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Dataset . 2019
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2019
License: CC 0
Data sources: Datacite
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Data from: Social spider webs harbor largely consistent bacterial communities across broad spatial scales

Authors: Keiser, Carl N.; Hammer, Tobin J.; Pruitt, Jonathan N.;

Data from: Social spider webs harbor largely consistent bacterial communities across broad spatial scales

Abstract

Social animals that live in domiciles constructed from biomaterials may facilitate microbial growth. Spider webs are one of the most conspicuous biomaterials in nature, yet almost nothing is known about the potential for webs to harbor microbes, even in social spiders that live in dense, long-term aggregations. Here, we tested whether the dominant bacteria present in social spider webs vary across sampling localities and whether the more permanent retreat web harbors compositionally distinct microbes from the more ephemeral capture webs in the desert social spider Stegodyphus dumicola. We also sampled spider cuticles and prey items in a subset of colonies. We found that spider colonies across large spatial scales harbored similar web-associated bacterial communities. We also found substantial overlap in bacterial community composition between spider cuticle, prey, and web samples. These data suggest that social spider webs can harbor characteristic microbial communities and potentially facilitate microbial transmission among individuals, and this study serves as the first step towards understanding the microbial ecology of these peculiar animal societies.

Keiser et al - Stegodyphus colony microbiome metadata - TEXT FILEKeiser et al - Stegodyphus colony microbiomes - rep_set_zotus_filt_relabeled.faKeiser et al - Stegodyphus colony microbiome metadata - zotutab_wTaxKeiser et al - Stegodyphus colony microbiome metadata - TEXT FILE

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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