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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Science of The T...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Science of The Total Environment
Article . 2024 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Top-Down Predators Shape Soil Bacterial Community Composition While Bottom-Up Nutrients Drive Bacterial Abundance

Authors: Seda Ozer Bodur; Kazuki Suzuki; Naoki Harada; Rasit Asiloglu;

Top-Down Predators Shape Soil Bacterial Community Composition While Bottom-Up Nutrients Drive Bacterial Abundance

Abstract

Although the top-down and bottom-up concept in microbial food-webs has been a primary interest in ecology, less is still known about it in soil ecosystems. Protists are the primary top-down predators of bacterial communities, altering their compositions, while the bottom-up resources are the primary factors limiting bacterial growth. Here, we hypothesized that the top-down predators modulate soil bacterial community composition, while the bottom-up nutrients control the bacterial growth and population. To precisely control nutrient levels, we used an inert soil substitute consisting of a combination of calcined clay and sand. Nutrients equivalent to the reference paddy field soil were added to microcosms as a control treatment. To investigate the effects of C, N, and P, six additional bottom-up treatments in the absence and double amounts of the nutrients were prepared. Four top-down treatments (no protist addition, Acanthamoeba castellanii, Vermamoeba vermiformis, and Heteromita globosa) were set up for each bottom-up treatment. A total of 252 microcosms under 28 treatments were incubated. Bacterial communities were analyzed using high-throughput sequencing and real-time PCR in the 1st, 3rd, and 5th weeks. The results revealed that the top-down predators significantly altered the bacterial community composition, and the bacterial population was predominantly controlled by the bottom-up nutrients. Analysis of absolute abundance data demonstrated that both top-down and bottom-up factors shaped the bacterial community structure (community composition and population). Random forest analysis classified the amplicon sequence variants associated with the treatments, showing that mostly similar families were affected by both bottom-up and top-down factors. In conclusion, the results of this study fully supported our hypothesis that top-down predators alter community composition, while bottom-up factors influence bacterial population dynamics.

Related Organizations
Keywords

Soil, Food Chain, Bacteria, Nitrogen, Microbiota, Animals, Phosphorus, Nutrients, Soil Microbiology, Ecosystem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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