Abstract
Abstract
Background
Understanding community assembly mechanisms across taxa and space is fundamental for microbial ecology. However, the variability and determinants of assembly processes over taxa and space remain unclear. Here, we investigated taxonomic dependency and spatial heterogeneity in bacterial assembly mechanisms across coastal waters in the East China Sea using neutral and null models with customized visualization strategies.
Results
Overall, bacterial assembly mechanisms varied across broad taxonomic groups (phyla and proteobacterial classes) and space at the regional scale. A determinism–stochasticity balanced mechanism governed total bacterial assembly, while taxonomic dependency existed in assembly mechanisms and ecological processes. Among community ecological features, niche breadth and negative-to-positive cohesion ratio were strongly associated with the determinism-to-stochasticity ratio of bacterial groups. Bacterial assembly mechanisms commonly exhibited spatial heterogeneity, the extent and determinants of which varied across taxonomic groups. Spatial assembly of total bacteria was directly driven by many environmental factors and potential interactions between taxa, but not directly by geographic factors. Overall, the bacterial groups with higher spatial heterogeneity in assembly mechanisms were more related to environmental and/or geographic factors (except Bacteroidetes), while those with lower heterogeneity were more related to ecological features.
Conclusions
Our results confirm the pervasiveness of taxonomic dependency and spatial heterogeneity in bacterial assembly, providing a finer understanding about regulation across complex coastal waters.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Ningbo
Fundamental Research Funds for the Provincial Universities of Zhejiang
Zhejiang Provincial Natural Science Foundation of China
Graduate Research Innovation Fund in Ningbo University
K. C. Wong Magna Fund in Ningbo University
Publisher
Springer Science and Business Media LLC
Subject
Ecological Modeling,Ecology