IMAGiNE: Testing multi-level controls on an aridity tolerance phenotype over time through physio-genomic data integration
IMAGiNE: Testing multi-level controls on an aridity tolerance phenotype over time through physio-genomic data integration
批准号:
2107975
负责人:
Dale DeNardo
金额:
$86.94万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31
中文摘要
当面临环境挑战时,动物种群已经进行了调整,以更好地应对当地条件,使用了从永久性到高度动态的各种机制。虽然遗传遗传物质的变化是永久性的,但动态调整包括行为的变化,包括活动的时间和持续时间,DNA外基因表达的速度(即RNA转录),以及影响基因表达的非永久性但稳定和可遗传的变化(表观遗传修饰)。这些机制在不同的时间尺度上运作,目前,我们不知道这些机制在使动物种群能够适应不断变化的环境条件方面的相对重要性。德纳多和他的同事们将比较不同种群的响尾蛇对有限水资源的长期耐受能力,研究过去在不同时间出现分歧的三个不同种群对。该团队将检查种群对之间的基因组DNA、行为、生理、基因表达和表观遗传修饰的差异,以及每个种群中个体之间的季节性差异。整合不同类型信息的能力对于大数据分析至关重要,大数据分析是科学和工业中的一项关键技能,研究小组将开发用于创新课程的本科生和研究生教学模块。为了将这一培训扩展到K-12学习者,他们正在与亚利桑那州立大学的Ask a生物学家项目合作,设计并实施一款在线教育和互动干旱生存游戏,使游戏玩家能够探索在极端干旱条件下响尾蛇的基因组和行为策略的影响。适应性表型在自然界中普遍存在,但这种表型可以以不同的方式产生,包括编码和调节基因组变化等确定性机制,以及表观基因组、转录和行为修饰等可塑性反应。这些机制不仅在不同的时间尺度上运作,而且它们的相对重要性以及它们如何相互作用产生适应性表型在很大程度上是未知的。了解这些关系以及它们是如何根据表型的分化时间而变化的,对于了解生物体如何响应新的环境条件,从而准确预测它们耐受快速变化的环境条件的影响的能力是至关重要的。这里,德纳尔多等人。将把全基因组、表观基因组和转录组测序与行为和生理数据相结合,以量化它们在三个不同分化时间的响尾蛇谱系中对延长水分限制耐受性的直接和间接贡献。使用结构方程模型的综合统计分析将使他们能够比较不同谱系之间、谱系内种群之间以及不同季节和氢化物状态的个体内部的相对控制。为了改进不同教育级别的综合统计教学,个人投资促进机构将开发模块,在本科生和研究生在线课程和面对面课程中逐步使用这些数据集。在与Ask a生物学家的协调下,他们还将协调一个在线教育和互动干旱生存游戏的设计、实施和评估,该游戏将要求玩家在进入干旱时期时为响尾蛇分配基因组和行为策略。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。
英文摘要
When faced with environmental challenges, animal populations have adjusted to better cope with local conditions, using mechanisms that range from permanent to highly dynamic. While changes to the inherited genetic material are permanent, dynamic adjustments include alterations in behavior, including the timing and duration of activity, the rate of gene expression off of DNA (i.e., RNA transcription) and non-permanent but stable and heritable alterations that affect gene expression (epigenetic modifications). These mechanisms operate on different timescales, and currently, we do not know the relative importance of these mechanisms in enabling animal populations to adjust to changing environmental conditions. DeNardo and colleagues will compare the ability of different populations of rattlesnakes to tolerate prolonged periods of limited water availability, examining three different population pairs that diverged at different times in the past. The team will examine differences in the genomic DNA, behavior, physiology, gene expression, and epigenetic modifications between populations pairs as well as seasonally among individuals in each population. The ability to integrate different types of information is critical for big data analysis which is a critical skill in science and industry, and the research group will develop undergraduate and graduate teaching modules for use in innovative courses. To extend this training out to K-12 learners, they are partnering with the Ask a Biologist program at Arizona State University to design and implement an online educational and interactive drought survival game that will enable gamers to explore the impact of genomic and behavioral strategies for rattlesnakes during extreme drought conditions. Adaptive phenotypes are ubiquitous in nature, but such phenotypes can come about in different ways, including deterministic mechanisms such as coding and regulatory genomic changes, as well as plastic responses such as epigenomic, transcriptomic, and behavioral modifications. These mechanisms not only operate on different timescales, but their relative importance and how they interplay to produce adaptive phenotypes is largely unknown. Understanding these relationships and how they vary based on divergence time of the phenotype is critical to understanding how organisms respond to novel environmental conditions and therefore accurately predict their ability to tolerate the impacts of rapidly changing environmental conditions. Here, DeNardo et al. will integrate whole-genome, epigenome, and transcriptome sequencing with behavioral and physiological data to quantify their direct and indirect contributions to tolerance of prolonged water limitation in three rattlesnake lineages of differing divergence times. Integrative statistical analysis using structural equation modeling will enable them to compare the relative controls across the different lineages, among populations within lineages, and within individuals across seasons and hydric states. To improve teaching integrative statistics at different educational levels, the PIs will develop modules that progressively use these datasets in undergraduate and graduate online and in-person courses. In coordination with Ask a Biologist, they will also coordinate the design, implementation, and assessment of an online education and interactive drought survival game that, at differing complexity levels, will require the gamer to assign genomic and behavioral strategies to rattlesnakes as they enter a time of drought.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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会议论文
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