Hunter Margaret E, Hoban Sean M, Bruford Michael W, Segelbacher Gernot, Bernatchez Louis
U.S. Geological Survey Wetland and Aquatic Research Center Gainesville Florida.
The Morton Arboretum Lisle Illinois.
Evol Appl. 2018 Jul 17;11(7):1029-1034. doi: 10.1111/eva.12661. eCollection 2018 Aug.
This special issue of consists of 10 publications investigating the use of next-generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the National Institute for Mathematical and Biological Synthesis (NIMBioS) in Tennessee, USA. The improved accessibility of next-generation sequencing platforms has allowed molecular ecologists to rapidly produce large amounts of data. However, with the increased availability of new genomic markers and mathematical techniques, care is needed in selecting appropriate study designs, interpreting results in light of conservation concerns, and determining appropriate management actions. This special issue identifies key attributes of successful genetic data analyses in biodiversity evaluation and suggests ways to improve analyses and their application in current population and conservation genetics research.
本期特刊包含10篇论文，探讨了下一代工具和技术在群体遗传分析和生物多样性评估中的应用。该特刊源于2016年由美国田纳西州的国家数学和生物合成研究所（NIMBioS）主办的下一代遗传监测研讨会。下一代测序平台的可及性提高，使分子生态学家能够快速生成大量数据。然而，随着新的基因组标记和数学技术的日益普及，在选择合适的研究设计、根据保护问题解释结果以及确定适当的管理行动时需要谨慎。本期特刊确定了生物多样性评估中成功的遗传数据分析的关键属性，并提出了改进分析方法及其在当前群体和保护遗传学研究中的应用的方法。
