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Appl Plant Sci. 2017 Feb 07;5(2). doi: 10.3732/apps.1600126. eCollection 2017 Feb.

Identification and characterization of microsatellite markers in .

Applications in plant sciences

Nian-Hui Cai, Yu-Lan Xu, Da-Wei Wang, Shi Chen, Gen-Qian Li

Affiliations

  1. Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, Yunnan 650224, People's Republic of China; Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China, College of Forestry, Southwest Forestry University, Kunming, Yunnan 650224, People's Republic of China.
  2. Key Laboratory for Forest Genetic and Tree Improvement and Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, Yunnan 650224, People's Republic of China.
  3. Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China, College of Forestry, Southwest Forestry University, Kunming, Yunnan 650224, People's Republic of China.

PMID: 28224057 PMCID: PMC5315380 DOI: 10.3732/apps.1600126

Abstract

PREMISE OF THE STUDY: Microsatellite primers were developed in

METHODS AND RESULTS: Using next-generation sequencing, a total of 2349 putative simple sequence repeat primer pairs were designed. Eighteen polymorphic markers in 60 individuals belonging to four populations of

CONCLUSIONS: The new markers are promising tools to study the population genetics of

Keywords: Pinaceae; Pinus kesiya var. langbianensis; microsatellite; next-generation sequencing; population genetics

References

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  3. Bioinformatics. 2012 Oct 1;28(19):2537-9 - PubMed
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