QTL mapping and genomic analyses of earliness and fruit ripening traits in a melon Recombinant Inbred Lines population supported by de novo assembly of their parental genomes.
Journal
Horticulture research
ISSN: 2662-6810
Titre abrégé: Hortic Res
Pays: England
ID NLM: 101655540
Informations de publication
Date de publication:
19 Jan 2022
19 Jan 2022
Historique:
received:
14
09
2021
revised:
01
11
2021
accepted:
04
11
2021
entrez:
19
1
2022
pubmed:
20
1
2022
medline:
20
1
2022
Statut:
aheadofprint
Résumé
Earliness and ripening behavior are important attributes of fruits on and off the vine, and affect quality and preference of both growers and consumers. Fruit ripening is a complex physiological process that involves metabolic shifts affecting fruit color, firmness, and aroma production. Melon is a promising model crop for the study of fruit ripening, as the full spectrum of climacteric behavior is represented across the natural variation. Using Recombinant Inbred Lines (RILs) population derived from the parental lines "Dulce" (reticulatus, climacteric) and "Tam Dew" (inodorus, non-climacteric) that vary in earliness and ripening traits, we mapped QTLs for ethylene emission, fruit firmness and days to flowering and maturity. To further annotate the main QTL intervals and identify candidate genes, we used Oxford Nanopore long-read sequencing in combination with Illumina short-read resequencing, to assemble the parental genomes de-novo. In addition to 2.5 million genome-wide SNPs and short InDels detected between the parents, we also highlight here the structural variation between these lines and the reference melon genome. Through systematic multi-layered prioritization process, we identified 18 potential polymorphisms in candidate genes within multi-trait QTLs. The associations of selected SNPs with earliness and ripening traits were further validated across a panel of 177 diverse melon accessions and across a diallel population of 190 F1 hybrids derived from a core subset of 20 diverse parents. The combination of advanced genomic tools with diverse germplasm and targeted mapping populations is demonstrated as a way to leverage forward genetics strategies to dissect complex horticulturally important traits.
Identifiants
pubmed: 35043206
pii: 6511233
doi: 10.1093/hr/uhab081
pmc: PMC8968493
pii:
doi:
Types de publication
Journal Article
Langues
eng
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press. All rights reserved.
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