Population genomics of yeasts: towards a comprehensive view across a broad evolutionary scale.

Yeast

Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156, Strasbourg, France.

Published: March 2016

With the advent of high-throughput technologies for sequencing, the complete description of the genetic variation that occurs in populations, also known as population genomics, is foreseeable but far from being reached. Explaining the forces that govern patterns of genetic variation is essential to elucidate the evolutionary history of species. Genetic variation results from a wide assortment of evolutionary forces, among which mutation, selection, recombination and drift play major roles in shaping genomes. In addition, exploring the genetic variation within a population also corresponds to the first step towards dissecting the genotype-phenotype relationship. In this context, yeast species are of particular interest because they represent a unique resource for studying the evolution of intraspecific genetic diversity in a phylum spanning a broad evolutionary scale. Here, we briefly review recent progress in yeast population genomics and provide some perspective on this rapidly evolving field. In fact, we truly believe that it is of interest to supplement comparative and early population genomic studies with the deep sequencing of more extensive sets of individuals from the same species. In parallel, it would be more than valuable to uncover the intraspecific variation of a large number of unexplored species, including those that are closely and more distantly related. Altogether, these data would enable substantially more powerful genomic scans for functional dissection.

Download full-text PDF

Source
http://dx.doi.org/10.1002/yea.3142DOI Listing

Publication Analysis

Top Keywords

genetic variation
16
population genomics
12
broad evolutionary
8
evolutionary scale
8
population
5
genetic
5
variation
5
genomics yeasts
4
yeasts comprehensive
4
comprehensive view
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!