015 USA
                [ ]Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599 USA
                [ ]Department of Food Science and Technology and Core for Applied Genomics and Ecology, University of Nebraska, 329 Food Industry Complex, Lincoln, Nebraska 68583 USA
                [ ]Department of Pathology, Johns Hopkins University, Baltimore, MD 21205 USA
                Article
                552
                10.1186/s13059-014-0552-6
                4290092
                25516416
                340fce7d-af07-46ec-9a8b-3e4d891beed5
                © Leamy et al.; licensee BioMed Central. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 3 September 2013
                : 21 November 2014
                Categories
                Research
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                © The Author(s) 2014

                Genetics
                Genetics

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