Andrews Kimberly R, Hohenlohe Paul A, Miller Michael R, Hand Brian K, Seeb James E, Luikart Gordon
School of Biological & Biomedical Sciences, Durham University, South Road, Durham, DH1 3LE, UK.
Mol Ecol. 2014 Dec;23(24):5943-6. doi: 10.1111/mec.12964.
Puritz et al. provide a review of several RADseq methodological approaches in response to our 'Population Genomic Data Analysis' workshop (Sept 2013) review (Andrews & Luikart 2014). We agree with Puritz et al. on the importance for researchers to thoroughly understand RADseq library preparation and data analysis when choosing an approach for answering their research questions. Some of us are currently using multiple RADseq protocols, and we agree that the different methods may offer advantages in different cases. Our workshop review did not intend to provide a thorough review of RADseq because the workshop covered a broad range of topics within the field of population genomics. Similarly, neither the response of Puritz et al. nor our comments here provide sufficient space to thoroughly review RADseq. Nonetheless, here we address some key points that we find unclear or potentially misleading in their evaluation of techniques.
普里茨等人针对我们的“群体基因组数据分析”研讨会（2013年9月）评论（安德鲁斯和路易卡特，2014年），对几种简化基因组测序（RADseq）方法进行了综述。我们赞同普里茨等人的观点，即研究人员在选择回答其研究问题的方法时，充分理解RADseq文库制备和数据分析非常重要。我们中的一些人目前正在使用多种RADseq方案，并且我们也认同不同的方法在不同情况下可能具有优势。我们的研讨会评论并非旨在对RADseq进行全面综述，因为该研讨会涵盖了群体基因组学领域内的广泛主题。同样，普里茨等人的回应以及我们在此处的评论都没有足够的篇幅来全面综述RADseq。尽管如此，在此我们讨论一些我们认为在他们对技术的评估中不清楚或可能产生误导的关键点。
