Marine viral dynamics and incorporation into microbial association networks

海洋病毒动力学和纳入微生物关联网络

• 批准号: 1031743
• 负责人: Jed Fuhrman
• 金额: $ 56.6万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1031743&HistoricalAwards=false
• 关键词: Marine; viral; dynamics; incorporation; into

Marine microbes are tremendously abundant and are major players and driving forces in global biogeochemical cycles of carbon, nitrogen, phosphorus, and iron. We learned over the past two decades that viruses are pervasive elements in marine systems, with significant ecological, biogeochemical, genetic, and evolutionary effects on cellular marine organisms, but we have remarkably little information about the dynamics of marine viral community structure and how it relates to the community structure of their hosts (largely bacteria and phytoplankton). Such information is critical for developing proper conceptual and practical models of the roles of viruses and how these change over time and space. The goals of this project are (1) primarily, to characterize a significant subset of the natural virus community and its dynamics, along with bacterial host communities, as they change over daily to monthly time scales at the USC well-studied marine Microbial Observatory site (midway between Los Angeles and Santa Catalina Island), testing hypotheses regarding repeating patterns, host range effects, and taxa-time relationships, and (2) secondarily, to incorporate these viruses into microbial association networks by statistically connecting particular types of viruses to specific potential hosts. Approaches for this study include: (a) nested daily, weekly, and monthly collection of bacteria and viruses for nucleic acid samples, (b) amplification of conserved genes, as proxy phylogenetic markers, from a few moderately-well-characterized broad viral groups previously readily found in seawater (i.e. the T4-like myoviruses, T7-like podoviruses), as well as bacterial rRNA genes (c) extensive sequencing, after screening by community fingerprinting, from the mixed amplified products, (d) binning of the sequences or fingerprint fragments into operational taxonomic units (OTUs) at different levels of resolution, (e) evaluation of the results with statistical approaches to examine temporal patterns, relationships (including time-lagged ones) with other viral OTUs, bacteria, protists (monthly only), and environmental parameters, (f) incorporating the viral OTUs mathematically into microbial association networks. Data on environmental parameters, bacteria, and protists are already being collected monthly for an existing Microbial Observatory, so the viral work is complementary to this project, providing a major value-added component. Similarly, this project will add selected daily and weekly microbial data to the Microbial Observatory. Data from the literature and from the PI's preliminary results show they have the technology and capability to meet the first goal, and to our knowledge this would be the first such data set of its scope and kind. The investigators have already published in 2006 that the bacterial communities at the 5m depth of this site show a predictable repeating annual cycle in bacterial community composition, so the expectation of a predictable repeating viral community is not unreasonable. They also have some preliminary data showing some repeated viral occurrences. The second goal requires that there are indeed significant statistical relationships between the viruses and other measured parameters, which the PI anticipates to be the case, but of course cannot predict; if they cannot be demonstrated, this result itself would be informative and would constrain the possible modes of microbial/viral interactions.BROADER IMPACTS: The project will have a significant training component, with a graduate student doing a considerable amount of the work (field, lab, bioinformatic, and writing components) as part of her dissertation research. The investigators also will link the project to a local secondary school science teacher training program, incorporating results into a training module, and also to community outreach at our marine lab, often visited by secondary school students. Outreach to the broader global community will include a project website with protocols, nontechnical and technical descriptions of the work, results, and conclusions.

海洋微生物极其丰富，是全球碳、氮、磷和铁的地球化学循环的主要参与者和驱动力。在过去的二十年里，我们了解到病毒是海洋系统中普遍存在的元素，对细胞海洋生物具有重要的生态，生物地球化学，遗传和进化影响，但我们对海洋病毒群落结构的动态以及它如何与宿主（主要是细菌和浮游植物）的群落结构相关的信息非常少。这些信息对于开发病毒作用的适当概念和实践模型以及这些模型如何随时间和空间而变化至关重要。该项目的目标是（1）主要是表征自然病毒群落的重要子集及其动态，沿着细菌宿主群落，因为它们在USC研究良好的海洋微生物观测站每天到每月的时间尺度上变化（洛杉矶和圣卡塔利纳岛之间），测试假设有关重复模式，主机范围的影响，和类群时间的关系，其次，通过统计学方法将特定类型的病毒与特定的潜在宿主联系起来，将这些病毒纳入微生物关联网络。这项研究的方法包括：（a）每天、每周和每月巢式收集细菌和病毒的核酸样本，（B）从以前容易在海水中发现的几个中度良好表征的广泛病毒群中扩增保守基因，作为替代系统发育标记（即T4样肌病毒、T7样足病毒）以及细菌rRNA基因（c）在通过群落指纹分析筛选后，从混合扩增产物中进行广泛测序，（d）将序列或指纹片段以不同分辨率水平分箱为操作分类单位（OTU），（包括时滞的）与其他病毒OTU、细菌、原生生物（f）将病毒OTU数学地并入微生物关联网络中。现有的微生物观测站每月都在收集环境参数、细菌和原生生物的数据，因此病毒工作是对该项目的补充，提供了一个重要的增值组成部分。同样，该项目将向微生物观测站添加选定的每日和每周微生物数据。来自文献和PI初步结果的数据表明，他们有技术和能力实现第一个目标，据我们所知，这将是其范围和种类的第一个此类数据集。研究人员在2006年已经发表了该站点5 m深度的细菌群落显示细菌群落组成的可预测重复年周期，因此预期可预测重复病毒群落并非不合理。他们也有一些初步的数据显示一些重复的病毒发生。第二个目标要求病毒和其他测量参数之间确实存在显著的统计学关系，PI预期会出现这种情况，但当然无法预测;如果无法证明，则该结果本身将提供信息，并将限制微生物/病毒相互作用的可能模式。该项目将有一个重要的培训部分，研究生做了大量的工作（现场，实验室，生物信息学和写作组件）作为她的论文研究的一部分。研究人员还将把该项目与当地的中学科学教师培训计划联系起来，将结果纳入培训模块，并与我们的海洋实验室的社区外展联系起来，这些实验室经常有中学生参观。与更广泛的全球社区的联系将包括一个项目网站，其中载有协议、工作的非技术和技术说明、结果和结论。