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Stability and phylogenetic correlation in gut microbiota: lessons from ants and apes
Author(s) -
Sanders Jon G.,
Powell Scott,
Kronauer Daniel J. C.,
Vasconcelos Heraldo L.,
Frederickson Megan E.,
Pierce Naomi E.
Publication year - 2014
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.12611
Subject(s) - biology , phylogenetic tree , phylogenetics , gut flora , host (biology) , zoology , evolutionary biology , pyrosequencing , ecology , phylum , genetics , bacteria , gene , immunology
Correlation between gut microbiota and host phylogeny could reflect codiversification over shared evolutionary history or a selective environment that is more similar in related hosts. These alternatives imply substantial differences in the relationship between host and symbiont, but can they be distinguished based on patterns in the community data themselves? We explored patterns of phylogenetic correlation in the distribution of gut bacteria among species of turtle ants (genus C ephalotes ), which host a dense gut microbial community. We used 16 S r RNA pyrosequencing from 25 C ephalotes species to show that their gut community is remarkably stable, from the colony to the genus level. Despite this overall similarity, the existing differences among species' microbiota significantly correlated with host phylogeny. We introduced a novel analytical technique to test whether these phylogenetic correlations are derived from recent bacterial evolution, as would be expected in the case of codiversification, or from broader shifts more likely to reflect environmental filters imposed by factors such as diet or habitat. We also tested this technique on a published data set of ape microbiota, confirming earlier results while revealing previously undescribed patterns of phylogenetic correlation. Our results indicated a high degree of partner fidelity in the C ephalotes microbiota, suggesting that vertical transmission of the entire community could play an important role in the evolution and maintenance of the association. As additional comparative microbiota data become available, the techniques presented here can be used to explore trends in the evolution of host‐associated microbial communities.