Recent studies highlight the utility of quantitative trait locus (QTL) mapping for determining the contribution of host genetics to inter-individual variation in the microbiota. We previously demonstrated that similar to the gut microbiota, abundances of bacterial taxa in the skin are significantly influenced by host genetic variation. In this study, we analyzed the skin microbiota of mice from the 15th generation of an advanced intercross line using a novel approach of extending bacterial trait mapping to both the 16S rRNA gene copy (DNA)- and transcript (RNA) level, which reflect relative bacterial cell number and activity, respectively. Remarkably, the combination of highly recombined individuals and 53,203 informative SNPs allowed the identification of genomic intervals as small as <0.1 megabases containing single genes. Furthermore, the inclusion of 16S rRNA transcript-level mapping dramatically increased the number of significant associations detected, with five versus 21 significant SNP-bacterial trait associations based on DNA- compared to RNA-level profiling, respectively
Accession | PRJEB15403 |
Scope | Monoisolate |
Publications (total 3) Less... | - Leamy LJ et al., "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.", Genome Biol, 2014;15(12):552
More...- Leamy LJ et al., "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.", Genome Biol, 2014;15(12):552
- Srinivas G et al., "Genome-wide mapping of gene-microbiota interactions in susceptibility to autoimmune skin blistering.", Nat Commun, 2013;4:2462
- Benson AK et al., "Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.", Proc Natl Acad Sci U S A, 2010 Nov 2;107(44):18933-8
Less... |
Submission | Registration date: 30-Apr-2017 MAX PLANCK INSTITUTE FOR EVOLUTIONARY BIOLOGY |
Locus Tag Prefix | BQ3209 |
Project Data:
Resource Name | Number of Links |
---|
Publications |
PubMed | 3 |
PMC | 3 |
No public data is linked to this project. Any recently released data that cites this project will be linked to it within a few days.