IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Alayna Mead, Sorel Fitz-Gibbon, John Knapp, Victoria L. Sork
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引用次数: 0

摘要

辅助基因流等管理策略可以提高树木种群对气候变化的适应能力。评估不同策略的风险和益处需要物种进化史和遗传结构方面的知识。岛橡树(Quercus tomentella)是一种稀有橡树,仅限于美国加利福尼亚州和墨西哥下加利福尼亚州的六个海峡群岛。以前的研究表明,每个岛上的岛橡树都有基因差异,但目前还不清楚辅助基因流动是否能使种群适应未来的气候。我们对海岛橡树个体和与海岛橡树杂交的近缘物种 Q. chrysolepis(共 127 个)进行了全基因组测序,以描述其分布范围内的遗传结构和引种情况,并评估基因组变异与气候之间的关系。我们介绍并评估了三种潜在的管理策略,这三种策略在保护历史遗传结构和使种群在不断变化的气候中生存之间有着不同的权衡:维持现状法;生态系统保护法,即保护树木及其相关的生物多样性;物种保护法,即保护物种。我们利用梯度森林比较了这些方法对预测气候适应不良的影响。我们还引入了气候适宜性指数,为涉及辅助基因流的方法确定种子来源和种植地点的最佳配对。我们发现有一个岛屿(圣罗莎岛)可以从生态系统保护方法中受益,同时也可以作为物种保护地。总体而言,我们发现生态系统保护方法和物种保护方法都比维持现状的方法更好。如果以保护岛屿橡树生态系统为目标,那么协助分散到多个地点可以产生适应的种群。如果目标是保护一个物种,圣塔罗莎种群将是合适的。本案例研究既说明了岛屿橡树的可行保护策略,也介绍了树木保护的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparison of Conservation Strategies for California Channel Island Oak (Quercus tomentella) Using Climate Suitability Predicted From Genomic Data

Comparison of Conservation Strategies for California Channel Island Oak (Quercus tomentella) Using Climate Suitability Predicted From Genomic Data

Management strategies, such as assisted gene flow, can increase resilience to climate change in tree populations. Knowledge of evolutionary history and genetic structure of species are needed to assess the risks and benefits of different strategies. Quercus tomentella, or Island Oak, is a rare oak restricted to six Channel Islands in California, United States, and Baja California, Mexico. Previous work has shown that Island Oaks on each island are genetically differentiated, but it is unclear whether assisted gene flow could enable populations to tolerate future climates. We performed whole-genome sequencing on Island Oak individuals and Q. chrysolepis, a closely related species that hybridizes with Island Oak (127 total), to characterize genetic structure and introgression across its range and assess the relationship between genomic variation and climate. We introduce and assess three potential management strategies with different trade-offs between conserving historic genetic structure and enabling populations to survive changing climates: the status quo approach; ecosystem preservation approach, which conserves the trees and their associated biodiversity; and species preservation approach, which conserves the species. We compare the impact of these approaches on predicted maladaptation to climate using Gradient Forest. We also introduce a climate suitability index to identify optimal pairs of seed sources and planting sites for approaches involving assisted gene flow. We found one island (Santa Rosa) that could benefit from the ecosystem preservation approach and also serve as a species preservation site. Overall, we find that both the ecosystem and species preservation approaches will do better than the status quo approach. If preserving Island Oak ecosystems is the goal, assisted dispersal into multiple sites could produce adapted populations. If the goal is to preserve a species, the Santa Rosa population would be suitable. This case study both illustrates viable conservation strategies for Island Oak and introduces a framework for tree conservation.

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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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