Microsatellite primers for the Gynodioecious grassland perennial Saxifraga granulata(Saxifragaceae)
Van Der Meer, Sascha, Van Houdt, Jeroen K.J., Maes, Gregory E., Hellemans, Bart, and Jacquemyn, Hans (2014) Microsatellite primers for the Gynodioecious grassland perennial Saxifraga granulata(Saxifragaceae). Applications in Plant Sciences, 2 (9). 1400040. pp. 1-3.
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Abstract
Premise of the study: Nine polymorphic and 12 monomorphic microsatellite loci (simple sequence repeats [SSRs]) were isolated and characterized for the gynodioecious grassland perennial Saxifraga granulata.
Methods and Results: Based on genomic screening of leaf material of four individuals from four populations, a total of 21 microsatellite primer pairs were designed for S. granulata. Nine loci were polymorphic and were optimized into two PCR multiplex reactions and tested on 100 individuals from five riparian populations from central Belgium. The number of alleles of the polymorphic loci ranged from three to 18, and gametic heterozygosity ranged from 0.26 to 0.94.
Conclusions: The markers that are presented here are the first microsatellite markers reported for S. granulata and will be used to assess how river systems shape the spatial genetic structure and diversity of riparian populations of this species.
| Item ID: | 35288 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2168-0450 |
| Keywords: | gynodioecy, heterozygosity, polyploidy, Saxifraga granulata, Saxifragaceae, simple sequence repeat (SSR) |
| Additional Information: | © 2014 van der Meer et al. Published by the Botanical Society of America. This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
| Date Deposited: | 03 Sep 2014 23:44 |
| FoR Codes: | 06 BIOLOGICAL SCIENCES > 0604 Genetics > 060411 Population, Ecological and Evolutionary Genetics @ 70% 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 30% |
| SEO Codes: | 96 ENVIRONMENT > 9603 Climate and Climate Change > 960305 Ecosystem Adaptation to Climate Change @ 100% |
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