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RII Track-2 FEC: Insect Cryobiology and Ecophysiology (ICE) Network: Integrating Genomics, Physiology, and Modeling

RII Track-2 FEC：昆虫冷冻生物学和生态生理学 (ICE) 网络：整合基因组学、生理学和建模

基本信息

批准号：
1826834
负责人：
Julia Bowsher
金额：
$ 568.4万
依托单位：
North Dakota State University Fargo
依托单位国家：
美国
项目类别：
Cooperative Agreement
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-15 至 2024-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826834&HistoricalAwards=false
关键词：
RII Track FEC Insect Cryobiology

项目摘要

Non-Technical DescriptionThe goal of the Insect Cryobiology and Ecophysiology (ICE) Network is to understand how bees overcome harsh winter conditions to successfully emerge and reproduce in spring. North American bees spend most of their lives overwintering in a physiological state that protects them from the damage caused by low temperatures and conserves resources necessary for reproduction during the growing season. Regulation of this overwintering state determines key elements of bee lifecycles, including when these critical pollinators are available in natural and agricultural ecosystems. Many aspects of overwintering physiology have been studied in diverse insects, however a deeper understanding of overwintering has been hindered by complex interactions among gene expression, physiology, and environmental context. Bees are an excellent group in which to study overwintering because we already know much about their overwintering physiology, and we have genomic resources in multiple closely related species. Furthermore, using bees facilitates modeling of population responses to changing environments. The ICE Network brings together experts in genomics, gene regulation, physiology, and ecological modeling. The ultimate goal of the model will be to predict how each of the three species will respond to changes in temperature. Faculty from land-grant universities will collaborate with scientist from the USDA Agricultural Research Service establishing close connections in three states, North Dakota, Wyoming, and New Mexico. The results will make it possible to predict and manipulate overwintering phenotypes in three agriculturally-relevant bee species, setting the stage for improved management of those species and more accurate forecasting of wild and agricultural bee populations. The proposed work will support the development of early-career faculty members, and will involve students from diverse backgrounds, including students from Hispanic Serving Institutions and Tribal colleges.Technical DescriptionComplex phenotypes frequently have shared physiological mechanisms, but determining the underlying genetic regulation continues to be a challenge. The long-term research goal of the Insect Cryobiology and Ecophysiology (ICE) Network is to understand the genetic and physiological regulation of the overwintering phenotype in solitary and social bees. Overwintering, also called diapause, is hypothesized to be regulated by a shared genetic ?tool kit.? Identifying this tool kit has been hindered because insects have diverse overwintering strategies and there are few opportunities for close comparisons between species with sequenced genomes. Using three species of bee that use different ecological approaches to overwintering and combining expertise from genetic to ecological levels, the ICE Network is uniquely poised to successfully investigate the genome to phenome trajectory of overwintering. The goal of this proposal is to determine the relative contributions to overwintering phenotypes of standing genetic variation, organismal physiology, and maternal effects. In Aim 1, the genomic contributions to overwintering phenotypes will be examined, including maternal effects through methylation. Obligate overwintering species are predicted to have SNPs associated with geographical variation in the timing of overwintering. In contrast, facultative overwintering species are expected to have maternally-regulated epigenetic signatures. In Aim 2, metabolomics and oxidative stress assays will be used to characterize the physiological effects of low temperature stress during overwintering. The balance between oxidative damage and antioxidant production, and increased lipid metabolism are expected to be significant predictors of overwintering success. In Aim 3, a model will be developed using the findings of Aim 1 and 2 to predict success of overwintering bees in response to changing environmental conditions. The proposal will support the development of two early-career faculty, three postdoctoral fellows, eight graduate students, and 24 undergraduates. The ICE Network will recruit students from NMSU, a Hispanic-serving university, and tribal college students affiliated with existing EPSCoR Programs in North Dakota and Wyoming. Infrastructure improvements include core facility equipment for metabolomics and respiration and improvements to an organismal rearing facility. The proposed research will improve management practices for three bee species that are used in agricultural production.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.

