Related Experiment Video
Updated: Mar 14, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
A deep sequencing analysis of transcriptomes and the development of EST-SSR markers in mungbean (Vigna radiata)
Changyou Liu1, Baojie Fan, Zhimin Cao
1Key Laboratory of Crop Genetics and Breeding of Hebei Province, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, People's Republic of China.nkytianjing@163.com.
Abstract:
Mungbean (Vigna radiata L. Wilczek) is one of the most important leguminous food crops in Asia. We employed Illumina paired-end sequencing to analyse transcriptomes of three different mungbean genotypes. A total of 38.3-39.8 million pairedend reads with 73 bp lengths were generated. The pooled reads from the three libraries were assembled into 56,471 transcripts. Following a cluster analysis, 43,293 unigenes were obtained with an average length of 739 bp and N50 length of 1176 bp. Of the unigenes, 34,903 (80.6%) had significant similarity to known proteins in the NCBI nonredundant protein database (Nr), while 21,450 (58.4%) had BLAST hits in the Swiss-Prot database (E-value<10⁻⁵). Further, 1245 differential expression genes were detected among three mungbean genotypes. In addition, we identified 3788 expressed sequence tag-simple sequence repeat (EST-SSR) motifs that could be used as potential molecular markers. Among 320 tested loci, 310 (96.5%) yielded amplification products, and 151 (47.0%) exhibited polymorphisms among six mungbean accessions. These transcriptome data and mungbean EST-SSRs could serve as a valuable resource for novel gene discovery and the marker-assisted selective breeding of this species.
More Related Videos
10:08Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development
Published on: March 5, 2017
06:31An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis
Published on: January 11, 2017