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The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Elements of a theory for the mechanisms controlling abundance, diversity, and biogeochemical role of lytic bacterial viruses in aquatic systems

Thingstad, T. Frede·2000·Limnology and Oceanography

Abstract

Mechanisms controlling virus abundance and partitioning of loss of bacterial production between viral lysis and protozoan predation are discussed within the framework of an idealized Lotka‐Volterra–type model. This combines nonselective protozoan predation with host‐selective viral lysis of bacteria. The analysis leads to a reciprocal relationship between bacterial diversity and viruses, in which coexistence of competing bacterial species is ensured by the presence of viruses that ‘kill the winner,’ whereas the differences in substrate affinity between the coexisting bacterial species determine viral abundance. The ability of the model to reproduce published observations, such as an approximate 1:10 ratio between bacterial and viral abundance, and the ability of viral lysis to account for 10–50% of bacterial loss are discussed.

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Metadata

Authors
Thingstad, T. F.
Venue
Limnology and Oceanography
Publisher
Wiley
Published
2000-09
Volume
45
Issue
6
Pages
1320-1328
ISSN
  • 0024-3590 (ISSN-L)
  • 1939-5590
OpenAlex
W2121009717
Cited by
1,021
References
28
FWCI
11.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Elements of a theory for the mechanisms controlling abundance, diversity, and biogeochemical role of lytic bacterial viruses in aquatic systems. https://app.cochat.ai/papers/10.4319/lo.2000.45.6.1320
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Thingstad, T. F. (2000). Elements of a theory for the mechanisms controlling abundance, diversity, and biogeochemical role of lytic bacterial viruses in aquatic systems. Limnology and Oceanography. https://doi.org/10.4319/lo.2000.45.6.1320

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.