Deep sequencing of amplified Prasinovirus and host green algal genes from an Indian Ocean transect reveals interacting trophic dependencies and new genotypes

Deep sequencing of amplified Prasinovirus and host green algal genes from an Indian Ocean transect reveals interacting trophic dependencies and new genotypes
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DOI:
10.1111/1758-2229.12345
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发表时间:
2015-12-01
影响因子:
3.3
通讯作者:
Grimsley, Nigel
Grimsley, Nigel
中科院分区:
生物学3区
文献类型:
--
作者:
Clerissi, Camille;Desdevises, Yves;Grimsley, Nigel

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高通量测序Prasinovirus DNA聚合酶和宿主绿色藻类(Mamiellophyceae)核糖体RNA基因被用来分析这些类群的多样性和分布在一个类似的10 000公里的印度洋纬度部分。在观察到的不同营养条件中确定了新的病毒和宿主组,并强调虽然未知的prasinoviruses是多样的,但世界性的藻类属Bathycoccus,Micromonas和Ostreococcus代表了很大比例的宿主多样性。虽然Prasinovirus群落与地理和环境相关,但宿主群落却不相关,这可能是因为使用的遗传标记缺乏足够的分辨率。然而,对单一环境变量的分析表明,富营养化条件强烈影响宿主和病毒的分布。此外,这些社区在其组成或具体丰富度方面并不相关。这些观察结果可能是由于拮抗动力学,如在一个捕食模型中所示,和/或因为主机可能是在一个复杂的选择压力。这两个原因都必须考虑到解释病毒和宿主的环境调查,因为协变并不总是意味着相互作用。
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 similar to 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.