Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses

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OriginalspracheEnglisch
Aufsatznummer897
FachzeitschriftPlants
Jahrgang10
Ausgabenummer5
PublikationsstatusVeröffentlicht - 29 Apr. 2021

Abstract

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.

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Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses. / Schulz, Dietmar; Linde, Marcus; Debener, Thomas.
in: Plants, Jahrgang 10, Nr. 5, 897, 29.04.2021.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Schulz D, Linde M, Debener T. Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses. Plants. 2021 Apr 29;10(5):897. doi: 10.3390/plants10050897
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title = "Detection of Reproducible Major Effect QTL for Petal Traits in Garden Roses",
abstract = "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.",
keywords = "Association mapping, Flower QTL, Fragrance, KASP, Marker-assisted selection, Petal number, Petal size, SNP",
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AU - Schulz, Dietmar

AU - Linde, Marcus

AU - Debener, Thomas

N1 - Funding Information: Funding: This research was supported by a grant from the Aif Projekt GmbH (FKZ: KF2554805MD4) The publication of this article was funded by the Open Access fund of the Leibniz Universität Hannover.

PY - 2021/4/29

Y1 - 2021/4/29

N2 - 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.

AB - 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.

KW - Association mapping

KW - Flower QTL

KW - Fragrance

KW - KASP

KW - Marker-assisted selection

KW - Petal number

KW - Petal size

KW - SNP

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U2 - 10.3390/plants10050897

DO - 10.3390/plants10050897

M3 - Article

C2 - 33946713

VL - 10

JO - Plants

JF - Plants

SN - 2223-7747

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ER -

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