NSF PRFB FY 2023: Disentangling convergent evolutionary color patterns from underlying ecological processes in the clownfish-sea anemone symbiosis.
NSF PRFB FY 2023: Disentangling convergent evolutionary color patterns from underlying ecological processes in the clownfish-sea anemone symbiosis.
批准号:
2305953
负责人:
Catheline Froehlich
金额:
$24.0万
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30
中文摘要
这一行动为NSF 2023财年生物学博士后研究奖学金提供了资金,综合研究调查了支配基因组、环境和表型之间相互作用的生命规则。该奖学金支持研究员的研究和培训,这些研究员将以创新的方式为生活规则领域做出贡献。这位研究员将研究是什么生态条件导致了小丑鱼的颜色图案。小丑鱼有28种,但只有三种不同的颜色图案。这些颜色图案并不是从共同的祖先进化而来的,而是汇聚在它们生活的海葵物种上。虽然科学家们已经研究了100多年来控制会聚进化的生命规则,但我们还没有理解颜色模式会聚的生态过程。小丑鱼-海葵共生提供了一个标志性的模型来测试小丑鱼的行为、食物、微生物群落和地理分布如何影响它们从海葵宿主那里聚集的颜色模式。颜色模式是所有生态系统都能识别的引人注目的特征,该项目将为理解动物如何进化不同的颜色模式提供必要的背景。该项目将通过公众参与和尖端研究培训机会扩大对科学的参与。小丑鱼-海葵共生为色彩模式融合提供了一个独特的模式,因为它们的生活方式主要是现场依附和根据环境量身定做的。这种共生关系辐射广泛,这为测试是否存在影响小丑鱼颜色模式的地理环境提供了机会。由于小丑鱼是现场附着的,它们的行为、饮食和微生物群可能会根据寄主它们的海葵种类而有所不同,并影响它们的颜色模式收敛。因此,该研究员将采用综合方法研究小丑鱼颜色图案趋同的生态背景。该研究员将结合对行为的视频分析,对饮食和营养水平的稳定同位素分析,以及对小丑鱼-海葵共生范围内不同地理区域的皮肤、鳃和肠道微生物遗传学的微生物组分析。这位研究员将接受每一项分析方面的培训,并将通过NSF本科生项目的研究经验传递这种无价的培训。将向代表性不足和资金不足社区的学生提供教育材料。这位研究员将通过虚拟展示和在阿拉巴马州水族馆、学校和其他公共环境中的“与科学家见面”演讲来吸引公众。这一奖项反映了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
This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2023, Integrative Research Investigating the Rules of Life Governing Interactions Between Genomes, Environment, and Phenotypes. The fellowship supports the research and training of the fellow that will contribute to the area of Rules of Life in innovative ways. The fellow will study what ecological conditions gave rise to the color patterns of clownfish. There are 28 species of clownfish, but only three distinct color patterns. These color patterns did not evolve from a common ancestor and instead converged on the species of anemones they live in. Although scientists have been studying the rule of life governing convergent evolution for over 100 years, we have yet to understand what ecological processes underlie the convergence of color patterns. The clownfish-anemone symbiosis provides an iconic model to test how clownfish behavior, diet, microbial community, and geographic distributions influence the convergence of their color patterns from their anemone hosts. Color patterns are compelling traits that are recognized in all ecosystems, and the project will provide the context necessary for understanding how animals evolve different color patterns. The project will broaden participation in science through public engagement and training opportunities on cutting-edge research.The clownfish-anemone symbiosis provides a unique model for color pattern convergence as their lifestyle is primarily site attached and tailored to their environment. The symbiosis has radiated broadly, which provides opportunities for testing whether there is a geographical context that influences the color patterns of clownfish. Since clownfish are site attached, their behavior, diet, and microbiome may vary based on the species of anemones that host them and influence their color pattern convergence. Accordingly, the fellow will investigate the ecological context of color pattern convergence in clownfish using an integrative approach. The fellow will combine video analyses for behavior, stable isotope analyses for diet and trophic level, and microbiome analyses for skin, gill, and gut microbial genetics at geographically distinct areas throughout the range of clownfish-anemone symbioses. The fellow will be trained in each analysis and will pass on this invaluable training via NSF Research Experience for Undergraduate programs. Educational material will be provided to students in underrepresented and underfunded communities. The fellow will engage the public via virtual displays and ‘Meet the Scientist’ presentations at the Alabama Aquarium, schools, and other public settings.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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