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CAREER: Fluctuations and fitness - fundamental limits and selection conflicts

CAREER: Fluctuations and fitness - fundamental limits and selection conflicts
职业:波动和适应性——基本限制和选择冲突
批准号:
0748760
负责人:
Johan Paulsson
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-01 至 2013-05-31

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中文摘要
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英文摘要
Natural selection occurs at all levels of biological organization. At higher levels it favors cooperation between lower-level units and at lower levels it favors cheaters that exploit the common good for their own interests. The corresponding molecular mechanisms are best characterized for the replication control genes of plasmids in Escherichia coli that face selection at two distinct levels: plasmid copies that systematically over-replicate relative to their cellmates have a higher chance of fixing in descendent cells, but these cells typically have a lower chance of fixing in the population. To analyze the conflict, the mathematical frameworks for multi-scale selection and drift in cells will be extended, focusing on conflict suppression mechanisms, meta-control of selfishness, and how cooperation is prevented by clonal interference. In addition, an experimental platform will be developed to test how different conditions select for altruism or selfishness, and monitor the dynamics of the conflict by mapping arising mutations to the known control systems. All social elements--from microorganisms to humans--can benefit from both cooperation and selfishness, and the most successful behavior depends on the parameters of the social scene. The investigators have identified a clean-cut conflict between selfish and altruistic elements in one of the simplest and best studied processes in bacterial cells: Self-replicating pieces of DNA get an immediate advantage by selfishly over-reproducing, but then instead indirectly suffer because they impose a larger burden on the cells upon which they rely. Because other aspects of this system are so well-studied, this provides a unique opportunity to rigorously analyze a complex phenomenon like cooperation in terms of molecular mechanisms and physical chemistry. General rules for such conflicts will be mathematically derived and experimentally tested, determining conditions for altruistic behavior and identifying mechanisms that enhance or suppress selfishness. By focusing on testable theorems and broad intuitive principles, the results are equally important for education and research.
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Mathematical Methods to Infer Biological Mechanisms From Single Cell Data
  • 批准号:
    1562497
  • 项目类别:
    Standard Grant
  • 资助金额:
    $63.57万
  • 财政年份:
    2016
  • 负责人:
    Johan Paulsson
  • 依托单位:
Fluctuations and Control in Cells
  • 批准号:
    1517372
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.97万
  • 财政年份:
    2015
  • 负责人:
    Johan Paulsson
  • 依托单位:
Fluctuation Theories for Complex Biological Systems
  • 批准号:
    1137676
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.13万
  • 财政年份:
    2011
  • 负责人:
    Johan Paulsson
  • 依托单位:
Towards a coherent theory for stochastic kinetics in biology
  • 批准号:
    0720056
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2007
  • 负责人:
    Johan Paulsson
  • 依托单位:
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