Published August 6, 2019 | Version v1
Dataset Open

Data from: Azteca ants maintain unique microbiomes across functionally distinct nest chambers

Description

The microbiome of built structures has considerable influence over an inhabitant's well-being, yet the vast majority of research has focused on human-built structures. Ants are well-known architects, capable of constructing elaborate dwellings, the microbiome of which is underexplored. Here, we explore the bacterial and fungal microbiomes in functionally distinct chambers within and outside the nests of Azteca alfari ants in Cecropia peltata trees. We predicted that A. alfari colonies 1) maintain distinct microbiomes within their nests compared to the surrounding environment, 2) maintain distinct microbiomes among nest chambers used for different functions, and 3) limit both ant and plant pathogens inside their nests. In support of these predictions, we found that internal and external nest sampling locations had distinct microbial communities, and A. alfari maintained lower bacterial richness in their "nurseries." While putative animal pathogens were suppressed in chambers that ants actively inhabited, putative plant pathogens were not, which does not support our hypothesis that A. alfari defends its host trees against microbial antagonists. Our results show that ants influence microbial communities inside their nests similar to studies on human homes. Unlike humans, ants limit the bacteria in their nurseries and potentially prevent the buildup of insect-infecting pathogens. These results highlight the importance of documenting how indoor microbiomes differ among species, which might improve our understanding of how to promote indoor health in human dwellings.

Notes

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: 2014170874

Files

adiv_Cecropia_Readinfile_Bact_OTUS_even1344.txt

Files (782.1 kB)

Name Size Download all
md5:4601e7f42b21e25215b51dacc8bd64f9
2.0 kB Preview Download
md5:f20d83172216c943fc80f937437c78da
2.0 kB Preview Download
md5:33839f0fed4f4a005ced4a21e4bf0885
250.5 kB Preview Download
md5:8f1605d83e1b9f037cc9ce02493735c5
229.3 kB Preview Download
md5:68dda660edb35423796ca47640fb0285
298.2 kB Preview Download

Additional details

Related works

Is cited by
10.1098/rspb.2019.1026 (DOI)