Abstract
Seabuckthorn (Hippophae Sp.), a medicinal plant species, is known for long for its multifarious nutritional, medicinal, and ecological properties. Limited attempts towards the characterization of the genome and transcriptome of this valuable plant continue to exist. Since traditional random genomic microsatellites markers are expensive and not reproducible over a wide range of populations, genic markers have now become popular among researchers owing to their ample availability and efficiency, and rapid screening. Therefore, inclination towards in silico mining of microsatellites has recently become popular and feasible exploiting readily available genomic and transcriptome sequences in the public domain, and a variety of computational tools. Moreover, the study of transcription factors for the determination of their role in mechanisms involved in developmental processes and responses towards environmental stresses has become an area of contemporary research. With the advent of the high-throughput technology, there has been a revolutionary development in the field of transcriptome sequencing, including seabuckthorn also in recent years. In the present chapter, we have attempted to document the developments and techniques used for NGS-based transcriptome profiling in seabuckthorn. Finally, we have discussed the mining of microsatellite and transcription factors in seabuckthorn transcriptome assembly. The seabuckthorn transcriptome data could further be exploited to isolate other sequence resources like miRNAs and augment the microsatellite marker resources for diverse applications in future.
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Chaudhary, P., Sharma, P.C. (2022). Mining of Microsatellites and Transcription Factors in Seabuckthorn (Hippophae Sp.) Transcriptomes. In: Sharma, P.C. (eds) The Seabuckthorn Genome. Compendium of Plant Genomes. Springer, Cham. https://doi.org/10.1007/978-3-031-11276-8_12
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DOI: https://doi.org/10.1007/978-3-031-11276-8_12
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