基因组学
群体基因组学
生态学
遗传多样性
非生物成分
选择(遗传算法)
多样性(政治)
生物
数据科学
人口
地理
环境资源管理
计算机科学
基因组
环境科学
机器学习
人口学
社会学
基因
生物化学
人类学
作者
Jared A. Grummer,Luciano B. Beheregaray,Louis Bernatchez,Brian K. Hand,Gordon Luikart,Shawn R. Narum,Eric B. Taylor
标识
DOI:10.1016/j.tree.2019.02.013
摘要
Aquatic species represent a vast diversity of metazoans, provide humans with the most abundant animal protein source, and are of increasing conservation concern, yet landscape genomics is dominated by research in terrestrial systems. We provide researchers with a roadmap to plan aquatic landscape genomics projects by aggregating spatial and software resources and offering recommendations from sampling to data production and analyses, while cautioning against analytical pitfalls. Given the unique properties of water, we discuss the importance of considering freshwater system structure and marine abiotic properties when assessing genetic diversity, population connectivity, and signals of natural selection. When possible, genomic datasets should be parsed into neutral, adaptive, and sex-linked datasets to generate the most accurate inferences of eco-evolutionary processes.
科研通智能强力驱动
Strongly Powered by AbleSci AI