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Plant Evolution at Elevated CO2: Physiological and Genetic Mechanisms Controlling Developmental Timing

Plant Evolution at Elevated CO2: Physiological and Genetic Mechanisms Controlling Developmental Timing
高二氧化碳条件下的植物进化:控制发育时间的生理和遗传机制
批准号:
0517668
负责人:
Joy Ward
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-08-01 至 2009-07-31

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英文摘要
Plant Evolution at Elevated [CO2]: Physiological and Genetic Mechanisms Controlling Developmental TimingJoy K. Ward (PI), University of Kansas, Department of Ecology and Evolutionary BiologyJohn K. Kelly (Co-PI), University of Kansas, Department of Ecology and Evolutionary BiologyThe purpose of the proposed research is to determine the effects of elevated atmospheric carbon dioxide on the developmental timing of field-collected and selected genotypes of Arabidopsis thaliana and to elucidate the genetic and molecular mechanisms that control this response. Global change factors will have profound effects on the functioning and productivity of terrestrial ecosystems in the future. Unlike temperature and precipitation that vary across regions, atmospheric carbon dioxide is rising on a global scale and is producing novel levels of carbon availability for plants. It is critical to define the mechanisms for plant adaptation to rising carbon dioxide and to understand how these responses will influence plant functioning and productivity in the future. Changes in the developmental timing of plants in response to elevated carbon dioxide are likely to dictate long-term evolutionary processes in a rapidly changing environment, yet these responses have received relatively little attention. To address this issue, specific genetic lines of Arabidopsis have been selected for increased seed production at elevated carbon dioxide predicted for 70-100 years in the future. Lines showing pronounced responses to selection exhibit disruptions in time to flowering when grown at elevated (700 ppm) versus current (380 ppm) carbon dioxide concentrations, whereas randomly selected control genotypes do not exhibit this response. This represents an unprecedented system for studying the developmental responses of plants to elevated carbon dioxide in an evolutionarily relevant context. This research addresses the following objectives: (1) to determine the effects of elevated carbon dioxide on time to flowering for Arabidopsis plants from different locations throughout North America and Europe, (2) to identify chromosomal regions that confer delayed flowering for an Arabidopsis genotype that was selected for high performance at elevated carbon dioxide, and (3) to characterize the effects of genes that influence the timing of flowering at elevated carbon dioxide. The proposed research is highly inter-disciplinary in nature, and therefore offers excellent training opportunities in the fields of molecular biology, quantitative genetics, and physiological ecology. This project will include the participation of under-represented groups, including students from Haskell Indian Nations University and from the Bioscience Initiative program at the University of Kansas that increases the representation of minorities in the biological sciences. Finally, this research will benefit the scientific community through the development of genetic plant resources that will be made available to other researchers interested in understanding how plants will adapt to rising concentrations of atmospheric carbon dioxide in the future.
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RAPID: Decline and Resilience of White Ash Populations during an Emerald Ash Borer Invasion
Dissertation Research: The El Nino Southern Oscillation and Glacial Juniperus Physiology
Global Environmental Change and Local Ecosystems: A Kansas MSP-Start Project for P-20 Students
CAREER: Plant Evolution at Low CO2: Responses of Ice Age Trees
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
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    10.0万元
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  • 负责人:
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  • 依托单位:
Understanding structural evolution of galaxies with machine learning
  • 批准号:
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  • 资助金额:
    10.0万元
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    2022
  • 负责人:
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The formation and evolution of planetary systems in dense star clusters
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    11043007
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    专项基金项目
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    10.0万元
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    2010
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Improving modelling of compact binary evolution.
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    10903001
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    青年科学基金项目
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  • 批准年份:
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  • 负责人:
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