Inheritance and Quantitative Trait Loci Mapping of Aromatic Compounds from Clementine ( Citrus × clementina Hort. ex Tan.) and Sweet Orange ( C. × sinensis (L.) Osb.) Fruit Essential Oils.
Vincent FerrerGilles CostantinoNoémie PaymalCarole QuintonEstefania Carrillo PerdomoMathieu PaoliPierre MournetPatrick OllitraultFélix TomiFrançois LuroPublished in: Genes (2023)
Despite their importance in food processing, perfumery and cosmetics, the inheritance of sweet orange aromatic compounds, as well as their yield in the fruit peel, has been little analyzed. In the present study, the segregation of aromatic compounds was studied in an F1 population of 77 hybrids resulting from crosses between clementine and blood sweet orange. Fruit-peel essential oils (PEOs) extracted by hydrodistillation were analyzed by gas chromatography coupled with flame ionization detection. Genotyping by sequencing was performed on the parents and the hybrids. The resulting "clementine × sweet blood orange" genetic map consists of 710 SNP markers distributed in nine linkage groups (LGs), representing the nine citrus chromosomes, and spanning 1054 centimorgans. Twenty quantitative trait loci (QTLs) were identified, explaining between 20.5 and 55.0% of the variance of the major aromatic compounds and PEO yield. The QTLs for monoterpenes and aliphatic aldehydes predominantly colocalized on LGs 5 and 8, as did the two QTLs for PEO yield. The sesquiterpene QTLs were located on LGs 1, 3, 6 and 8. The detection of major QTLs associated with the synthesis of aliphatic aldehydes, known for their strong aromatic properties, open the way for marker-assisted selection.
Keyphrases
- genome wide
- gas chromatography
- amino acid
- dna methylation
- mass spectrometry
- high resolution
- copy number
- tandem mass spectrometry
- mitochondrial dna
- high density
- high resolution mass spectrometry
- loop mediated isothermal amplification
- real time pcr
- liquid chromatography
- climate change
- risk assessment
- gene expression
- solid phase extraction
- single cell
- genetic diversity
- neural network
- simultaneous determination
- human health
- quantum dots