Next-generation conservation genetics and biodiversity monitoring

作者：Hunter Margaret E^*; Hoban Sean M; Bruford Michael W; Segelbacher Gernot; Bernatchez Louis

来源：Evolutionary Applications, 2018, 11(7): 1029-1034.

DOI：10.1111/eva.12661

• adaptive management
• effective population size
• genetic diversity
• minimally invasive sampling
• RAD-seq
• single nucleotide polymorphisms

This special issue of Evolutionary Applications 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.

• 出版日期2018-8