Using Genomic Data to Infer Historic Population Dynamics of Nonmodel Organisms
By Annabel C. Beichman, E. Huerta-Sánchez, K. Lohmueller. Annual Review of Ecology, Evolution and Systematics, 2018
177 citations recorded by the source corpus.
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.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/92ec2a287ac41bf118d073b8c9e818693d9dacad
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In Genetics
- Raphael K. Didham
- Jörg C Müller
- S. Yanoviak
- L. Packer
- Simon R. Leather
- Manu E. Saunders
- C. Hassall
- Myles H. M. Menz
Citations in the corpus
- Interpreting insect declines: seven challenges and a way forward (2020, background): “Tools for measuring population variation over time and accounting for complex ecological information (Saunders et al., 2019; Bahlai & Zipkin, 2020) already exist in different fields such as paleoecology (e.g. Wilf et al., 2001; Howard et al., 2009), and conservation genomics (Beichman et al., 2018).”