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CAREER: How do mixotroph phenotypic plasticity and adaptive evolution constrain climate feedbacks?

CAREER: How do mixotroph phenotypic plasticity and adaptive evolution constrain climate feedbacks?
职业:混合营养表型可塑性和适应性进化如何限制气候反馈?
批准号:
2237017
负责人:
Holly Moeller
金额:
$110.4万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2028-04-30

项目摘要

项目成果

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中文摘要
翻译
在海洋中,进行光合作用的浮游生物从大气中清除二氧化碳,而从捕获的猎物中呼吸碳的浮游生物将二氧化碳返回大气。一种特殊类型的浮游生物称为混合营养生物,它将两种新陈代谢形式结合在一起,同时发挥植物和动物的功能。由于混合营养菌依赖于每个过程的程度取决于环境条件,因此很难预测它们对碳循环的净影响。在不断变化的环境中尤其如此。例如,随着地球表面海洋温度的升高,混合营养生物可能会做出可塑性反应(通过可逆的生理状态改变),也可能通过快速进化做出反应。该项目将数学模型和实验室实验相结合,以检验这样一个假设,即更具表型的塑料混合营养体不会进化得那么快,因为它们固有的代谢灵活性将降低自然选择的强度。该项目还支持旨在扩大参与和提高数学素养的培训和推广。项目人员将培训K-12教师,为博物馆参观者提供教育项目,并在数学和生物的交叉点进行本科教学。本科生还将领导独立的研究项目,并开发科学教育模块,允许高中生量化温度对生物的影响。作为该项目的一部分,博士后和本科生研究人员将接受培训和专业发展。为了将混合营养体表型可塑性和进化与气候反馈联系起来,研究人员正在将实验与数学模型相结合。将对Ochromonas属的一些混养菌基因进行表型分析,并将通过实验进化出一个子集,以测试它们的适应进化能力。研究人员正在测量进化谱系中的光合作用和吞噬速率,以量化对碳循环的影响,并利用基因组和转录组测序来确定适应的分子基础。将开发一系列数学模型,以了解可塑性和进化的机制基础,并将这些机制与它们对气候的影响联系起来。首先,研究人员使用细胞投资模型将经验结果与混合营养细胞的最佳塑料和进化策略的预测进行对比。经过验证的模型模块正在被纳入到上层海洋全球生态系统模型中,以了解这些策略如何在未来气候情景下改变混合营养体的丰度和对碳循环的贡献。该奖项的资金由生物海洋学和海洋教育计划提供。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
In the ocean, plankton that do photosynthesis remove carbon dioxide from the atmosphere, while plankton that respire carbon from captured prey return carbon dioxide to the atmosphere. One special type of plankton called mixotrophs combine both forms of metabolism, functioning as both plant and animal simultaneously. Because the extent to which mixotrophs rely on each process depends on environmental conditions, it can be difficult to predict their net impact on the carbon cycle. This is especially true in changing environments. For example, as Earth’s surface ocean temperatures increase, mixotrophs may respond both plastically (through reversible modifications of their physiological state) and through rapid evolution. This project combines mathematical models and laboratory experiments to test the hypothesis that more phenotypically plastic mixotrophs will not evolve as rapidly because their inherent metabolic flexibility will reduce the strength of natural selection. The project also supports training and outreach designed to broaden participation and expand math literacy. Project personnel will train K-12 teachers, provide educational programs for museum visitors, and conduct undergraduate teaching at the intersection of mathematics and biology. Undergraduate trainees will also lead independent research projects and develop science education modules that allow high school students to quantify the effects of temperature on biology. Postdoctoral and undergraduate researchers receive training and professional development as part of the project.To link mixotroph phenotypic plasticity and evolution to climate feedbacks, researchers are integrating experiments with mathematical models. A number of mixotroph genotypes from the genus Ochromonas will be phenotyped, and a subset will be experimentally evolved to test their capacity for adaptive evolution. Researchers are measuring rates of photosynthesis and phagotrophy in evolved lineages to quantify impacts on the carbon cycle, and genome and transcriptome sequencing are being used to identify the molecular basis of adaptation. A series of mathematical models will be developed to understand the mechanistic bases of plasticity and evolution, and to connect these mechanisms to their climate impacts. First, researchers use a model of cellular investments to contrast empirical results with predictions of mixotrophs’ optimal plastic and evolved strategies. Validated model modules is being incorporated into upper ocean global ecosystem models to understand how these strategies change mixotroph abundance and contributions to the carbon cycle under future climate scenarios.Funds for this award are provided by the Biological Oceanography and Ocean Education Programs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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BEE: Testing the evolutionary responses of mixotrophs to future ocean conditions
COLLABORATIVE RESEARCH: URoL : Epigenetics 2: Predicting phenotypic and eco-evolutionary consequences of environmental-energetic-epigenetic linkages
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