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Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing
Angelica gigas Nakai is an important medicinal herb, widely utilized in Asian countries especially in Korea, Japan, and China. Although it is a vital medicinal herb, the lack of sequencing data and efficient molecular markers has limited the application of a genetic approach for horticultural improv...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664088/ https://www.ncbi.nlm.nih.gov/pubmed/28934115 http://dx.doi.org/10.3390/genes8100238 |
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author | Gil, Jinsu Um, Yurry Kim, Serim Kim, Ok Tae Koo, Sung Cheol Reddy, Chinreddy Subramanyam Kim, Seong-Cheol Hong, Chang Pyo Park, Sin-Gi Kim, Ho Bang Lee, Dong Hoon Jeong, Byung-Hoon Chung, Jong-Wook Lee, Yi |
author_facet | Gil, Jinsu Um, Yurry Kim, Serim Kim, Ok Tae Koo, Sung Cheol Reddy, Chinreddy Subramanyam Kim, Seong-Cheol Hong, Chang Pyo Park, Sin-Gi Kim, Ho Bang Lee, Dong Hoon Jeong, Byung-Hoon Chung, Jong-Wook Lee, Yi |
author_sort | Gil, Jinsu |
collection | PubMed |
description | Angelica gigas Nakai is an important medicinal herb, widely utilized in Asian countries especially in Korea, Japan, and China. Although it is a vital medicinal herb, the lack of sequencing data and efficient molecular markers has limited the application of a genetic approach for horticultural improvements. Simple sequence repeats (SSRs) are universally accepted molecular markers for population structure study. In this study, we found over 130,000 SSRs, ranging from di- to deca-nucleotide motifs, using the genome sequence of Manchu variety (MV) of A. gigas, derived from next generation sequencing (NGS). From the putative SSR regions identified, a total of 16,496 primer sets were successfully designed. Among them, we selected 848 SSR markers that showed polymorphism from in silico analysis and contained tri- to hexa-nucleotide motifs. We tested 36 SSR primer sets for polymorphism in 16 A. gigas accessions. The average polymorphism information content (PIC) was 0.69; the average observed heterozygosity (H(O)) values, and the expected heterozygosity (H(E)) values were 0.53 and 0.73, respectively. These newly developed SSR markers would be useful tools for molecular genetics, genotype identification, genetic mapping, molecular breeding, and studying species relationships of the Angelica genus. |
format | Online Article Text |
id | pubmed-5664088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56640882017-11-06 Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing Gil, Jinsu Um, Yurry Kim, Serim Kim, Ok Tae Koo, Sung Cheol Reddy, Chinreddy Subramanyam Kim, Seong-Cheol Hong, Chang Pyo Park, Sin-Gi Kim, Ho Bang Lee, Dong Hoon Jeong, Byung-Hoon Chung, Jong-Wook Lee, Yi Genes (Basel) Communication Angelica gigas Nakai is an important medicinal herb, widely utilized in Asian countries especially in Korea, Japan, and China. Although it is a vital medicinal herb, the lack of sequencing data and efficient molecular markers has limited the application of a genetic approach for horticultural improvements. Simple sequence repeats (SSRs) are universally accepted molecular markers for population structure study. In this study, we found over 130,000 SSRs, ranging from di- to deca-nucleotide motifs, using the genome sequence of Manchu variety (MV) of A. gigas, derived from next generation sequencing (NGS). From the putative SSR regions identified, a total of 16,496 primer sets were successfully designed. Among them, we selected 848 SSR markers that showed polymorphism from in silico analysis and contained tri- to hexa-nucleotide motifs. We tested 36 SSR primer sets for polymorphism in 16 A. gigas accessions. The average polymorphism information content (PIC) was 0.69; the average observed heterozygosity (H(O)) values, and the expected heterozygosity (H(E)) values were 0.53 and 0.73, respectively. These newly developed SSR markers would be useful tools for molecular genetics, genotype identification, genetic mapping, molecular breeding, and studying species relationships of the Angelica genus. MDPI 2017-09-21 /pmc/articles/PMC5664088/ /pubmed/28934115 http://dx.doi.org/10.3390/genes8100238 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Gil, Jinsu Um, Yurry Kim, Serim Kim, Ok Tae Koo, Sung Cheol Reddy, Chinreddy Subramanyam Kim, Seong-Cheol Hong, Chang Pyo Park, Sin-Gi Kim, Ho Bang Lee, Dong Hoon Jeong, Byung-Hoon Chung, Jong-Wook Lee, Yi Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title | Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title_full | Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title_fullStr | Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title_full_unstemmed | Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title_short | Development of Genome-Wide SSR Markers from Angelica gigas Nakai Using Next Generation Sequencing |
title_sort | development of genome-wide ssr markers from angelica gigas nakai using next generation sequencing |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664088/ https://www.ncbi.nlm.nih.gov/pubmed/28934115 http://dx.doi.org/10.3390/genes8100238 |
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