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Viral biogeography revealed by signatures in Sulfolobus islandicus genomes

机译:海岛绿菌基因组特征揭示的病毒生物地理学

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摘要

Viruses are a driving force of microbial evolution. Despite their importance, the evolutionary dynamics that shape diversity in viral populations are not well understood. One of the primary factors that define viral population structure is coevolution with microbial hosts. Experimental models predict that the trajectory of coevolution will be determined by the relative migration rates of viruses and their hosts; however, there are no natural microbial systems in which both have been examined. The biogeographic distribution of viruses that infect Sulfolobus islandicus is investigated using genome comparisons among four newly identified, integrated, Sulfolobus spindle-shaped viruses and previously sequenced viral strains. Core gene sequences show a biogeographic distribution where viral genomes are specifically associated with each local population. In addition, signatures of host-virus interactions recorded in the sequence-specific CRISPR (clustered regularly interspaced short palindromic repeats) system show that hosts have interacted with viral communities that are more closely related to local viral strains than to foreign ones. Together, both proviral and CRISPR sequences show a clear biogeographic structure for Sulfolobus viral populations. Our findings demonstrate that virus-microbe coevolution must be examined in a spatially explicit framework. The combination of host and virus biogeography suggests a model for viral diversification driven by host immunity and local adaptation.
机译:病毒是微生物进化的驱动力。尽管它们具有重要意义,但对形成病毒种群多样性的进化动力学知之甚少。定义病毒种群结构的主要因素之一是与微生物宿主的共同进化。实验模型预测,协同进化的轨迹将取决于病毒及其宿主的相对迁移率。但是,没有天然微生物系统已被检查过。使用四种新近鉴定的,整合的,Sulfolobus纺锤形病毒和先前测序的病毒株之间的基因组比较,研究了感染了Sulfolobus islandicus的病毒的生物地理分布。核心基因序列显示出生物地理分布,其中病毒基因组与每个本地人群特异性相关。此外,在序列特异性CRISPR(聚簇的规则间隔的短回文重复序列)系统中记录的宿主-病毒相互作用的特征表明,宿主与病毒群落的相互作用更为密切,而该病毒群落与本地病毒株的关系比与外源病毒株的关系更为密切。总之,前病毒和CRISPR序列均显示出针对Sulfolobus病毒种群的清晰的生物地理结构。我们的发现表明,必须在空间明确的框架内检查病毒与微生物的协同进化。宿主和病毒生物地理学的结合提出了一种由宿主免疫力和局部适应性驱动的病毒多样化模型。

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