mSystems · 2018 · 215 citations · 51 references
Life SciencesBiologyEcologyCoevolutionEvolutionary EcologyMicrobial EcologyCoevolution In Microbial CommunitiesCoevolution Of MicrobesEvolutionary Ecology Of MicrobesHost CoevolutionHost-microbe CoevolutionHost-microbe InteractionsCoevolutionary ModelingFilteringMicrobial CoexistenceMicrobial Species InteractionsMicrobiome CoevolutionMicrobiome-host CoevolutionQualitative Models
Phylosymbiosis is a pattern defined as the tendency of closely related species to host microbiota whose compositions resemble each other more than host species drawn at random from the same tree. Understanding the mechanisms behind phylosymbiosis is important because it can shed light on rules governing the assembly of host-associated microbiotas and, potentially, their coevolutionary dynamics with hosts. For example, is phylosymbiosis a result of coevolution, or can it be generated by simple ecological filtering processes? Beyond qualitative theoretical models, quantitative theoretical expectations can provide new insights. For example, deviations from a simple baseline of ecological filtering may be used to test more-complex hypotheses (e.g., coevolution). Here, we use simulations to provide evidence that simple host-related ecological filtering can readily generate phylosymbiosis, and we contrast these predictions with real-world data. We find that while phylosymbiosis is widespread in nature, phylosymbiosis patterns are compatible with a simple ecological model in the majority of taxa. Internal compartments of hosts, such as the animal gut, often display stronger phylosymbiosis than expected from a purely ecological filtering process, suggesting that other mechanisms are also involved.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
DADA2: High-resolution sample inference from Illumina amplicon data
Benjamin J. Callahan, Paul J. McMurdie, Michael Rosen et al. · Nature Methods · 2016 · 36.3K citations
A new method for non‐parametric multivariate analysis of variance
Marti J. Anderson · Austral Ecology · 2001 · 13.3K citations
Structure, function and diversity of the healthy human microbiome
Curtis Huttenhower, J. Fah Sathirapongsasuti, Nicola Segata et al. · Nature · 2012 · 11.9K citations · Full text
Life Sciences, Biology, Microbiology +17