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Development of EST-SSR markers and association mapping with floral traits in Syringa oblata
BACKGROUND: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507607/ https://www.ncbi.nlm.nih.gov/pubmed/32957917 http://dx.doi.org/10.1186/s12870-020-02652-5 |
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author | Yang, Yunyao He, Ruiqing Zheng, Jian Hu, Zenghui Wu, Jing Leng, Pingsheng |
author_facet | Yang, Yunyao He, Ruiqing Zheng, Jian Hu, Zenghui Wu, Jing Leng, Pingsheng |
author_sort | Yang, Yunyao |
collection | PubMed |
description | BACKGROUND: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. RESULTS: In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. CONCLUSION: The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac. |
format | Online Article Text |
id | pubmed-7507607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75076072020-09-23 Development of EST-SSR markers and association mapping with floral traits in Syringa oblata Yang, Yunyao He, Ruiqing Zheng, Jian Hu, Zenghui Wu, Jing Leng, Pingsheng BMC Plant Biol Research Article BACKGROUND: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. RESULTS: In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. CONCLUSION: The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac. BioMed Central 2020-09-21 /pmc/articles/PMC7507607/ /pubmed/32957917 http://dx.doi.org/10.1186/s12870-020-02652-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yang, Yunyao He, Ruiqing Zheng, Jian Hu, Zenghui Wu, Jing Leng, Pingsheng Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title | Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title_full | Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title_fullStr | Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title_full_unstemmed | Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title_short | Development of EST-SSR markers and association mapping with floral traits in Syringa oblata |
title_sort | development of est-ssr markers and association mapping with floral traits in syringa oblata |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507607/ https://www.ncbi.nlm.nih.gov/pubmed/32957917 http://dx.doi.org/10.1186/s12870-020-02652-5 |
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