2021
DOI: 10.1016/j.isci.2020.102002
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Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean

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Cited by 50 publications
(43 citation statements)
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“…The effect that viruses have on their hosts’ ecological roles depends on their mode of infection. Lytic predator–prey interactions can control bacterial population densities and regulate the rate of biomass and organic matter transformations [ 26 , 27 ]. In temperate interactions such as lysogeny, the phage integrates into the host’s genome as a prophage or replicates as an extrachromosomal element [ 28 , 29 ].…”
Section: Introductionmentioning
confidence: 99%
“…The effect that viruses have on their hosts’ ecological roles depends on their mode of infection. Lytic predator–prey interactions can control bacterial population densities and regulate the rate of biomass and organic matter transformations [ 26 , 27 ]. In temperate interactions such as lysogeny, the phage integrates into the host’s genome as a prophage or replicates as an extrachromosomal element [ 28 , 29 ].…”
Section: Introductionmentioning
confidence: 99%
“…Some early studies were prescient in suggesting that these viruses are a diverse and underappreciated component of viral diversity in the ocean ( 27 30 ). More recent work has confirmed this view and revealed that a diverse range of Nucleocytoviricota inhabit the global ocean and likely contribute to key processes such as algal bloom termination and carbon export ( 12 , 31 36 ). Some metatranscriptomic studies have also begun to note the presence of Nucleocytoviricota transcripts in marine samples, confirming their activity ( 37 39 ).…”
Section: Introductionmentioning
confidence: 82%
“…Phylogeny-guided filtering of host predictions and its assessment. We developed Taxon Interaction Mapper (TIM) to improve host predictions by co-occurrence approaches (35). TIM assumes that evolutionarily related viruses tend to infect evolutionarily related hosts (18,74) and extract the most likely virus-host associations from the co-occurrence networks.…”
Section: Methodsmentioning
confidence: 99%