Demographic inference

Marchi, Nina; Schlichta, Flávia; Excoffier, Laurent (2021). Demographic inference. Current Biology, 31(6), R276-R279. Cell Press 10.1016/j.cub.2021.01.053

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In the last ten years, the next generation sequencing revolution has multiplied the amount of genetic data for many organisms by orders of magnitude. This has not only led to evolutionary biologists having more data available but also to new and different types of data: from a handful of allozyme markers in the 70s, we got dozens of restriction fragment length polymorphisms (RFLPs) in the 80s, hundreds of microsatellites in the 90s, thousands to hundreds of thousands of single nucleotide polymorphisms (SNPs) in the 2000s, a few full genomes in the 2010s, and thousands of full genomes in the 2020s. These data have provided information not only on the genetic diversity and evolution of the organisms studied but also on genome-wide patterns of selection, linkage disequilibrium, as well as recombination and mutation processes. Below, we will describe how these new genomic data can be used to infer the past demographic history of populations.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Population Genetics

UniBE Contributor:

Marchi, Nina, Schlichta, Flávia, Excoffier, Laurent

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

0960-9822

Publisher:

Cell Press

Language:

English

Submitter:

Susanne Holenstein

Date Deposited:

12 Nov 2021 15:59

Last Modified:

23 Dec 2022 09:45

Publisher DOI:

10.1016/j.cub.2021.01.053

PubMed ID:

33756135

BORIS DOI:

10.48350/160435

URI:

https://boris.unibe.ch/id/eprint/160435

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