Ecological genomics of population persistence and adaptation to environmental change in fishes
Ecological genomics of population persistence and adaptation to environmental change in fishes
批准号:
RGPIN-2020-05300
负责人:
Rogers, Sean
金额:
$4.74万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
气候模型预测的快速环境变化将影响全球物种的分布和丰度,突显出了解和预测种群将如何在变化的环境下持续、适应或死亡的紧迫性。我的研究计划的长期目标是了解遗传变异如何使生物体能够在其环境中坚持并适应环境变化。为了解决这个问题,我的研究小组专注于进化变化的最近原因(遗传/表观遗传机制)和最终原因(选择的强度/因素),以解释基因如何与环境相互作用,使用现场和实验室实验相结合的方法,整合自然鱼类种群的基因组学来实现这一目标。温度是影响生物体分布和丰度的主要环境因素,并且是影响生理、行为和可塑性(个体基因型对环境变化表达不同表型的能力)的与温度相关的特征的主要环境因素。许多物种特别容易受到气候变化的影响,因为它们依赖环境温度。然而,对于许多记录了自然种群进化变化并将其归因于气候变化的研究来说,事实证明,很难区分表型可塑性在假定进化的特征中所起的作用。我们的研究计划将测试与鱼类温度变化相关的生态基因组学和表型可塑性进化的具体假设,以更好地预测它们未来的丰度和分布。在这个框架内,我们将使用三刺鱼来研究我们研究计划未来五年的以下短期目标:(1)测试可塑性介导的种群持久性和适应性表型可塑性的进化预测,并使用基因表达和DNA测序来阐明促成这些过程的潜在机制,(2)测试关于早期生活温度应激源对未来表型可塑性的表达的作用和对环境中表现的影响的预测,(3)确定多种应激源对表型可塑性的演化的影响及其对预测的物种分布范围的相应影响,以及(4)用新兴的基因组编辑方法确定与表型可塑性相关的等位基因的功能作用。我们将使用一种综合的方法产生影响的数据,以评估表型可塑性在进化弹性和适应全球气温变化方面的作用。总而言之,我们希望我们研究的进展将有助于理解野生种群如何在不断变化的环境中持续和进化,并通过提高气候变化模型下预测物种分布的准确性来为政策提供信息。
英文摘要
Rapid environmental changes predicted by climate models will impact the global distribution and abundance of species, highlighting the urgency to understand and predict how populations will persist, adapt or perish under changing environments. The long-term objective of my research program is to understand how genetic variation enables organisms to persist in their environment and adapt to environmental change. My research group tackles this by focusing on the proximate (genetic/epigenetic mechanisms) and ultimate (strength/agent of selection) causes of evolutionary change to explain how genes interact with the environment, using a combination of field and lab experiments that integrate genomics in natural populations of fishes to achieve this objective. Temperature is a predominant environmental factor affecting the distribution and abundance of organisms and as an "abiotic master factor" influences physiology, behaviour, and plasticity (the capacity for an individual genotype to express different phenotypes in response to environmental variation) of temperature-associated traits. Many species are particularly vulnerable to climate change because of their reliance on environmental temperature. Yet, for many studies that have recorded evolutionary changes in natural populations and attributed them to climate change, it has proven difficult to distinguish the role of phenotypic plasticity in putatively evolving traits. Our research program will test specific hypotheses about the ecological genomics and evolution of phenotypic plasticity in association with temperature variation in fishes to better predict their future abundance and distribution. Within this framework, we will use threespine stickleback to investigate the following short-term objectives over the next five years of our research program: (1) test the evolutionary predictions of plasticity-mediated population persistence and adaptive phenotypic plasticity and use gene expression and DNA sequencing to elucidate the underlying mechanisms contributing to these processes, (2) test predictions about the role of early life temperature stressors on the expression of future phenotypic plasticity and consequences for performance in the environment, (3) determine the effects of multiple stressors on the evolution of phenotypic plasticity and its corresponding impact on predicted species distribution ranges, and (4) determine the functional role of alleles associated with phenotypic plasticity with emerging genome editing methods. We will produce impactful data using an integrative approach to evaluate the role of phenotypic plasticity in evolutionary resilience and adaptation to global temperature changes. Collectively, our hope is that advances in our research will contribute to an understanding of how wild populations persist and evolve in the face of changing environments, and inform policy by improving the accuracy of predicted species distributions under climate change models.
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