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

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
批准号:
1826834
负责人:
Julia Bowsher
金额:
$568.4万
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
项目状态:
已结题
起止时间:
2018-08-15 至 2024-07-31

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中文摘要
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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.
期刊论文(52)
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会议论文
DOI: 10.1371/journal.pclm.0000226
发表时间: 2023-06
期刊: PLOS Climate
影响因子: --
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
DOI: 10.1126/sciadv.aay3115
发表时间: 2020-02-01
期刊: SCIENCE ADVANCES
影响因子: 13.6
作者: [Combes, Stacey A., Gagliardi, Susan F., Dillon, Michael E.]
通讯作者: Dillon, Michael E.
Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations
具有截尾观测的事件时间数据的广义线性混合模型方法
DOI: --
发表时间: 2019
期刊: Southeast SAS Users Group Conference
影响因子: --
作者: [Yeater, K., Yocum, G., Greenlee, K., Bowsher, J., Rajamohan, A., Rinehart, J.]
通讯作者: Rinehart, J.
Transposable elements in individual genotypes of Drosophila simulans
模拟果蝇个体基因型中的转座元件
DOI: 10.1002/ece3.6134
发表时间: 2020
期刊: Ecology and Evolution
影响因子: 2.6
作者: [Signor, Sarah]
通讯作者: Signor, Sarah
34
    Collaborative Research: Insults for free: the roles of metamorphosis and dormancy in aging dynamics
    • 批准号:
      2311952
    • 项目类别:
      Standard Grant
    • 资助金额:
      $88.02万
    • 财政年份:
      2023
    • 负责人:
      Julia Bowsher
    • 依托单位:
    A Critical Examination of the Model for Insect Body Size Determination: the Mechanisms of Body Size Variation in Bees
    • 批准号:
      1557940
    • 项目类别:
      Standard Grant
    • 资助金额:
      $67.36万
    • 财政年份:
      2016
    • 负责人:
      Julia Bowsher
    • 依托单位:
    海外基金