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Article|08 Nov 2017|OPEN
Clarifying sub-genomic positions of QTLs for flowering habit and fruit quality in U.S. strawberry (Fragaria×ananassa) breeding populations using pedigree-based QTL analysis
Sujeet Verma1 , Jason D Zurn2 , Natalia Salinas1 , Megan M Mathey3 , Beatrice Denoyes4 , James F Hancock5 , Chad E Finn6 , Nahla V Bassil2 , and Vance M Whitaker,1
1IFAS/Department of Horticulture, University of Florida, Gulf Coast Research and Education Center, 14625 CR 672, Wimauma, FL 33598, USA
2USDA-ARS National Clonal Germplasm Repository, 33447 Peoria Road, Corvallis, OR 97333, USA
3Department of Horticulture, Oregon State University, 4017 Agriculture and Life Sciences Building, Corvallis, OR 97331, USA
4Department of Horticulture, UMR 1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Villenave d’Ornon F-33140, France
5Michigan State University, East Lansing, MI 48824, USA
6USDA-ARS, HCRU, 3420 NW Orchard Avenue, Corvallis, OR 97330, USA
*Corresponding author. E-mail: Nahla.Bassil@ars.usda.gov

Horticulture Research 4,
Article number: 62 (2017)
doi: https://doi.org/10.1038/hortres.2017.62
Views: 1159

Received: 14 Jun 2017
Revised: 02 Oct 2017
Accepted: 04 Oct 2017
Published online: 08 Nov 2017

Abstract

The cultivated strawberry (Fragaria×ananassa) is consumed worldwide for its flavor and nutritional benefits. Genetic analysis of commercially important traits in strawberry are important for the development of breeding methods and tools for this species. Although several quantitative trait loci (QTL) have been previously detected for fruit quality and flowering traits using low-density genetic maps, clarity on the sub-genomic locations of these QTLs was missing. Recent discoveries in allo-octoploid strawberry genomics led to the development of the IStraw90 single-nucleotide polymorphism (SNP) array, enabling high-density genetic maps and finer resolution QTL analysis. In this study, breeder-specified traits were evaluated in the Eastern (Michigan) and Western (Oregon) United States for a common set of breeding populations during 2 years. Several QTLs were validated for soluble solids content (SSC), fruit weight (FWT), pH and titratable acidity (TA) using a pedigree-based QTL analysis approach. For fruit quality, a QTL for SSC on linkage group (LG) 6A, a QTL for FWT on LG 2BII, a QTL for pH on LG 4CII and two QTLs for TA on LGs 2A and 5B were detected. In addition, a large-effect QTL for flowering was detected at the distal end of LG 4A, coinciding with the FaPFRU locus. Marker haplotype analysis in the FaPFRU region indicated that the homozygous recessive genotype was highly predictive of seasonal flowering. SNP probes in the FaPFRU region may help facilitate marker-assisted selection for this trait.