Proportional sampling strategy often captures more genetic diversity when population sizes vary
Proportional sampling strategy often captures more genetic diversity when population sizes vary
复制标题
DOI：
10.1016/j.biocon.2021.109261
复制
发表时间：
2021-09
影响因子：
5.9
通讯作者：
K. Rosenberger;E. Schumacher;Alissa J. Brown;S. Hoban
中科院分区：
文献类型：
--
作者：
K. Rosenberger;E. Schumacher;Alissa J. Brown;S. Hoban
从植物种群中收集和保存遗传多样性并进行迁地收集是种子库和植物园的主要目标。然而，目前的指导方针收集种质保存植物物种迁地可能不足以捕捉遗传多样性存在于真实的植物种群系统。在这里，我们测试了一个以前从未探索过的采样实践挑战：当一种稀有植物物种的种群大小不同时。我们假设，采样比例的人口规模将捕获更多的遗传多样性比采样相同数量的个人从每个群体。使用一个假设的稀有物种的模拟，我们测试了相等和成比例的策略，并计算了有多少等位基因被捕获的策略。迁移率的影响，最近的瓶颈，和采样强度对遗传多样性捕获进行了研究。我们发现，当人口规模不同时（例如，一个种群的大小是中位数种群大小的3倍），比例抽样在恒定大小的种群下捕获更多的遗传多样性。相对温和的改善（1-5%以上的等位基因多样性，大多数情况下），观察到所有参数的迁移和强度测试，除了当有最近的瓶颈。我们还创建了模拟量身定制的三个世界自然保护联盟红色名录受威胁的橡树（栎oglethorpensis，Q。engelmanii和Q. acerifolia），并且对于这些详细的案例研究发现了与我们的通用模拟类似的结果。我们的结论是，抽样比例的人口规模可能往往是一个有用的抽样策略，创造遗传多样性的迁地植物种群，最终导致更有效地利用资源。
Collecting and conserving genetic diversity from plant populations for ex situ collections is a major objective of seed banks and botanic gardens. However, current guidelines for collecting germplasm to preserve plant species ex situ might not adequately capture the genetic diversity present in real plant population systems. Here, we tested a previously unexplored challenge for sampling practices: when populations of a rare plant species vary in size. We hypothesized that sampling proportional to the population size would capture more genetic diversity than sampling an equal number of individuals from every population. Using simulations of a hypothetical rare species, we tested equal and proportional strategies and calculated how many alleles were captured by either strategy. The effects of migration rate, recent bottlenecks, and sampling intensity on genetic diversity capture were also examined. We found that when population sizes differ (e.g., one population 3 times the size of median population size), proportional sampling captures more genetic diversity under constant size populations. The relatively modest improvement (1–5% more allelic diversity for most cases) was observed across all parameters of migration and intensity tested–except when there were recent bottlenecks. We also created simulations tailored to three IUCN Red List threatened oaks (Quercus oglethorpensis, Q. engelmanii, andQ. acerifolia) and found similar results for these detailed case studies as for our generic simulations. We conclude that sampling proportional to population size may often be a useful sampling strategy to create genetically diverse ex situ plant populations, ultimately resulting in more efficient use of resources.