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High-resolution QTL mapping with Diversity Outbred mice identifies genetic variants that impact gut microbiome composition

Florencia Schlamp, David Y Zhang, Juan Felipe Beltrán, Elissa J Cosgrove, Petr Simecek, Matthew Edwards, Julia K Goodrich, Ruth E Ley, Allan Pack, Gary A Churchill, Andrew G Clark
doi: https://doi.org/10.1101/722744
Florencia Schlamp
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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  • For correspondence: ac347@cornell.edu mfs97@cornell.edu
David Y Zhang
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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Juan Felipe Beltrán
†Department of Biomedical Engineering, Cornell University, Ithaca NY 14850, USA
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Elissa J Cosgrove
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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Petr Simecek
‡The Jackson Laboratory, Bar Harbor ME 04609, USA
§Central European Institute of Technology (CEITEC), Masaryk University, Brno 62500, Czech Republic
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Matthew Edwards
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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Julia K Goodrich
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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Ruth E Ley
**Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen 72026, Germany
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Allan Pack
††Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia PA 19104, USA
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Gary A Churchill
‡The Jackson Laboratory, Bar Harbor ME 04609, USA
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Andrew G Clark
*Department of Molecular Biology and Genetics, Cornell University, Ithaca NY 14850, USA
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  • For correspondence: ac347@cornell.edu mfs97@cornell.edu
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ABSTRACT

The composition of the gut microbiome is impacted by a complex array of factors, from nutrient composition and availability, to physical factors like temperature, pH, and flow rate, as well as interactions among the members of the microbial community. Many of these factors are affected by the host, raising the question of how host genetic variation impacts microbiome composition. Though human studies confirm this type of role for host genetics, its overall importance is still a subject of debate and remains difficult to study. The mouse model, by allowing the strict control of genetics, nutrition, and other environmental factors, has provided an excellent opportunity to extend this work, and the Diversity Outbred (DO) mice in particular present a chance to pinpoint host genetic variants that influence microbiome composition at different levels of generality. Here, we apply 16S rRNA gene sequencing to fecal samples of 247 DO male mice to estimate heritability and perform taxon-specific QTL mapping of microbial relative abundances revealing an increasingly heterogeneous picture of host function and microbial taxa at the host-microbiome interface. We present the first report of significant heritability of phylum Tenericutes in mice, and find novel QTL-spanning genes involved in antibacterial pathways, immune and inflammatory disease, and lipid metabolism.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • NCBI SRA BioProject ID: PRJNA639769

  • DO mice host-microbiome associations

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 05, 2021.
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High-resolution QTL mapping with Diversity Outbred mice identifies genetic variants that impact gut microbiome composition
Florencia Schlamp, David Y Zhang, Juan Felipe Beltrán, Elissa J Cosgrove, Petr Simecek, Matthew Edwards, Julia K Goodrich, Ruth E Ley, Allan Pack, Gary A Churchill, Andrew G Clark
bioRxiv 722744; doi: https://doi.org/10.1101/722744
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High-resolution QTL mapping with Diversity Outbred mice identifies genetic variants that impact gut microbiome composition
Florencia Schlamp, David Y Zhang, Juan Felipe Beltrán, Elissa J Cosgrove, Petr Simecek, Matthew Edwards, Julia K Goodrich, Ruth E Ley, Allan Pack, Gary A Churchill, Andrew G Clark
bioRxiv 722744; doi: https://doi.org/10.1101/722744

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