From kill the winner to eliminate the winner in open phage-bacteria systems

Research output: Contribution to journalJournal articleResearchpeer-review

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From kill the winner to eliminate the winner in open phage-bacteria systems. / Marantos, Anastasios; Mitarai, Namiko; Sneppen, Kim.

In: PLOS Computational Biology, Vol. 18, No. 8, e1010400, 08.08.2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Marantos, A, Mitarai, N & Sneppen, K 2022, 'From kill the winner to eliminate the winner in open phage-bacteria systems', PLOS Computational Biology, vol. 18, no. 8, e1010400. https://doi.org/10.1371/journal.pcbi.1010400

APA

Marantos, A., Mitarai, N., & Sneppen, K. (2022). From kill the winner to eliminate the winner in open phage-bacteria systems. PLOS Computational Biology, 18(8), [e1010400]. https://doi.org/10.1371/journal.pcbi.1010400

Vancouver

Marantos A, Mitarai N, Sneppen K. From kill the winner to eliminate the winner in open phage-bacteria systems. PLOS Computational Biology. 2022 Aug 8;18(8). e1010400. https://doi.org/10.1371/journal.pcbi.1010400

Author

Marantos, Anastasios ; Mitarai, Namiko ; Sneppen, Kim. / From kill the winner to eliminate the winner in open phage-bacteria systems. In: PLOS Computational Biology. 2022 ; Vol. 18, No. 8.

Bibtex

@article{130549e864804b99ada5bce998a766f6,
title = "From kill the winner to eliminate the winner in open phage-bacteria systems",
abstract = "Phages and bacteria manage to coexist and sustain ecosystems with a high diversity of strains, despite limited resources and heavy predation. This diversity can be explained by the {"}kill the winner{"} model where virulent phages predominantly prey on fast-growing bacteria and thereby suppress the competitive exclusion of slower-growing bacteria. Here we computationally investigate the robustness of these systems against invasions, where new phages or bacteria may interact with more than one of the resident strains. The resulting interaction networks were found to self-organize into a network with strongly interacting specialized predator-prey pairs, resembling that of the {"}kill the winner{"} model. Furthermore, the {"}kill the winner{"} dynamics is enforced with the occasional elimination of even the fastest-growing bacteria strains due to a phage infecting the fast and slow growers. The frequency of slower-growing strains was increased with the introduction of even a few non-diagonal interactions. Hence, phages capable of infecting multiple hosts play significant roles both in the evolution of the ecosystem by eliminating the winner and in supporting diversity by allowing slow growers to coexist with faster growers.",
author = "Anastasios Marantos and Namiko Mitarai and Kim Sneppen",
year = "2022",
month = aug,
day = "8",
doi = "10.1371/journal.pcbi.1010400",
language = "English",
volume = "18",
journal = "P L o S Computational Biology (Online)",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "8",

}

RIS

TY - JOUR

T1 - From kill the winner to eliminate the winner in open phage-bacteria systems

AU - Marantos, Anastasios

AU - Mitarai, Namiko

AU - Sneppen, Kim

PY - 2022/8/8

Y1 - 2022/8/8

N2 - Phages and bacteria manage to coexist and sustain ecosystems with a high diversity of strains, despite limited resources and heavy predation. This diversity can be explained by the "kill the winner" model where virulent phages predominantly prey on fast-growing bacteria and thereby suppress the competitive exclusion of slower-growing bacteria. Here we computationally investigate the robustness of these systems against invasions, where new phages or bacteria may interact with more than one of the resident strains. The resulting interaction networks were found to self-organize into a network with strongly interacting specialized predator-prey pairs, resembling that of the "kill the winner" model. Furthermore, the "kill the winner" dynamics is enforced with the occasional elimination of even the fastest-growing bacteria strains due to a phage infecting the fast and slow growers. The frequency of slower-growing strains was increased with the introduction of even a few non-diagonal interactions. Hence, phages capable of infecting multiple hosts play significant roles both in the evolution of the ecosystem by eliminating the winner and in supporting diversity by allowing slow growers to coexist with faster growers.

AB - Phages and bacteria manage to coexist and sustain ecosystems with a high diversity of strains, despite limited resources and heavy predation. This diversity can be explained by the "kill the winner" model where virulent phages predominantly prey on fast-growing bacteria and thereby suppress the competitive exclusion of slower-growing bacteria. Here we computationally investigate the robustness of these systems against invasions, where new phages or bacteria may interact with more than one of the resident strains. The resulting interaction networks were found to self-organize into a network with strongly interacting specialized predator-prey pairs, resembling that of the "kill the winner" model. Furthermore, the "kill the winner" dynamics is enforced with the occasional elimination of even the fastest-growing bacteria strains due to a phage infecting the fast and slow growers. The frequency of slower-growing strains was increased with the introduction of even a few non-diagonal interactions. Hence, phages capable of infecting multiple hosts play significant roles both in the evolution of the ecosystem by eliminating the winner and in supporting diversity by allowing slow growers to coexist with faster growers.

U2 - 10.1371/journal.pcbi.1010400

DO - 10.1371/journal.pcbi.1010400

M3 - Journal article

C2 - 35939510

VL - 18

JO - P L o S Computational Biology (Online)

JF - P L o S Computational Biology (Online)

SN - 1553-734X

IS - 8

M1 - e1010400

ER -

ID: 316877371