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Dataset . 2015
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Data sources: ZENODO
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Dataset . 2015
License: CC 0
Data sources: Datacite
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Data from: Patterns, causes, and consequences of defensive microbiome dynamics across multiple scales

Authors: Smith, Andrew H.; Lukasik, Piotr; O'Connor, Michael P.; Lee, Amanda; Mayo, Garrett; Drott, Milton T.; Doll, Steven; +5 Authors

Data from: Patterns, causes, and consequences of defensive microbiome dynamics across multiple scales

Abstract

The microbiome can significantly impact host phenotypes and serve as an additional source of heritable genetic variation. While patterns across eukaryotes are consistent with a role for symbiotic microbes in host macroevolution, few studies have examined symbiont-driven host evolution or the ecological implications of a dynamic microbiome across temporal, spatial or ecological scales. The pea aphid, Acyrthosiphon pisum, and its eight heritable bacterial endosymbionts have served as a model for studies on symbiosis and its potential contributions to host ecology and evolution. But we know little about the natural dynamics or ecological impacts of the heritable microbiome of this cosmopolitan insect pest. Here we report seasonal shifts in the frequencies of heritable defensive bacteria from natural pea aphid populations across two host races and geographic regions. Microbiome dynamics were consistent with symbiont responses to host-level selection and findings from one population suggested symbiont-driven adaptation to seasonally changing parasitoid pressures. Conversely, symbiont levels were negatively correlated with enemy-driven mortality when measured across host races, suggesting important ecological impacts of host race microbiome divergence. Rapid drops in symbiont frequencies following seasonal peaks suggest microbiome instability in several populations, with potentially large costs of ‘superinfection’ under certain environmental conditions. In summary, the realization of several laboratory-derived, a priori expectations suggests important natural impacts of defensive symbionts in host-enemy eco-evolutionary feedbacks. Yet negative findings and unanticipated correlations suggest complexities within this system may limit or obscure symbiont-driven contemporary evolution, a finding of broad significance given the widespread nature of defensive microbes across plants and animals.

AppendixSIThis file is an excel database that includes data and data collection information.MolEcolSmithAppendixS1.xlsxHamiltonella sequence alignmentThis is a text file of DNA sequence alignments in FASTA formatHamiltonella defensaRegiella insecticola alignmentThis is a text file of sequence alignments in FASTA format.Regiella insecticolaSerratia symbiotica alignmentThis is a text file of a DNA sequence alignment in FASTA format.Serratia symbioticaX-type alignmentThis is a text file of a DNA sequence alignment in FASTA format.X-typeRickettsiella viridis alignmentThis is a text file of a DNA sequence alignment in FASTA format.RickettsiellaRickettsia alignmentThis is a text file of a DNA sequence alignment in FASTA format.RickettsiaSpiroplasma alignmentThis is a text file of a DNA sequence alignment in FASTA format.Spiroplasma

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Keywords

Aphidius ervi, Acyrthosiphon pisum, Pandora neoaphidis, Contemporary Evolution, Symbiosis, symbiosis

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selected citations
These citations are derived from selected sources.
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.
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