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The ecology of evolution: the role of environmental heterogeneity in evolutionary dynamics.

The ecology of evolution: the role of environmental heterogeneity in evolutionary dynamics.
进化生态学:环境异质性在进化动力学中的作用。
批准号:
NE/G004390/2
负责人:
Tim Coulson
金额:
$3.58万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
Although we have a good general understanding of how evolution operates, we have only limited insight into its detailed workings in natural populations. A prominent challenge is to understand the extent to which variation in environmental conditions affects evolutionary change within natural populations. Improved knowledge in this area will greatly advance our understanding of how genetic diversity is maintained in natural populations and of how populations are likely to respond to predicted changes in climate. The characteristics of individuals in a population are a consequence of their genes, the environment in which they live and the evolution that has occurred up to that point. So much is clear, but this simple statement conceals much complexity. Specifically, the consequences of carrying particular genes can vary with environmental conditions; it is possible (but not generally proven) that organisms express more of their genetic potential under good rather than bad environmental conditions. Similarly, the strength of natural selection, whereby some individuals have higher survival or reproductive success than others, may vary with environmental conditions. Since evolutionary change occurs when natural selection acts on inherited characters, environmental fluctuations can therefore have a substantial impact on evolution. Finally, because some of the genes underlying a particular character (e.g. body size) may be the same as, or associated with, the genes underlying another character (e.g. parasite resistance), characters are not free to evolve independently of one another. Instead the effect of natural selection on one character will be constrained by any selection that is also occurring on other characters to which it is genetically tied. Recent research suggests that these constraints also vary with environmental conditions. Currently, we have very little understanding of how these various processes interact to shape evolution in natural populations. In this study we will investigate the effect of environmental conditions on evolutionary processes using data from an unmanaged study population of Soay sheep on the island of St Kilda, NW Scotland. The data set is particularly useful for this study because, firstly, we have records on the individual life histories of several thousand sheep measured across 23 years. DNA profiling has been used to determine paternity and provide a family tree suitable for the kind of genetic analyses proposed here. Secondly, our previous research has demonstrated that there are four kinds environmental variation which show strong temporal variation affecting sheep performance, and we will be investigating all four kinds of variation in this study: the weather, sheep population density, food availability and parasite abundance. We will address the effect of the environmental conditions described above on the expression of genetic variation, the strength of natural selection and the genetic relationships between characters. Specifically we will ask how the environmental affects first, the expression of genetic variation in single characters like body weight: is more genetic variation always expressed when conditions are good? Second does environmental variation affect genetic relationships between characters? For example, are body size and parasite resistance freer to evolve separately under good or bad conditions? Third, is selection stronger or weaker under good environmental conditions? Together these analyses will allow us to predict the course of evolution under specific time series of environmental conditions - for example systematic climate change. Long-term studies of individually-recognised wild animals such as these are an important source of information on many aspects of ecology and evolutionary biology, and the proposed grant would guarantee continuity of data collection for one of the UK's most valuable ecological and evolutionary field data sets.
期刊论文(10)
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会议论文
DOI: 10.1371/journal.pbio.1001828
发表时间: 2014-04
期刊: PLoS biology
影响因子: 9.8
作者: [Plard F, Gaillard JM, Coulson T, Hewison AJ, Delorme D, Warnant C, Bonenfant C]
通讯作者: Bonenfant C
DOI: 10.1111/oik.02582
发表时间: 2016-03-01
期刊: OIKOS
影响因子: 3.4
作者: [Gamelon, Marlene, Gaillard, Jean-Michel, Baubet, Eric]
通讯作者: Baubet, Eric
DOI: 10.1371/journal.pone.0126373
发表时间: 2015
期刊: PloS one
影响因子: 3.7
作者: [Cusack JJ, Dickman AJ, Rowcliffe JM, Carbone C, Macdonald DW, Coulson T]
通讯作者: Coulson T
Population biology: fur seals signal their own decline.
种群生物学:海狗预示着它们自身的衰落。
DOI: 10.1038/511414a
发表时间: 2014
期刊: Nature
影响因子: 64.8
作者: [Coulson T]
通讯作者: Coulson T
9
    Why do some types of biotic change produce predictable ecological, evolutionary and life history strategy change?
    • 批准号:
      EP/Y029720/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $269.79万
    • 财政年份:
      2024
    • 负责人:
      Tim Coulson
    • 依托单位:
    Trait-mediated density-dependence and community level eco-evolutionary dynamics
    • 批准号:
      NE/K014218/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $44.74万
    • 财政年份:
      2014
    • 负责人:
      Tim Coulson
    • 依托单位:
    Explaining responses to climate change in a wild vertebrate population
    • 批准号:
      NE/I023783/2
    • 项目类别:
      Research Grant
    • 资助金额:
      $3.47万
    • 财政年份:
      2013
    • 负责人:
      Tim Coulson
    • 依托单位:
    Individual strategies, group dynamics and population regulation in singular cooperative breeders
    • 批准号:
      NE/H007148/2
    • 项目类别:
      Research Grant
    • 资助金额:
      $0.99万
    • 财政年份:
      2013
    • 负责人:
      Tim Coulson
    • 依托单位:
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    Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2025
    • 负责人:
      Antonios Katsianis
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    Understanding structural evolution of galaxies with machine learning
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2022
    • 负责人:
      Nicola Rosario Napolitano
    • 依托单位:
    发展/减排路径(SSPs/RCPs)下中国未来人口迁移与集聚时空演变及其影响
    • 批准号:
      19ZR1415200
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2019
    • 负责人:
      夏海斌
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