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The answer, as always, probably lies somewhere in between. Recent research is talking about genome-microbiome associations:
So this is how complex these interactions are. The authors made a diagram of these interactions:
The conclusion:
http://genomemedicine.com/content/6/12/107
Our findings indicate that host genetics are part of a complex web of host-associated factors influencing microbiome composition. We performed a meta-analysis of interactions between clinical host factors and bacterial taxa using the above 474 subjects and an additional 55 subjects who had recently taken antibiotics. This analysis included NOD2 as one of the host factors. We identified an additional 99 significant associations of non-genetic factors with relative abundance of specific bacterial taxa, largely in agreement with previous analyses of the IBD microbial environment.
This analysis revealed a web of complex overlapping linkages between numerous host factors and bacterial taxa. For example, recent antibiotic usage is associated with systematic shifts in many major taxonomic groups (Figure 6; FDR <0.05); immunosuppressants are associated with decreased Firmicutes, and Ruminococcaceae. Biopsy location and cohort membership had similarly broad effects; age, gender, and disease phenotype had measurable, although less broad, effects; genotype, as represented by the NOD2 subtype, had a modest effect in relation to other factors. Inflammatory status of the biopsied tissue was associated with increased relative abundance of unclassified members of Lactobacillus, and with decreased relative abundance of Bacteroides uniformis (Figure S5 in Additional file 1). This analysis demonstrates the comprehensive and intermingled effects of treatment history, gastrointestinal biogeography, and other host and environmental factors on gut microbiome profile and makes clear the need to account for host factors when linking host genotype to microbial composition in a phenotypically heterogeneous population. We confirmed that host genetics as a whole do have a significant effect on microbiome profile by correlating overall between-subject genetic distance (Manhattan distance) with overall between-subject microbiome distance (unweighted UniFrac distance) (P < 5.0 × 10-10; Figure S6 in Additional file 1), but that it is only a minor contributor in the context of other sources of variation. A recent study of treatment-naïve pediatric patients with CD identified consistent microbiome shifts in patients with recent antibiotic exposure toward the disease-related state 20]. That study exemplified the need to control for the potentially confounding effects of antibiotics when attempting to identify bacterial profiles associated with disease. Based on several studies linking short- and long-term dietary exposure to microbiome profile, it is also likely to be useful to include food intake diaries or dietary recall questionnaires in future genotype-microbiome research.
So this is how complex these interactions are. The authors made a diagram of these interactions:
The conclusion:
Taken together, our findings indicate a complex set of associations between the mucosal-adherent microbiome and genetic impairment of several host immune pathways. Although we have been living and evolving with our microbial symbionts throughout human evolution, we have only been aware of their existence for a few centuries, and the genetic and functional diversity of our so-called 'second genome' has only become apparent in the last few decades. Also in recent decades incidence of IBDs and other autoimmune and autoinflammatory diseases has increased dramatically 42], and a rapidly growing set of these diseases has been linked to shifts both in taxonomic carriage and functional potential of host-associated microbial communities. Although our data are cross-sectional and therefore cannot define causality, our analyses demonstrate complex host genetic associations with taxonomic and metabolic dysbiosis in humans. These include implications of microbiome-wide associations with TNFSF15, IL12B, and with innate immune response, inflammatory response, and the JAK-STAT pathway, as well as NOD2-related increases in Enterobacteriaceae relative abundance. Future studies may be warranted to account for the effects of copy number variation, pleiotropic genes and epigenetic modifications. It is also possible that certain genotype-microbiome associations observed in IBD patients may be disease-independent and may be relevant to healthy individuals and individuals with other diseases. The methods we employed were validated on independent cohorts and make possible well-powered false-positive-controlled testing of microbiome-wide host genetic associations.
http://genomemedicine.com/content/6/12/107