Microsatellite Primer Development for Post Oak, Quercus stellata (Fagaceae)
Premise of the study: The American Cross Timbers forest ecosystem runs from southeastern Kansas to Central Texas and is primarily composed of post oak (Quercus stellata). This old-growth forest currently occupies only about 2% of its ancestral range. To facilitate genetic research on this species, w...
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Published in | Applications in plant sciences Vol. 2; no. 10; pp. 1400070 - n/a |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Botanical Society of America
01.10.2014
John Wiley & Sons, Inc Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | Premise of the study: The American Cross Timbers forest ecosystem runs from southeastern Kansas to Central Texas and is primarily composed of post oak (Quercus stellata). This old-growth forest currently occupies only about 2% of its ancestral range. To facilitate genetic research on this species, we developed microsatellite primers specific to post oak from reduced genomic libraries. Methods and Results: Two Q. stellata individuals, sampled from the northern and southern range of the post oak forest, were subject to genomic reduction and 454 pyrosequencing. Bioinformatic analysis identified putative microsatellites from which 12 polymorphic primer sets were screened on three populations. The number of alleles observed ranged from five to 20 across all populations, while observed and expected heterozygosity values ranged from 0.05 to 0.833 and 0.236 to 0.893, respectively, within individual populations. Conclusions: We report the development of microsatellite markers, specific to post oak, to aid the study of genetic diversity and population structure of extant forest remnants. |
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Bibliography: | http://dx.doi.org/10.3732%2Fapps.1400070 The authors gratefully acknowledge the Office of Research and Creative Activities at Brigham Young University for supporting this study. The authors thank Shannon and Ryan Chatwin for help collecting specimens, and Katie Anderson for help in the laboratory. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 2168-0450 2168-0450 |
DOI: | 10.3732/apps.1400070 |