Related Experiment Video
Updated: Jan 19, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Transcriptome landscaping for gene mining and SSR marker development in Coriander (Coriandrum sativum L.)
Nilam J Tulsani1, Rasmieh Hamid2, Feba Jacob3
1Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University, Anand, Gujarat, India.
Abstract:
Coriander (Coriandrum sativum L.) is an aromatic herb, widely used as a spice and is of great pharmaceutical interest. Despite high medicinal and economic value, there is a dearth of genomic information about profiling as well as the expressed sequence-based genic markers. In this study, transcriptome was sequenced from seeds, leaves, and flower for gene mining and identification of SSR markers. A total of 9746 SSR containing loci were identified, the most abundant type of SSR identified were the di-nucleotide repeat motifs (45.5%), followed by tri- (34.6%), tetra- (4.5%), penta- (1.5%) and hexanucleotide repeats (1%). A total of 3795 primers were designed, out of which 120 randomly selected were validated in 14 accessions of coriander cultivated in India. The current study provides useful information about preliminary transcriptome sketch and genic markers, which can be useful in breeding and genetic diversity estimation of coriander.
More Related Videos
Related Concept Videos
10:16Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:27A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel
11:13Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
07:06Principles of Site-Specific Recombinase (SSR) Technology
13:51Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
06:05Development of a Negative Selectable Marker for Entamoeba histolytica

