NSF Postdoctoral Fellowship in Biology FY 2021: Integrating microbial dynamics into methane models for northern peatland and post-glacial lakes

2021 财年 NSF 生物学博士后奖学金：将微生物动力学整合到北部泥炭地和冰河后湖泊的甲烷模型中

• 批准号: 2109429
• 负责人: McKenzie Kuhn
• 金额: $ 13.8万
• 依托单位: Kuhn, McKenzie Ann
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2109429&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2021, Integrative Research Investigating the Rules of Life Governing Interactions Between Genomes, Environment and Phenotypes. The fellowship supports research and training of the fellow that will contribute to the area of Rules of Life in innovative ways. Northern lakes are important sources of the greenhouse gas, methane (CH4) into the atmosphere. Methane emissions from lakes are expected to increase as the Arctic warms, leading to the thaw of ground that has been frozen for hundreds to thousands of years (permafrost) and releasing organic material into lakes, where it can be consumed by microbes and transformed into methane. Microbes are the key drivers of methane emissions from lakes. Different microbes leave distinct “fingerprints,” (isotopic signatures) on methane. These fingerprints are crucial components of global methane models and are used to trace methane in the atmosphere back to its source. However, little is known about which microbes live in northern lake sediments or how microbial activity (methane production) and related methane emissions and fingerprints will change with warming and permafrost thaw. This project will identify microbes present in lake sediments in northern Sweden and measure how actively microbes produce methane under different thaw and temperature conditions. This research represents a crucial step towards improving global methane models, which predict annual emissions and help inform policy decisions. The fellow will also strive to increase diversity in STEM by mentoring undergraduate students in the field and engaging in K-12 educational activities in New Hampshire and northern Sweden. The fellow will measure CH4 emissions/signatures, abiotic conditions, and sample sediment from two lakes in northern Sweden with contrasting permafrost conditions and potentially different CH4-producing microbes (methanogens). The fellow will analyze sediments for microbial composition (genes) and abundance using 16S rRNA gene amplicon sequencing. With sediment incubations, the fellow will assess the metabolic activity (phenotype expression) of methanogens under warming conditions using metatranscriptome sequencing. The fellow will leverage a library of metagenome-assembled genomes from environments in northern Sweden to map metabolic pathway activity and target specific metabolic genes in methanogens. Ultimately, the fellow will build a statistical CH4 model that links microbial dynamics to CH4 emissions and associated isotopic signatures. The fellow will develop mentoring, professional, and research skills through the NSF BII EMERGE project summer institute for early career researchers and will mentor students in the EMERGE Research Experience for Undergraduates program.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.

这一行动为NSF 2021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。北方湖泊是温室气体甲烷(CH4)进入大气的重要来源。随着北极变暖，湖泊的甲烷排放量预计将增加，导致冻结了数百至数千年的地面(永冻层)融化，并将有机物质释放到湖泊中，在那里它们可以被微生物消耗并转化为甲烷。微生物是湖泊甲烷排放的关键驱动因素。不同的微生物会在甲烷上留下不同的“指纹”(同位素标记)。这些指纹是全球甲烷模型的关键组成部分，用于追踪大气中甲烷的来源。然而，关于哪些微生物生活在北部湖泊沉积物中，或者微生物活动(甲烷产量)以及相关的甲烷排放和指纹将如何随着气候变暖和永久冻土融化而变化，人们知之甚少。该项目将确定瑞典北部湖泊沉积物中存在的微生物，并测量微生物在不同融化和温度条件下产生甲烷的活性。这项研究代表着朝着改进全球甲烷模型迈出的关键一步，该模型预测了年度排放量，并有助于为政策决策提供信息。该研究员还将努力增加STEM的多样性，方法是指导该领域的本科生并在新汉普郡和瑞典北部参与K-12教育活动。这位研究员将测量瑞典北部两个湖泊的甲烷排放/信号、非生物条件和沉积物样本，这两个湖泊的永久冻土条件和潜在的不同产甲烷微生物(产甲烷菌)形成了对比。这位研究员将使用16S rRNA基因扩增序列来分析沉积物中的微生物组成(基因)和丰度。通过沉积物培养，该研究员将使用偏转录组测序来评估变暖条件下产甲烷菌的代谢活性(表型表达)。这位研究员将利用来自瑞典北部环境的元基因组组装基因组库来绘制代谢途径活动图，并针对产甲烷菌中的特定代谢基因。最终，这位研究员将建立一个统计的CH4模型，将微生物动态与CH4排放和相关的同位素特征联系起来。该研究员将通过NSF BII Emerge项目为早期职业研究人员设立的夏季学院培养指导、专业和研究技能，并将指导本科生Emerge Research Experience项目的学生。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。