昆虫低温生物学和生态生理学（ICE）网络的目标是了解蜜蜂如何克服严酷的冬季条件，在春季成功地出现和繁殖。北美蜜蜂一生中大部分时间都在越冬中度过，这种生理状态保护它们免受低温造成的损害，并保存生长季节繁殖所需的资源。对这种越冬状态的调节决定了蜜蜂生命周期的关键要素，包括这些关键传粉媒介在自然和农业生态系统中的可用时间。昆虫越冬生理的许多方面已经被研究过，然而，基因表达、生理和环境背景之间复杂的相互作用阻碍了对越冬的更深入理解。蜜蜂是研究越冬的一个极好的群体，因为我们已经对它们的越冬生理有了很多了解，而且我们有多个密切相关物种的基因组资源。此外，使用蜜蜂有助于建立种群对不断变化的环境的反应模型。ICE网络汇集了基因组学、基因调控、生理学和生态建模方面的专家。该模型的最终目标是预测这三种物种对温度变化的反应。来自赠地大学的教师将与美国农业部农业研究服务处的科学家合作，在北达科他州、怀俄明州和新墨西哥州这三个州建立密切的联系。这些结果将使预测和操纵三种与农业相关的蜜蜂物种的越冬表型成为可能，为改善这些物种的管理和更准确地预测野生和农业蜜蜂种群奠定基础。拟议的工作将支持早期职业教师的发展，并将涉及来自不同背景的学生，包括来自西班牙裔服务机构和部落学院的学生。复杂表型通常具有共同的生理机制，但确定潜在的遗传调控仍然是一个挑战。昆虫低温生物与生态生理网络（ICE）的长期研究目标是了解独居和群居蜜蜂越冬表型的遗传和生理调控。越冬，也被称为滞育，被假设是由一个共同的基因？工具包。由于昆虫具有不同的越冬策略，并且很少有机会在具有测序基因组的物种之间进行密切比较，因此鉴定这个工具箱一直受到阻碍。利用三种使用不同生态方法越冬的蜜蜂，并结合从遗传到生态水平的专业知识，ICE网络独特地准备好成功地研究越冬的基因组到表型轨迹。这一建议的目的是确定相对贡献的越冬表型直立遗传变异，有机体生理和母体的影响。在目标1中，基因组对越冬表型的贡献将被检查，包括通过甲基化的母体效应。专性越冬物种被预测具有与越冬时间的地理变异相关的snp。相比之下，兼性越冬物种预计具有母体调节的表观遗传特征。在目标2中，代谢组学和氧化应激分析将用于表征低温胁迫在越冬期间的生理影响。氧化损伤和抗氧化剂产生之间的平衡以及脂质代谢的增加有望成为越冬成功的重要预测因素。在目标3中，将利用目标1和目标2的发现开发一个模型来预测越冬蜜蜂对不断变化的环境条件的反应。该提案将支持两名早期职业教师、三名博士后、八名研究生和24名本科生的发展。ICE网络将招收新密西根州立大学（一所面向西班牙裔的大学）的学生，以及北达科他州和怀俄明州现有EPSCoR项目附属的部落大学生。基础设施的改进包括代谢组学和呼吸的核心设施设备以及对有机饲养设施的改进。拟议的研究将改善农业生产中使用的三种蜜蜂的管理实践。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（52）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Characterizing biological responses to climate variability and extremes to improve biodiversity projections

DOI：
10.1371/journal.pclm.0000226
发表时间：
2023-06
期刊：
PLOS Climate
影响因子：
0
作者：
Lauren B. Buckley;E. Carrington;M. Dillon;C. García‐Robledo;S. Roberts;J. Wegrzyn;M. C. Urban
通讯作者：
Lauren B. Buckley;E. Carrington;M. Dillon;C. García‐Robledo;S. Roberts;J. Wegrzyn;M. C. Urban

Kinematic flexibility allows bumblebees to increase energetic efficiency when carrying heavy loads