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Growth of saprotrophic fungi and bacteria in soil

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Rousk, Johannes, Bååth, Erland·2011·FEMS Microbiology Ecology

Abstract

Bacterial and fungal growth rate measurements are sensitive variables to detect changes in environmental conditions. However, while considerable progress has been made in methods to assess the species composition and biomass of fungi and bacteria, information about growth rates remains surprisingly rudimentary. We review the recent history of approaches to assess bacterial and fungal growth rates, leading up to current methods, especially focusing on leucine/thymidine incorporation to estimate bacterial growth and acetate incorporation into ergosterol to estimate fungal growth. We present the underlying assumptions for these methods, compare estimates of turnover times for fungi and bacteria based on them, and discuss issues, including for example elusive conversion factors. We review what the application of fungal and bacterial growth rate methods has revealed regarding the influence of the environmental factors of temperature, moisture (including drying/rewetting), pH, as well as the influence of substrate additions, the presence of plants and toxins. We highlight experiments exploring the competitive and facilitative interaction between bacteria and fungi enabled using growth rate methods. Finally, we predict that growth methods will be an important complement to molecular approaches to elucidate fungal and bacterial ecology, and we identify methodological concerns and how they should be addressed.

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Metadata

Authors
Rousk, J., & Bååth, E.
Venue
FEMS Microbiology Ecology
Published
2011-04-28
Volume
78
Issue
1
Pages
17-30
ISSN
0168-6496 (ISSN-L)
OpenAlex
W1941482455
Cited by
509
References
0
FWCI
31.21
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Growth of saprotrophic fungi and bacteria in soil. https://app.cochat.ai/papers/10.1111/j.1574-6941.2011.01106.x
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Rousk, J., & Bååth, E. (2011). Growth of saprotrophic fungi and bacteria in soil. FEMS Microbiology Ecology. https://doi.org/10.1111/j.1574-6941.2011.01106.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.