Detecting the genomic and transcriptomic imprints of environmental change in a marine fish species through space and time

通过空间和时间检测海洋鱼类环境变化的基因组和转录组印记

• 批准号: 497783367
• 负责人: Professor Dr. Henrik Krehenwinkel
• 金额: --
• 依托单位: Leibniz-Institut zur Analyse des Biodiversitätswandels (LIB)
• 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/497783367?language=en
• 关键词: Detecting; genomic; transcriptomic; imprints; environmental

Global ecosystems have been exposed to unprecedented environmental change in the past decades, with dire consequences for biological communities. While many species are assumed to decline, some seemingly tolerate environmental change, possibly by rapid evolutionary adaptation. However, the overall relevance and genetic mechanisms of such evolutionary change are not well understood. Here we propose to use a unique 30-year time series population dataset of the eelpout Zoarces viviparus, a fish species from the Baltic and Northern Seas, to explore phenotypic, transcriptomic and genomic responses of populations exposed to environmental change through space and time. The samples were collected according to a highly standardized protocol and stored at ultra-low temperatures as part of a Germany-wide biomonitoring program. The resulting excellent preservation allows us to analyze temporal genomic and transcriptomic changes of populations in parallel. We will first analyze population genomes from across the fish’s range to identify its genetic structure and signatures of adaptation to natural environmental gradients, namely, salinity and temperature. Based on this background and using population genomic time series, we will then test the hypothesis that the fish have adapted to changing environmental conditions in the past 3 decades. We will complement our population genomic analyses with detailed phenotypic assessments and investigations of changing gene expression patterns along the population time series and in an aquarium experiment. Our work promises unprecedented real-time insights into phenotypic, transcriptomic and genomic responses of populations to global change, and will be of great relevance to inform future conservation of marine biodiversity.

在过去几十年中，全球生态系统遭受了前所未有的环境变化，给生物群落带来了可怕的后果。虽然许多物种被认为会减少，但有些物种似乎可以忍受环境的变化，可能是通过快速的进化适应。然而，这种进化变化的整体相关性和遗传机制还没有得到很好的理解。在这里，我们建议使用一个独特的30年的时间序列的人口数据集的鳗鱼Zoarces viviparus，一种鱼类从波罗的海和北方海，探索表型，转录组和基因组的人口暴露于环境变化，通过空间和时间的反应。这些样本是根据高度标准化的协议收集的，并储存在超低温下，作为德国范围内生物监测计划的一部分。由此产生的优秀的保护，使我们能够分析并行的人口的时间基因组和转录组的变化。我们将首先分析整个鱼类范围内的种群基因组，以确定其遗传结构和适应自然环境梯度（即盐度和温度）的特征。基于这一背景，并使用人口基因组时间序列，我们将测试的假设，即鱼已经适应了不断变化的环境条件在过去的30年。我们将补充我们的人口基因组分析与详细的表型评估和调查改变基因表达模式沿着人口的时间序列和水族馆实验。我们的工作承诺前所未有的实时洞察人口对全球变化的表型，转录组和基因组反应，并将为未来的海洋生物多样性保护提供信息。