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Updated: Jan 30, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Development of novel EST-SSR markers for Ephedra sinica (Ephedraceae) by transcriptome database mining
Si-Qian Jiao1, Yan-Qiang Sun1, Dong-Xu Zhang2
1Beijing Advanced Innovation Center for Tree Breeding by Molecular Design National Engineering Laboratory for Tree Breeding Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants Ministry of Education College of Biological Sciences and Technology Beijing Forestry University Beijing 100083 People's Republic of China.
Premise Of The Study:
Ephedra sinica (Ephedraceae) is a gymnosperm shrub with a wide distribution across Central and Eastern Asia. It is widely cultivated as a medicinal plant, but its wild populations are monitored to determine whether protection is needed.
Methods And Results:
Thirty-six microsatellite markers, including 11 polymorphic markers, were developed from E. distachya RNA-Seq data deposited in the National Center for Biotechology Information dbEST database. Among 100 genotyped E. sinica individuals originating from five different population groups, the allele number ranged from three to 22 per locus. Levels of observed and expected heterozygosity ranged from 0 to 0.866 (average 0.176) and 0 to 0.876 (average 0.491), respectively. Allelic polymorphism information content ranged from 0.000 to 0.847 (average 0.333). Cross-species amplifications were successfully conducted with two related Ephedra species for all 11 di- or trinucleotide simple sequence repeats.
Conclusions:
This study provides the first set of microsatellite markers for genetic monitoring and surveying of this medicinal plant.
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