Collaborative Research: ORCC: Harnessing Adaptive Variation in Drought Resistance Strategies to Manage Populations Under Climate Change

在气候变化的情况下保护生物多样性是一项重大的社会挑战，土地管理者在努力维持自然资源的同时，每天都面临着如何做到这一点的决定。气候变化提高了平均气温，也改变了严重干旱等极端事件发生的频率和强度。极端事件对于像植物这样运动有限的生物来说尤其具有挑战性，可能导致多样性的持久丧失，甚至局部灭绝。考虑到预测的未来环境的管理和保护行动是必要的，但是对于这些行动应该是什么以及哪些生物学原理应该指导这些行动，几乎没有达成共识。这一挑战之所以存在，部分原因是研究哪些性状能让植物承受这些极端气候事件是困难的；极端干旱的发生是不可预测的，但必须事先获得数据或实验资源来评估事件的影响。这项拟议中的研究将利用美国西部在2010年代经历了一场严重的多年干旱之前、期间和之后收集的十年来常见的猴花Mimulus guttatus。通过研究哪些遗传变异和特征有助于不同种群适应不同地点之间的长期湿度差异，以及这种严重的当代事件，拟议的研究将揭示可能使种群在未来气候中保持弹性的策略。这些预测将在实地研究中得到验证。通过与土地管理者的研讨会，项目设计将由相关利益相关者提供信息，结果随后将为他们的决策提供信息。拟议的研究将解决这个首要问题：抗旱战略的哪些遗传和有机体调整将促进当地人口对气候变化的适应能力？年种群分布广泛，但在干旱胁迫的季节时间和严重程度变化很大的景观上零星分布。尽管古塔atus种群显示出适应干旱空间变化的多种遗传和有机体特征，但最近的研究发现，随着气候变化对历史上的干旱制度造成越来越严重的破坏，它们正在变得局部不适应。该项目将集中描述遗传变异如何通过调控网络自适应地调整生物体策略以适应当地条件，并询问在2010年代美国西部干旱期间展开的各种生态进化过程是否可以通过历史干旱强度、当地遗传变异或种子库动态的局部变化来解释。具体来说，种群基因组分析和深入的复活实验将评估基因和形态、转录组学和生态生理特征在这次严重干旱事件中的进化情况。与干旱相关的等位基因如何自适应地调节这些性状将通过基因编辑进行功能测试，可操作的田间实验将评估这些遗传和有机体因素如何在当前和预测的未来干旱制度下增强适应性。所有实验都将围绕一组共同的基因型进行，由此产生的协同作用将使预测框架的构建和验证成为可能，从而将遗传和有机体数据纳入辅助基因流实践，作为促进人口对气候变化的适应能力和为关键的保护决策提供信息的一种手段。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。

Preserving biological diversity in the face of climate change is a major societal challenge, and land managers face daily decisions about how to do so as they strive to sustain natural resources. Climate change is increasing average temperatures and also changing how often and how intensely extreme events like severe droughts occur. Extreme events are particularly challenging for organisms with limited movement like plants, potentially causing enduring losses of diversity or even local extinctions. Management and conservation actions that take predicted future environments into account are necessary, but there is little consensus on what these actions should be and what biological principles should guide them. This challenge exists in part because studying what traits allow plants to withstand these extreme climate events is difficult; extreme droughts occur unpredictably, yet data or experimental resources must be obtained beforehand to assess the event’s impact. The proposed research will take advantage of a decade of collections of the common monkeyflower, Mimulus guttatus, made before, during, and after a severe, multi-year drought experienced in the 2010s in the Western US. Through studying what genetic variants and characteristics have helped adapt different populations to long-term differences in moisture among sites and also to this severe contemporary event, the proposed research will reveal strategies that may allow populations to remain resilient in future climates. These predictions will be tested in field studies. Through workshops with land managers, the project design will be informed by relevant stakeholders, and the results will subsequently inform their decisions.The proposed research will address this overarching question: what genetic and organismal adjustments to drought resistance strategies will promote local population resilience to changing climates? Annual populations of M. guttatus, are widespread but patchily distributed across a landscape over which the seasonal timing and severity of drought stress is highly variable. Although M. guttatus populations show multiple genetic and organismal signatures of adaptation to spatial variation in aridity, recent work has found they are becoming locally maladapted as climate change causes increasingly drastic disruptions to historical drought regimes. The project will intensively characterize how genetic variation acts through regulatory networks to adaptively tune organismal strategies to local conditions and ask whether the varied eco-evolutionary processes that unfolded during the 2010s Western US drought are explained by local variation in historical drought intensity, local standing genetic variation, or seed bank dynamics. Specifically, population genomic analyses and in-depth resurrection experiments will assess how genes and morphological, transcriptomic, and ecophysiological traits evolved during this severe drought event. How drought-associated alleles adaptively adjust these traits will be tested functionally by gene editing, and manipulative field experiments will evaluate how these genetic and organismal factors enhance fitness under current and predicted future drought regimes. All experiments will be structured around a common set of genotypes, and the resulting synergy will enable construction and validation of predictive frameworks for inclusion of genetic and organismal data into assisted gene flow practices as a means to promote population resilience to climate change and inform critical conservation decisions.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.