Phage–bacteria infection networks

Weitz, Joshua S.; Poisot, Timothée; Meyer, Justin R.; Flores, Cesar O.; Valverde, Sergi; Sullivan, Matthew B.; Hochberg, Michael

doi:10.1016/j.tim.2012.11.003

Cited by 274 publications

(335 citation statements)

References 74 publications

Supporting

Mentioning

327

Contrasting

Unclassified

Order By: Relevance

“…Despite an increased understanding of single-species coevolutionary interactions, little is known about variation within interaction networks of functionally similar species (8,32). Here we investigated the coevolutionary dynamics between a focal host and individual bacteriophage isolates.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, Conrad et al (31) recently argued that a community perspective with its ecological and evolutionary underpinnings is needed to explore the usefulness of phages as antimicrobial agents to treat cystic fibrosis patients infected with several bacteria and notably strains of Pseudomonas aeruginosa, a congeneric to the model organism P. fluorescens. Different phages naturally have different host ranges (8,32,33), but whether phage taxonomic origin influences impacts on P. aeruginosa is not known. Despite the study of phage mixtures to control P. aeruginosa infections (34), the nature of bacterial cross-resistance to phages other than that with which the bacterium evolved has not been addressed.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Contrasted coevolutionary dynamics between a bacterial pathogen and its bacteriophages

Betts

Kaltz

Hochberg

2014

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Significance Scientists have long debated the dynamic form of perpetual reciprocal adaptations, or coevolution, between hosts and their parasites. The two main types of antagonistic coevolution described to date are arms race dynamics, in which interaction traits escalate through time, and fluctuating selection dynamics, in which traits cycle through time. We used experimental evolution between Pseudomonas aeruginosa and a panel of its lytic phages and found the full known range of coevolutionary dynamics. We argue that the coevolutionary pattern is determined by whether phages typically adsorb directly to receptors on the bacterial outer membrane or instead use retractable type IV pili as a primary or alternative site. Our results have applications in the use of phages as therapeutics or disinfectants to control bacterial pathogens.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Contrasted coevolutionary dynamics between a bacterial pathogen and its bacteriophages

Betts

Kaltz

Hochberg

2014

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In doing so, we highlight multiple priorities. First, it is essential to extend the current model to link increasingly strain-resolved information on microbial and viral diversity (Breitbart et al, 2002;Edwards and Rohwer, 2005;Allen et al, 2011) and interactions between viruses and their hosts (Flores et al, 2011;Deng et al, 2012;Weitz et al, 2013) the aggregated representation of virus-host interactions and nutrient feedbacks presented here (see the example of a calibrated model for dynamics including viruses of the algae Phaeocystis globosa; Ruardij et al, 2005). Strain-specific interactions also include the change in host physiology that occurs during infection, whether preceding lysis (Lindell et al, 2007;Ankrah et al, 2014) or during long-term associations with hosts, for example, lysogeny (McDaniel et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

A multitrophic model to quantify the effects of marine viruses on microbial food webs and ecosystem processes

et al. 2015

View full text Add to dashboard Cite

Viral lysis of microbial hosts releases organic matter that can then be assimilated by nontargeted microorganisms. Quantitative estimates of virus-mediated recycling of carbon in marine waters, first established in the late 1990s, were originally extrapolated from marine host and virus densities, host carbon content and inferred viral lysis rates. Yet, these estimates did not explicitly incorporate the cascade of complex feedbacks associated with virus-mediated lysis. To evaluate the role of viruses in shaping community structure and ecosystem functioning, we extend dynamic multitrophic ecosystem models to include a virus component, specifically parameterized for processes taking place in the ocean euphotic zone. Crucially, we are able to solve this model analytically, facilitating evaluation of model behavior under many alternative parameterizations. Analyses reveal that the addition of a virus component promotes the emergence of complex communities. In addition, biomass partitioning of the emergent multitrophic community is consistent with well-established empirical norms in the surface oceans. At steady state, ecosystem fluxes can be probed to characterize the effects that viruses have when compared with putative marine surface ecosystems without viruses. The model suggests that ecosystems with viruses will have (1) increased organic matter recycling, (2) reduced transfer to higher trophic levels and (3) increased net primary productivity. These model findings support hypotheses that viruses can have significant stimulatory effects across whole-ecosystem scales. We suggest that existing efforts to predict carbon and nutrient cycling without considering virus effects are likely to miss essential features of marine food webs that regulate global biogeochemical cycles.

show abstract

“…With H 0 susceptible to all viruses and H n−1 attacked only by one (V n−1 ), this structure combines viruses attacking a single host strain (V 0 ) with broad host-range viruses (e.g., V n ) and corresponds to what Flores et al (23) have termed "nested" infection. Because this pattern has been shown to occur in experimental (23) and natural (24) systems of prokaryotes and their viruses, arms race models such as the one discussed above may be seen as a possible hypothesis for how such observed patterns evolve in nature (21). Each step of this evolution contains what might be seen as a "remaining resource": When all strains are virus controlled, this remaining resource will be in the form of a free unused part of the limiting nutrient, creating a niche for an immune host mutant to invade.…”

Section: Strain Generation In An Idealized Arms Racementioning

confidence: 95%

“…The simplifying oneto-one relationship between hosts and viruses assumed in the original versions has also recently been replaced by a nested interaction matrix allowing for viruses with broader host ranges (20,21). Evolutionary aspects of the host-virus arms race have been analyzed in a chemostat setting (22).…”

mentioning

confidence: 99%

A theoretical analysis of how strain-specific viruses can control microbial species diversity

Thingstad

Våge

Storesund

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

138

147

View full text Add to dashboard Cite

Pelagic prokaryote communities are often dominated by the SAR11 clade. The recent discovery of viruses infecting this clade led to the suggestion that such dominance could not be explained by assuming SAR11 to be a defense specialist and that the explanation therefore should be sought in its competitive abilities. The issue is complicated by the fact that prokaryotes may develop strains differing in their balance between competition and viral defense, a situation not really captured by present idealized models that operate only with virus-controlled "host groups." We here develop a theoretical framework where abundance within species emerges as the sum over virus-controlled strains and show that high abundance then is likely to occur for species able to use defense mechanisms with a low trade-off between competition and defense, rather than by extreme investment in one strategy or the other. The J-shaped activity-abundance community distribution derived from this analysis explains the high proportion low-active prokaryotes as a consequence of extreme defense as an alternative to explanations based on dormancy or death due to nutrient starvation.

show abstract

Phage–bacteria infection networks

Cited by 274 publications

References 74 publications

Contrasted coevolutionary dynamics between a bacterial pathogen and its bacteriophages

Contrasted coevolutionary dynamics between a bacterial pathogen and its bacteriophages

A multitrophic model to quantify the effects of marine viruses on microbial food webs and ecosystem processes

A theoretical analysis of how strain-specific viruses can control microbial species diversity

Contact Info

Product

Resources

About