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

Lea Vexler, Maria de la O Leyva-Perez, Agnieszka Konkolewska, Corentin R. Clot, Stephen Byrne, Denis Griffin, Tom Ruttink, Ronald C.B. Hutten, Christel Engelen, Richard G.F. Visser, Vanessa Prigge, Silke Wagener, Gisele Lairy-Joly, Jan David Driesprong, Ea Høegh Riis Sundmark, A.N.O. Rookmaker, Herman J. van Eck*, Dan Milbourne*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 standardized 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, neighboring SNPs within an amplicon can be combined to generate multiallelic 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 was 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 Color, After-cooking Blackening, Cooking Type, and Eye depth.

Original languageEnglish
Article numberjkae164
JournalG3: Genes, Genomes, Genetics
Volume14
Issue number10
DOIs
Publication statusPublished - Oct 2024

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