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Guidelines for genetic data analysis

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RS7069_18_pp033_80_Waples.pdf (921.1Kb)
Date
01/11/2018
Author
Waples, Robin S.
Rus Hoelzel, A.
Gaggiotti, Oscar
Tiedemann, Ralph
Palsbøll, Per J.
Cipriano, Frank
Jackson, Jennifer
Bickham, John W.
Lang, Aimée R.
Keywords
Abundance estimate
Breeding grounds
Conservation
DNA fingerprinting
Feeding grounds
Genetics
Humpback whale
Migration
Minke whale
Reproduction
Taxonomy
GC Oceanography
QA75 Electronic computers. Computer science
QH426 Genetics
Animal Science and Zoology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
I-PW
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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.
Citation
Waples , R S , Rus Hoelzel , A , Gaggiotti , O , Tiedemann , R , Palsbøll , P J , Cipriano , F , Jackson , J , Bickham , J W & Lang , A R 2018 , ' Guidelines for genetic data analysis ' , Journal of Cetacean Research and Management , vol. 18 , pp. 33-80 . < https://archive.iwc.int/?r=7069 >
Publication
Journal of Cetacean Research and Management
Status
Peer reviewed
ISSN
1561-0713
Type
Journal article
Rights
Copyright © 2018 the Author(s). This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the final published version of the work, which was originally published at https://archive.iwc.int/?r=7069.
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  • University of St Andrews Research
URL
https://archive.iwc.int/?r=7069
URI
http://hdl.handle.net/10023/19530

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