1. Deep sequencing of amplifiedPrasinovirusand host green algal genes from an Indian Ocean transect reveals interacting trophic dependencies and new genotypes
- Author
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Sarah Romac, Stéphane Audic, Julie Poulain, Camille Clerissi, Patrick Wincker, Raffaella Casotti, Colomban de Vargas, Hiroyuki Ogata, Nigel Grimsley, Yves Desdevises, Silvia G. Acinas, and Pascal Hingamp
- Subjects
0303 health sciences ,food.ingredient ,biology ,030306 microbiology ,Ecology ,Host (biology) ,biology.organism_classification ,Prasinovirus ,Agricultural and Biological Sciences (miscellaneous) ,Deep sequencing ,Bathycoccus ,Ostreococcus ,03 medical and health sciences ,food ,14. Life underwater ,Species richness ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Trophic level ,Micromonas - Abstract
High-throughput sequencing of Prasinovirus DNA polymerase and host green algal (Mamiellophyceae) ribosomal RNA genes was used to analyse the diversity and distribution of these taxa over a ∼10 000 km latitudinal section of the Indian Ocean. New viral and host groups were identified among the different trophic conditions observed, and highlighted that although unknown prasinoviruses are diverse, the cosmopolitan algal genera Bathycoccus, Micromonas and Ostreococcus represent a large proportion of the host diversity. While Prasinovirus communities were correlated to both the geography and the environment, host communities were not, perhaps because the genetic marker used lacked sufficient resolution. Nevertheless, analysis of single environmental variables showed that eutrophic conditions strongly influence the distributions of both hosts and viruses. Moreover, these communities were not correlated, in their composition or specific richness. These observations could result from antagonistic dynamics, such as that illustrated in a prey–predator model, and/or because hosts might be under a complex set of selective pressures. Both of these reasons must be considered to interpret environmental surveys of viruses and hosts, because covariation does not always imply interaction.
- Published
- 2015
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