Genomic signatures of neutral and adaptive microevolutionary processes in Fragilariopsis kerguelensis, a main silicate sinker of the Southern Ocean

南大洋主要硅酸盐沉降物 Fragilariopsis kerguelensis 中性和适应性微进化过程的基因组特征

基本信息

项目摘要

The original aim of the project was to test the hypothesis that the latitudinal environmental gradients of the Southern Ocean might have led to the development of population genomic and adaptive clines in a phytoplankton species, the diatom Fragilariopsis kerguelensis. To address this hypothesis, we chose a combined genomic and phenotypic approach. The results we obtained during the first half of the project run time give a strong indication that the target taxon of our project consists of at least three, so far overlooked (semi-)cryptic species. This brings unforeseen challenges but also novel possibilities into the work. We can now address adaptive differentiation processes both in a case when they were accompanied by the emergence of species boundaries, as well as without the latter, in the presence of gene exchange between populations. The extension of the project will enable us to address the topic of local adaptation at both levels, and to re-focus on the originally envisaged topic of intraspecific adaptation.
该项目的最初目的是检验一种假设,即南大洋的纬度环境梯度可能导致浮游植物物种(硅藻Fragilariopsis kerguelensis)的种群基因组和适应性渐变群的发展。为了解决这一假设,我们选择了一个组合的基因组和表型的方法。我们在项目运行时间的前半部分获得的结果给出了一个强有力的迹象,我们的项目的目标分类群包括至少三个,到目前为止被忽视的(半)神秘物种。这给工作带来了不可预见的挑战,但也带来了新的可能性。我们现在可以解决适应性分化过程的情况下,当它们伴随着物种边界的出现,以及没有后者,在种群之间的基因交换的存在。该项目的延长将使我们能够在两个层面上处理当地适应问题,并重新关注最初设想的种内适应问题。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Biogeographic differentiation between two morphotypes of the Southern Ocean diatom Fragilariopsis kerguelensis
  • DOI:
    10.1007/s00300-019-02525-0
  • 发表时间:
    2019-07-01
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Glemser, Barbara;Kloster, Michael;Beszteri, Bank
  • 通讯作者:
    Beszteri, Bank
Adaptive divergence across Southern Ocean gradients in the pelagic diatom Fragilariopsis kerguelensis
  • DOI:
    10.1111/mec.15554
  • 发表时间:
    2020-07
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    U. Postel;Barbara Glemser;Katherine Salazar Alekseyeva;S. L. Eggers;Marco Groth;G. Glöckner;U. John;T. Mock;K. Klemm;K. Valentin;B. Beszteri
  • 通讯作者:
    U. Postel;Barbara Glemser;Katherine Salazar Alekseyeva;S. L. Eggers;Marco Groth;G. Glöckner;U. John;T. Mock;K. Klemm;K. Valentin;B. Beszteri
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Professor Dr. Bánk Beszteri其他文献

Professor Dr. Bánk Beszteri的其他文献

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{{ truncateString('Professor Dr. Bánk Beszteri', 18)}}的其他基金

Deep mobilization of natural history collections of microscopic organisms using high throughput image analyses and interlinking with molecular data (MobiDiC - MOBIlization of a DIatom Collection)
使用高通量图像分析和与分子数据的互连对微生物自然历史收藏品进行深度动员(MobiDiC - 硅原子收藏品的动员)
  • 批准号:
    350992967
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Assessing species distributions and morphometrics in Southern Ocean diatoms using high throughput imaging and semi-automated image analysis
使用高通量成像和半自动图像分析评估南大洋硅藻的物种分布和形态测量
  • 批准号:
    257060905
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Infrastructure Priority Programmes
Integrating biodiversity and oceanographic information for modeling and predicting Southern Ocean diatom biogeography
整合生物多样性和海洋学信息以建模和预测南大洋硅藻生物地理学
  • 批准号:
    197778705
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Infrastructure Priority Programmes
Teilnahme an einem Sommerkurs "Computational phyloinformatics", am National Evolutionary Synthesis Center, Durham, USA 24. Juli bis 04. August 2008
2008年7月24日至8月4日在美国达勒姆国家进化综合中心参加暑期课程“计算系统信息学”
  • 批准号:
    100328670
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Digital diatom analysis: investigating advanced deep learning-based approaches for gigapixel-sized virtual slides
数字硅藻分析:研究基于深度学习的先进方法,用于十亿像素大小的虚拟幻灯片
  • 批准号:
    463395318
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
DNAquaIMG: Innovating transnational aquatic biodiversity monitoring using high-throughput DNA tools and automated image recognition
DNAquaIMG:利用高通量 DNA 工具和自动图像识别创新跨国水生生物多样性监测
  • 批准号:
    532140722
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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