Functional ecology of interactome-predicted key ciliates in deep temperate lakes

深温带湖泊相互作用组预测关键纤毛虫的功能生态学

• 批准号: 273766911
• 负责人: Professor Dr. Thorsten Stoeck
• 金额: --
• 依托单位: Fachgebiet Ökologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/273766911?language=en
• 关键词: Functional; ecology; interactome; predicted; key

Revealing the extraordinarily complex relationships among the involved key players in aquatic food webs is a central topic in freshwater ecology. Such key players are species with important functions in the plankton community and which, when lost because of e.g. climate stressors, could cause the collapse of the interactome networks. Aquatic food webs consist of microscopic organisms, including bacteria and protists, and small metazoans that co-occur in seasonal cycles. The analyses of environmental DNA metabarcodes, obtained from plankton samples, and subsequent integration of these massive sequence datasets into interactome network analyses emerged as a very powerful tool to uncovered the entirety of interactions, biotic and abiotic, in these complex aquatic food webs. Among others, statistical analyses of network properties allow for the detection of key species. In such DNA-based networks obtained from two deep alpine lakes in previous project, especially ciliates emerged as a most important taxon group. Unfortunately, due to the incompleteness of nucleotide databases, the sequences of numerous ciliates which are key species in interactome networks cannot be taxonomically assigned beyond phylum level. This failure hampers further research and the exploitation of network results. For example, no cultures can be established to conduct autecological experiments to reveal the functional traits, lifestyle and ecological importance as proposed by the interactome structures. Also, in situ observations of the morphospecies in their natural environments to infer ecological information is not possible. Therefore, the goal of the proposed extension project is to investigate the functional role of previously unidentified key ciliates hiding in the plankton interactome of two deep temperate lakes (Lake Mondsee and Lake Zurich) using state-of-the-art molecular and microscopy techniques, cultivation techniques, lab-based experiments (microcosms) and also field observations. The expected results will help to better predict changes in lake ecosystem function, as well as the resilience and response of these lakes under stress (climatic and other stressors).

揭示水生食物网中涉及的关键角色之间异常复杂的关系是淡水生态学的一个中心课题。这样的关键角色是在浮游生物群落中具有重要功能的物种，当它们因气候压力等原因而丧失时，可能会导致相互作用组网络的崩溃。水生食物网由微生物组成，包括细菌和原生动物，以及按季节循环共存的小型后生动物。从浮游生物样本中获得的环境DNA元代码的分析，以及随后将这些海量序列数据集整合到相互作用组网络分析中，成为揭示这些复杂的水生食物网中生物和非生物相互作用的一个非常强大的工具。除其他外，对网络属性的统计分析允许检测关键物种。在先前项目中从两个深水高山湖泊获得的这种基于DNA的网络中，特别是纤毛虫成为最重要的分类类群。遗憾的是，由于核苷酸数据库的不完备性，作为相互作用组网络中关键物种的众多纤毛虫的序列不能超越门的水平进行分类分配。这一故障阻碍了进一步的研究和网络成果的开发。例如，不能建立任何文化来进行自生学实验，以揭示相互作用组结构所提出的功能特征、生活方式和生态重要性。此外，在其自然环境中对形态物种进行原位观察以推断生态信息也是不可能的。因此，拟议的扩展项目的目标是利用最先进的分子和显微镜技术、栽培技术、实验室实验(微观世界)和野外观察，研究隐藏在两个深温带湖泊(蒙得西湖和苏黎世湖)浮游生物相互作用体中的以前未确定的关键纤毛虫的功能作用。预期结果将有助于更好地预测湖泊生态系统功能的变化，以及这些湖泊在压力(气候和其他压力因素)下的弹性和响应。