Microscale Insight into Microbial Seed Banks
Authored by Kenneth J Locey, Melany C Fisk, J T Lennon
Date Published: 2017
DOI: 10.3389/fmicb.2016.02040
Sponsors:
United States National Science Foundation (NSF)
U.S. Army Research
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Microbial dormancy leads to the emergence of seed banks in
environmental, engineered, and host-associated ecosystems. These seed
banks act as reservoirs of diversity that allow microbes to persist
under adverse conditions, including extreme limitation of resources.
While microbial seed banks may be influenced by macroscale factors, such
as the supply of resources, the importance of microscale encounters
between organisms and resource particles is often overlooked. We
hypothesized that dimensions of spatial, trophic, and resource
complexity determine rates of encounter, which in turn, drive the
abundance, productivity, and size of seed banks. We tested this using
>10,000 stochastic individual based models (IBMs) that simulated
energetic, physiological, and ecological processes across combinations
of resource, spatial, and trophic complexity. These IBMs allowed
realistic dynamics and the emergence of seed banks from ecological
selection on random variation in species traits. Macroscale factors like
the supply and concentration of resources had little effect on resource
encounter rates. In contrast, encounter rates were strongly influenced
by interactions between dispersal mode and spatial structure, and also
by the recalcitrance of resources. In turn, encounter rates drove
abundance, productivity, and seed bank dynamics. Time series revealed
that energetically costly traits can lead to large seed banks and that
recalcitrant resources can lead to greater stability through the
formation of seed banks and the slow consumption of resources. Our
findings suggest that microbial seed banks emerge from microscale
dimensions of ecological complexity and their influence on resource
limitation and energetic costs.
Tags
Individual Based Models
Diversity
ecology
Model
carbon
Scaling
Colonization
Communities
Soil organic-matter
Limitation
Seed bank
Encounter rate
Marine-bacteria
Dormancy
Microbial diversity
Dormany
Energy limitation
Deep biosphere