NSF Postdoctoral Fellowship in Biology FY 2015

2015 财年 NSF 生物学博士后奖学金

• 批准号: 1523788
• 负责人: Phillip Barden
• 金额: $ 13.8万
• 依托单位: Barden Phillip M
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1523788&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2015, Broadening Participation. The fellowship supports a research and training plan in a host laboratory for the Fellow and a plan to broaden participation of groups under-represented in science. The title of the research plan for this fellowship to Phillip Barden is "Utilizing fossils in the age of genomes: a case study of ants and amber." The host institution for this fellowship is Rutgers University-Newark, and the sponsoring scientist is Dr. Jessica Ware. As the cost and difficulty of generating molecular (DNA) data decreases, new questions are emerging regarding the role of paleontological information in the "age of genomes." While massive DNA-based datasets offer unprecedented insight into the history of life on Earth, fossils can provide otherwise unknowable details related to evolutionary timing, ancient morphology, and biogeography. The fellowship research seeks to evaluate the utility of fossils in large-scale molecular datasets through the lens of one of nature's greatest success stories. Today, ants comprise over 13,000 highly social, diverse, and ecologically impactful species found across terrestrial vegetated landscapes worldwide - but this was not always the case. The fossil record suggests that ants were a relatively minor component of arthropod fauna until approximately 50 million years ago. In addition, paleontological evidence, particularly amber fossil deposits, suggests that many of the earliest ants were distinct from their modern relatives and ultimately doomed to extinction. What drove some lineages to extinction while others led to modern levels of diversity and prevalence? Why did prevalence remain low for so long? Paleontological data are being derived from newly discovered fossils from approximately 100 to 50 million years ago, as well as numerous species known from other key moments in ant diversification and extinction. High throughput DNA sequencing is being utilized as a cost-effective method for obtaining large amounts of molecular data for living species. Combined analyses of molecular and morphological data provide a foundation for testing hypotheses relating to the history of ants, as well as a case study for incorporating fossil and large-scale molecular datasets. Ants are an emerging model system for research ranging from artificial intelligence to the study of aging and gene networks, and genome-scale molecular datasets are generated for numerous other organismal groups with rich fossil histories. Training goals include gaining expertise in molecular sequencing and bioinformatics to compliment previous training in paleontology and systematics. Educational outreach at Rutgers University-Newark, recognized as one of the most diverse national universities in the United States, includes serving as a role model and mentoring high school and undergraduate students in fossil description, molecular sequencing, and analysis to generate excitement and encouragement for scientific research among underrepresented groups.

这项行动为2015财年的NSF生物学博士后研究奖学金提供资金，扩大参与。该研究金支持研究员在东道实验室的研究和培训计划，以及扩大在科学领域代表性不足的群体参与的计划。 菲利普巴登的研究计划的标题是“在基因组时代利用化石：蚂蚁和琥珀的案例研究”。“这项研究金的主办机构是罗格斯大学纽瓦克分校，赞助科学家是杰西卡·韦尔博士。随着产生分子（DNA）数据的成本和难度的降低，关于古生物学信息在“基因组时代”中的作用的新问题正在出现。“虽然基于DNA的大规模数据集为地球上的生命历史提供了前所未有的洞察力，但化石可以提供与进化时间，古代形态和地理学相关的其他不可知的细节。这项研究旨在通过自然界最伟大的成功故事之一的透镜来评估化石在大规模分子数据集中的效用。今天，蚂蚁包括超过13，000种高度社会化，多样性和生态影响力的物种，分布在世界各地的陆地植被景观中-但情况并非总是如此。化石记录表明，直到大约5000万年前，蚂蚁是节肢动物群中相对较小的组成部分。此外，古生物学证据，特别是琥珀化石沉积物，表明许多最早的蚂蚁与它们的现代亲戚不同，最终注定要灭绝。是什么驱使一些血统灭绝，而另一些导致现代水平的多样性和流行？为什么流行率如此之低？古生物学数据来自于新发现的大约1亿至5千万年前的化石，以及在蚂蚁多样化和灭绝的其他关键时刻已知的许多物种。高通量DNA测序作为一种经济有效的方法，用于获得大量的生物分子数据。分子和形态学数据的综合分析为检验与蚂蚁历史有关的假设提供了基础，也为结合化石和大规模分子数据集提供了案例研究。蚂蚁是一种新兴的模型系统，用于从人工智能到衰老和基因网络研究的研究，并为许多其他具有丰富化石历史的生物群体生成基因组规模的分子数据集。培训目标包括获得分子测序和生物信息学方面的专业知识，以补充以前在古生物学和系统学方面的培训。 罗格斯大学纽瓦克分校被公认为美国最多样化的国立大学之一，其教育推广活动包括作为榜样，指导高中和本科生进行化石描述，分子测序和分析，以激发和鼓励代表性不足的群体进行科学研究。