TY - JOUR
T1 - Evolutionary comparison between viral lysis rate and latent period
AU - Bonachela, Juan A.
AU - Levin, Simon Asher
N1 - Funding Information:
We want to thank Anne Maria Eikeset, Yoh Iwasa, Roger Kouyos, Duncan Menge, Alex Washburne, and Joshua Weitz for helpful discussions in early stages of this research. We thank the editor and the two anonymous reviewers for their feedback, which has improved enormously this paper. We are also grateful for the support from NSF under grant OCE-1046001 and by the Cooperative Institute for Climate Science (CICS) of Princeton University and the National Oceanographic and Atmospheric Administration's (NOAA) Geophysical Fluid Dynamics Laboratory (GFDL) .
PY - 2014/3/21
Y1 - 2014/3/21
N2 - Marine viruses shape the structure of the microbial community. They are, thus, a key determinant of the most important biogeochemical cycles in the planet. Therefore, a correct description of the ecological and evolutionary behavior of these viruses is essential to make reliable predictions about their role in marine ecosystems. The infection cycle, for example, is indistinctly modeled in two very different ways. In one representation, the process is described including explicitly a fixed delay between infection and offspring release. In the other, the offspring are released at exponentially distributed times according to a fixed release rate. By considering obvious quantitative differences pointed out in the past, the latter description is widely used as a simplification of the former. However, it is still unclear how the dichotomy "delay versus rate description" affects long-term predictions of host-virus interaction models. Here, we study the ecological and evolutionary implications of using one or the other approaches, applied to marine microbes. To this end, we use mathematical and eco-evolutionary computational analysis. We show that the rate model exhibits improved competitive abilities from both ecological and evolutionary perspectives in steady environments. However, rate-based descriptions can fail to describe properly long-term microbe-virus interactions. Moreover, additional information about trade-offs between life-history traits is needed in order to choose the most reliable representation for oceanic bacteriophage dynamics. This result affects deeply most of the marine ecosystem models that include viruses, especially when used to answer evolutionary questions.
AB - Marine viruses shape the structure of the microbial community. They are, thus, a key determinant of the most important biogeochemical cycles in the planet. Therefore, a correct description of the ecological and evolutionary behavior of these viruses is essential to make reliable predictions about their role in marine ecosystems. The infection cycle, for example, is indistinctly modeled in two very different ways. In one representation, the process is described including explicitly a fixed delay between infection and offspring release. In the other, the offspring are released at exponentially distributed times according to a fixed release rate. By considering obvious quantitative differences pointed out in the past, the latter description is widely used as a simplification of the former. However, it is still unclear how the dichotomy "delay versus rate description" affects long-term predictions of host-virus interaction models. Here, we study the ecological and evolutionary implications of using one or the other approaches, applied to marine microbes. To this end, we use mathematical and eco-evolutionary computational analysis. We show that the rate model exhibits improved competitive abilities from both ecological and evolutionary perspectives in steady environments. However, rate-based descriptions can fail to describe properly long-term microbe-virus interactions. Moreover, additional information about trade-offs between life-history traits is needed in order to choose the most reliable representation for oceanic bacteriophage dynamics. This result affects deeply most of the marine ecosystem models that include viruses, especially when used to answer evolutionary questions.
KW - Bacteriophage
KW - Burst size
KW - Eco-evolutionary dynamics
KW - Evolutionarily stable strategy
KW - Phytoplankton
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U2 - 10.1016/j.jtbi.2013.12.006
DO - 10.1016/j.jtbi.2013.12.006
M3 - Article
C2 - 24361326
AN - SCOPUS:84891651903
SN - 0022-5193
VL - 345
SP - 32
EP - 42
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -