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Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses
The detection of QTL by association genetics depends on the genetic architecture of the trait under study, the size and structure of the investigated population and the availability of phenotypic and marker data of sufficient quality and quantity. In roses, we previously demonstrated that major QTL...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145204/ https://www.ncbi.nlm.nih.gov/pubmed/33946713 http://dx.doi.org/10.3390/plants10050897 |
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author | Schulz, Dietmar Linde, Marcus Debener, Thomas |
author_facet | Schulz, Dietmar Linde, Marcus Debener, Thomas |
author_sort | Schulz, Dietmar |
collection | PubMed |
description | The detection of QTL by association genetics depends on the genetic architecture of the trait under study, the size and structure of the investigated population and the availability of phenotypic and marker data of sufficient quality and quantity. In roses, we previously demonstrated that major QTL could already be detected in small association panels. In this study, we analyzed petal number, petal size and fragrance in a small panel of 95 mostly tetraploid garden rose genotypes. After genotyping the panel with the 68 K Axiom WagRhSNP chip we detected major QTL for all three traits. Each trait was significantly influenced by several genomic regions. Some of the QTL span genomic regions that comprise several candidate genes. Selected markers from some of these regions were converted into KASP markers and were validated in independent populations of up to 282 garden rose genotypes. These markers demonstrate the robustness of the detected effects independent of the set of genotypes analyzed. Furthermore, the markers can serve as tools for marker-assisted breeding in garden roses. Over an extended timeframe, they may be used as a starting point for the isolation of the genes underlying the QTL. |
format | Online Article Text |
id | pubmed-8145204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81452042021-05-26 Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses Schulz, Dietmar Linde, Marcus Debener, Thomas Plants (Basel) Article The detection of QTL by association genetics depends on the genetic architecture of the trait under study, the size and structure of the investigated population and the availability of phenotypic and marker data of sufficient quality and quantity. In roses, we previously demonstrated that major QTL could already be detected in small association panels. In this study, we analyzed petal number, petal size and fragrance in a small panel of 95 mostly tetraploid garden rose genotypes. After genotyping the panel with the 68 K Axiom WagRhSNP chip we detected major QTL for all three traits. Each trait was significantly influenced by several genomic regions. Some of the QTL span genomic regions that comprise several candidate genes. Selected markers from some of these regions were converted into KASP markers and were validated in independent populations of up to 282 garden rose genotypes. These markers demonstrate the robustness of the detected effects independent of the set of genotypes analyzed. Furthermore, the markers can serve as tools for marker-assisted breeding in garden roses. Over an extended timeframe, they may be used as a starting point for the isolation of the genes underlying the QTL. MDPI 2021-04-29 /pmc/articles/PMC8145204/ /pubmed/33946713 http://dx.doi.org/10.3390/plants10050897 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schulz, Dietmar Linde, Marcus Debener, Thomas Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title | Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title_full | Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title_fullStr | Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title_full_unstemmed | Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title_short | Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses |
title_sort | detection of reproducible major effect qtl for petal traits in garden roses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145204/ https://www.ncbi.nlm.nih.gov/pubmed/33946713 http://dx.doi.org/10.3390/plants10050897 |
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