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Using Genomic Data to Infer Historic Population Dynamics of Nonmodel Organisms

Authors
  • Beichman, Annabel C.
  • Huerta-Sanchez, Emilia
  • Lohmueller, Kirk E.
Type
Published Article
Journal
Annual Review of Ecology, Evolution, and Systematics
Publisher
Annual Reviews
Publication Date
Nov 02, 2018
Volume
49
Pages
433–456
Identifiers
DOI: 10.1146/annurev-ecolsys-110617-062431
Source
Annual Reviews
Keywords
License
Yellow

Abstract

Genome sequence data are now being routinely obtained from many nonmodel organisms. These data contain a wealth of information about the demographic history of the populations from which they originate. Many sophisticated statistical inference procedures have been developed to infer the demographic history of populations from this type of genomic data. In this review, we discuss the different statistical methods available for inference of demography, providing an overview of the underlying theory and logic behind each approach. We also discuss the types of data required and the pros and cons of each method. We then discuss how these methods have been applied to a variety of nonmodel organisms. We conclude by presenting some recommendations for researchers looking to use genomic data to infer demographic history.

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