Record Details

An Affinity–Effect Relationship for Microbial Communities in Plant–Soil Feedback Loops

ScholarsArchive at Oregon State University

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Title An Affinity–Effect Relationship for Microbial Communities in Plant–Soil Feedback Loops
Names Lou, Yi (creator)
Clay, Sharon A. (creator)
Davis, Adam S. (creator)
Dille, Anita (creator)
Felix, Joel (creator)
Ramirez, Analiza H. M. (creator)
Sprague, Christy L. (creator)
Yannarell, Anthony C. (creator)
Date Issued 2014-05 (iso8601)
Note To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Springer. The published article can be found at: http://link.springer.com/journal/248.
Abstract Feedback loops involving soil microorganisms can
regulate plant populations. Here, we hypothesize that microorganisms
are most likely to play a role in plant–soil feedback
loops when they possess an affinity for a particular plant and
the capacity to consistently affect the growth of that plant for
good or ill. We characterized microbial communities using
whole-community DNA fingerprinting from multiple "home-and-away" experiments involving giant ragweed (Ambrosia
trifida L.) and common sunflower (Helianthus annuus L.), and
we looked for affinity–effect relationships in these microbial
communities. Using canonical ordination and partial least
squares regression, we developed indices expressing each microorganism's affinity for ragweed or sunflower and its
putative effect on plant biomass, and we used linear regression
to analyze the relationship between microbial affinity and
effect. Significant linear affinity–effect relationships were
found in 75% of cases. Affinity–effect relationships were
stronger for ragweed than for sunflower, and ragweed affinity–effect relationships showed consistent potential for negative
feedback loops. The ragweed feedback relationships indicated
the potential involvement of multiple microbial taxa,
resulting in strong, consistent affinity–effect relationships in
spite of large-scale microbial variability between trials. In
contrast, sunflower plant–soil feedback may involve just a
few key players, making it more sensitive to underlying
microbial variation. We propose that affinity–effect relationship
can be used to determine key microbial players in plant–soil feedback against a low "signal-to-noise" background of
complex microbial datasets.
Genre Article
Identifier Lou, Y., Clay, S. A., Davis, A. S., Dille, A., Felix, J., Ramirez, A. H., ... & Yannarell, A. C. (2014). An Affinity–Effect Relationship for Microbial Communities in Plant–Soil Feedback Loops. Microbial Ecology, 67(4), 866-876. doi:10.1007/s00248-013-0349-2

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