Bibliographic Details
| Title: |
De Novo Transcriptome Assembly and SNP Discovery for the Development of dCAPS Markers in Oat |
| Authors: |
Tae-Heon Kim, Young-Mi Yoon, Jin-Cheon Park, Jong-Ho Park, Kyong-Ho Kim, Yang-Kil Kim, Jae-Han Son, Tae-Il Park |
| Source: |
Agronomy, Vol 12, Iss 1, p 184 (2022) |
| Publisher Information: |
MDPI AG, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Agriculture |
| Subject Terms: |
oat (Avena sativa L.), transcriptome, de novo assembly, SNP, unigene, dCAPS marker, Agriculture |
| More Details: |
Cultivated oat (Avena sativa L.) is an important cereal crop that has captured interest worldwide due to its nutritional properties and associated health benefits. Despite this interest, oat has lagged behind other cereal crops in genome studies and the development of DNA markers due to its large and complex genome. RNA-Seq technology has been widely used for transcriptome analysis, functional gene study, and DNA marker development. In this study, we performed the transcriptome sequencing of 10 oat varieties at the seedling stage using the Illumina platform for the development of DNA markers. In total, 31,187,392~41,304,176 trimmed reads (an average of 34,322,925) were generated from 10 oat varieties. All of the trimmed reads of these varieties were assembled and generated, yielding a total of 128,244 assembled unigenes with an average length of 1071.7 bp and N50 of 1752 bp. According to gene ontology (GO) analysis, 30.7% of unigenes were assigned to the “catalytic activity” of the parent term in the molecular function category. Of the 1273 dCAPS markers developed using 491 genotype-specific SNPs, 30 markers exhibiting polymorphism in 28 oat varieties were finally selected. The transcriptome data of oat varieties could be used for functional studies about the seedling stage of oat and information about sequence variations in DNA marker development. These 30 dCAPS markers will be utilized for oat genetic analysis, cultivar identification, and breeders’ rights protection. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2073-4395 |
| Relation: |
https://www.mdpi.com/2073-4395/12/1/184; https://doaj.org/toc/2073-4395 |
| DOI: |
10.3390/agronomy12010184 |
| Access URL: |
https://doaj.org/article/71562a7e0abf443691e8510ba2a8bf40 |
| Accession Number: |
edsdoj.71562a7e0abf443691e8510ba2a8bf40 |
| Database: |
Directory of Open Access Journals |
