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Our results complement previous work in finding that phylogeny predominantly governs high-level microbiome community structure.
The EGT proportions were also expected from our current knowledge of the cecal microbiome community structure.
These EGT proportions were expected from our current knowledge of the chicken cecum microbiome community structure.
All microbiome community structure data are available as Additional file 1.
Community metabolome is much more predictive of dysbiosis than the underlying microbiome community structure.
In this study, we used microbiome community structure data to infer the possible enzymatic and metabolic molecular mechanisms underlying dysbiosis.
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(TXT 309 kb) Additional file 2: Community enzyme function profiles, predicted from microbiome community structures.
It has even been proposed that individuals might have unique microbiome community structures [ 45].
MDS plots for microbiome community structures, log-transformed community enzyme profiles, and total and secondary community metabolome models were generated.
Microbiome community structures were observed to be in one of two possible states: non-dysbiotic or dysbiotic.
We leveraged sequencing data from the HMP to investigate the association between microbiome community structures with its own host mtDNA variants.
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