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QTL discovery for agronomic and quality traits in diploid potato clones using PotatoMASH amplicon sequencing.

Authors :
Vexler L
de la O Leyva-Perez M
Konkolewska A
Clot CR
Byrne S
Griffin D
Ruttink T
Hutten RCB
Engelen C
Visser RGF
Prigge V
Wagener S
Lairy-Joly G
Driesprong JD
Riis Sundmark EH
Rookmaker ANO
van Eck HJ
Milbourne D
Source :
G3 (Bethesda, Md.) [G3 (Bethesda)] 2024 Jul 19. Date of Electronic Publication: 2024 Jul 19.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

We genotyped a population of 618 diploid potato clones derived from six independent potato-breeding programmes from NW-Europe. The diploids were phenotyped for 23 traits, using standardised protocols and common check varieties, enabling us to derive whole population estimators for most traits. We subsequently performed a Genome-Wide Association Study (GWAS) to identify quantitative trait loci (QTL) for all traits with SNPs and short-read haplotypes derived from read-backed phasing. In this study, we used a marker platform called PotatoMASH (Potato Multi-Allele Scanning Haplotags); a pooled multiplex amplicon sequencing based approach. Through this method, neighbouring SNPs within an amplicon can be combined to generate multi-allelic short-read haplotypes (haplotags) that capture recombination history between the constituent SNPs, and reflect the allelic diversity of a given locus in a different way than single bi-allelic SNPs. We found a total of 37 unique QTL across both marker types. A core of 10 QTL were detected with SNPs as well as with haplotags. Haplotags allowed to detect an additional 14 QTL not found based on the SNP set. Conversely, the bi-allelic SNP set also found 13 QTL not detectable using the haplotag set. We conclude that both marker types should routinely be used in parallel to maximize the QTL detection power. We report 19 novel QTL for nine traits: Skin Smoothness, Sprout Dormancy, Total Tuber Number, Tuber Length, Yield, Chipping Colour, After-cooking Blackening, Cooking Type and Eye depth.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America.)

Details

Language :
English
ISSN :
2160-1836
Database :
MEDLINE
Journal :
G3 (Bethesda, Md.)
Publication Type :
Academic Journal
Accession number :
39028844
Full Text :
https://doi.org/10.1093/g3journal/jkae164