Adaptive evolution of immune gene families: origin, diversification and diversity of the NLR genes in zebrafish
Adaptive evolution of immune gene families: origin, diversification and diversity of the NLR genes in zebrafish
批准号:
274528215
负责人:
Professorin Dr. Maria Leptin, Ph.D.
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2019-12-31
中文摘要
宿主和病原体之间的共同进化军备竞赛是宿主免疫系统快速进化的主要驱动力。这一过程的一个关键方面是宿主免疫系统组件的高度多样性。在这个项目中,我们将重点研究这种快速多样化背后的机制,并研究所谓的NLR基因家族在斑马鱼自然种群Danio Rerio中的进化。该基因家族以及实验生物非常适合于分析宿主的生态适应种族。丹尼奥·雷里奥是遗传学和免疫学研究中公认的模式生物。最近发布的一种新的高质量基因组组件为进化基因组学提供了坚实的基础。这个项目中的目标基因构成了一个非常大的、最近扩大的斑马鱼家族,大约有400个成员。为了了解形成这个基因家族和编码蛋白质的进化和适应力量的本质,我们将收集不同生态条件(例如,原始水域和受污染的水域)的不同野生种群的大规模基因组序列数据,并利用公开可用的以及定制的和自己开发的种群遗传方法来分析这些数据。该项目将剖析最近适应事件的动态,以及在暴露于不同环境的种群中形成该基因家族多样性的机制。特别是,我们将瞄准Danio Rerio 4号染色体上的密集NLR-簇。对于这些基因及其上游调控区,我们将确定突变频谱,测量基因和编码蛋白的进化速度和选择性限制。我们希望确定一组进化热点,这些热点受到环境触发适应的影响。这些将是未来(宿主的)转录组和(环境的)元基因组学后续功能研究的主要候选者。
英文摘要
The co-evolutionary arms race between hosts and their pathogens is the major driver of the rapid evolutionary dynamics of the host immune repertoire. A key aspect in this process is the high diversity of the components of the host's immune system. In this project we will focus on the mechanisms behind this fast diversification, and study the evolution of the so-called NLR gene family in natural populations of zebrafish, Danio rerio.This gene family, as well as the experimental organism, are well suited for the analysis of the host's race for ecological adaptation. Danio rerio is an established model organism in genetic and immunological research. The recent release of a new high-quality genome assembly provides a robust basis for evolutionary genomics. The genes targeted in this project constitute an extremely large, very recently expanded, family of about 400 members in zebrafish.To understand the nature of the evolutionary and adaptive forces which have shaped this gene family and the encoded proteins we will collect large scale genomic sequence data from different wild populations with different ecological conditions (e.g., pristine vs. polluted waters) and analyse these data with publicly available as well as with customized and own-developed population genetic methods.The project will dissect the dynamics of recent adaptation events, and the mechanisms that have shaped the diversification of this gene family in populations exposed to different environments.In particular, we will target the dense NLR-cluster on chromosome 4 of Danio rerio. For these genes and their upstream regulatory regions we will determine mutation frequency spectra, measure evolutionary rates and selective constraints across genes and encoded proteins.We expect to identify a set of evolutionary hotspots, which have been subject to environmentally triggered adaptation. These will be prime candidates for future functional studies in follow-up transcriptomics (of the host) and meta-genomics (of the environment) experiments.
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