J. CETACEAN RES. MANAGE. 18: 33–80, 2018 33 Guidelines for genetic data analysis ROBIN S. WAPLES1, A. RUS HOELZEL2, OSCAR GAGGIOTTI3, RALPH TIEDEMANN4, PER J. PALSBØLL5, FRANK CIPRIANO6, JENNIFER JACKSON7, JOHN W. BICKHAM8 AND AIMÉE R. LANG9 Contact e-mail:
[email protected] ABSTRACT The IWC Scientific Committee recently adopted guidelines for quality control of DNA data. Once data have been collected, the next step is to analyse the data and make inferences that are useful for addressing practical problems in conservation and management of cetaceans. This is a complex exercise, as numerous analyses are possible and users have a wide range of choices of software programs for implementing the analyses. This paper reviews the underlying issues, illustrates application of different types of genetic data analysis to two complex management problems (involving common minke whales and humpback whales), and concludes with a number of recommendations for best practices in the analysis of population genetic data. An extensive Appendix provides a detailed review and critique of most types of analyses that are used with population genetic data for cetaceans. KEYWORDS: ABUNDANCE ESTIMATE; BREEDING GROUNDS; CONSERVATION; DNA FINGERPRINTING; FEEDING GROUNDS; GENETICS; HUMPBACK WHALE; MIGRATION; MINKE WHALE; REPRODUCTION; TAXONOMY INTRODUCTION before the analyses considered here begin, the DNA data Recently, guidelines were adopted for quality control of quality-control guidelines have been consulted and followed DNA data intended for use within the International Whaling to the extent possible, and that any substantial deviations Commission (IWC, 2009; 2015a). Once the data have have been documented and explained. been collected, the next step is to analyse the data and make As discussed in detail later, genetic information can inferences that are useful for addressing practical problems provide insights relevant to many types of problems in the management of cetaceans.