Southwest Fisheries Science Center, National Marine Fisheries Service, La Jolla, CA 92037, USA.
J Hered. 2010 Jan-Feb;101(1):1-10. doi: 10.1093/jhered/esp107.
Genetic data are often critical for defining populations for management purposes (e.g., identifying geographic boundaries or diagnostic characters for genetically discrete subunits) but can be called into question by both scientific and legal review. This can result in reversed or delayed implementation of management actions. We discuss methods for data quality control and quality analysis and describe examples of steps applied to 2 of the most common types of genetic data, mitochondrial DNA sequences, and microsatellite genotypes. These steps can serve both as guides to conservation geneticists and as an initial protocol for managers to determine whether genetic data will hold up against legal and scientific challenges. In addition, we suggest types of data and quality measures that should be reported as supplementary materials to published reports. These supplementary data serve to reduce the occurrence of legal and conservation controversies and improve reproducibility over time in population genetics studies where genetic monitoring is likely to play an increasing role.
遗传数据通常对确定管理目的的种群至关重要（例如，识别地理边界或具有遗传差异的亚单位的诊断特征），但可能受到科学和法律审查的质疑。这可能导致管理行动的逆转或延迟实施。我们讨论了数据质量控制和质量分析的方法，并描述了应用于最常见的两种遗传数据类型的示例，即线粒体 DNA 序列和微卫星基因型。这些步骤既可以作为保护遗传学家的指南，也可以作为管理者的初步方案，以确定遗传数据是否经得起法律和科学挑战。此外，我们建议应作为补充材料报告哪些类型的数据和质量措施，以发表报告。这些补充数据有助于减少法律和保护方面的争议，并随着时间的推移提高种群遗传学研究中遗传监测可能发挥越来越重要作用的可重复性。
