Logo image
Next Generation Transcriptomic Sequencing and Polymorphism Detection in Pepper Varieties Saengryeg 211 and Saengryeg 213
Journal article   Peer reviewed

Next Generation Transcriptomic Sequencing and Polymorphism Detection in Pepper Varieties Saengryeg 211 and Saengryeg 213

Yul-Kyun Ahn, Swati Tripathi, Young-Il Cho, Jeong-Ho Kim, Hye-Eun Lee, Do-Sun Kim, Jong-Gyu Woo and Moo-Kyoung Yoon
Crop science, v 54(4), pp 1690-1697
Jul 2014

Abstract

Agriculture Agronomy Life Sciences & Biomedicine Science & Technology
Limited functional genomics resources and whole genome association studies could be substantially improved in pepper (Capsicum annuum L., Solanaceae) through the application of a molecular approach for characterization of gene content and identification of molecular markers. We performed 454 GS-FLX Titanium massive parallel pyrosequencing of polyA-selected and normalized cDNA libraries generated from a single pool of transcripts obtained from two pepper varieties, the highly pungent Saengryeg 211 and the nonpungent Saengryeg 213, for de novo transcriptome assembly, functional annotation, and in silico discovery of potential molecular markers. A single 454 pyrosequencing run generated 361,671 and 274,269 reads totaling 164.49 and 124.60 Mb of sequence data, which assembled into 23,821 and 17,813 isotigs and 18,147 and 15,129 singletons for both varieties, respectively. These reads were organized into 20,352 and 15,781 'isogroups' for both varieties. Assembled sequences were functionally annotated on the basis of homology to genes in multiple public databases and assigned with gene ontology (GO) terms. Analysis of sequence variants identified a total of 11,584 and 9641 potential single nucleotide polymorphisms (SNPs), which eventually resulted in 665 and 632 genotype-specific SNPs for both the varieties, respectively, after examining SNP frequency distribution for each mapped unigenes. High-throughput transcriptome profiling and large scale of polymorphic marker discovery using next generation sequencing (NGS) of two pepper varieties provides valuable information for functional genomics resources, which will help to further improve the pepper-breeding efforts with respect to genetic linkage maps, quantitative trait locus (QTL) mapping, and marker-assisted trait selection.

Metrics

7 Record Views
3 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#15 Life on Land
#13 Climate Action

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Agronomy
Logo image