| 项目编号: | 1453397
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| 项目名称: | CAREER: Differentiating mechanisms of ecological divergence in sympatric microbial populations using an integrated population genomics approach |
| 作者: | Peter Bergholz
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| 承担单位: | North Dakota State University Fargo
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| 批准年: | 2014
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| 开始日期: | 2015-05-01
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| 结束日期: | 2020-04-30
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| 资助金额: | USD559320
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Biological Sciences - Environmental Biology
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| 英文关键词: | microbe
; microbial population
; population
; ecological divergence
; genomic polymorphism
; datum
; process
; genomic adaptation
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| 英文摘要: | A centerpiece of evolutionary ecology research is to understand how new adaptations arise and spread in populations leading to speciation. The adaptation of microbes is important to understand, because microbes are: a) the primary drivers of global biogeochemical cycles, b) the means of production for many applications in biotechnology, and c) the causes of most infectious diseases. Microbes are frequently moved around by the action of animals, plants, wind and water, and may be deposited in unfavorable habitats. As a consequence, microbes adapt to new environments through to a combination of fast mutation rates and acquisition of new genes directly from their environment. There is a pressing need to better understand these processes by which microbes generate and maintain adaptive genetic variation, because such information is needed to forecast the responses of microbial species to rapid changes in land management or climate. This project studies how adaptive genetic variation permits a common bacteria important in biotechnology and the food supply, Escherichia coli, to survive after deposition in unfavorable habitats. Data on this process can tell us about how adaptive variation in populations contributes to the formation of new species.
This project is designed to use the process of passive dispersal to diverse habitats as a natural experiment in order to differentiate between three models of ecological divergence in microbial populations. Studies of the landscape level structure in microbial populations will be complemented with genome-wide association studies. These experiments will link genomic polymorphisms to variation in phenotype, gene expression regulation, and source environment characteristics. These analyses will be coupled with laboratory challenges to quantify the adaptive value of genomic polymorphisms. Machine learning analytical techniques will be used to determine which of three models of ecological divergence best explains the data. An education program will teach undergraduate students about the ecological processes contributing to microevolution and speciation in microbes. The program will combine an agent-based model and data from experiments to teach students to interpret genomic adaptations in light of ecological processes acting on microbes in natural environments. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/94686
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Peter Bergholz. CAREER: Differentiating mechanisms of ecological divergence in sympatric microbial populations using an integrated population genomics approach. 2014-01-01.
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