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Updated: May 2, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Mining of microsatellites using next generation sequencing of seabuckthorn (Hippophae rhamnoides L.) transcriptome
Ankit Jain1, Saurabh Chaudhary1, Prakash Chand Sharma1
1University School of Biotechnology, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, Delhi 110078 India.
Abstract:
Gene based microsatellite markers are becoming more popular as compared to traditional random genomic microsatellite markers due to rapid and inexpensive method of isolation and their cross species portability. The present study documents occurrence of microsatellites in the transcriptome of seabuckthorn, a plant with immense medicinal, nutritional and ecological value. De novo assembly of over 80 million high quality short reads generated by high throughput next generation sequencing yielded 88297 putative unigenes. Of these, 7.69 % unigenes harbored microsatellite repeats with an average of one microsatellite per 6.704 Kb transcriptome. Dinucleotide repeats were most abundant followed by trinucleotide repeats. Microsatellites were densely populated in coding regions followed by 3' and 5' untranslated regions. AG and AAG type repeats were most frequently represented. Of the microsatellite positive unigenes, 48.81 % could be assigned gene ontology (GO) terms in order to assess associations between microsatellite containing unigenes and biological role of known genes. Utility of unigene specific microsatellites was assessed on the basis of polymorphism(s) detected in 18 seabuckthorn collections from Leh (India) using a set of randomly selected 25 unigene specific microsatellites. The findings presented here are likely to find immense use in future breeding and molecular biology research projects in seabuckthorn aiming at its overall development as a crop.
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