Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland

Frontiers in Microbiology
Tim Richter-HeitmannMichael W Friedrich

Abstract

Spatial and temporal processes shaping microbial communities are inseparably linked but rarely studied together. By Illumina 16S rRNA sequencing, we monitored soil bacteria in 360 stations on a 100 square meter plot distributed across six intra-annual samplings in a rarely managed, temperate grassland. Using a multi-tiered approach, we tested the extent to which stochastic or deterministic processes influenced the composition of local communities. A combination of phylogenetic turnover analysis and null modeling demonstrated that either homogenization by unlimited stochastic dispersal or scenarios, in which neither stochastic processes nor deterministic forces dominated, explained local assembly processes. Thus, the majority of all sampled communities (82%) was rather homogeneous with no significant changes in abundance-weighted composition. However, we detected strong and uniform taxonomic shifts within just nine samples in early summer. Thus, community snapshots sampled from single points in time or space do not necessarily reflect a representative community state. The potential for change despite the overall homogeneity was further demonstrated when the focus shifted to the rare biosphere. Rare OTU turnover, rather than nest...Continue Reading

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Citations

Sep 20, 2020·FEMS Microbiology Ecology·Syrie M HermansGavin Lear
Nov 12, 2020·FEMS Microbiology Ecology·Francisco PascoalCatarina Magalhães

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Methods Mentioned

BETA
PCA
PCR
GAM
GAMs

Software Mentioned

ANOSIM
vegan
dbRDA
Usearch
R
R Development Core
UCLUST
QIIME
ChimeraSlayer
iNEXT

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