Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Microsatellite marker development in the crop wild relative Linum bienne using genome skimming.

Landoni, Beatrice and Viruel, Juan and Gomez, Rocio and Allaby, Robin G. and Brennan, Adrian C. and Pico, F. Xavier and Perez-Barrales, Rocio (2020) 'Microsatellite marker development in the crop wild relative Linum bienne using genome skimming.', Applications in plant sciences., 8 (5). e11349.

Abstract

Premise: Nuclear microsatellite markers were developed for Linum bienne , the sister species of the crop L. usitatissimum , to provide molecular genetic tools for the investigation of L. bienne genetic diversity and structure. Methods and Results: Fifty microsatellite loci were identified in L. bienne by means of genome skimming, and 44 loci successfully amplified. Of these, 16 loci evenly spread across the L. usitatissimum reference nuclear genome were used for genotyping six L. bienne populations. Excluding one monomorphic locus, the number of alleles per locus ranged from two to 12. Four out of six populations harbored private alleles. The levels of expected and observed heterozygosity were 0.076 to 0.667 and 0.000 to 1.000, respectively. All 16 loci successfully cross‐amplified in L. usitatissimum . Conclusions: The 16 microsatellite loci developed here can be used for population genetic studies in L. bienne , and 28 additional loci that successfully amplified are available for further testing.

Item Type:Article
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution.
Download PDF
(313Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1002/aps3.11349
Publisher statement:© 2020 Landoni et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Date accepted:26 January 2020
Date deposited:27 May 2020
Date of first online publication:26 May 2020
Date first made open access:27 May 2020

Save or Share this output

Export:
Export
Look up in GoogleScholar