Mesh : Wetlands Biodiversity Viruses / genetics classification isolation & purification Metagenome Seasons Microbiota Genome, Viral Metagenomics / methods Virome / genetics Phylogeny

来  源:   DOI:10.1038/s41522-024-00522-8   PDF(Pubmed)

Abstract:
As the central members of the microbiome networks, viruses regulate the composition of microbial communities and drive the nutrient cycles of ecosystems by lysing host cells. Therefore, uncovering the dynamic patterns and the underlying ecological mechanisms mediating the tiniest viral communities across space and through time in natural ecosystems is of crucial importance for better understanding the complex microbial world. Here, the temporal dynamics of intertidal viral communities were investigated via a time-series sampling effort. A total of 1911 viral operational taxonomic units were recovered from 36 bimonthly collected shotgun metagenomes. Functionally important auxiliary metabolic genes involved in carbohydrate, sulfur, and phosphorus metabolism were detected, some of which (e.g., cysH gene) were stably present within viral genomes over time. Over the sampling period, strong and comparable temporal turnovers were observed for intertidal viromes and their host microbes. Winter was determined as the pivotal point for the shifts in viral diversity patterns. Notably, the viral micro-diversity covaried with the macro-diversity, following similar temporal patterns. The relative abundances of viral taxa also covaried with their host prokaryotes. Meanwhile, the virus-host relationships at the whole community level were relatively stable. Further statistical analyses demonstrated that the dynamic patterns of viral communities were highly deterministic, for which temperature was the major driver. This study provided valuable mechanistic insights into the temporal turnover of viral communities in complex ecosystems such as intertidal wetlands.
摘要:
作为微生物组网络的核心成员,病毒调节微生物群落的组成,并通过裂解宿主细胞来驱动生态系统的营养循环。因此,揭示在自然生态系统中跨空间和时间介导最微小的病毒群落的动态模式和潜在的生态机制对于更好地理解复杂的微生物世界至关重要。这里,通过时间序列抽样研究了潮间带病毒群落的时间动态.从36个双月收集的shot弹枪宏基因组中回收了总共1911个病毒操作分类单位。功能上重要的辅助代谢基因参与碳水化合物,硫磺,和磷代谢检测,其中一些(例如,cysH基因)随时间稳定存在于病毒基因组中。在采样期间,对于潮间带病毒及其宿主微生物,观察到了强烈且可比的时间周转。冬季被确定为病毒多样性模式变化的关键点。值得注意的是,病毒微观多样性与宏观多样性共存,遵循类似的时间模式。病毒类群的相对丰度也与其宿主原核生物共变。同时,整个社区层面的病毒-宿主关系相对稳定。进一步的统计分析表明,病毒群落的动态模式是高度确定性的,温度是主要的驱动因素。这项研究为潮间带湿地等复杂生态系统中病毒群落的时间周转提供了有价值的机械见解。
公众号