Version 2

Genotype by sequencing SNP dataset for Malus domestica x Malus sieversii F1 populations GMAL4591 and GMAL4592

Khan, Awais;Tegtmeier, Richard;Zhong, Gan-Yuan;Cobb-Smith, Della

Description

Fire blight, a bacterial disease caused by Erwinia amylovora, is the most devastating disease of apples and a major threat to apple production. Most commercial apple cultivars are susceptible to fire blight driving the need to develop fire blight resistant cultivars. Although several major fire blight resistance QTLs have been identified from wild species of Malus, the challenges of breeding apples due to long juvenile phase and heterozygosity greatly limit their use. M. sieversii, the primary progenitor of domesticated apples, is one of the wild Malus species that is sexually compatible with M. domestica and has some favorable fruit quality traits. In this study, we performed QTL analysis on two F1 apple populations of M. domestica cv. ‘Royal Gala’ × M. sieversii (GMAL4591 and GMAL4592) to identify fire blight resistance QTL. Parental linkage maps were constructed for each family using marker sets of approximately 20K GBS-SNPs. Phenotype data was collected from parents and progeny through controlled fire blight inoculations in the greenhouse for two subsequent years. A significant (P < 0.0001) moderate-effect fire blight resistance QTL on linkage group 7 of GMAL4591 was identified from the paternal parent M. sieversii ‘KAZ 95 17-14’ (Msv_FB7). Msv_FB7 explains about 48–53% of the phenotyping variance across multiple years and time points. Additionally, a significant (P < 0.001) minor effect QTL explaining 18% of the phenotypic variance was identified in population GMAL4592 on LG10 from ‘Royal Gala’. We developed diagnostic SSR markers flanking the Msv_FB7 QTL to use in apple breeding. These findings have the potential to accelerate the development of fire-blight-resistant cultivars.

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Metrics

Dataset Index

0.4

FAIR Score

69%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Dryad

License

Creative Commons Zero v1.0 Universal

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

44%

Source

Scholar Data Model

Keywords

FOS: Agricultural sciencesApplesQTL mappingFire blightMalus sieversiiPlant disease resistance

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00