| Literature DB >> 30189587 |
Elena L Horas1,2, Loukas Theodosiou3,4, Lutz Becks5,6.
Abstract
Algal viruses are considered to be key players in structuring microbial communities and biogeochemical cycles due to their abundance and diversity within aquatic systems. Their high reproduction rates and short generation times make them extremely successful, often with immediate and strong effects for their hosts and thus in biological and abiotic environments. There are, however, conditions that decrease their reproduction rates and make them unsuccessful with no or little immediate effects. Here, we review the factors that lower viral success and divide them into intrinsic-when they are related to the life cycle traits of the virus-and extrinsic factors-when they are external to the virus and related to their environment. Identifying whether and how algal viruses adapt to disadvantageous conditions will allow us to better understand their role in aquatic systems. We propose important research directions such as experimental evolution or the resurrection of extinct viruses to disentangle the conditions that make them unsuccessful and the effects these have on their surroundings.Entities:
Keywords: algal viruses; burst size; effects; host resistance; intrinsic and extrinsic factors; latent period; stressors; sunlight; temperature; viral life cycle traits
Mesh:
Year: 2018 PMID: 30189587 PMCID: PMC6165140 DOI: 10.3390/v10090474
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Intrinsic and extrinsic factors that can make viruses unsuccessful during their life cycle stages. Host specificity refers to the attachment and insertion of genetic material (DNA or RNA) into the hosts, latent period refers to the duration of the viral infection within the host during which virus particles are produced, burst size refers to the number of viral progeny released and particle state refers to the state where viruses are not within a host. Extrinsic factors are divided into host resistance mechanisms, abiotic and biotic stressors, and they can affect viruses during any of their life stages.
Figure 2Population dynamics of the algae Chlorella variabilis (A,B) and its virus PBCV-1 (C,D) when exposed to temperatures of 15 °C (blue circles and triangles), 21 °C (orange circles and triangles) and 28 °C (red circles and triangles). We followed the growth of the algal host Chlorella variabilis (strain NC64A) over 21 days at the three temperatures (n = 6; modified BBM medium, constant light and shaking as in [87]) and calculated maximum growth rates and maximum population sizes from these data (A,B). Growth rates were the lowest at 21 °C and population sizes significantly highest (ANOVA: F2,15 = 18,7, p = 8.5 × 10−5; posthoc: 15–21 °C: p = 0.0003, 15–28 °C: p = 0.0002). Virus burst sizes and the length of the latent period (C,D) were estimated from experiments in which we followed the number of free virus particles post infection (~every hour, for 23 h) at the three temperatures (n = 6, initial MOI = 10, modified BBM medium, constant light, and shaking). The number of viral particles were counted using flow cytometry (as in [87]). Virus burst size was significantly smallest (ANOVA: F2,15 = 13.516, p = 0.0004; posthoc test: 15–21 °C: p = 0.0004, 15–28 °C: p = 0.014, 21–28 °C: p = 0.004) and latent time significantly longest (ANOVA: F2,15 = 217.5, p < 2.2 × 10−16; posthoc test: 15–21 °C: p = 0, 15–28°C: p = 0, 21–28 °C: p = 0.004) at 15 °C. Shown are means and ± standard errors.
Overview of approaches to study viral adaptations to conditions that make them unsuccessful. We refer to viruses as unsuccessful when (i) there are low numbers of viruses in the environment; (ii) they have low or no viral infectivity and/or (iii) they have low or no viral replication ability and subsequent low or no release of viral particles into the environment. All approaches can be carried out at temporal and spatial scales.
| Approach | Method | Examples * |
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| Sampling of communities over time and correlation with changes in extrinsic factors | [ | |
| Resurrection ecology, correlation of abundances with changes in the environment | [ | |
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| Measurement of virus life cycle traits under different conditions | [ | |
| Resurrection ecology, isolation of living viruses and measurement of life cycle traits under different conditions | ||
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| Virus evolution to different conditions (requires constant host) | ||
| Host-virus coevolution under different conditions | [ | |
| Virus (co)evolution in communities under different conditions | [ | |
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| Virus population events across different conditions | [ | |
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| Viromics to check for absence/presence of viruses across different conditions | [ | |
| Genomics and phylogenetic trees to decipher evolution and past population events (bottlenecks, extinctions, migrations, etc.) | [ |
* Examples of algal viruses are provided but approaches can be applied to all other viruses. No examples given indicates that we are not aware of studies using those approaches.