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Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...

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Related Experiment Video

Updated: Mar 8, 2026

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions

Published on: November 6, 2016

Microscale Insight into Microbial Seed Banks.

Kenneth J Locey¹, Melany C Fisk², J T Lennon¹

¹Department of Biology, Indiana University Bloomington, IN, USA.

Frontiers in Microbiology

|January 26, 2017

Summary

This summary is machine-generated.

Microbial seed banks persist through dormancy. Microscale complexity, not macroscale factors, drives microbial seed bank size and productivity by influencing resource encounters.

Keywords:

deep biosphere dormany encounter rate energy limitation individual based models microbial diversity scaling seed bank

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Microscopy Techniques for Interpreting Fungal Colonization in Mycoheterotrophic Plants Tissues and Symbiotic Germination of Seeds

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Published on: May 17, 2022

Area of Science:

Microbial Ecology
Ecological Modeling

Background:

Microbial dormancy forms seed banks in diverse ecosystems, enabling persistence under resource scarcity.
While macroscale factors influence seed banks, microscale interactions are critical but often overlooked.

Purpose of the Study:

To investigate how spatial, trophic, and resource complexity at the microscale influence microbial seed bank dynamics.
To determine the relationship between encounter rates and seed bank abundance, productivity, and size.

Main Methods:

Utilized over 10,000 stochastic individual-based models (IBMs) simulating microbial energetic, physiological, and ecological processes.
Varied resource, spatial, and trophic complexity to model realistic ecological selection and seed bank emergence.

Main Results:

Microscale encounter rates, influenced by dispersal, spatial structure, and resource recalcitrance, were key drivers, not macroscale resource supply.
Energetically costly traits correlated with larger seed banks; recalcitrant resources enhanced stability via slow consumption and seed bank formation.

Conclusions:

Microbial seed banks emerge from microscale ecological complexity impacting resource limitation and energetic costs.
Understanding microscale interactions is crucial for predicting microbial seed bank dynamics and ecosystem stability.