Pierson Jennifer C, Beissinger Steven R, Bragg Jason G, Coates David J, Oostermeijer J Gerard B, Sunnucks Paul, Schumaker Nathan H, Trotter Meredith V, Young Andrew G
CSIRO Plant Industry, P.O. Box 1600, Canberra, ACT, 2601, Australia.
Department of Environmental Science, Policy and Management, and Museum of Vertebrate Zoology, UC Berkeley, Berkeley, CA, 94720, U.S.A.
Conserv Biol. 2015 Jun;29(3):755-64. doi: 10.1111/cobi.12431. Epub 2014 Dec 11.
We examined how ecological and evolutionary (eco-evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco-evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco-evo PVA using individual-based models with individual-level genotype tracking and dynamic genotype-phenotype mapping to model emergent population-level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco-evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence.
我们研究了种群动态中的生态和进化（生态 - 进化）过程如何能更好地整合到种群生存力分析（PVA）中。计算和种群基因组学方面的互补进展可以结合到生态 - 进化PVA中，以提供强大的新方法来理解进化过程对种群持续性的影响。我们利用基于个体的模型，通过个体水平的基因型追踪和动态基因型 - 表型映射，建立了生态 - 进化PVA的机制基础，以模拟诸如局部适应和遗传拯救等种群水平的涌现效应。然后，我们概述了基因组学如何通过为中性和功能基因组区域的大量基因座提供基因型信息，来允许或改进PVA模型的参数估计。随着气候变化和其他威胁过程在速率和规模上的增加，生态 - 进化PVA将成为评估适应潜力、进化拯救和局部适应性状对持续性影响的重要研究工具。
