Competition-colonization tradeoffs structure fungal diversity

The ISME Journal
Gabriel R SmithKabir G Peay

Abstract

Findings of immense microbial diversity are at odds with observed functional redundancy, as competitive exclusion should hinder coexistence. Tradeoffs between dispersal and competitive ability could resolve this contradiction, but the extent to which they influence microbial community assembly is unclear. Because fungi influence the biogeochemical cycles upon which life on earth depends, understanding the mechanisms that maintain the richness of their communities is critically important. Here, we focus on ectomycorrhizal fungi, which are microbial plant mutualists that significantly affect global carbon dynamics and the ecology of host plants. Synthesizing theory with a decade of empirical research at our study site, we show that competition-colonization tradeoffs structure diversity in situ and that models calibrated only with empirically derived competition-colonization tradeoffs can accurately predict species-area relationships in this group of key eukaryotic microbes. These findings provide evidence that competition-colonization tradeoffs can sustain the landscape-scale diversity of microbes that compete for a single limiting resource.

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Citations

Feb 26, 2019·Environmental Microbiology·Viola KurmWilhelmina H Gera Hol
Feb 14, 2020·The New Phytologist·Gabriel R Smith, Kabir G Peay
May 2, 2020·FEMS Microbiology Ecology·Miguel A RedondoJonàs Oliva
Jul 14, 2019·The ISME Journal·Gerald M CobianAnthony S Amend
Dec 10, 2020·Molecular Ecology·Gabriel Reuben SmithKabir G Peay
Apr 20, 2019·Trends in Microbiology·Joshua Ladau, Emiley A Eloe-Fadrosh
Mar 16, 2021·Proceedings. Biological Sciences·Julia A BoyleJohn R Stinchcombe
Apr 6, 2021·Frontiers in Microbiology·Yoriko Sugiyama, Hirotoshi Sato
Apr 25, 2021·Ecology Letters·Gabriel Reuben Smith, Kabir G Peay
May 12, 2021·Trends in Biotechnology·William L King, Terrence H Bell

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Software Mentioned

R package Hmisc
PERMANOVA
R package vegan
Geneious
cowplot
R package mgcv
R
ggplot2
GGally
EcM

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