Making the most of population genomic data to understand the importance of chromosomal inversions for adaptation and speciation

© 2020 John Wiley & Sons Ltd..

Chromosomal inversions are increasingly found to differentiate locally adapted populations. This adaptive role is predictable because reduced recombination protects allelic combinations from gene flow. However, we are far from understanding how frequently inversions contribute to local adaptation and how widespread this phenomenon is across species. In a "From the Cover" article in this issue of Molecular Ecology, Huang, Andrew, Owens, Ostevik, and Rieseberg (2020) provide an important step towards this goal not only by finding adaptive inversions in a sunflower ecotype, but also by reversing the approach used to investigate the link between adaptation and inversions. Most studies compare two phenotypes and uncover divergence at a few regions, of which some can subsequently be identified as inversions. In contrast, Huang et al first catalogue putative inversions and then test genotype-environment associations, which allows them to ask systematically whether inversions may be adaptive and in which ecological contexts. They achieve that by revisiting a previous reduced-representation sequencing (RAD-sequencing) data set, demonstrating the suitability of this method to detect inversions in species with limited genomic resources. As such, Huang et al pave the way for a better understanding of the evolutionary role of structural genomic variation and highlight that accounting for inversions in population genomics is now possible, and much needed, in a wider range of organisms.

Errataetall:

CommentOn: Mol Ecol. 2020 Jul;29(14):2535-2549. - PMID 32246540

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:29

Enthalten in:

Molecular ecology - 29(2020), 14 vom: 06. Juli, Seite 2513-2516

Sprache:

Englisch

Beteiligte Personen:

Mérot, Claire [VerfasserIn]

Links:

Volltext

Themen:

Comment
News
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 07.10.2020

Date Revised 07.10.2020

published: Print-Electronic

CommentOn: Mol Ecol. 2020 Jul;29(14):2535-2549. - PMID 32246540

Citation Status MEDLINE

doi:

10.1111/mec.15500

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310769159