Waples Robin S
School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA.
Mol Ecol. 2025 Feb 10:e17670. doi: 10.1111/mec.17670.
This is a reference manual for the elegant, yet hideously complex concept of effective population size (N), inspired by a classic, self-published manual of automotive repair 'for the compleat idiot'. The Guide is timely, given the recent Kunming-Montreal Global Biodiversity Framework, where 196 Parties committed to tracking genetic diversity-and estimating N-for all species. N is a human construct, but a useful one that allows us to capture diverse aspects of an organism's biology in a single number. The Guide collates in one location factual information about effective population size, with a focus on topics of practical relevance to scientists and managers studying real populations; it covers definition, computation and estimation of effective size, both demographically and genetically. As appropriate, the reader is directed to other primary sources for more details. A 'Don't Do These Things' section lists several ill-advised approaches to dealing with N, and an Appendix provides useful tools and practical suggestions for interested users. A special section considers both possibilities and challenges presented by the genomics revolution. Availability of vast numbers of genetic markers increases precision, but less than some might think, and simultaneously introduces new challenges involving filtering and bioinformatics processing. As annotated genomes become more common for non-model species, opportunities are opened to address qualitatively different questions, including reconstructing historical changes in N through time.
这是一本关于有效种群大小(N)这一精妙却极其复杂概念的参考手册,其灵感源自一本经典的、作者自行出版的汽车修理手册,该手册面向“十足的笨蛋”。鉴于近期的《昆明-蒙特利尔全球生物多样性框架》,本指南恰逢其时,在该框架中,196个缔约方承诺追踪所有物种的遗传多样性并估算其有效种群大小。有效种群大小是人为构建的概念,但却是一个有用的概念,它能让我们用一个数字概括生物体生物学的多个不同方面。本指南将关于有效种群大小的事实性信息汇集于一处,重点关注与研究实际种群的科学家和管理者实际相关的主题;涵盖有效大小在人口统计学和遗传学方面的定义、计算和估算。在适当之处,会引导读者查阅其他主要资料来源以获取更多细节。“不要做这些事”部分列出了几种处理有效种群大小的不明智方法,附录为感兴趣的用户提供了有用的工具和实用建议。一个特别的章节探讨了基因组学革命带来的可能性和挑战。大量遗传标记的可用性提高了精确性,但程度低于一些人可能的预期,同时还带来了涉及筛选和生物信息学处理的新挑战。随着非模式物种的注释基因组变得更加常见,解决性质不同问题的机会也随之出现,包括重建有效种群大小随时间的历史变化。