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Plant-associate interactions and diversification across trophic levels

Authors: Yoder, Jeremy; Dang, Albert; MacGregor, Caitlin; Plaza, Mikhail;

Plant-associate interactions and diversification across trophic levels

Abstract

Interactions between species are widely understood to have promoted the diversification of life on Earth, but how interactions spur the formation of new species remains unclear. Interacting species often become locally adapted to each other, but they may also be subject to shared dispersal limitations and environmental conditions. Moreover, theory predicts that different kinds of interactions have different effects on diversification. To better understand how species interactions promote diversification, we compiled population genetic studies of host plants and intimately associated herbivores, parasites, and mutualists. We used Bayesian multiple regressions and the BEDASSLE modeling framework to test whether host and associate population structures were correlated over and above the potentially confounding effects of geography and shared environmental variation. We found that associates' population structure often paralleled their hosts' population structure, and that this effect is robust to accounting for geographic distance and climate. Associate genetic structure was significantly explained by plant genetic structure somewhat more often in antagonistic interactions than in mutualistic ones. This aligns with a key prediction of coevolutionary theory, that antagonistic interactions promote diversity through local adaptation of antagonists to hosts, while mutualistic interactions more often promote diversity via the effect of hosts' geographic distribution on mutualists' dispersal.

Data are provided as delimited text files, with R scripts for all analysis and visualization in the paper.Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: DEB-2001180Funding provided by: California State University, NorthridgeCrossref Funder Registry ID: http://dx.doi.org/10.13039/100008775Award Number:

Data were compiled from published papers describing population genetic structure in host plants and at least one herbivore, pathogen, parasite, or mutualist, sampled across the same geographic sites. Literature search parameters for included studies, data extraction and processing, and data analysis are described in the paper's Methods.

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Keywords

Mutualism, herbivory, Coevolution

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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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